Draft Capstone.ipynb

{"nbformat_minor": 2, "cells": [{"source": "<h1 align=center><font size = 14>...</font></h1>\n\n<h1 align=center><font size = 8> Cousera (Applied Data Science) Capstone Project </font></h1>\n\n<h1 align=center><font size = 4> This IPython notebook contains code and is annotated to answer question from the above. Please uncomment code and run if you want to see how you can search for, select, mine and upload potential data as well as store and clean dataframes with pandas and nympy. These outcomes are used in this notebook for the realizations of the deliverables, this IPython notebook, a report and a blog post. The blog post and other deliverables are available on Github, please do fork and collaborate!!!</font></h1>\n\n<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>\n\n", "cell_type": "markdown", "metadata": {}}, {"source": "<h1 align=center><font size = 8>The Battle of Neighborhoods</font></h1>\n\n\n<h1 align=center><font size = 8></font>Table of Contents:</h1>\n\n\n<h3 align=center><font size = 5></font>1. Business problem</h3>\n\n<h3 align=center><font size = 5></font>2. Data</h3>\n\n<h3 align=center><font size = 5></font>3. Collaborate!!!</h3>\n\n<h3 align=center><font size = 5></font>4. Data Analysis</h3>\n\n<h3 align=center><font size = 5></font>5. Report</h3>\n\n<h3 align=center><font size = 5></font>6. Blog Post)</h3>\n\n<h3 align=center><font size = 14>...</font></h3>\n\n\n\n<h6 align=center><font size = 6></font>Collaborate!!!Collaborate!!!Collaborate!!!Collaborate!!!Collaborate!!!</h6>\n", "cell_type": "markdown", "metadata": {}}, {"source": "<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>\n\n<h1 align=center><font size = 6> 1. Business problem</font></h1>\n\n\n<h2 align=center><font size = 6>Here is a presentation of the business case: 'Relocation Options' </font></h2>\n\n", "cell_type": "markdown", "metadata": {}}, {"source": "\n### A relocation adviser has to make recommendations to person who has two job offers, one in Manhattan, New York and another in York, Toronto. \n\nThe client is Parisian and would like to maintain their lifestyle. \n\n- They want to keep the habit of taking walking to and from work and \n- is picky eater (they only eat at French restaurants),  \n- wants to be in a crime free environment and\n- most of all away from congestion and public transport problems!\n\nThey are undecided as both jobs are equally attractive and money is not a problem for the client and in addition both cities are very diverse and are the financial capitals of their respective countries. But the \u201cbig city buzz\u201d though comparable to Paris, with prestigious hubs and a wealth of recreational activity is prone to have high levels of crime, congestion and public transport problems than would be deemed uncomfortable for the client, he would like to have a calmer lifestyle. So we will focus on the types not amount of venues each neighborhoods has to offer to determine their similarity to Paris and as these results only look at recreational activities, use the The Economist Intelligence Unit's (EIU\u2019s) World\u2019s Most Liveable City index to balance our advice on:  \n\n- Whether Manhattan, New York or York, Toronto be a better home away from home from Reuilly, Paris?\n\n\n## Interested and Affected Parties, IAPs. \n\n- Although at a beginner Level, these Data Science tools and the shared data set allow for a powerful virtual play ground for data exploration, so please do fork on Gitbub and collaborate!!!\n\n- This notebook is approachable enough to be replicated it can be used for collaboration and to expanding the business problem of relocation options used here, or another probem or opportunity that needs geo-coordinates.  \n\n- It was prepared for an assignment for a course on **Coursera** called *Applied Data Science Capstone*, you can take this course online by clicking [here](http://cocl.us/DP0701EN_Coursera_Week3_LAB2). \n\n\n", "cell_type": "markdown", "metadata": {}}, {"source": "<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>\n\n\n<h1 align=center><font size = 6>2. Data</font></h1>\n\n<h2 align=center><font size = 4>The stem data was sourced from two tables , both of which have been converted to pandas dataframes then manipulated in this Lab. The data generated in this lab as well as relevant data generated in two previous Labs have been cleaned and stored as csv files with geo-location coordinates, their corresponding IPython notebooks and maps in html format can be forked at Github</font></h2>\n\n\n", "cell_type": "markdown", "metadata": {}}, {"source": "## Data Sources & Types: \n\n#### The data will be used to cluster and compare the three cities, then rank the neighborhoods from the selected boroughs.\n\nIn prior labs these two cleaned data sets were created, you can download them from Github they have a list of the following neighborhoods with their geo-ordinates as well as venues, gleaned with the Folium App.  \n\n#### Neighborhoods, Geo-Coordinates & Venues: \n\n- New York \n- Toronto\n- Paris\n\n#### Data from this notebook as well as the accompanying data sets and outputs are available on this [Github repository](https://github.com/lindangulopez/Coursera_Capstone)\n\nHere we will analyze real world data. The source document is stored on Github as a gist as well as in the Coursera repository, which means you can fork it and use it as a start for you own data-hack. To contribute, just fork the gist as you would with any git repository. This notebook has code on how to do to do Inferential statistical testing by k-means clustering to analyze each neighborhood in New York, Toronto and Paris, Reuilly as well as algorithms to find the closest inter-city/neighborhood match. Machine Learning will be used to cluster the neighborhoods and 'Liveability' Indicator will be created to 'make recommendations to the client' and published in a report and on a blog.\n\n", "cell_type": "markdown", "metadata": {}}, {"source": "## Stem Data Sources: \n\n## A Wikipedia [Table]( https://en.wikipedia.org/wiki/Quarters_of_Paris). \n\nThe city of Paris is divided into twenty, administrative districts, referred to as 'Arrondissements'. The number of the Arrondissement, the equivalent of boroughs, is indicated by the last two digits in of its postal code, whivh range from 75001 up to 75020. The client lives in the 12th  Arrondissement of Paris close to 'Parc de Bercy' and is attached to its park and the nearby restaurants. This borough is called Reuilly and is situated on the right bank of the river Seine. Each of Paris's 20 boroughs are divided into 4 'quartiers', the equivalent of neighborhoods. He lives in the 49th quarter, which is the Bercy neighborhood. \n\nWe will scrape the data from the following web page:\n\n- when inspect the page we find that what we are looking for is the Wikipedia 'Arrondissements'Table where we find this sort of information\n\n <table class=\"wikitable centre\">\n       <tbody>\n        <tr>\n         <th>\n          <a href=\"/wiki/Arrondissements_of_Paris\" title=\"Arrondissements of Paris\">\n           Arrondissement\n          </a>\n          <br/>\n          (Districts)\n         </th>\n         <th colspan=\"2\">\n          Quartiers\n          <br/>\n          (Quarters)\n         </th>\n         <th>\n          Population in\n          <br/>\n          1999\n          <sup class=\"reference\" id=\"cite_ref-APUR_3-0\">\n           <a href=\"#cite_note-APUR-3\">\n            [3]\n           </a>\n          </sup>\n         </th>\n         <th>\n          Area\n          <br/>\n          (hectares)\n          <sup class=\"reference\" id=\"cite_ref-APUR_3-1\">\n           <a href=\"#cite_note-APUR-3\">\n            [3]\n           </a>\n          </sup>\n         </th>\n         <th>\n          Map\n         </th>\n        </tr>\n        <tr>\n         <td rowspan=\"4\">\n          <a href=\"/wiki/1st_arrondissement_of_Paris\" title=\"1st arrondissement of Paris\">\n           1st arrondissement\n          </a>\n          <br/>\n          (Called \"du Louvre\")\n         </td>\n         <td align=\"right\">\n          1st\n         </td>\n         <td>\n          <a class=\"new\" href=\"/w/index.php?title=Quartier_Saint-Germain-l%27Auxerrois&amp;action=edit&amp;redlink=1\" title=\"Quartier Saint-Germain-l'Auxerrois (page does not exist)\">\n           Saint-Germain-l'Auxerrois\n          </a>\n         </td>\n         <td align=\"right\">\n          1,672\n         </td>\n         <td align=\"right\">\n          86.9\n         </td>\n         <td rowspan=\"4\">\n          <a class=\"image\" href=\"/wiki/File:Quartiers_of_Paris_1er_arrondissement.svg\">\n           <img alt=\"Quartiers of Paris 1er arrondissement.svg\" data-file-height=\"466\" data-file-width=\"572\" decoding=\"async\" height=\"98\" src=\"//upload.wikimedia.org/wikipedia/commons/thumb/e/ed/Quartiers_of_Paris_1er_arrondissement.svg/120px-Quartiers_of_Paris_1er_arrondissement.svg.png\" srcset=\"//upload.wikimedia.org/wikipedia/commons/thumb/e/ed/Quartiers_of_Paris_1er_arrondissement.svg/180px-Quartiers_of_Paris_1er_arrondissement.svg.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/e/ed/Quartiers_of_Paris_1er_arrondissement.svg/240px-Quartiers_of_Paris_1er_arrondissement.svg.png 2x\" width=\"120\"/>\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td align=\"right\">\n          2nd\n         </td>\n         <td>\n          <a class=\"new\" href=\"/w/index.php?title=Quartier_des_Halles_(Paris)&amp;action=edit&amp;redlink=1\" title=\"Quartier des Halles (Paris) (page does not exist)\">\n           Les Halles\n          </a>\n         </td>\n         <td align=\"right\">\n          8,984\n         </td>\n         <td align=\"right\">\n          41.2\n         </td>\n        </tr>\n        <tr>\n         <td align=\"right\">\n          3rd\n         </td>\n         <td>\n          <a class=\"new\" href=\"/w/index.php?title=Quartier_du_Palais-Royal&amp;action=edit&amp;redlink=1\" title=\"Quartier du Palais-Royal (page does not exist)\">\n           Palais-Royal\n          </a>\n         </td>\n         <td align=\"right\">\n          3,195\n         </td>\n         <td align=\"right\">\n          27.4\n         </td>\n        </tr>\n        <tr>\n         <td align=\"right\">\n          4th\n         </td>\n         <td>\n          <a class=\"new\" href=\"/w/index.php?title=Quartier_de_la_Place-Vend%C3%B4me&amp;action=edit&amp;redlink=1\" title=\"Quartier de la Place-Vend\u00f4me (page does not exist)\">\n           Place-Vend\u00f4me\n          </a>\n         </td>\n         <td align=\"right\">\n          3,044\n         </td>\n         <td align=\"right\">\n          26.9\n         </td>\n        </tr>\n        <tr>\n         <td rowspan=\"4\">\n              </tr>\n      \n                       \n       \n             ", "cell_type": "markdown", "metadata": {}}, {"source": "#### A list of both the boroughs and neighborhoods of Paris were gleamed form the above Table and used to get their coordinates with GeoPy and their venues with Folium. \n\n- In this Lab we will use New York's, Toronto's and Paris's sorted venues dataframes to compare the cities and \n- build a Liveability indicator to compare York, Toronto to Manhattan,New York sets then\n- write a report and \n- put up a blog post. ", "cell_type": "markdown", "metadata": {}}, {"source": "## Global Liveability Index [Report]( https://www.eiu.com/topic/liveabilit). \n\nThis index assesses which locations around the world provide the best or the worst living conditions by quantifying the challenges that might be presented to an individual's lifestyle in 140 cities worldwide. Each city is assigned a score for over 30 qualitative and quantitative factors across five broad categories of, which I did some catching up on from these articles: \n\n- [Stability](https://livability.com/search?search_api_fulltext=stability)\n\n- [Health-care](https://livability.com/search?search_api_fulltext=Health-care)\n\n- [Culture and environment](https://livability.com/search?search_api_fulltext=Cuture+Environment)\n\n- [Education and Infrastructure](https://livability.com/search?search_api_fulltext=Education+Infrastructure)\n\n### The New York, Toronto and Paris ranking are given and will used to create a tailor made liveability index for our client:\n\n- we will compare this labs results with that of their Global Liveability Index Ranking.\n\n- then go on to give relocation options and recommendations to the client.\n", "cell_type": "markdown", "metadata": {}}, {"source": "#### The following maps and data were generated from the stem data sources: \n\n- [List of Paris's Neighborhoods, csv file](https://github.com/lindangulopez/Coursera_Capstone/blob/master/P_data.csv).\n\n\n- [Map of Paris's Neighborhoods, html file](https://github.com/lindangulopez/Coursera_Capstone/blob/master/map_paris_neighborhoods.html).\n\n\n- [Map of Reuilly's Neighborhoods, html file](https://github.com/lindangulopez/Coursera_Capstone/blob/master/map_Reuilly.html).\n\n\n- [List of Reuilly's Nearby Venues, csv file](https://github.com/lindangulopez/Coursera_Capstone/blob/master/Reuilly_nearby_venues.csv).\n\n\n- [List of up to Top 100 Reuilly Venues, csv file](https://raw.githubusercontent.com/lindangulopez/Coursera_Capstone/master/Reuilly_venues.csv).\n\n\n- [List of up to Reuilly Venues Sorted, csv file](https://github.com/lindangulopez/Coursera_Capstone/blob/master/Reuilly_neighbourhoods_venues_sorted.csv).\n\n- [Global Liveability Index, csv file](https://github.com/lindangulopez/Coursera_Capstone/blob/master/L_Ranking.csv)\n\n#### In addition is was necessary to generate the following data from existing dataframes: \n\n", "cell_type": "markdown", "metadata": {}}, {"source": "<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>", "cell_type": "markdown", "metadata": {}}, {"source": "\n#### To recreate objects and see outcomes uncomment and re-run!!!\n\n## Exploratory data analysis\n\n- Let's being by importing the basic libraries.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 191, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Libraries imported.\n"}], "source": "import numpy as np # library to handle data in a vectorized manner\nimport pandas as pd # library for data analsysis\nimport requests # Library for web scraping\n\nprint('Libraries imported.')"}, {"execution_count": 218, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#pd.read_csv(\"neighborhoods.csv\") \n\n# uncomment and run this line if you haven't uploaded the csv file yet"}, {"source": "### Read data from file 'filename.csv' \n- Upload the following csv files from to the same folder as this notebook: \n\nhttps://github.com/lindangulopez/Coursera_Capstone/blob/master/neighborhoods.csv\n\nhttps://github.com/lindangulopez/Coursera_Capstone/blob/master/sorted_geoloc.csv  \n\n- reset rows, column names, to be homogeneous ", "cell_type": "markdown", "metadata": {}}, {"execution_count": 219, "cell_type": "code", "metadata": {}, "outputs": [], "source": "pd.read_csv(\"sorted_geoloc.csv\") \n\n# uncomment and run this line if you haven't uploaded the csv file yet"}, {"source": "### The above data sets will be manipulated during the later half of the assignment.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 14, "cell_type": "code", "metadata": {}, "outputs": [], "source": "NY_data = pd.read_csv(\"neighborhoods.csv\") \n# Preview the first 5 lines of the loaded data \n# NY_data.head()"}, {"execution_count": 15, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 15, "metadata": {}, "data": {"text/plain": "['Unnamed: 0', 'Borough', 'Neighborhood', 'Latitude', 'Longitude']"}, "output_type": "execute_result"}], "source": "#NY_cols = NY_data.columns.tolist()\n#NY_cols"}, {"execution_count": 17, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 17, "metadata": {}, "data": {"text/plain": "['Borough', 'Neighborhood', 'Latitude', 'Longitude']"}, "output_type": "execute_result"}], "source": "\n#NY_new_cols = ['Borough',\n 'Neighborhood',\n 'Latitude',\n 'Longitude']\n#NY_new_cols"}, {"execution_count": 18, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#NY_data = NY_data[NY_new_cols]"}, {"execution_count": 19, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 19, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Bronx</td>\n      <td>Wakefield</td>\n      <td>40.894705</td>\n      <td>-73.847201</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Bronx</td>\n      <td>Co-op City</td>\n      <td>40.874294</td>\n      <td>-73.829939</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Bronx</td>\n      <td>Eastchester</td>\n      <td>40.887556</td>\n      <td>-73.827806</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Bronx</td>\n      <td>Fieldston</td>\n      <td>40.895437</td>\n      <td>-73.905643</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Bronx</td>\n      <td>Riverdale</td>\n      <td>40.890834</td>\n      <td>-73.912585</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "  Borough Neighborhood   Latitude  Longitude\n0   Bronx    Wakefield  40.894705 -73.847201\n1   Bronx   Co-op City  40.874294 -73.829939\n2   Bronx  Eastchester  40.887556 -73.827806\n3   Bronx    Fieldston  40.895437 -73.905643\n4   Bronx    Riverdale  40.890834 -73.912585"}, "output_type": "execute_result"}], "source": "#NY_data.head()"}, {"execution_count": 7, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 306 entries, 0 to 305\nData columns (total 4 columns):\nBorough         306 non-null object\nNeighborhood    306 non-null object\nLatitude        306 non-null float64\nLongitude       306 non-null float64\ndtypes: float64(2), object(2)\nmemory usage: 9.6+ KB\n"}], "source": "#NY_data.info()"}, {"execution_count": 20, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "The New York dataframe has 5 boroughs and 306 neighborhoods.\n"}], "source": "#print('The New York dataframe has {} boroughs and {} neighborhoods.'.format(\n        len(NY_data['Borough'].unique()),\n        NY_data.shape[0]\n    )\n)"}, {"source": "now let's do the same for the Toronto data set:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 21, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#T_data = pd.read_csv(\"sorted_geoloc.csv\") \n# Preview the first 5 lines of the loaded data \n#T_data.head()"}, {"execution_count": 22, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 22, "metadata": {}, "data": {"text/plain": "['Unnamed: 0',\n 'PostalCode',\n 'Borough',\n 'Neighbourhood',\n 'Latitude',\n 'Longitude']"}, "output_type": "execute_result"}], "source": "#T_cols = T_data.columns.tolist()\n#T_cols"}, {"execution_count": 23, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#T_data.rename(columns={'Neighbourhood': 'Neighborhood'}, inplace=True)"}, {"execution_count": 73, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#T_data.head()"}, {"execution_count": 24, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 24, "metadata": {}, "data": {"text/plain": "['Unnamed: 0',\n 'PostalCode',\n 'Borough',\n 'Neighborhood',\n 'Latitude',\n 'Longitude']"}, "output_type": "execute_result"}], "source": "#T_cols = T_data.columns.tolist()\n#T_cols"}, {"execution_count": 25, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 25, "metadata": {}, "data": {"text/plain": "['Borough', 'Neighborhood', 'Latitude', 'Longitude']"}, "output_type": "execute_result"}], "source": "#T_new_cols = ['Borough',\n 'Neighborhood',\n 'Latitude',\n 'Longitude']\n#T_new_cols"}, {"execution_count": 26, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#T_data = T_data[T_new_cols]"}, {"execution_count": 27, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 27, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>DowntownToronto</td>\n      <td>Adelaide,King,Richmond</td>\n      <td>43.650571</td>\n      <td>-79.384568</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Scarborough</td>\n      <td>Agincourt</td>\n      <td>43.794200</td>\n      <td>-79.262029</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Scarborough</td>\n      <td>Agincourt North,L'Amoreaux East,Milliken,Steel...</td>\n      <td>43.815252</td>\n      <td>-79.284577</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Etobicoke</td>\n      <td>Albion Gardens,Beaumond Heights,Humbergate,Jam...</td>\n      <td>43.739416</td>\n      <td>-79.588437</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Etobicoke</td>\n      <td>Alderwood,Long Branch</td>\n      <td>43.602414</td>\n      <td>-79.543484</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "           Borough                                       Neighborhood  \\\n0  DowntownToronto                             Adelaide,King,Richmond   \n1      Scarborough                                          Agincourt   \n2      Scarborough  Agincourt North,L'Amoreaux East,Milliken,Steel...   \n3        Etobicoke  Albion Gardens,Beaumond Heights,Humbergate,Jam...   \n4        Etobicoke                              Alderwood,Long Branch   \n\n    Latitude  Longitude  \n0  43.650571 -79.384568  \n1  43.794200 -79.262029  \n2  43.815252 -79.284577  \n3  43.739416 -79.588437  \n4  43.602414 -79.543484  "}, "output_type": "execute_result"}], "source": "#T_data.head()"}, {"execution_count": 16, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 103 entries, 0 to 102\nData columns (total 4 columns):\nBorough         103 non-null object\nNeighborhood    103 non-null object\nLatitude        103 non-null float64\nLongitude       103 non-null float64\ndtypes: float64(2), object(2)\nmemory usage: 3.3+ KB\n"}], "source": "#T_data.info()"}, {"execution_count": 28, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "The Toronto dataframe has 11 boroughs and 103 neighborhoods.\n"}], "source": "#print('The Toronto dataframe has {} boroughs and {} neighborhoods.'.format(\n        #len(T_data['Borough'].unique()),\n        #T_data.shape[0]\n    #)\n#)"}, {"source": "### Save dataframes as csv files:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 29, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#NY_data.to_csv('NY_geloc.csv')"}, {"execution_count": 30, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#T_data.to_csv('T_geoloc.csv')"}, {"source": "Now let's go on to do:\n\n## Data Mining, with\n- pandas \n- BeautifulSoup \n- Foursquare API\n\n## Data Munging, with\n- with NumPy\n", "cell_type": "markdown", "metadata": {}}, {"source": "## Web scraping\n\nLet's download and Expore the Dataset with the following tools so that we can convert addresses into their equivalent latitude and longitude values. Go on to use the Foursquare API to explore neighborhoods in New York, Toronto and Paris. We will use their 'explore' function to get the most common venue categories in each neighborhood, and then use this feature to group the neighborhoods into clusters.\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 31, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "BeautifulSoup  & csv imported.\n"}], "source": "# To run this, you can install BeautifulSoup\n# https://pypi.python.org/pypi/beautifulsoup4\n\n# Or download the file\n# http://beautiful-soup-4\n# and unzip it in the same directory as this file\nimport requests\nfrom urllib.request import urlopen\nfrom bs4 import BeautifulSoup\nimport ssl\nimport csv\n\nprint('BeautifulSoup  & csv imported.')"}, {"execution_count": 32, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "SSL certificate errors ignored.\n"}], "source": "# Ignore SSL certificate errors\nctx = ssl.create_default_context()\nctx.check_hostname = False\nctx.verify_mode = ssl.CERT_NONE\n\nprint('SSL certificate errors ignored.')"}, {"source": "\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 33, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "soup ready\n"}], "source": "#source = requests.get('https://en.wikipedia.org/wiki/Quarters_of_Paris').text\n\n#soup = BeautifulSoup(source, 'lxml')\n\n#print(soup.prettify())\n#print('soup ready')"}, {"execution_count": 34, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#table = soup.find('table',{'class':'wikitable centre'})\n#print(table.prettify())"}, {"execution_count": 35, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#table_rows = table.find_all('tr')\n\n#table_rows[0:6]"}, {"execution_count": 36, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#P_data = []\n\n#for row in table_rows:\n    #w_table = row.text.split('\\n')[1:-1]\n    #P_data.append(w_table)\n    \n#P_data   \n\n"}, {"execution_count": 37, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 37, "metadata": {}, "data": {"text/plain": "['Arrondissement(Districts)',\n '',\n 'Quartiers(Quarters)',\n '',\n 'Population in1999[3]',\n '',\n 'Area(hectares)[3]',\n '',\n 'Map']"}, "output_type": "execute_result"}], "source": "#P_data[0]\n# has the column names"}, {"execution_count": 38, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 38, "metadata": {}, "data": {"text/plain": "[['1st arrondissement(Called \"du Louvre\")',\n  '',\n  '1st',\n  \"Saint-Germain-l'Auxerrois\",\n  '1,672',\n  '86.9',\n  '',\n  ''],\n ['2nd', 'Les Halles', '8,984', '41.2'],\n ['3rd', 'Palais-Royal', '3,195', '27.4'],\n ['4th', 'Place-Vend\u00f4me', '3,044', '26.9']]"}, "output_type": "execute_result"}], "source": "#P_data[1:5] \n# data e.g..."}, {"execution_count": 39, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df = pd.DataFrame(P_data)\n#Paris_df.head(15)"}, {"execution_count": 40, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df.to_csv('Paris_data3.csv')"}, {"execution_count": 12, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df.info()"}, {"execution_count": 41, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 41, "metadata": {}, "data": {"text/plain": "RangeIndex(start=0, stop=9, step=1)"}, "output_type": "execute_result"}], "source": "#Paris_df.columns"}, {"execution_count": 42, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df2 = Paris_df.drop(Paris_df.columns[[4,5,6,7,8]], axis=1)  # df.columns is zero-based pd.Index \n\n# I've kept colums 2nd & 3rd columns as the brough/Arrondissement enry spans four colums "}, {"execution_count": 24, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df2.head()"}, {"execution_count": 43, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df.rename(columns={0: 'Borough', 1: 'Neighborhood'}, inplace=True)"}, {"execution_count": 38, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df.head()"}, {"execution_count": 44, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 44, "metadata": {}, "data": {"text/plain": "Index(['Borough', 'Neighborhood', 2, 3, 4, 5, 6, 7, 8], dtype='object')"}, "output_type": "execute_result"}], "source": "#Paris_df.columns"}, {"execution_count": 45, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df['Address']=Paris_df['Borough'] + ' , ' + Paris_df['Neighborhood']"}, {"execution_count": 7, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df.head()"}, {"execution_count": 46, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df = Paris_df.drop(Paris_df.columns[[4, 5, 6, 7, 8]], axis=1)  # df.columns is zero-based pd.Index "}, {"execution_count": 44, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df.head()"}, {"execution_count": 47, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df2 = Paris_df[1:] "}, {"execution_count": 8, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df2.head()"}, {"execution_count": 48, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_df2.to_csv('Paris_data.csv')\n# will clean dataframe and upload again, ..."}, {"execution_count": 49, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data1 = pd.read_csv(\"Paris_geocods.csv\") "}, {"execution_count": 36, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data1.head(6)"}, {"execution_count": 50, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 50, "metadata": {}, "data": {"text/plain": "Index(['Unnamed: 0', 'Borough', 'Neighborhood', 'Address', 'Coordinates'], dtype='object')"}, "output_type": "execute_result"}], "source": "#Paris_data1.columns"}, {"execution_count": 51, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data1.to_csv('p_geoloc1.csv')"}, {"source": "## Now Let's get the coordinates with GeoPy", "cell_type": "markdown", "metadata": {}}, {"execution_count": 52, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Collecting package metadata: done\nSolving environment: - \nThe environment is inconsistent, please check the package plan carefully\nThe following packages are causing the inconsistency:\n\n  - defaults/linux-64::anaconda==5.3.1=py37_0\n  - defaults/linux-64::astropy==3.0.4=py37h14c3975_0\n  - defaults/linux-64::bkcharts==0.2=py37_0\n  - defaults/linux-64::blaze==0.11.3=py37_0\n  - defaults/linux-64::bokeh==0.13.0=py37_0\n  - defaults/linux-64::bottleneck==1.2.1=py37h035aef0_1\n  - defaults/linux-64::dask==0.19.1=py37_0\n  - defaults/linux-64::datashape==0.5.4=py37_1\n  - defaults/linux-64::mkl-service==1.1.2=py37h90e4bf4_5\n  - defaults/linux-64::numba==0.39.0=py37h04863e7_0\n  - defaults/linux-64::numexpr==2.6.8=py37hd89afb7_0\n  - defaults/linux-64::odo==0.5.1=py37_0\n  - defaults/linux-64::pytables==3.4.4=py37ha205bf6_0\n  - defaults/linux-64::pytest-arraydiff==0.2=py37h39e3cac_0\n  - defaults/linux-64::pytest-astropy==0.4.0=py37_0\n  - defaults/linux-64::pytest-doctestplus==0.1.3=py37_0\n  - defaults/linux-64::pywavelets==1.0.0=py37hdd07704_0\n  - defaults/linux-64::scikit-image==0.14.0=py37hf484d3e_1\ndone\n\n# All requested packages already installed.\n\nLibraries imported.\n"}], "source": "import numpy as np # library to handle data in a vectorized manner\n\nimport pandas as pd # library for data analsysis\npd.set_option('display.max_columns', None)\npd.set_option('display.max_rows', None)\n\nimport json # library to handle JSON files\n\n#!conda install -c conda-forge geopy --yes # uncomment this line if you haven't completed the Foursquare API lab\nfrom geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n\nimport requests # library to handle requests\nfrom pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n\n# Matplotlib and associated plotting modules\nimport matplotlib.cm as cm\nimport matplotlib.colors as colors\n\n# import k-means from clustering stage\nfrom sklearn.cluster import KMeans\n\n!conda install -c conda-forge folium=0.5.0 --yes \nimport folium # map rendering library\n\nprint('Libraries imported.')"}, {"source": "## Get the latitude and the longitude coordinates of each neighborhood, used Geopy:\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 53, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Requirement already satisfied: geopy in /home/jupyterlab/conda/lib/python3.6/site-packages (1.11.0)\nNote: you may need to restart the kernel to use updated packages.\n"}], "source": "pip install geopy\n"}, {"execution_count": 54, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Requirement already satisfied: geocoder in /home/jupyterlab/conda/lib/python3.6/site-packages (1.38.1)\nRequirement already satisfied: click in /home/jupyterlab/conda/lib/python3.6/site-packages (from geocoder) (7.0)\nRequirement already satisfied: requests in /home/jupyterlab/conda/lib/python3.6/site-packages (from geocoder) (2.21.0)\nRequirement already satisfied: ratelim in /home/jupyterlab/conda/lib/python3.6/site-packages (from geocoder) (0.1.6)\nRequirement already satisfied: six in /home/jupyterlab/conda/lib/python3.6/site-packages (from geocoder) (1.12.0)\nRequirement already satisfied: future in /home/jupyterlab/conda/lib/python3.6/site-packages (from geocoder) (0.17.1)\nRequirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/jupyterlab/conda/lib/python3.6/site-packages (from requests->geocoder) (3.0.4)\nRequirement already satisfied: urllib3<1.25,>=1.21.1 in /home/jupyterlab/conda/lib/python3.6/site-packages (from requests->geocoder) (1.24.1)\nRequirement already satisfied: certifi>=2017.4.17 in /home/jupyterlab/conda/lib/python3.6/site-packages (from requests->geocoder) (2019.6.16)\nRequirement already satisfied: idna<2.9,>=2.5 in /home/jupyterlab/conda/lib/python3.6/site-packages (from requests->geocoder) (2.8)\nRequirement already satisfied: decorator in /home/jupyterlab/conda/lib/python3.6/site-packages (from ratelim->geocoder) (4.4.0)\nNote: you may need to restart the kernel to use updated packages.\n"}], "source": "pip install geocoder"}, {"source": "#### Use Geopy & OpenStreetMap to create Dataframe", "cell_type": "markdown", "metadata": {}}, {"source": "- test Nominatim", "cell_type": "markdown", "metadata": {}}, {"execution_count": 55, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "latitude is :- 48.8566101 \nlongtitude is:- 2.3514992\n"}], "source": "#from  geopy.geocoders import Nominatim\n\n#geolocator = Nominatim()\n#city =\"Paris\"\n#country =\"France\"\n#loc = geolocator.geocode(city+','+ country)\n#print(\"latitude is :-\" ,loc.latitude,\"\\nlongtitude is:-\" ,loc.longitude)"}, {"execution_count": 56, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Place Vend\u00f4me, Vend\u00f4me, 1er, Paris, \u00cele-de-France, France m\u00e9tropolitaine, 75001, France\n\n(48.8673216, 2.3294834)\n\n{'place_id': 69432807, 'licence': 'Data \u00a9 OpenStreetMap contributors, ODbL 1.0. https://osm.org/copyright', 'osm_type': 'way', 'osm_id': 4234145, 'boundingbox': ['48.8670807', '48.8678692', '2.3290359', '2.3298336'], 'lat': '48.8673216', 'lon': '2.3294834', 'display_name': 'Place Vend\u00f4me, Vend\u00f4me, 1er, Paris, \u00cele-de-France, France m\u00e9tropolitaine, 75001, France', 'class': 'highway', 'type': 'tertiary', 'importance': 0.46235286804561404}\n"}], "source": "#from  geopy.geocoders import Nominatim\n#geolocator = Nominatim()\n#location = geolocator.geocode(\"1st arrondissement du Louvre, 4th , Place-Vendome\")\n\n#print(location.address)\n#print('')\n#print((location.latitude, location.longitude))\n#print('')\n#print(location.raw)"}, {"source": "- Retrieve coordinates with with lambda equation", "cell_type": "markdown", "metadata": {}}, {"execution_count": 57, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_geopy=Paris_data1\n#Paris_geopy.info()"}, {"source": "- Set connection to OpenStreeMap ", "cell_type": "markdown", "metadata": {}}, {"execution_count": 58, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#nom = Nominatim()"}, {"execution_count": 59, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 59, "metadata": {}, "data": {"text/plain": "Location(Place Vend\u00f4me, Vend\u00f4me, 1er, Paris, \u00cele-de-France, France m\u00e9tropolitaine, 75001, France, (48.8673216, 2.3294834, 0.0))"}, "output_type": "execute_result"}], "source": "#n=nom.geocode('1st arrondissement du Louvre, 4th , Place-Vendome')\n#n"}, {"execution_count": 60, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 60, "metadata": {}, "data": {"text/plain": "48.8673216"}, "output_type": "execute_result"}], "source": "#n.latitude"}, {"source": "- Use 'Coordinates' to get geocode coordinates:\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 61, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 61, "metadata": {}, "data": {"text/plain": "Index(['Unnamed: 0', 'Borough', 'Neighborhood', 'Address', 'Coordinates'], dtype='object')"}, "output_type": "execute_result"}], "source": "#Paris_geopy.columns"}, {"execution_count": 62, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#P_Coordinates= Paris_geopy['Coordinates']\n#P_Coordinates"}, {"execution_count": 188, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 188, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Address</th>\n      <th>Coordinates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Saint-Germain-l'Auxerrois</td>\n      <td>1st arrondissement du Louvre, 1st, Saint-Germa...</td>\n      <td>Saint-Germain l'Auxerrois, Acc\u00e8s Parking Saint...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Les Halles</td>\n      <td>1st arrondissement du Louvre, 2nd , Les Halles</td>\n      <td>Les Halles, 1er, Paris, \u00cele-de-France, France ...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Palais-Royal</td>\n      <td>1st arrondissement du Louvre, 3rd , Palais-Royal</td>\n      <td>Palais Royal, 1er, Paris, \u00cele-de-France, Franc...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Place-Vendome</td>\n      <td>1st arrondissement du Louvre, 4th , Place-Vendome</td>\n      <td>Place Vend\u00f4me, Vend\u00f4me, 1er, Paris, \u00cele-de-Fra...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>2nd arrondissement de la Bourse</td>\n      <td>Gaillon</td>\n      <td>2nd arrondissement de la Bourse, 5th, Gaillon</td>\n      <td>Gaillon, 2e, Paris, \u00cele-de-France, France m\u00e9tr...</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0                          Borough               Neighborhood  \\\n0           0     1st arrondissement du Louvre  Saint-Germain-l'Auxerrois   \n1           1     1st arrondissement du Louvre                 Les Halles   \n2           2     1st arrondissement du Louvre               Palais-Royal   \n3           3     1st arrondissement du Louvre              Place-Vendome   \n4           4  2nd arrondissement de la Bourse                    Gaillon   \n\n                                             Address  \\\n0  1st arrondissement du Louvre, 1st, Saint-Germa...   \n1     1st arrondissement du Louvre, 2nd , Les Halles   \n2   1st arrondissement du Louvre, 3rd , Palais-Royal   \n3  1st arrondissement du Louvre, 4th , Place-Vendome   \n4      2nd arrondissement de la Bourse, 5th, Gaillon   \n\n                                         Coordinates  \n0  Saint-Germain l'Auxerrois, Acc\u00e8s Parking Saint...  \n1  Les Halles, 1er, Paris, \u00cele-de-France, France ...  \n2  Palais Royal, 1er, Paris, \u00cele-de-France, Franc...  \n3  Place Vend\u00f4me, Vend\u00f4me, 1er, Paris, \u00cele-de-Fra...  \n4  Gaillon, 2e, Paris, \u00cele-de-France, France m\u00e9tr...  "}, "output_type": "execute_result"}], "source": "#Paris_geopy['Latitude']=Paris_geopy['Coordinates'].apply(lambda x: x.latitude if x !=None else None)\n#Paris_geopy['Longitude']=Paris_geopy['Coordinates'].apply(lambda x: x.longitude if x !=None else None)\n\n#Paris_geopy.head()\n\n# uncomment and run this line if you cannot upload the csv file\n\n"}, {"execution_count": 35, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_geopy.info()"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Paris_data = pd.read_csv(\"Paris_geoloc.csv\") "}, {"execution_count": 66, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.head()"}, {"execution_count": 65, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.info()"}, {"execution_count": 49, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Address = Paris_data['Address']\n#Address"}, {"execution_count": 51, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#longitude = Paris_data['longitude']\n#longitude"}, {"execution_count": 53, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#latitude = Paris_data['latitude']\n#latitude"}, {"execution_count": 58, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 58, "metadata": {}, "data": {"text/plain": "['Unnamed: 0',\n 'Borough',\n 'Neighborhood',\n 'Address',\n 'Coordinates',\n 'latitude',\n 'longitude']"}, "output_type": "execute_result"}], "source": "#Paris_cols = Paris_data.columns.tolist()\n#Paris_cols"}, {"execution_count": 60, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 60, "metadata": {}, "data": {"text/plain": "['Borough', 'Neighborhood', 'latitude', 'longitude']"}, "output_type": "execute_result"}], "source": "#P_new_cols = ['Borough',\n #'Neighborhood',\n #'latitude',\n #'longitude']\n#P_new_cols"}, {"execution_count": 61, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data = Paris_data[P_new_cols]"}, {"execution_count": 10, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 10, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Address</th>\n      <th>Coordinates</th>\n      <th>latitude</th>\n      <th>longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Saint-Germain-l'Auxerrois</td>\n      <td>1st arrondissement du Louvre, 1st, Saint-Germa...</td>\n      <td>Saint-Germain l'Auxerrois, Acc\u00e8s Parking Saint...</td>\n      <td>48.859696</td>\n      <td>2.340633</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Les Halles</td>\n      <td>1st arrondissement du Louvre, 2nd , Les Halles</td>\n      <td>Les Halles, 1er, Paris, \u00cele-de-France, France ...</td>\n      <td>48.862157</td>\n      <td>2.344796</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Palais-Royal</td>\n      <td>1st arrondissement du Louvre, 3rd , Palais-Royal</td>\n      <td>Palais Royal, 1er, Paris, \u00cele-de-France, Franc...</td>\n      <td>48.864605</td>\n      <td>2.336051</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Place-Vendome</td>\n      <td>1st arrondissement du Louvre, 4th , Place-Vendome</td>\n      <td>Place Vend\u00f4me, Vend\u00f4me, 1er, Paris, \u00cele-de-Fra...</td>\n      <td>48.867322</td>\n      <td>2.329483</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>2nd arrondissement de la Bourse</td>\n      <td>Gaillon</td>\n      <td>2nd arrondissement de la Bourse, 5th, Gaillon</td>\n      <td>Gaillon, 2e, Paris, \u00cele-de-France, France m\u00e9tr...</td>\n      <td>48.869135</td>\n      <td>2.332909</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0                          Borough               Neighborhood  \\\n0           0     1st arrondissement du Louvre  Saint-Germain-l'Auxerrois   \n1           1     1st arrondissement du Louvre                 Les Halles   \n2           2     1st arrondissement du Louvre               Palais-Royal   \n3           3     1st arrondissement du Louvre              Place-Vendome   \n4           4  2nd arrondissement de la Bourse                    Gaillon   \n\n                                             Address  \\\n0  1st arrondissement du Louvre, 1st, Saint-Germa...   \n1     1st arrondissement du Louvre, 2nd , Les Halles   \n2   1st arrondissement du Louvre, 3rd , Palais-Royal   \n3  1st arrondissement du Louvre, 4th , Place-Vendome   \n4      2nd arrondissement de la Bourse, 5th, Gaillon   \n\n                                         Coordinates   latitude  longitude  \n0  Saint-Germain l'Auxerrois, Acc\u00e8s Parking Saint...  48.859696   2.340633  \n1  Les Halles, 1er, Paris, \u00cele-de-France, France ...  48.862157   2.344796  \n2  Palais Royal, 1er, Paris, \u00cele-de-France, Franc...  48.864605   2.336051  \n3  Place Vend\u00f4me, Vend\u00f4me, 1er, Paris, \u00cele-de-Fra...  48.867322   2.329483  \n4  Gaillon, 2e, Paris, \u00cele-de-France, France m\u00e9tr...  48.869135   2.332909  "}, "output_type": "execute_result"}], "source": "#Paris_data.head()"}, {"execution_count": 67, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.to_csv('P_data.csv')"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#print('The dataframe has {} boroughs and {} neighborhoods.'.format(\n        #len(Paris_data['Borough'].unique()),\n        #Paris_data.shape[0]\n    #)\n#)"}, {"execution_count": 75, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data\n# Borough[13:15] cells need to be modified to '4th arrondissement de l'Hotel-de-Ville'!"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#print(Paris_data.iat[12, 1])\n#print(Paris_data.iat[13, 1])\n#print(Paris_data.iat[14, 1])\n#print(Paris_data.iat[15, 1])"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.iat[12, 1] = '4th arrondissement de l Hotel de Ville'"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#print(Paris_data.iat[12, 1])"}, {"execution_count": 31, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.iat[13, 1] = '4th arrondissement de l Hotel de Ville'\n#Paris_data.iat[14, 1] = '4th arrondissement de l Hotel de Ville'\n#Paris_data.iat[15, 1] = '4th arrondissement de l Hotel de Ville'"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#print(Paris_data.iat[12, 1])\n#print(Paris_data.iat[13, 1])\n#print(Paris_data.iat[14, 1])\n#print(Paris_data.iat[15, 1])"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#print('The dataframe has {} boroughs and {} neighborhoods.'.format(\n        #len(Paris_data['Borough'].unique()),\n        #Paris_data.shape[0]\n    #)\n#)"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.to_csv('P_data.csv')\n"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.head()"}, {"execution_count": 39, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 39, "metadata": {}, "data": {"text/plain": "['Borough', 'Neighborhood', 'latitude', 'longitude']"}, "output_type": "execute_result"}], "source": "#P_new_cols = ['Borough',\n #'Neighborhood',\n #'latitude',\n #'longitude']\n#P_new_cols"}, {"execution_count": 40, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data = Paris_data[P_new_cols]"}, {"execution_count": 10, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 10, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>latitude</th>\n      <th>longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Saint-Germain-l'Auxerrois</td>\n      <td>48.859696</td>\n      <td>2.340633</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Les Halles</td>\n      <td>48.862157</td>\n      <td>2.344796</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Palais-Royal</td>\n      <td>48.864605</td>\n      <td>2.336051</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>1st arrondissement du Louvre</td>\n      <td>Place-Vendome</td>\n      <td>48.867322</td>\n      <td>2.329483</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>2nd arrondissement de la Bourse</td>\n      <td>Gaillon</td>\n      <td>48.869135</td>\n      <td>2.332909</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0                          Borough               Neighborhood  \\\n0           0     1st arrondissement du Louvre  Saint-Germain-l'Auxerrois   \n1           1     1st arrondissement du Louvre                 Les Halles   \n2           2     1st arrondissement du Louvre               Palais-Royal   \n3           3     1st arrondissement du Louvre              Place-Vendome   \n4           4  2nd arrondissement de la Bourse                    Gaillon   \n\n    latitude  longitude  \n0  48.859696   2.340633  \n1  48.862157   2.344796  \n2  48.864605   2.336051  \n3  48.867322   2.329483  \n4  48.869135   2.332909  "}, "output_type": "execute_result"}], "source": "#Paris_data.head()"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.info()"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Paris_data.to_csv('P_data.csv')"}, {"source": "## Data analytics, with\n- with Folium\n\nTo visualize the neighborhoods and their emerging clusters, with the Folium library\n", "cell_type": "markdown", "metadata": {}}, {"source": "- building Interactive Leaflet Maps with Geopy:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 8, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Collecting package metadata: done\nSolving environment: | \nThe environment is inconsistent, please check the package plan carefully\nThe following packages are causing the inconsistency:\n\n  - defaults/linux-64::anaconda==5.3.1=py37_0\n  - defaults/linux-64::astropy==3.0.4=py37h14c3975_0\n  - defaults/linux-64::bkcharts==0.2=py37_0\n  - defaults/linux-64::blaze==0.11.3=py37_0\n  - defaults/linux-64::bokeh==0.13.0=py37_0\n  - defaults/linux-64::bottleneck==1.2.1=py37h035aef0_1\n  - defaults/linux-64::dask==0.19.1=py37_0\n  - defaults/linux-64::datashape==0.5.4=py37_1\n  - defaults/linux-64::mkl-service==1.1.2=py37h90e4bf4_5\n  - defaults/linux-64::numba==0.39.0=py37h04863e7_0\n  - defaults/linux-64::numexpr==2.6.8=py37hd89afb7_0\n  - defaults/linux-64::odo==0.5.1=py37_0\n  - defaults/linux-64::pytables==3.4.4=py37ha205bf6_0\n  - defaults/linux-64::pytest-arraydiff==0.2=py37h39e3cac_0\n  - defaults/linux-64::pytest-astropy==0.4.0=py37_0\n  - defaults/linux-64::pytest-doctestplus==0.1.3=py37_0\n  - defaults/linux-64::pywavelets==1.0.0=py37hdd07704_0\n  - defaults/linux-64::scikit-image==0.14.0=py37hf484d3e_1\ndone\n\n# All requested packages already installed.\n\nLibraries imported.\n"}], "source": "import numpy as np # library to handle data in a vectorized manner\n\nimport pandas as pd # library for data analsysis\npd.set_option('display.max_columns', None)\npd.set_option('display.max_rows', None)\n\nimport json # library to handle JSON files\n\n#!conda install -c conda-forge geopy --yes # uncomment this line if you haven't completed the Foursquare API lab\nfrom geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n\nimport requests # library to handle requests\nfrom pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n\n# Matplotlib and associated plotting modules\nimport matplotlib.cm as cm\nimport matplotlib.colors as colors\n\n# import k-means from clustering stage\nfrom sklearn.cluster import KMeans\n\n!conda install -c conda-forge folium=0.5.0 --yes \nimport folium # map rendering library\n\nprint('Libraries imported.')"}, {"execution_count": 64, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Paris_data = pd.read_csv(\"P_data.csv\") \n"}, {"execution_count": 65, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "The dataframe has 20 boroughs and 80 neighborhoods.\n"}], "source": "#print('The dataframe has {} boroughs and {} neighborhoods.'.format(\n        #len(Paris_data['Borough'].unique()),\n        #Paris_data.shape[0]\n    #)\n#)"}, {"execution_count": 66, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "The geograpical coordinate of Paris are 48.8566101, 2.3514992.\n"}], "source": "#address = 'Paris'\n\n#geolocator = Nominatim()\n#location = geolocator.geocode(address)\n#latitude = location.latitude\n#longitude = location.longitude\n#print('The geograpical coordinate of Paris are {}, {}.'.format(latitude, longitude))"}, {"execution_count": 67, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Collecting package metadata: done\nSolving environment: - \nThe environment is inconsistent, please check the package plan carefully\nThe following packages are causing the inconsistency:\n\n  - defaults/linux-64::anaconda==5.3.1=py37_0\n  - defaults/linux-64::astropy==3.0.4=py37h14c3975_0\n  - defaults/linux-64::bkcharts==0.2=py37_0\n  - defaults/linux-64::blaze==0.11.3=py37_0\n  - defaults/linux-64::bokeh==0.13.0=py37_0\n  - defaults/linux-64::bottleneck==1.2.1=py37h035aef0_1\n  - defaults/linux-64::dask==0.19.1=py37_0\n  - defaults/linux-64::datashape==0.5.4=py37_1\n  - defaults/linux-64::mkl-service==1.1.2=py37h90e4bf4_5\n  - defaults/linux-64::numba==0.39.0=py37h04863e7_0\n  - defaults/linux-64::numexpr==2.6.8=py37hd89afb7_0\n  - defaults/linux-64::odo==0.5.1=py37_0\n  - defaults/linux-64::pytables==3.4.4=py37ha205bf6_0\n  - defaults/linux-64::pytest-arraydiff==0.2=py37h39e3cac_0\n  - defaults/linux-64::pytest-astropy==0.4.0=py37_0\n  - defaults/linux-64::pytest-doctestplus==0.1.3=py37_0\n  - defaults/linux-64::pywavelets==1.0.0=py37hdd07704_0\n  - defaults/linux-64::scikit-image==0.14.0=py37hf484d3e_1\ndone\n\n# All requested packages already installed.\n\n"}], "source": "!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't completed the Foursquare API lab\n"}, {"source": "## Test set with boroughs in Paris:\n\n- if you cannot generate the maps open *.html from the zip file\n\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 68, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "imported pandas & folium\n"}], "source": "import pandas as pd\nimport folium\n\nprint('imported pandas & folium')"}, {"execution_count": 69, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 80 entries, 0 to 79\nData columns (total 5 columns):\nUnnamed: 0      80 non-null int64\nBorough         80 non-null object\nNeighborhood    80 non-null object\nlatitude        80 non-null float64\nlongitude       80 non-null float64\ndtypes: float64(2), int64(1), object(2)\nmemory usage: 3.2+ KB\n"}], "source": "#Paris_data.info()"}, {"execution_count": 220, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#neighborhood = Paris_data['Neighborhood']\n#neighborhood"}, {"execution_count": 71, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#lat=Paris_data['latitude']\n#lat\n"}, {"execution_count": 72, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#lng=Paris_data['longitude']\n#lng"}, {"execution_count": 73, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#borough=Paris_data['Borough']\n#borough"}, {"source": "## Map of Paris Map\n\n- with its neighborhoods superimposed on top.\n\n- if you cannot replicate the lab open the *.html on Github", "cell_type": "markdown", "metadata": {}}, {"execution_count": 77, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# create map of Toronto using latitude and longitude values\n#map_paris_neighborhoods = folium.Map(location=[latitude, longitude], zoom_start=20)\n\n# add markers to map\n#for lat, lng, borough, neighborhood in zip(Paris_data['latitude'], Paris_data['longitude'], Paris_data['Borough'], Paris_data['Neighborhood']):\n    #label = '{}, {}'.format(neighborhood, borough)\n    #label = folium.Popup(label, parse_html=True)\n    #folium.CircleMarker(\n     #   [lat, lng],\n      #  radius=2,\n       # popup=label,\n        #color='blue',\n        #fill=True,\n        #fill_color='#3186cc',\n        #fill_opacity=0.7,\n        #parse_html=False).add_to(map_paris_neighborhoods)  \n    \n#map_paris_neighborhoods\n\n#map_paris_neighborhoods.save(\"map_paris_neighborhoods.html\")\n\n#open map_paris_neighborhoods.html in browser\n#if you cannot generate the maps open the map's html on Github"}, {"source": "#### To kick off, let's focus on the clients home borough, Reuilly", "cell_type": "markdown", "metadata": {}}, {"execution_count": 78, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "The geograpical coordinates of Reuilly are 48.8396154, 2.3957517.\n"}], "source": "#address = '12th arrondissement de Reuilly, Paris'\n\n#geolocator = Nominatim()\n#location = geolocator.geocode(address)\n#latitude = location.latitude\n#longitude = location.longitude\n#print('The geograpical coordinates of Reuilly are {}, {}.'.format(latitude, longitude))"}, {"execution_count": 79, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 79, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>latitude</th>\n      <th>longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>44</td>\n      <td>12th arrondissement de Reuilly</td>\n      <td>Bel-Air</td>\n      <td>48.852874</td>\n      <td>2.363723</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>45</td>\n      <td>12th arrondissement de Reuilly</td>\n      <td>Picpus</td>\n      <td>48.834385</td>\n      <td>2.387224</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>46</td>\n      <td>12th arrondissement de Reuilly</td>\n      <td>Bercy</td>\n      <td>48.839487</td>\n      <td>2.390523</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>47</td>\n      <td>12th arrondissement de Reuilly</td>\n      <td>Quinze-Vingts</td>\n      <td>48.851250</td>\n      <td>2.370110</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0                         Borough   Neighborhood   latitude  \\\n0          44  12th arrondissement de Reuilly        Bel-Air  48.852874   \n1          45  12th arrondissement de Reuilly         Picpus  48.834385   \n2          46  12th arrondissement de Reuilly          Bercy  48.839487   \n3          47  12th arrondissement de Reuilly  Quinze-Vingts  48.851250   \n\n   longitude  \n0   2.363723  \n1   2.387224  \n2   2.390523  \n3   2.370110  "}, "output_type": "execute_result"}], "source": "#Reuilly_data = Paris_data[Paris_data['Borough'] == '12th arrondissement de Reuilly'].reset_index(drop=True)\n#Reuilly_data"}, {"execution_count": 80, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 4 entries, 0 to 3\nData columns (total 5 columns):\nUnnamed: 0      4 non-null int64\nBorough         4 non-null object\nNeighborhood    4 non-null object\nlatitude        4 non-null float64\nlongitude       4 non-null float64\ndtypes: float64(2), int64(1), object(2)\nmemory usage: 240.0+ bytes\n"}], "source": "#Reuilly_data.info()"}, {"execution_count": 81, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#lat_r=Reuilly_data['latitude']\n#lat_r"}, {"execution_count": 82, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#lng_r=Reuilly_data['longitude']\n#lng_r"}, {"execution_count": 83, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#neigh_r=Reuilly_data['Neighborhood']\n#neigh_r"}, {"source": "- create map of Reuilly using latitude and longitude values", "cell_type": "markdown", "metadata": {}}, {"execution_count": 84, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# create map of Manhattan using latitude and longitude values\n#map_Reuilly = folium.Map(location=[latitude, longitude], zoom_start=10)\n\n# add markers to map\n#for lat, lng, label in zip(Reuilly_data['latitude'], Reuilly_data['longitude'], Reuilly_data['Neighborhood']):\n    #label = folium.Popup(label, parse_html=True)\n    #folium.CircleMarker(\n     #   [lat, lng],\n      #  radius=5,\n       # popup=label,\n        #color='blue',\n        #fill=True,\n        #fill_color='#3186cc',\n        #fill_opacity=0.7,\n        #parse_html=False).add_to(map_Reuilly)  \n    \n#map_Reuilly\n\n#map_Reuilly.save(\"map_Reuilly.html\")\n\n#open map_Reuilly.html in browser\n#if you cannot generate the maps the map's html on Github\n"}, {"source": "## Foursquare \n\n##### Enter your Foursquare credentials:\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 85, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "My credentails: ***\n"}], "source": "# The code was removed by Watson Studio for sharing."}, {"source": "### Let's explore the first neighborhood in the Reuilly dataframe.\n\n- Get the neighborhood's name.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 86, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Latitude and longitude values of Bel-Air are 48.8528735, 2.3637226000000005.\n"}], "source": "#Reuilly_neighborhood_latitude = Reuilly_data.loc[0, 'latitude'] # neighborhood latitude value\n#Reuilly_neighborhood_longitude = Reuilly_data.loc[0, 'longitude'] # neighborhood longitude value\n#Reuilly_neighborhood_name = Reuilly_data.loc[0, 'Neighborhood'] # neighborhood name\n\n#print('Latitude and longitude values of {} are {}, {}.'.format(Reuilly_neighborhood_name, \n #                                                              Reuilly_neighborhood_latitude, \n  #                                                             Reuilly_neighborhood_longitude))"}, {"source": "### Now, let's get the top 100 venues that are in Bel-Air, within a radius of 500 meters.\n\n- First, let's create the GET request URL. Name your URL url.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 88, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# The code was removed by Watson Studio for sharing."}, {"execution_count": 89, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_results = requests.get(url).json()\n#Reuilly_results"}, {"execution_count": 90, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# function that extracts the category of the venue\n#def get_category_type(row):\n #   try:\n  #      categories_list = row['categories']\n   # except:\n    #    categories_list = row['venue.categories']\n        \n    #if len(categories_list) == 0:\n     #   return None\n    #else:\n     #   return categories_list[0]['name']"}, {"execution_count": 91, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_venues = Reuilly_results['response']['groups'][0]['items']\n"}, {"execution_count": 92, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_nearby_venues = json_normalize(Reuilly_venues) # flatten JSON\n\n"}, {"execution_count": 93, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# filter columns\n#Reuilly_filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n#Reuilly_nearby_venues = Reuilly_nearby_venues.loc[:, Reuilly_filtered_columns]\n\n"}, {"execution_count": 94, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# filter the category for each row\n#Reuilly_nearby_venues['venue.categories'] = Reuilly_nearby_venues.apply(get_category_type, axis=1)\n\n"}, {"execution_count": 95, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# clean columns\n#Reuilly_nearby_venues.columns = [col.split(\".\")[-1] for col in Reuilly_nearby_venues.columns]\n\n"}, {"execution_count": 96, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 96, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>name</th>\n      <th>categories</th>\n      <th>lat</th>\n      <th>lng</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Homies</td>\n      <td>Tapas Restaurant</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Le Temps des Cerises</td>\n      <td>French Restaurant</td>\n      <td>48.852554</td>\n      <td>2.364195</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Sherry Butt</td>\n      <td>Cocktail Bar</td>\n      <td>48.853267</td>\n      <td>2.364114</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Keep Cool</td>\n      <td>Gym</td>\n      <td>48.852085</td>\n      <td>2.363371</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>La Cerise sur la Pizza</td>\n      <td>Pizza Place</td>\n      <td>48.854037</td>\n      <td>2.362343</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "                     name         categories        lat       lng\n0                  Homies   Tapas Restaurant  48.853542  2.364448\n1    Le Temps des Cerises  French Restaurant  48.852554  2.364195\n2             Sherry Butt       Cocktail Bar  48.853267  2.364114\n3               Keep Cool                Gym  48.852085  2.363371\n4  La Cerise sur la Pizza        Pizza Place  48.854037  2.362343"}, "output_type": "execute_result"}], "source": "#Reuilly_nearby_venues.head()"}, {"execution_count": 97, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 100 entries, 0 to 99\nData columns (total 4 columns):\nname          100 non-null object\ncategories    100 non-null object\nlat           100 non-null float64\nlng           100 non-null float64\ndtypes: float64(2), object(2)\nmemory usage: 3.2+ KB\n"}], "source": "#Reuilly_nearby_venues.info()"}, {"execution_count": 98, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_nearby_venues.to_csv('Reuilly_nearby_venues.csv')"}, {"execution_count": 99, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "100 venues were returned by Foursquare.\n"}], "source": "#print('{} venues were returned by Foursquare.'.format(Reuilly_nearby_venues.shape[0]))"}, {"source": "### The bucket was filled with request\n\n- as we set the limit to 100 and asked for venues within a 500m radius of the geo-coordinates.\n\n- we will cap number of venues at 100 for the our Tailor Made Liveability Index, (TM_Liveability)\n", "cell_type": "markdown", "metadata": {}}, {"source": "## Explore Neighborhoods in Reuilly:\n\n- Let's create a function to repeat the same process to all the neighborhoods in Reuilly", "cell_type": "markdown", "metadata": {}}, {"execution_count": 100, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#def getNearbyVenues(names, latitudes, longitudes, radius=500):\n    \n    #venues_list=[]\n    \n    #for name, lat, lng in zip(names, latitudes, longitudes):\n        #print(name)\n            \n        ## create the API request URL\n        #url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n            #CLIENT_ID, \n            #CLIENT_SECRET, \n            #VERSION, \n            #lat, \n            #lng, \n            #radius, \n            #LIMIT)\n            \n        # make the GET request\n        #results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n        \n        # return only relevant information for each nearby venue\n        #venues_list.append([(\n         #   name, \n          #  lat, \n           # lng, \n            #v['venue']['name'], \n            #v['venue']['location']['lat'], \n            #v['venue']['location']['lng'],  \n            #v['venue']['categories'][0]['name']) for v in results])\n\n    #nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n    #nearby_venues.columns = ['Neighbourhood', \n     #             'Neighbourhood Latitude', \n      #            'Neighbourhood Longitude', \n       #           'Venue', \n        #          'Venue Latitude', \n         #         'Venue Longitude', \n          #        'Venue Category']\n    \n    #return(nearby_venues)"}, {"execution_count": 101, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_results = requests.get(url).json()\n#Reuilly_results"}, {"execution_count": 102, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 102, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>name</th>\n      <th>categories</th>\n      <th>lat</th>\n      <th>lng</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Homies</td>\n      <td>Tapas Restaurant</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Le Temps des Cerises</td>\n      <td>French Restaurant</td>\n      <td>48.852554</td>\n      <td>2.364195</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Sherry Butt</td>\n      <td>Cocktail Bar</td>\n      <td>48.853267</td>\n      <td>2.364114</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Keep Cool</td>\n      <td>Gym</td>\n      <td>48.852085</td>\n      <td>2.363371</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>La Cerise sur la Pizza</td>\n      <td>Pizza Place</td>\n      <td>48.854037</td>\n      <td>2.362343</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "                     name         categories        lat       lng\n0                  Homies   Tapas Restaurant  48.853542  2.364448\n1    Le Temps des Cerises  French Restaurant  48.852554  2.364195\n2             Sherry Butt       Cocktail Bar  48.853267  2.364114\n3               Keep Cool                Gym  48.852085  2.363371\n4  La Cerise sur la Pizza        Pizza Place  48.854037  2.362343"}, "output_type": "execute_result"}], "source": "#Reuilly_nearby_venues.head()"}, {"source": "\n- use get_category_type function, to find the information in the items key", "cell_type": "markdown", "metadata": {}}, {"execution_count": 103, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Homies\nLe Temps des Cerises\nSherry Butt\nKeep Cool\nLa Cerise sur la Pizza\nGarde R\u00e9publicaine\nMaria Loca\nVins des Pyr\u00e9n\u00e9es\nLe Chanard\nVillage Saint-Paul\nCaf\u00e9 Ginger\nLe Dindon en Laisse\nBoulangerie Saint-Antoine\nPasta Linea\nPavillon de l'Arsenal\nChez Margot\nAu Bouquet Saint Paul\nPlace du March\u00e9 Sainte-Catherine\nJardin de Sully\nLa Moustache Blanche\nMiss Manon\nL'Ambroisie\nPlace des Vosges\nLes Nautes\nHOTEL DE JOBO\nGaspard de la Nuit\nSushi Shop\nH\u00f4tel de B\u00e9thune-Sully\nThai Spices\nL'Enoteca\nChez Mademoiselle\nLa Mangerie\nSavannah Coffee\nComptoir des Mers\nBubar\nFrog Revolution\nDammann Fr\u00e8res\nMaison de Victor Hugo\nCasa San Pablo\nAmorino\nGrand H\u00f4tel Malher\nL'Area Caf\u00e9\nBrasserie Bofinger\nYellow Tucan\nGalerie Nikki Diana Marquardt\nFromagerie Laurent Dubois\nCarette\nMaison Europ\u00e9enne de la Photographie\nLa Cidrerie du Marais\nJardin de l'H\u00f4tel de Sens\nLe Rusti\nH\u00f4tel Original Paris\nAu Petit Thai\nH\u00f4tel Pavillon de la Reine\nPlace de la Bastille\nL'Ardoise 86\nPedra Alta\nPlace Saint-Paul\nLen\u00f4tre\nSquare Barye\nYellowKorner\nKhao Thai\nMonoprix\nH\u00f4tel Turenne Le Marais\nChocolaterie Jos\u00e9phine Vannier\nPitzman\nPopelini\nCOS\nMetropolitain\nBistrot de l'Oulette\nL'\u00c9clair de G\u00e9nie\nRivolux\nChez Janou\nLa Mouette Rieuse\nOp\u00e9ra Bastille\nBreakfast in America\nVingt Vins d'Art\nLECLAIREUR S\u00e9vign\u00e9\nLe Loir dans la Th\u00e9i\u00e8re\nBan Sabai\nLes Bonnes S\u0153urs\nJardins du Port de l'Arsenal\nLe Piment\nThe Brooklyn Pizzeria\nH\u00f4tel des Archev\u00eaques de Sens\nChez Papa\nAcqua di Parma\nBistrot des Vosges\nPaul\nLe Moulin de Rosa\nL'El\u00e9phant du Nil\nadidas Originals\nCaf\u00e9 Hugo\nL\u00e9on de Bruxelles\nCaf\u00e9 de la Presse\nLa Carte des Vins\nPetit Pan\nMaison Georges Larnicol\nL'Orangerie\nDiptyque\n"}], "source": "\n#Reuilly_venues = getNearbyVenues(names=Reuilly_nearby_venues['name'],\n #                                  latitudes=Reuilly_nearby_venues['lat'],\n  #                                 longitudes=Reuilly_nearby_venues['lng']\n   #                               )\n\n"}, {"execution_count": 104, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 104, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Latitude</th>\n      <th>Venue Longitude</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Tapas Restaurant</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Le Temps des Cerises</td>\n      <td>48.852554</td>\n      <td>2.364195</td>\n      <td>French Restaurant</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Sherry Butt</td>\n      <td>48.853267</td>\n      <td>2.364114</td>\n      <td>Cocktail Bar</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Pasta Linea</td>\n      <td>48.855250</td>\n      <td>2.363416</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Keep Cool</td>\n      <td>48.852085</td>\n      <td>2.363371</td>\n      <td>Gym</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "  Neighbourhood  Neighbourhood Latitude  Neighbourhood Longitude  \\\n0        Homies               48.853542                 2.364448   \n1        Homies               48.853542                 2.364448   \n2        Homies               48.853542                 2.364448   \n3        Homies               48.853542                 2.364448   \n4        Homies               48.853542                 2.364448   \n\n                  Venue  Venue Latitude  Venue Longitude      Venue Category  \n0                Homies       48.853542         2.364448    Tapas Restaurant  \n1  Le Temps des Cerises       48.852554         2.364195   French Restaurant  \n2           Sherry Butt       48.853267         2.364114        Cocktail Bar  \n3           Pasta Linea       48.855250         2.363416  Italian Restaurant  \n4             Keep Cool       48.852085         2.363371                 Gym  "}, "output_type": "execute_result"}], "source": "#Reuilly_venues.head()"}, {"execution_count": 105, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 105, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Latitude</th>\n      <th>Venue Longitude</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>9732</th>\n      <td>Diptyque</td>\n      <td>48.856698</td>\n      <td>2.363634</td>\n      <td>La Droguerie du Marais</td>\n      <td>48.857838</td>\n      <td>2.358055</td>\n      <td>French Restaurant</td>\n    </tr>\n    <tr>\n      <th>9733</th>\n      <td>Diptyque</td>\n      <td>48.856698</td>\n      <td>2.363634</td>\n      <td>Jimmy Fairly | Marais</td>\n      <td>48.859132</td>\n      <td>2.359476</td>\n      <td>Optical Shop</td>\n    </tr>\n    <tr>\n      <th>9734</th>\n      <td>Diptyque</td>\n      <td>48.856698</td>\n      <td>2.363634</td>\n      <td>H\u00f4tel Original Paris</td>\n      <td>48.854696</td>\n      <td>2.368841</td>\n      <td>Hotel</td>\n    </tr>\n    <tr>\n      <th>9735</th>\n      <td>Diptyque</td>\n      <td>48.856698</td>\n      <td>2.363634</td>\n      <td>Square Saint-Gilles Grand Veneur - Pauline-Roland</td>\n      <td>48.859131</td>\n      <td>2.365432</td>\n      <td>Park</td>\n    </tr>\n    <tr>\n      <th>9736</th>\n      <td>Diptyque</td>\n      <td>48.856698</td>\n      <td>2.363634</td>\n      <td>La Maison Plisson</td>\n      <td>48.859599</td>\n      <td>2.367269</td>\n      <td>Deli / Bodega</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "     Neighbourhood  Neighbourhood Latitude  Neighbourhood Longitude  \\\n9732      Diptyque               48.856698                 2.363634   \n9733      Diptyque               48.856698                 2.363634   \n9734      Diptyque               48.856698                 2.363634   \n9735      Diptyque               48.856698                 2.363634   \n9736      Diptyque               48.856698                 2.363634   \n\n                                                  Venue  Venue Latitude  \\\n9732                             La Droguerie du Marais       48.857838   \n9733                              Jimmy Fairly | Marais       48.859132   \n9734                               H\u00f4tel Original Paris       48.854696   \n9735  Square Saint-Gilles Grand Veneur - Pauline-Roland       48.859131   \n9736                                  La Maison Plisson       48.859599   \n\n      Venue Longitude     Venue Category  \n9732         2.358055  French Restaurant  \n9733         2.359476       Optical Shop  \n9734         2.368841              Hotel  \n9735         2.365432               Park  \n9736         2.367269      Deli / Bodega  "}, "output_type": "execute_result"}], "source": "#Reuilly_venues.tail()"}, {"execution_count": 106, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_venues.to_csv('Reuilly_venues.csv')"}, {"execution_count": 107, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 9737 entries, 0 to 9736\nData columns (total 7 columns):\nNeighbourhood              9737 non-null object\nNeighbourhood Latitude     9737 non-null float64\nNeighbourhood Longitude    9737 non-null float64\nVenue                      9737 non-null object\nVenue Latitude             9737 non-null float64\nVenue Longitude            9737 non-null float64\nVenue Category             9737 non-null object\ndtypes: float64(4), object(3)\nmemory usage: 532.6+ KB\n"}], "source": "#Reuilly_venues.info()"}, {"source": "- Let's see how many venues were returned for each neighborhood", "cell_type": "markdown", "metadata": {}}, {"execution_count": 4, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_venues.groupby('Neighbourhood').count()"}, {"execution_count": 221, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "9737 venues were returned by Foursquare.\n"}], "source": "#print('{} venues were returned by Foursquare.'.format(Reuilly_venues.shape[0]))"}, {"source": "- Now let's see how many types of venues there are in Reuilly", "cell_type": "markdown", "metadata": {}}, {"execution_count": 108, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "There are 111 uniques categories.\n"}], "source": "#print('There are {} uniques categories.'.format(len(Reuilly_venues['Venue Category'].unique())))\n"}, {"source": "## Now let's use one hot coding to analyse each of the neighbourhoods in Reuilly, Paris:\n- the data generated here is necessary for next week's assignment.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 109, "cell_type": "code", "metadata": {}, "outputs": [], "source": "\n# one hot encoding\n#Reuilly_onehot = pd.get_dummies(Reuilly_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n"}, {"execution_count": 110, "cell_type": "code", "metadata": {}, "outputs": [], "source": "\n# add neighborhood column back to dataframe\n#Reuilly_onehot['Neighbourhood'] = Reuilly_venues['Neighbourhood'] \n\n"}, {"execution_count": 111, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# move neighborhood column to the first column\n#Reuilly_fixed_columns = [Reuilly_onehot.columns[-1]] + list(Reuilly_onehot.columns[:-1])\n#Reuilly_onehot = Reuilly_onehot[Reuilly_fixed_columns]\n\n"}, {"execution_count": 118, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_onehot.head()\n"}, {"execution_count": 112, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 112, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>African Restaurant</th>\n      <th>Argentinian Restaurant</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Athletics &amp; Sports</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bar</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Bistro</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Brasserie</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Bridge</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burgundian Restaurant</th>\n      <th>Caf\u00e9</th>\n      <th>Cajun / Creole Restaurant</th>\n      <th>Camera Store</th>\n      <th>Canal Lock</th>\n      <th>Candy Store</th>\n      <th>Cheese Shop</th>\n      <th>Chocolate Shop</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>Cosmetics Shop</th>\n      <th>Creperie</th>\n      <th>Cultural Center</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Egyptian Restaurant</th>\n      <th>Falafel Restaurant</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>French Restaurant</th>\n      <th>Furniture / Home Store</th>\n      <th>Garden</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>Gourmet Shop</th>\n      <th>Government Building</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>Hostel</th>\n      <th>Hot Dog Joint</th>\n      <th>Hotel</th>\n      <th>Ice Cream Shop</th>\n      <th>Israeli Restaurant</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jewish Restaurant</th>\n      <th>Juice Bar</th>\n      <th>Kids Store</th>\n      <th>Korean Restaurant</th>\n      <th>Library</th>\n      <th>Lingerie Store</th>\n      <th>Lounge</th>\n      <th>Lyonese Bouchon</th>\n      <th>Market</th>\n      <th>Memorial Site</th>\n      <th>Men's Store</th>\n      <th>Metro Station</th>\n      <th>Miscellaneous Shop</th>\n      <th>Moroccan Restaurant</th>\n      <th>Museum</th>\n      <th>Music Venue</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Park</th>\n      <th>Pastry Shop</th>\n      <th>Pedestrian Plaza</th>\n      <th>Pizza Place</th>\n      <th>Plaza</th>\n      <th>Portuguese Restaurant</th>\n      <th>Proven\u00e7al Restaurant</th>\n      <th>Pub</th>\n      <th>Record Shop</th>\n      <th>Restaurant</th>\n      <th>Salon / Barbershop</th>\n      <th>Scandinavian Restaurant</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Southwestern French Restaurant</th>\n      <th>Spa</th>\n      <th>Sporting Goods Shop</th>\n      <th>Steakhouse</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Szechuan Restaurant</th>\n      <th>Tapas Restaurant</th>\n      <th>Tea Room</th>\n      <th>Thai Restaurant</th>\n      <th>Trail</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Waterfront</th>\n      <th>Wine Bar</th>\n      <th>Wine Shop</th>\n      <th>Zoo Exhibit</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>9727</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9728</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9729</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9730</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9731</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9732</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9733</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9734</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9735</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9736</th>\n      <td>Diptyque</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "     Neighbourhood  African Restaurant  Argentinian Restaurant  Art Gallery  \\\n9727      Diptyque                   0                       0            0   \n9728      Diptyque                   0                       0            0   \n9729      Diptyque                   0                       0            0   \n9730      Diptyque                   0                       0            0   \n9731      Diptyque                   0                       0            0   \n9732      Diptyque                   0                       0            0   \n9733      Diptyque                   0                       0            0   \n9734      Diptyque                   0                       0            0   \n9735      Diptyque                   0                       0            0   \n9736      Diptyque                   0                       0            0   \n\n      Art Museum  Arts & Crafts Store  Asian Restaurant  Athletics & Sports  \\\n9727           0                    0                 0                   0   \n9728           0                    0                 0                   0   \n9729           0                    0                 0                   0   \n9730           0                    0                 0                   0   \n9731           0                    0                 0                   0   \n9732           0                    0                 0                   0   \n9733           0                    0                 0                   0   \n9734           0                    0                 0                   0   \n9735           0                    0                 0                   0   \n9736           0                    0                 0                   0   \n\n      Bagel Shop  Bakery  Bar  Beer Bar  Beer Store  Bistro  Boat or Ferry  \\\n9727           0       1    0         0           0       0              0   \n9728           0       0    0         0           0       0              0   \n9729           0       0    0         0           0       1              0   \n9730           0       0    0         0           0       0              0   \n9731           0       0    0         0           0       0              0   \n9732           0       0    0         0           0       0              0   \n9733           0       0    0         0           0       0              0   \n9734           0       0    0         0           0       0              0   \n9735           0       0    0         0           0       0              0   \n9736           0       0    0         0           0       0              0   \n\n      Bookstore  Brasserie  Brazilian Restaurant  Breakfast Spot  Bridge  \\\n9727          0          0                     0               0       0   \n9728          0          0                     0               0       0   \n9729          0          0                     0               0       0   \n9730          0          0                     0               0       0   \n9731          0          0                     0               0       0   \n9732          0          0                     0               0       0   \n9733          0          0                     0               0       0   \n9734          0          0                     0               0       0   \n9735          0          0                     0               0       0   \n9736          0          0                     0               0       0   \n\n      Bubble Tea Shop  Burger Joint  Burgundian Restaurant  Caf\u00e9  \\\n9727                0             0                      0     0   \n9728                0             0                      0     0   \n9729                0             0                      0     0   \n9730                0             0                      0     0   \n9731                0             0                      0     0   \n9732                0             0                      0     0   \n9733                0             0                      0     0   \n9734                0             0                      0     0   \n9735                0             0                      0     0   \n9736                0             0                      0     0   \n\n      Cajun / Creole Restaurant  Camera Store  Canal Lock  Candy Store  \\\n9727                          0             0           0            0   \n9728                          0             0           0            0   \n9729                          0             0           0            0   \n9730                          0             0           0            0   \n9731                          0             0           0            0   \n9732                          0             0           0            0   \n9733                          0             0           0            0   \n9734                          0             0           0            0   \n9735                          0             0           0            0   \n9736                          0             0           0            0   \n\n      Cheese Shop  Chocolate Shop  Clothing Store  Cocktail Bar  Coffee Shop  \\\n9727            0               0               0             0            0   \n9728            0               0               1             0            0   \n9729            0               0               0             0            0   \n9730            0               0               0             0            0   \n9731            0               0               0             0            0   \n9732            0               0               0             0            0   \n9733            0               0               0             0            0   \n9734            0               0               0             0            0   \n9735            0               0               0             0            0   \n9736            0               0               0             0            0   \n\n      Cosmetics Shop  Creperie  Cultural Center  Dance Studio  Deli / Bodega  \\\n9727               0         0                0             0              0   \n9728               0         0                0             0              0   \n9729               0         0                0             0              0   \n9730               0         0                0             0              0   \n9731               0         0                0             0              0   \n9732               0         0                0             0              0   \n9733               0         0                0             0              0   \n9734               0         0                0             0              0   \n9735               0         0                0             0              0   \n9736               0         0                0             0              1   \n\n      Department Store  Dessert Shop  Diner  Egyptian Restaurant  \\\n9727                 0             0      0                    0   \n9728                 0             0      0                    0   \n9729                 0             0      0                    0   \n9730                 0             0      0                    0   \n9731                 0             0      0                    0   \n9732                 0             0      0                    0   \n9733                 0             0      0                    0   \n9734                 0             0      0                    0   \n9735                 0             0      0                    0   \n9736                 0             0      0                    0   \n\n      Falafel Restaurant  Food & Drink Shop  French Restaurant  \\\n9727                   0                  0                  0   \n9728                   0                  0                  0   \n9729                   0                  0                  0   \n9730                   0                  0                  0   \n9731                   0                  0                  0   \n9732                   0                  0                  1   \n9733                   0                  0                  0   \n9734                   0                  0                  0   \n9735                   0                  0                  0   \n9736                   0                  0                  0   \n\n      Furniture / Home Store  Garden  Gastropub  Gay Bar  Gourmet Shop  \\\n9727                       0       0          0        0             0   \n9728                       0       0          0        0             0   \n9729                       0       0          0        0             0   \n9730                       0       0          0        0             0   \n9731                       0       0          0        0             0   \n9732                       0       0          0        0             0   \n9733                       0       0          0        0             0   \n9734                       0       0          0        0             0   \n9735                       0       0          0        0             0   \n9736                       0       0          0        0             0   \n\n      Government Building  Gym  Gym / Fitness Center  Harbor / Marina  \\\n9727                    0    0                     0                0   \n9728                    0    0                     0                0   \n9729                    0    0                     0                0   \n9730                    0    0                     0                0   \n9731                    0    0                     0                0   \n9732                    0    0                     0                0   \n9733                    0    0                     0                0   \n9734                    0    0                     0                0   \n9735                    0    0                     0                0   \n9736                    0    0                     0                0   \n\n      Health Food Store  Historic Site  Hostel  Hot Dog Joint  Hotel  \\\n9727                  0              0       0              0      0   \n9728                  0              0       0              0      0   \n9729                  0              0       0              0      0   \n9730                  0              0       0              0      0   \n9731                  0              0       0              0      0   \n9732                  0              0       0              0      0   \n9733                  0              0       0              0      0   \n9734                  0              0       0              0      1   \n9735                  0              0       0              0      0   \n9736                  0              0       0              0      0   \n\n      Ice Cream Shop  Israeli Restaurant  Italian Restaurant  \\\n9727               0                   0                   0   \n9728               0                   0                   0   \n9729               0                   0                   0   \n9730               0                   0                   0   \n9731               0                   0                   0   \n9732               0                   0                   0   \n9733               0                   0                   0   \n9734               0                   0                   0   \n9735               0                   0                   0   \n9736               0                   0                   0   \n\n      Japanese Restaurant  Jewish Restaurant  Juice Bar  Kids Store  \\\n9727                    0                  0          0           0   \n9728                    0                  0          0           0   \n9729                    0                  0          0           0   \n9730                    0                  0          0           0   \n9731                    0                  0          0           0   \n9732                    0                  0          0           0   \n9733                    0                  0          0           0   \n9734                    0                  0          0           0   \n9735                    0                  0          0           0   \n9736                    0                  0          0           0   \n\n      Korean Restaurant  Library  Lingerie Store  Lounge  Lyonese Bouchon  \\\n9727                  0        0               0       0                0   \n9728                  0        0               0       0                0   \n9729                  0        0               0       0                0   \n9730                  0        0               0       0                0   \n9731                  0        0               0       0                0   \n9732                  0        0               0       0                0   \n9733                  0        0               0       0                0   \n9734                  0        0               0       0                0   \n9735                  0        0               0       0                0   \n9736                  0        0               0       0                0   \n\n      Market  Memorial Site  Men's Store  Metro Station  Miscellaneous Shop  \\\n9727       0              0            0              0                   0   \n9728       0              0            0              0                   0   \n9729       0              0            0              0                   0   \n9730       0              0            0              0                   0   \n9731       0              0            0              0                   0   \n9732       0              0            0              0                   0   \n9733       0              0            0              0                   0   \n9734       0              0            0              0                   0   \n9735       0              0            0              0                   0   \n9736       0              0            0              0                   0   \n\n      Moroccan Restaurant  Museum  Music Venue  Opera House  Optical Shop  \\\n9727                    0       0            0            0             0   \n9728                    0       0            0            0             0   \n9729                    0       0            0            0             0   \n9730                    0       0            0            0             0   \n9731                    0       0            0            0             0   \n9732                    0       0            0            0             0   \n9733                    0       0            0            0             1   \n9734                    0       0            0            0             0   \n9735                    0       0            0            0             0   \n9736                    0       0            0            0             0   \n\n      Organic Grocery  Park  Pastry Shop  Pedestrian Plaza  Pizza Place  \\\n9727                0     0            0                 0            0   \n9728                0     0            0                 0            0   \n9729                0     0            0                 0            0   \n9730                0     0            0                 1            0   \n9731                0     0            0                 0            1   \n9732                0     0            0                 0            0   \n9733                0     0            0                 0            0   \n9734                0     0            0                 0            0   \n9735                0     1            0                 0            0   \n9736                0     0            0                 0            0   \n\n      Plaza  Portuguese Restaurant  Proven\u00e7al Restaurant  Pub  Record Shop  \\\n9727      0                      0                     0    0            0   \n9728      0                      0                     0    0            0   \n9729      0                      0                     0    0            0   \n9730      0                      0                     0    0            0   \n9731      0                      0                     0    0            0   \n9732      0                      0                     0    0            0   \n9733      0                      0                     0    0            0   \n9734      0                      0                     0    0            0   \n9735      0                      0                     0    0            0   \n9736      0                      0                     0    0            0   \n\n      Restaurant  Salon / Barbershop  Scandinavian Restaurant  \\\n9727           0                   0                        0   \n9728           0                   0                        0   \n9729           0                   0                        0   \n9730           0                   0                        0   \n9731           0                   0                        0   \n9732           0                   0                        0   \n9733           0                   0                        0   \n9734           0                   0                        0   \n9735           0                   0                        0   \n9736           0                   0                        0   \n\n      Seafood Restaurant  Shoe Store  Southwestern French Restaurant  Spa  \\\n9727                   0           0                               0    0   \n9728                   0           0                               0    0   \n9729                   0           0                               0    0   \n9730                   0           0                               0    0   \n9731                   0           0                               0    0   \n9732                   0           0                               0    0   \n9733                   0           0                               0    0   \n9734                   0           0                               0    0   \n9735                   0           0                               0    0   \n9736                   0           0                               0    0   \n\n      Sporting Goods Shop  Steakhouse  Supermarket  Sushi Restaurant  \\\n9727                    0           0            0                 0   \n9728                    0           0            0                 0   \n9729                    0           0            0                 0   \n9730                    0           0            0                 0   \n9731                    0           0            0                 0   \n9732                    0           0            0                 0   \n9733                    0           0            0                 0   \n9734                    0           0            0                 0   \n9735                    0           0            0                 0   \n9736                    0           0            0                 0   \n\n      Szechuan Restaurant  Tapas Restaurant  Tea Room  Thai Restaurant  Trail  \\\n9727                    0                 0         0                0      0   \n9728                    0                 0         0                0      0   \n9729                    0                 0         0                0      0   \n9730                    0                 0         0                0      0   \n9731                    0                 0         0                0      0   \n9732                    0                 0         0                0      0   \n9733                    0                 0         0                0      0   \n9734                    0                 0         0                0      0   \n9735                    0                 0         0                0      0   \n9736                    0                 0         0                0      0   \n\n      Vegetarian / Vegan Restaurant  Waterfront  Wine Bar  Wine Shop  \\\n9727                              0           0         0          0   \n9728                              0           0         0          0   \n9729                              0           0         0          0   \n9730                              0           0         0          0   \n9731                              0           0         0          0   \n9732                              0           0         0          0   \n9733                              0           0         0          0   \n9734                              0           0         0          0   \n9735                              0           0         0          0   \n9736                              0           0         0          0   \n\n      Zoo Exhibit  \n9727            0  \n9728            0  \n9729            0  \n9730            0  \n9731            0  \n9732            0  \n9733            0  \n9734            0  \n9735            0  \n9736            0  "}, "output_type": "execute_result"}], "source": "#Reuilly_onehot.tail(10)"}, {"execution_count": 113, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_onehot.to_csv('Reuilly_onehot.csv')"}, {"execution_count": 114, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 9737 entries, 0 to 9736\nColumns: 112 entries, Neighbourhood to Zoo Exhibit\ndtypes: object(1), uint8(111)\nmemory usage: 1.1+ MB\n"}], "source": "#Reuilly_onehot.info()"}, {"source": "- Let's group by neighbourhoods", "cell_type": "markdown", "metadata": {}}, {"execution_count": 115, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 115, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>African Restaurant</th>\n      <th>Argentinian Restaurant</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Athletics &amp; Sports</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bar</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Bistro</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Brasserie</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Bridge</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burgundian Restaurant</th>\n      <th>Caf\u00e9</th>\n      <th>Cajun / Creole Restaurant</th>\n      <th>Camera Store</th>\n      <th>Canal Lock</th>\n      <th>Candy Store</th>\n      <th>Cheese Shop</th>\n      <th>Chocolate Shop</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>Cosmetics Shop</th>\n      <th>Creperie</th>\n      <th>Cultural Center</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Egyptian Restaurant</th>\n      <th>Falafel Restaurant</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>French Restaurant</th>\n      <th>Furniture / Home Store</th>\n      <th>Garden</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>Gourmet Shop</th>\n      <th>Government Building</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>Hostel</th>\n      <th>Hot Dog Joint</th>\n      <th>Hotel</th>\n      <th>Ice Cream Shop</th>\n      <th>Israeli Restaurant</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jewish Restaurant</th>\n      <th>Juice Bar</th>\n      <th>Kids Store</th>\n      <th>Korean Restaurant</th>\n      <th>Library</th>\n      <th>Lingerie Store</th>\n      <th>Lounge</th>\n      <th>Lyonese Bouchon</th>\n      <th>Market</th>\n      <th>Memorial Site</th>\n      <th>Men's Store</th>\n      <th>Metro Station</th>\n      <th>Miscellaneous Shop</th>\n      <th>Moroccan Restaurant</th>\n      <th>Museum</th>\n      <th>Music Venue</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Park</th>\n      <th>Pastry Shop</th>\n      <th>Pedestrian Plaza</th>\n      <th>Pizza Place</th>\n      <th>Plaza</th>\n      <th>Portuguese Restaurant</th>\n      <th>Proven\u00e7al Restaurant</th>\n      <th>Pub</th>\n      <th>Record Shop</th>\n      <th>Restaurant</th>\n      <th>Salon / Barbershop</th>\n      <th>Scandinavian Restaurant</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Southwestern French Restaurant</th>\n      <th>Spa</th>\n      <th>Sporting Goods Shop</th>\n      <th>Steakhouse</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Szechuan Restaurant</th>\n      <th>Tapas Restaurant</th>\n      <th>Tea Room</th>\n      <th>Thai Restaurant</th>\n      <th>Trail</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Waterfront</th>\n      <th>Wine Bar</th>\n      <th>Wine Shop</th>\n      <th>Zoo Exhibit</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Acqua di Parma</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.03</td>\n      <td>0.03</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.04</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.04</td>\n      <td>0.01</td>\n      <td>0.04</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.10</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.06</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.03</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.04</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Amorino</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.04</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.04</td>\n      <td>0.01</td>\n      <td>0.04</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.12</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.06</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.03</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.04</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Au Bouquet Saint Paul</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.03</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.04</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.03</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.17</td>\n      <td>0.0</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.05</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Au Petit Thai</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.03</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.04</td>\n      <td>0.02</td>\n      <td>0.04</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.12</td>\n      <td>0.0</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.04</td>\n      <td>0.03</td>\n      <td>0.01</td>\n      <td>0.04</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Ban Sabai</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.03</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.03</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.15</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.07</td>\n      <td>0.02</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.04</td>\n      <td>0.03</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.03</td>\n      <td>0.02</td>\n      <td>0.02</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "           Neighbourhood  African Restaurant  Argentinian Restaurant  \\\n0         Acqua di Parma                0.01                     0.0   \n1                Amorino                0.01                     0.0   \n2  Au Bouquet Saint Paul                0.00                     0.0   \n3          Au Petit Thai                0.01                     0.0   \n4              Ban Sabai                0.00                     0.0   \n\n   Art Gallery  Art Museum  Arts & Crafts Store  Asian Restaurant  \\\n0         0.03        0.03                  0.0              0.01   \n1         0.03        0.02                  0.0              0.01   \n2         0.03        0.01                  0.0              0.01   \n3         0.03        0.01                  0.0              0.01   \n4         0.02        0.00                  0.0              0.01   \n\n   Athletics & Sports  Bagel Shop  Bakery   Bar  Beer Bar  Beer Store  Bistro  \\\n0                 0.0        0.00    0.04  0.02      0.01        0.01    0.02   \n1                 0.0        0.00    0.04  0.02      0.01        0.01    0.01   \n2                 0.0        0.00    0.04  0.02      0.00        0.01    0.01   \n3                 0.0        0.00    0.03  0.02      0.00        0.00    0.01   \n4                 0.0        0.01    0.03  0.03      0.00        0.01    0.02   \n\n   Boat or Ferry  Bookstore  Brasserie  Brazilian Restaurant  Breakfast Spot  \\\n0            0.0       0.01        0.0                  0.00             0.0   \n1            0.0       0.02        0.0                  0.01             0.0   \n2            0.0       0.01        0.0                  0.01             0.0   \n3            0.0       0.02        0.0                  0.00             0.0   \n4            0.0       0.01        0.0                  0.00             0.0   \n\n   Bridge  Bubble Tea Shop  Burger Joint  Burgundian Restaurant  Caf\u00e9  \\\n0     0.0              0.0          0.01                   0.00  0.01   \n1     0.0              0.0          0.01                   0.00  0.01   \n2     0.0              0.0          0.01                   0.01  0.00   \n3     0.0              0.0          0.01                   0.01  0.01   \n4     0.0              0.0          0.01                   0.00  0.02   \n\n   Cajun / Creole Restaurant  Camera Store  Canal Lock  Candy Store  \\\n0                        0.0           0.0         0.0          0.0   \n1                        0.0           0.0         0.0          0.0   \n2                        0.0           0.0         0.0          0.0   \n3                        0.0           0.0         0.0          0.0   \n4                        0.0           0.0         0.0          0.0   \n\n   Cheese Shop  Chocolate Shop  Clothing Store  Cocktail Bar  Coffee Shop  \\\n0         0.01            0.01            0.04          0.01         0.04   \n1         0.01            0.01            0.04          0.01         0.04   \n2         0.01            0.01            0.03          0.02         0.03   \n3         0.01            0.00            0.04          0.02         0.04   \n4         0.01            0.02            0.01          0.03         0.03   \n\n   Cosmetics Shop  Creperie  Cultural Center  Dance Studio  Deli / Bodega  \\\n0            0.02      0.01             0.01           0.0           0.01   \n1            0.01      0.00             0.01           0.0           0.01   \n2            0.01      0.01             0.01           0.0           0.01   \n3            0.00      0.02             0.02           0.0           0.01   \n4            0.00      0.00             0.00           0.0           0.00   \n\n   Department Store  Dessert Shop  Diner  Egyptian Restaurant  \\\n0               0.0          0.00   0.01                  0.0   \n1               0.0          0.00   0.01                  0.0   \n2               0.0          0.00   0.01                  0.0   \n3               0.0          0.01   0.01                  0.0   \n4               0.0          0.00   0.00                  0.0   \n\n   Falafel Restaurant  Food & Drink Shop  French Restaurant  \\\n0                0.02                0.0               0.10   \n1                0.02                0.0               0.12   \n2                0.02                0.0               0.17   \n3                0.02                0.0               0.12   \n4                0.01                0.0               0.15   \n\n   Furniture / Home Store  Garden  Gastropub  Gay Bar  Gourmet Shop  \\\n0                     0.0    0.02       0.02      0.0          0.01   \n1                     0.0    0.02       0.02      0.0          0.00   \n2                     0.0    0.03       0.02      0.0          0.00   \n3                     0.0    0.03       0.02      0.0          0.01   \n4                     0.0    0.01       0.02      0.0          0.01   \n\n   Government Building   Gym  Gym / Fitness Center  Harbor / Marina  \\\n0                 0.00  0.00                  0.00              0.0   \n1                 0.00  0.00                  0.00              0.0   \n2                 0.01  0.01                  0.00              0.0   \n3                 0.00  0.00                  0.00              0.0   \n4                 0.01  0.01                  0.01              0.0   \n\n   Health Food Store  Historic Site  Hostel  Hot Dog Joint  Hotel  \\\n0               0.01           0.02     0.0            0.0   0.06   \n1               0.01           0.02     0.0            0.0   0.06   \n2               0.00           0.02     0.0            0.0   0.05   \n3               0.00           0.01     0.0            0.0   0.04   \n4               0.00           0.02     0.0            0.0   0.07   \n\n   Ice Cream Shop  Israeli Restaurant  Italian Restaurant  \\\n0            0.01                0.01                0.03   \n1            0.01                0.01                0.03   \n2            0.01                0.01                0.03   \n3            0.03                0.01                0.04   \n4            0.02                0.00                0.03   \n\n   Japanese Restaurant  Jewish Restaurant  Juice Bar  Kids Store  \\\n0                 0.02               0.00        0.0        0.00   \n1                 0.02               0.00        0.0        0.00   \n2                 0.00               0.00        0.0        0.00   \n3                 0.00               0.02        0.0        0.01   \n4                 0.01               0.00        0.0        0.00   \n\n   Korean Restaurant  Library  Lingerie Store  Lounge  Lyonese Bouchon  \\\n0               0.01     0.01             0.0     0.0              0.0   \n1               0.01     0.01             0.0     0.0              0.0   \n2               0.00     0.00             0.0     0.0              0.0   \n3               0.00     0.00             0.0     0.0              0.0   \n4               0.00     0.00             0.0     0.0              0.0   \n\n   Market  Memorial Site  Men's Store  Metro Station  Miscellaneous Shop  \\\n0    0.00           0.00         0.01            0.0                0.00   \n1    0.00           0.00         0.01            0.0                0.00   \n2    0.00           0.00         0.01            0.0                0.00   \n3    0.00           0.01         0.01            0.0                0.00   \n4    0.01           0.00         0.00            0.0                0.01   \n\n   Moroccan Restaurant  Museum  Music Venue  Opera House  Optical Shop  \\\n0                  0.0    0.00         0.00         0.00           0.0   \n1                  0.0    0.00         0.00         0.00           0.0   \n2                  0.0    0.01         0.00         0.00           0.0   \n3                  0.0    0.00         0.00         0.00           0.0   \n4                  0.0    0.01         0.02         0.01           0.0   \n\n   Organic Grocery  Park  Pastry Shop  Pedestrian Plaza  Pizza Place  Plaza  \\\n0              0.0  0.01         0.02              0.01         0.03   0.03   \n1              0.0  0.01         0.02              0.01         0.02   0.03   \n2              0.0  0.00         0.02              0.01         0.01   0.03   \n3              0.0  0.00         0.03              0.01         0.01   0.03   \n4              0.0  0.01         0.01              0.01         0.04   0.03   \n\n   Portuguese Restaurant  Proven\u00e7al Restaurant   Pub  Record Shop  Restaurant  \\\n0                   0.00                  0.01  0.00          0.0        0.02   \n1                   0.00                  0.01  0.00          0.0        0.02   \n2                   0.00                  0.01  0.01          0.0        0.01   \n3                   0.01                  0.00  0.01          0.0        0.01   \n4                   0.00                  0.01  0.01          0.0        0.00   \n\n   Salon / Barbershop  Scandinavian Restaurant  Seafood Restaurant  \\\n0                 0.0                     0.01                0.01   \n1                 0.0                     0.01                0.02   \n2                 0.0                     0.02                0.02   \n3                 0.0                     0.02                0.02   \n4                 0.0                     0.00                0.03   \n\n   Shoe Store  Southwestern French Restaurant  Spa  Sporting Goods Shop  \\\n0        0.01                            0.00  0.0                 0.01   \n1        0.01                            0.00  0.0                 0.01   \n2        0.00                            0.00  0.0                 0.01   \n3        0.00                            0.00  0.0                 0.01   \n4        0.00                            0.01  0.0                 0.00   \n\n   Steakhouse  Supermarket  Sushi Restaurant  Szechuan Restaurant  \\\n0         0.0         0.00              0.01                 0.00   \n1         0.0         0.00              0.01                 0.00   \n2         0.0         0.01              0.01                 0.00   \n3         0.0         0.00              0.01                 0.00   \n4         0.0         0.01              0.01                 0.01   \n\n   Tapas Restaurant  Tea Room  Thai Restaurant  Trail  \\\n0              0.03      0.04             0.01    0.0   \n1              0.03      0.04             0.01    0.0   \n2              0.03      0.03             0.02    0.0   \n3              0.03      0.03             0.02    0.0   \n4              0.03      0.02             0.02    0.0   \n\n   Vegetarian / Vegan Restaurant  Waterfront  Wine Bar  Wine Shop  Zoo Exhibit  \n0                           0.00         0.0      0.00       0.00          0.0  \n1                           0.00         0.0      0.01       0.00          0.0  \n2                           0.01         0.0      0.02       0.00          0.0  \n3                           0.00         0.0      0.02       0.00          0.0  \n4                           0.01         0.0      0.01       0.01          0.0  "}, "output_type": "execute_result"}], "source": "#Reuilly_grouped = Reuilly_onehot.groupby('Neighbourhood').mean().reset_index()\n#Reuilly_grouped.head()"}, {"execution_count": 116, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_grouped.to_csv('Reuilly_grouped.csv')"}, {"execution_count": 117, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 100 entries, 0 to 99\nColumns: 112 entries, Neighbourhood to Zoo Exhibit\ndtypes: float64(111), object(1)\nmemory usage: 87.6+ KB\n"}], "source": "#Reuilly_grouped.info()"}, {"source": "- Let's find the top venues in Reuilly", "cell_type": "markdown", "metadata": {}}, {"execution_count": 249, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#num_top_venues = 5\n\n#for hood in Reuilly_grouped['Neighbourhood']:\n    #print(\"----\"+hood+\"----\")\n #   Reuilly_temp = Reuilly_grouped[Reuilly_grouped['Neighbourhood'] == hood].T.reset_index()\n  #  Reuilly_temp.columns = ['venue','freq']\n   # Reuilly_temp = Reuilly_temp.iloc[1:]\n   # Reuilly_temp['freq'] = Reuilly_temp['freq'].astype(float)\n   # Reuilly_temp = Reuilly_temp.round({'freq': 2})\n    #print(Reuilly_temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n    #print('\\n')\n    \n    "}, {"source": "### Let's put that into a pandas dataframe\n\n- here is a function to sort the venues in descending order.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 250, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#def return_most_common_venues(row, num_top_venues):\n #   row_categories = row.iloc[1:]\n  #  row_categories_sorted = row_categories.sort_values(ascending=False)\n    \n  #  return row_categories_sorted.index.values[0:num_top_venues]"}, {"source": "- Now let's create the new dataframe and display the top 5 venues for each neighborhood, \n\n- as was done for the Manhattan set", "cell_type": "markdown", "metadata": {}}, {"execution_count": 251, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 251, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n  </tbody>\n</table>\n</div>", "text/plain": "Empty DataFrame\nColumns: [Neighbourhood, 1st Most Common Venue, 2nd Most Common Venue, 3rd Most Common Venue, 4th Most Common Venue, 5th Most Common Venue]\nIndex: []"}, "output_type": "execute_result"}], "source": "#num_top_venues = 5\n#indicators = ['st', 'nd', 'rd']\n\n# create columns according to number of top venues\n#columns = ['Neighbourhood']\n#for ind in np.arange(num_top_venues):\n    #try:\n        #columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n    #except:\n        #columns.append('{}th Most Common Venue'.format(ind+1))\n\n# create a new dataframe\n#Reuilly_neighbourhoods_venues_sorted = pd.DataFrame(columns=columns)\n\n#Reuilly_neighbourhoods_venues_sorted"}, {"execution_count": 252, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 252, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Acqua di Parma</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Amorino</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Au Bouquet Saint Paul</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Au Petit Thai</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Ban Sabai</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "           Neighbourhood 1st Most Common Venue 2nd Most Common Venue  \\\n0         Acqua di Parma                   NaN                   NaN   \n1                Amorino                   NaN                   NaN   \n2  Au Bouquet Saint Paul                   NaN                   NaN   \n3          Au Petit Thai                   NaN                   NaN   \n4              Ban Sabai                   NaN                   NaN   \n\n  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \n0                   NaN                   NaN                   NaN  \n1                   NaN                   NaN                   NaN  \n2                   NaN                   NaN                   NaN  \n3                   NaN                   NaN                   NaN  \n4                   NaN                   NaN                   NaN  "}, "output_type": "execute_result"}], "source": "#Reuilly_neighbourhoods_venues_sorted['Neighbourhood'] = Reuilly_grouped['Neighbourhood']\n\n#Reuilly_neighbourhoods_venues_sorted.head()"}, {"execution_count": 253, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 253, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Acqua di Parma</td>\n      <td>French Restaurant</td>\n      <td>Hotel</td>\n      <td>Coffee Shop</td>\n      <td>Bakery</td>\n      <td>Clothing Store</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Amorino</td>\n      <td>French Restaurant</td>\n      <td>Hotel</td>\n      <td>Clothing Store</td>\n      <td>Bakery</td>\n      <td>Coffee Shop</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Au Bouquet Saint Paul</td>\n      <td>French Restaurant</td>\n      <td>Hotel</td>\n      <td>Bakery</td>\n      <td>Clothing Store</td>\n      <td>Garden</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Au Petit Thai</td>\n      <td>French Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Hotel</td>\n      <td>Clothing Store</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Ban Sabai</td>\n      <td>French Restaurant</td>\n      <td>Hotel</td>\n      <td>Pizza Place</td>\n      <td>Tapas Restaurant</td>\n      <td>Bar</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "           Neighbourhood 1st Most Common Venue 2nd Most Common Venue  \\\n0         Acqua di Parma     French Restaurant                 Hotel   \n1                Amorino     French Restaurant                 Hotel   \n2  Au Bouquet Saint Paul     French Restaurant                 Hotel   \n3          Au Petit Thai     French Restaurant           Coffee Shop   \n4              Ban Sabai     French Restaurant                 Hotel   \n\n  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \n0           Coffee Shop                Bakery        Clothing Store  \n1        Clothing Store                Bakery           Coffee Shop  \n2                Bakery        Clothing Store                Garden  \n3                 Hotel        Clothing Store    Italian Restaurant  \n4           Pizza Place      Tapas Restaurant                   Bar  "}, "output_type": "execute_result"}], "source": "#for ind in np.arange(Reuilly_grouped.shape[0]):\n    #Reuilly_neighbourhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(Reuilly_grouped.iloc[ind, :], num_top_venues)\n\n#Reuilly_neighbourhoods_venues_sorted.head()"}, {"execution_count": 254, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_neighbourhoods_venues_sorted.to_csv('Reuilly_neighbourhoods_venues_sorted.csv')"}, {"execution_count": 255, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 100 entries, 0 to 99\nData columns (total 6 columns):\nNeighbourhood            100 non-null object\n1st Most Common Venue    100 non-null object\n2nd Most Common Venue    100 non-null object\n3rd Most Common Venue    100 non-null object\n4th Most Common Venue    100 non-null object\n5th Most Common Venue    100 non-null object\ndtypes: object(6)\nmemory usage: 4.8+ KB\n"}], "source": "#Reuilly_neighbourhoods_venues_sorted.info()"}, {"source": "### Okay, another full bucket!", "cell_type": "markdown", "metadata": {}}, {"source": "### Global Liveability Index [Report]( https://www.eiu.com/topic/liveabilit). \n\n- The rank is out of 140 global cities, the scores are in percent.  \n- The overall rating is the combination of all the factors surveyed across the five main categories. \n\n#### We will simply constructing the dataframe from a numpy array as follows:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 125, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 125, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Country</th>\n      <th>City</th>\n      <th>Rank</th>\n      <th>Overall_Rating</th>\n      <th>Stability</th>\n      <th>Healthcare</th>\n      <th>Culture_Environment</th>\n      <th>Education</th>\n      <th>Infrastructure</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Canada</td>\n      <td>Toronto</td>\n      <td>4</td>\n      <td>97.2</td>\n      <td>100.0</td>\n      <td>100.0</td>\n      <td>97.2</td>\n      <td>100.0</td>\n      <td>89.3</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>France</td>\n      <td>Paris</td>\n      <td>29</td>\n      <td>92.3</td>\n      <td>75.0</td>\n      <td>100.0</td>\n      <td>97.2</td>\n      <td>100.0</td>\n      <td>96.4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>US</td>\n      <td>New York</td>\n      <td>55</td>\n      <td>86.6</td>\n      <td>70.0</td>\n      <td>91.7</td>\n      <td>91.7</td>\n      <td>100.0</td>\n      <td>89.3</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "  Country      City Rank Overall_Rating Stability Healthcare  \\\n0  Canada   Toronto    4           97.2     100.0      100.0   \n1  France     Paris   29           92.3      75.0      100.0   \n2      US  New York   55           86.6      70.0       91.7   \n\n  Culture_Environment Education Infrastructure  \n0                97.2     100.0           89.3  \n1                97.2     100.0           96.4  \n2                91.7     100.0           89.3  "}, "output_type": "execute_result"}], "source": "#import numpy as np\n#import pandas as pd\n\n#Creating pandas dataframe from numpy array\n#L_Ranking = pd.DataFrame(np.array([['Canada', 'Toronto', 4, 97.2, 100.0, 100.0, 97.2, 100.0, 89.3], \n                                   #['France', 'Paris', 29, 92.3, 75.0, 100.0, 97.2, 100.0, 96.4], \n                                   ['US', 'New York', 55, 86.6, 70.0, 91.7, 91.7, 100.0, 89.3]]),\n                   #columns=['Country', 'City', 'Rank', 'Overall_Rating', 'Stability', 'Healthcare', 'Culture_Environment', 'Education', 'Infrastructure'])\n\n#L_Ranking"}, {"source": "#### Here is the link to the Ipython notebook hosted on Github, This notebook is an assignment for a course on **Coursera** called *Applied Data Science Capstone*, you can take this course online by clicking [here](http://cocl.us/DP0701EN_Coursera_Week3_LAB2):\n\n## https://github.com/lindangulopez/Coursera_Capstone/blob/master/Capstone%20Project%20June%202019.ipynb\n\n\n\n\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 128, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#L_Ranking.to_csv('L_Ranking.csv')"}, {"source": "\n\n<h1 align=center><font size = 6>3.Collaborate!!!Collaborate!!!Collaborate!!!Collaborate!!!Collaborate!!!</font></h1>\n\n\n<h2 align=center><font size = 4>Step in and collaborate in making it a good example of how Python can help analyze real world data. The source document is stored on Github as a gist as well as in the Coursera repository, which means you can fork it and use it as a start for you own data-hack. To contribute, just fork the gist as you would with any git repository. Here we will go on to do Inferential statistical testing, to analyze each neighborhood in New York, Toronto and Paris with k-means clustering algorithm to find the closest inter-city/neighborhood match. Machine Learning will be used to cluster the neighborhoods, then the recommendations will be published in a report and on a blog.</font></h2>\n\n<h6 align=center><font size = 6></font>Collaborate!!!Collaborate!!!Collaborate!!!Collaborate!!!Collaborate!!!</h6>\n\n<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>\n", "cell_type": "markdown", "metadata": {}}, {"source": "<h1 align=center><font size = 6></font>4. Data Analysis</h1>\n\n\n<h2 align=center><font size = 4>Here we will analyze real world data, this notebook has code on how to do to do Inferential statistical testing by k-means clustering to analyze each neighborhood in New York, Toronto and Paris, Reuilly as well as algorithms to find the closest inter-city/neighborhood match. Machine Learning will be used to cluster the neighborhoods and 'Liveability' Indicator will be created to 'make recommendations to the client' and published in a report and on a blog.</font></h2>\n\n<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>\n\n", "cell_type": "markdown", "metadata": {}}, {"source": " ## Inferential statistical testing by k-means clustering, analyze each neighborhood:", "cell_type": "markdown", "metadata": {}}, {"source": "#### Upload data neighbourhood data:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 129, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Libraries imported.\n"}], "source": "import numpy as np # library to handle data in a vectorized manner\nimport pandas as pd # library for data analsysis\nimport csv #  Library for file reading and writing\n\nprint('Libraries imported.')"}, {"source": "#### We are going to use the geo-cordonates venue data form W1, for: \n\n- New York, Manhattan\n- York, Toronto\n- and Reuilly, Paris\n\nAs this is what we need to answer the client.\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 130, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 130, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>Manhattan</td>\n      <td>Marble Hill</td>\n      <td>40.876551</td>\n      <td>-73.910660</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>Manhattan</td>\n      <td>Chinatown</td>\n      <td>40.715618</td>\n      <td>-73.994279</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>Manhattan</td>\n      <td>Washington Heights</td>\n      <td>40.851903</td>\n      <td>-73.936900</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>Manhattan</td>\n      <td>Inwood</td>\n      <td>40.867684</td>\n      <td>-73.921210</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>Manhattan</td>\n      <td>Hamilton Heights</td>\n      <td>40.823604</td>\n      <td>-73.949688</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0    Borough        Neighborhood   Latitude  Longitude\n0           0  Manhattan         Marble Hill  40.876551 -73.910660\n1           1  Manhattan           Chinatown  40.715618 -73.994279\n2           2  Manhattan  Washington Heights  40.851903 -73.936900\n3           3  Manhattan              Inwood  40.867684 -73.921210\n4           4  Manhattan    Hamilton Heights  40.823604 -73.949688"}, "output_type": "execute_result"}], "source": "NewYork_Man_data = pd.read_csv(\"manhattan_data.csv\") \n\n# Preview the first 5 lines of the loaded data \nNewYork_Man_data.head()"}, {"execution_count": 131, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 40 entries, 0 to 39\nData columns (total 5 columns):\nUnnamed: 0      40 non-null int64\nBorough         40 non-null object\nNeighborhood    40 non-null object\nLatitude        40 non-null float64\nLongitude       40 non-null float64\ndtypes: float64(2), int64(1), object(2)\nmemory usage: 1.6+ KB\n"}], "source": "NewYork_Man_data.info()"}, {"execution_count": 132, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Manhattan has 40 neighborhoods.\n"}], "source": "print('Manhattan has {} neighborhoods.'.format(NewYork_Man_data.shape[0]))"}, {"execution_count": 133, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 133, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>PostalCode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>M6E</td>\n      <td>York</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>M6M</td>\n      <td>York</td>\n      <td>Del Ray,Keelesdale,Mount Dennis,Silverthorn</td>\n      <td>43.691116</td>\n      <td>-79.476013</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>M6C</td>\n      <td>York</td>\n      <td>Humewood-Cedarvale</td>\n      <td>43.693781</td>\n      <td>-79.428191</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>M6N</td>\n      <td>York</td>\n      <td>The Junction North,Runnymede</td>\n      <td>43.673185</td>\n      <td>-79.487262</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>M9N</td>\n      <td>York</td>\n      <td>Weston</td>\n      <td>43.706876</td>\n      <td>-79.518188</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0 PostalCode Borough                                Neighbourhood  \\\n0           0        M6E    York                          Caledonia-Fairbanks   \n1           1        M6M    York  Del Ray,Keelesdale,Mount Dennis,Silverthorn   \n2           2        M6C    York                           Humewood-Cedarvale   \n3           3        M6N    York                 The Junction North,Runnymede   \n4           4        M9N    York                                       Weston   \n\n    Latitude  Longitude  \n0  43.689026 -79.453512  \n1  43.691116 -79.476013  \n2  43.693781 -79.428191  \n3  43.673185 -79.487262  \n4  43.706876 -79.518188  "}, "output_type": "execute_result"}], "source": "Toronto_York_data = pd.read_csv(\"york_data.csv\") \n\n#Preview the first 5 lines of the loaded data \nToronto_York_data.head()"}, {"execution_count": 134, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 5 entries, 0 to 4\nData columns (total 6 columns):\nUnnamed: 0       5 non-null int64\nPostalCode       5 non-null object\nBorough          5 non-null object\nNeighbourhood    5 non-null object\nLatitude         5 non-null float64\nLongitude        5 non-null float64\ndtypes: float64(2), int64(1), object(3)\nmemory usage: 320.0+ bytes\n"}], "source": "#Toronto_York_data.info()"}, {"execution_count": 135, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "York has 5 neighborhoods.\n"}], "source": "print('York has {} neighborhoods.'.format(Toronto_York_data.shape[0]))"}, {"execution_count": 136, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Paris_data = pd.read_csv(\"P_data.csv\") \n\n# Preview the first 5 lines of the loaded data \nParis_data.head()"}, {"execution_count": 137, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Reuilly_data = Paris_data[Paris_data['Borough'] == '12th arrondissement de Reuilly'].reset_index(drop=True)\n#Reuilly_data.head()"}, {"execution_count": 138, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Reuilly_data.to_csv('reuilly_data.csv')"}, {"execution_count": 139, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Paris_Reuilly_data = pd.read_csv(\"reuilly_data.csv\") \n\n# Preview the first 5 lines of the loaded data \n#Paris_Reuilly_data.head()"}, {"execution_count": 140, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 140, "metadata": {}, "data": {"text/plain": "['Unnamed: 0',\n 'Unnamed: 0.1',\n 'Borough',\n 'Neighborhood',\n 'latitude',\n 'longitude']"}, "output_type": "execute_result"}], "source": "Paris_Reuilly_data_cols = Paris_Reuilly_data.columns.tolist()\n#Paris_Reuilly_data_cols"}, {"execution_count": 141, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 141, "metadata": {}, "data": {"text/plain": "['Borough', 'Neighborhood', 'latitude', 'longitude']"}, "output_type": "execute_result"}], "source": "PR_new_cols = ['Borough',\n'Neighborhood',\n'latitude',\n'longitude']\nPR_new_cols"}, {"execution_count": 142, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Reuilly_data = Paris_Reuilly_data[PR_new_cols]"}, {"execution_count": 82, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Reuilly_data.head()"}, {"execution_count": 143, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Reuilly_data.to_csv('Reuilly_data.csv')"}, {"execution_count": 144, "cell_type": "code", "metadata": {}, "outputs": [], "source": "reuilly_data = pd.read_csv(\"Reuilly_data.csv\") \n\n# Preview the first 5 lines of the loaded data \n#reuilly_data.head()"}, {"execution_count": 145, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 145, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>latitude</th>\n      <th>longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>12th arrondissement de Reuilly</td>\n      <td>Bel-Air</td>\n      <td>48.852874</td>\n      <td>2.363723</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>12th arrondissement de Reuilly</td>\n      <td>Picpus</td>\n      <td>48.834385</td>\n      <td>2.387224</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>12th arrondissement de Reuilly</td>\n      <td>Bercy</td>\n      <td>48.839487</td>\n      <td>2.390523</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>12th arrondissement de Reuilly</td>\n      <td>Quinze-Vingts</td>\n      <td>48.851250</td>\n      <td>2.370110</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "                          Borough   Neighborhood   latitude  longitude\n0  12th arrondissement de Reuilly        Bel-Air  48.852874   2.363723\n1  12th arrondissement de Reuilly         Picpus  48.834385   2.387224\n2  12th arrondissement de Reuilly          Bercy  48.839487   2.390523\n3  12th arrondissement de Reuilly  Quinze-Vingts  48.851250   2.370110"}, "output_type": "execute_result"}], "source": "reuilly_data = Paris_Reuilly_data[PR_new_cols]\n#reuilly_data.head()"}, {"execution_count": 146, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 4 entries, 0 to 3\nData columns (total 4 columns):\nBorough         4 non-null object\nNeighborhood    4 non-null object\nlatitude        4 non-null float64\nlongitude       4 non-null float64\ndtypes: float64(2), object(2)\nmemory usage: 208.0+ bytes\n"}], "source": "#reuilly_data.info()"}, {"execution_count": 147, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Reuilly has 4 neighborhoods.\n"}], "source": "print('Reuilly has {} neighborhoods.'.format(reuilly_data.shape[0]))"}, {"source": "#### The Manhattan neighbourhood dataframe is very large!", "cell_type": "markdown", "metadata": {}}, {"execution_count": 148, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Manhattan, New York has 40 neighborhoods.\nwhile:\nYork, Toronto has 5 neighborhoods.\nReuilly, Paris has 4 neighborhoods.\n"}], "source": "print('Manhattan, New York has {} neighborhoods.'.format(NewYork_Man_data.shape[0]))\nprint('while:')\nprint('York, Toronto has {} neighborhoods.'.format(Toronto_York_data.shape[0]))\nprint('Reuilly, Paris has {} neighborhoods.'.format(reuilly_data.shape[0]))"}, {"source": "#### Notes_to report: \nOn paper Manhattan has 10 times as many neighbourhoods that Reuilly, which can be offputting for the client at first but also misleading as all Parisian boroughs are split into quarters. There are just 5 neighbourhoods in York, a closer match we'd think or not\n\n- So lets take a look at the venues dataframes, we might get another view!", "cell_type": "markdown", "metadata": {}}, {"execution_count": 149, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 149, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Neighborhood</th>\n      <th>Neighborhood Latitude</th>\n      <th>Neighborhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Latitude</th>\n      <th>Venue Longitude</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>Marble Hill</td>\n      <td>40.876551</td>\n      <td>-73.91066</td>\n      <td>Arturo's</td>\n      <td>40.874412</td>\n      <td>-73.910271</td>\n      <td>Pizza Place</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>Marble Hill</td>\n      <td>40.876551</td>\n      <td>-73.91066</td>\n      <td>Bikram Yoga</td>\n      <td>40.876844</td>\n      <td>-73.906204</td>\n      <td>Yoga Studio</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>Marble Hill</td>\n      <td>40.876551</td>\n      <td>-73.91066</td>\n      <td>Tibbett Diner</td>\n      <td>40.880404</td>\n      <td>-73.908937</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>Marble Hill</td>\n      <td>40.876551</td>\n      <td>-73.91066</td>\n      <td>Starbucks</td>\n      <td>40.877531</td>\n      <td>-73.905582</td>\n      <td>Coffee Shop</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>Marble Hill</td>\n      <td>40.876551</td>\n      <td>-73.91066</td>\n      <td>Dunkin'</td>\n      <td>40.877136</td>\n      <td>-73.906666</td>\n      <td>Donut Shop</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0 Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n0           0  Marble Hill              40.876551               -73.91066   \n1           1  Marble Hill              40.876551               -73.91066   \n2           2  Marble Hill              40.876551               -73.91066   \n3           3  Marble Hill              40.876551               -73.91066   \n4           4  Marble Hill              40.876551               -73.91066   \n\n           Venue  Venue Latitude  Venue Longitude Venue Category  \n0       Arturo's       40.874412       -73.910271    Pizza Place  \n1    Bikram Yoga       40.876844       -73.906204    Yoga Studio  \n2  Tibbett Diner       40.880404       -73.908937          Diner  \n3      Starbucks       40.877531       -73.905582    Coffee Shop  \n4        Dunkin'       40.877136       -73.906666     Donut Shop  "}, "output_type": "execute_result"}], "source": "manhattan_venues = pd.read_csv(\"manhattan_venues.csv\") \n\n# Preview the first 5 lines of the loaded data \nmanhattan_venues.head()"}, {"execution_count": 150, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 3331 entries, 0 to 3330\nData columns (total 8 columns):\nUnnamed: 0                3331 non-null int64\nNeighborhood              3331 non-null object\nNeighborhood Latitude     3331 non-null float64\nNeighborhood Longitude    3331 non-null float64\nVenue                     3331 non-null object\nVenue Latitude            3331 non-null float64\nVenue Longitude           3331 non-null float64\nVenue Category            3331 non-null object\ndtypes: float64(4), int64(1), object(3)\nmemory usage: 208.3+ KB\n"}], "source": "#manhattan_venues.info()"}, {"execution_count": 151, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Manhattan has at least 332 types of venues and at least 3331 venues.\n"}], "source": "print('Manhattan has at least {} types of venues and at least {} venues.'.format(\n        len(manhattan_venues['Venue Category'].unique()),\n        manhattan_venues.shape[0]\n    )\n)"}, {"source": "As there was no cap set to limit the Manhattan venues their results are three times that of Paris per neighbourhood, per 500m radius.\n\n- We will rank the number of venues per neighbourhood as follows, and according to what our client's taste, as follows:\n\n1-10 = too low\n\n10-29 = low\n\n30-59 = perfect\n\n60-89 = high\n\nmore than 90 is overwhelming\n\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 95, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 95, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Latitude</th>\n      <th>Venue Longitude</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Shoppers Drug Mart</td>\n      <td>43.690651</td>\n      <td>-79.456310</td>\n      <td>Pharmacy</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>KFC</td>\n      <td>43.690647</td>\n      <td>-79.456326</td>\n      <td>Fast Food Restaurant</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Nairn Park</td>\n      <td>43.690654</td>\n      <td>-79.456300</td>\n      <td>Park</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Maximum Woman</td>\n      <td>43.690651</td>\n      <td>-79.456333</td>\n      <td>Women's Store</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Walmart</td>\n      <td>43.690660</td>\n      <td>-79.456317</td>\n      <td>Market</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0        Neighbourhood  Neighbourhood Latitude  \\\n0           0  Caledonia-Fairbanks               43.689026   \n1           1  Caledonia-Fairbanks               43.689026   \n2           2  Caledonia-Fairbanks               43.689026   \n3           3  Caledonia-Fairbanks               43.689026   \n4           4  Caledonia-Fairbanks               43.689026   \n\n   Neighbourhood Longitude               Venue  Venue Latitude  \\\n0               -79.453512  Shoppers Drug Mart       43.690651   \n1               -79.453512                 KFC       43.690647   \n2               -79.453512          Nairn Park       43.690654   \n3               -79.453512       Maximum Woman       43.690651   \n4               -79.453512             Walmart       43.690660   \n\n   Venue Longitude        Venue Category  \n0       -79.456310              Pharmacy  \n1       -79.456326  Fast Food Restaurant  \n2       -79.456300                  Park  \n3       -79.456333         Women's Store  \n4       -79.456317                Market  "}, "output_type": "execute_result"}], "source": "york_venues = pd.read_csv(\"york_venues.csv\") \n\n# Preview the first 5 lines of the loaded data \nyork_venues.head()"}, {"execution_count": 101, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "York has at least 17 types of venues and at least 20 venues.\n"}], "source": "print('York has at least {} types of venues and at least {} venues.'.format(\n        len(york_venues['Venue Category'].unique()),\n        york_venues.shape[0]\n    )\n)"}, {"execution_count": 98, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 98, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Latitude</th>\n      <th>Venue Longitude</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Tapas Restaurant</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Le Temps des Cerises</td>\n      <td>48.852554</td>\n      <td>2.364195</td>\n      <td>French Restaurant</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Sherry Butt</td>\n      <td>48.853267</td>\n      <td>2.364114</td>\n      <td>Cocktail Bar</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Pasta Linea</td>\n      <td>48.855250</td>\n      <td>2.363416</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>Homies</td>\n      <td>48.853542</td>\n      <td>2.364448</td>\n      <td>Keep Cool</td>\n      <td>48.852085</td>\n      <td>2.363371</td>\n      <td>Gym</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0 Neighbourhood  Neighbourhood Latitude  Neighbourhood Longitude  \\\n0           0        Homies               48.853542                 2.364448   \n1           1        Homies               48.853542                 2.364448   \n2           2        Homies               48.853542                 2.364448   \n3           3        Homies               48.853542                 2.364448   \n4           4        Homies               48.853542                 2.364448   \n\n                  Venue  Venue Latitude  Venue Longitude      Venue Category  \n0                Homies       48.853542         2.364448    Tapas Restaurant  \n1  Le Temps des Cerises       48.852554         2.364195   French Restaurant  \n2           Sherry Butt       48.853267         2.364114        Cocktail Bar  \n3           Pasta Linea       48.855250         2.363416  Italian Restaurant  \n4             Keep Cool       48.852085         2.363371                 Gym  "}, "output_type": "execute_result"}], "source": "reuilly_venues = pd.read_csv(\"Reuilly_venues.csv\") \n\n# Preview the first 5 lines of the loaded data \nreuilly_venues.head()"}, {"execution_count": 103, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Reuilly has at least 111 types of venues and at least 9737 venues.\nManhattan has at least 332 types of venues and at least 3331 venues.\nYork has at least 17 types of venues and at least 20 venues.\n"}], "source": "print('Reuilly has at least {} types of venues and at least {} venues.'.format(\n        len(reuilly_venues['Venue Category'].unique()),\n        reuilly_venues.shape[0]\n    )\n)\n\nprint('Manhattan has at least {} types of venues and at least {} venues.'.format(\n        len(manhattan_venues['Venue Category'].unique()),\n        manhattan_venues.shape[0]\n    )\n)\n\n\nprint('York has at least {} types of venues and at least {} venues.'.format(\n        len(york_venues['Venue Category'].unique()),\n        york_venues.shape[0]\n    )\n)"}, {"source": " #### Notes_to report: \n\nOn paper Manhattan has three times as many types of venues than Reuilly, which \nhas on it's side three times as many venues than Manhattan. Indicating a higher \ndensity but less diversity in Reuilly compared to Manhattan. York on the other \nhand looks suspiciously dull with just 20 venues!\n", "cell_type": "markdown", "metadata": {}}, {"source": "- So lets find other neighboourhoods in Toronto, which might be a better match to Reuilly.\n- Which would mean that the client would have to commute to work of course\n- The client is not prepared to spend more than 30 minutes commuting.", "cell_type": "markdown", "metadata": {}}, {"source": "## Before we get the data and start exploring it, let's download all the dependencies that we will need.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 104, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Collecting package metadata: done\nSolving environment: \\ \nThe environment is inconsistent, please check the package plan carefully\nThe following packages are causing the inconsistency:\n\n  - defaults/linux-64::anaconda==5.3.1=py37_0\n  - defaults/linux-64::astropy==3.0.4=py37h14c3975_0\n  - defaults/linux-64::bkcharts==0.2=py37_0\n  - defaults/linux-64::blaze==0.11.3=py37_0\n  - defaults/linux-64::bokeh==0.13.0=py37_0\n  - defaults/linux-64::bottleneck==1.2.1=py37h035aef0_1\n  - defaults/linux-64::dask==0.19.1=py37_0\n  - defaults/linux-64::datashape==0.5.4=py37_1\n  - defaults/linux-64::mkl-service==1.1.2=py37h90e4bf4_5\n  - defaults/linux-64::numba==0.39.0=py37h04863e7_0\n  - defaults/linux-64::numexpr==2.6.8=py37hd89afb7_0\n  - defaults/linux-64::odo==0.5.1=py37_0\n  - defaults/linux-64::pytables==3.4.4=py37ha205bf6_0\n  - defaults/linux-64::pytest-arraydiff==0.2=py37h39e3cac_0\n  - defaults/linux-64::pytest-astropy==0.4.0=py37_0\n  - defaults/linux-64::pytest-doctestplus==0.1.3=py37_0\n  - defaults/linux-64::pywavelets==1.0.0=py37hdd07704_0\n  - defaults/linux-64::scikit-image==0.14.0=py37hf484d3e_1\ndone\n\n# All requested packages already installed.\n\nLibraries imported.\n"}], "source": "import numpy as np # library to handle data in a vectorized manner\n\nimport pandas as pd # library for data analsysis\npd.set_option('display.max_columns', None)\npd.set_option('display.max_rows', None)\n\nimport json # library to handle JSON files\n\n#!conda install -c conda-forge geopy --yes # uncomment this line if you haven't completed the Foursquare API lab\nfrom geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n\nimport requests # library to handle requests\nfrom pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n\n# Matplotlib and associated plotting modules\nimport matplotlib.cm as cm\nimport matplotlib.colors as colors\n\n# import k-means from clustering stage\nfrom sklearn.cluster import KMeans\n\n!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't completed the Foursquare API lab\nimport folium # map rendering library\n\nprint('Libraries imported.')"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"source": "Lets take a peek at the Toronto Geo_Coordinate data:  has a total of 5 boroughs and 306 neighborhoods. In order to segement the neighborhoods and explore them, \nwe will essentially need a dataset that contains the 5 boroughs and the neighborhoods that exist in each borough as well \nas the the latitude and logitude coordinates of each neighborhood. ", "cell_type": "markdown", "metadata": {}}, {"execution_count": 106, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 106, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>DowntownToronto</td>\n      <td>Adelaide,King,Richmond</td>\n      <td>43.650571</td>\n      <td>-79.384568</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>Scarborough</td>\n      <td>Agincourt</td>\n      <td>43.794200</td>\n      <td>-79.262029</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>Scarborough</td>\n      <td>Agincourt North,L'Amoreaux East,Milliken,Steel...</td>\n      <td>43.815252</td>\n      <td>-79.284577</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>Etobicoke</td>\n      <td>Albion Gardens,Beaumond Heights,Humbergate,Jam...</td>\n      <td>43.739416</td>\n      <td>-79.588437</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>Etobicoke</td>\n      <td>Alderwood,Long Branch</td>\n      <td>43.602414</td>\n      <td>-79.543484</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0          Borough  \\\n0           0  DowntownToronto   \n1           1      Scarborough   \n2           2      Scarborough   \n3           3        Etobicoke   \n4           4        Etobicoke   \n\n                                        Neighborhood   Latitude  Longitude  \n0                             Adelaide,King,Richmond  43.650571 -79.384568  \n1                                          Agincourt  43.794200 -79.262029  \n2  Agincourt North,L'Amoreaux East,Milliken,Steel...  43.815252 -79.284577  \n3  Albion Gardens,Beaumond Heights,Humbergate,Jam...  43.739416 -79.588437  \n4                              Alderwood,Long Branch  43.602414 -79.543484  "}, "output_type": "execute_result"}], "source": "Toronto_neighbourhoods = pd.read_csv(\"T_geoloc.csv\") \n\n# Preview the first 5 lines of the loaded data \nToronto_neighbourhoods.head()"}, {"execution_count": 107, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 103 entries, 0 to 102\nData columns (total 5 columns):\nUnnamed: 0      103 non-null int64\nBorough         103 non-null object\nNeighborhood    103 non-null object\nLatitude        103 non-null float64\nLongitude       103 non-null float64\ndtypes: float64(2), int64(1), object(2)\nmemory usage: 4.1+ KB\n"}], "source": "Toronto_neighbourhoods.info()"}, {"execution_count": 108, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "The Toronto dataframe has 11 boroughs and 103 neighborhoods.\n"}], "source": "print('The Toronto dataframe has {} boroughs and {} neighborhoods.'.format(\n        len(Toronto_neighbourhoods['Borough'].unique()),\n        Toronto_neighbourhoods.shape[0]\n    )\n)"}, {"source": "### Now, let's explore the Toronto boroughs: ", "cell_type": "markdown", "metadata": {}}, {"execution_count": 111, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 111, "metadata": {}, "data": {"text/plain": "array(['DowntownToronto', 'Scarborough', 'Etobicoke', 'NorthYork',\n       'WestToronto', 'EastToronto', 'York', 'Mississauga',\n       'CentralToronto', 'EastYork', \"Queen'sPark\"], dtype=object)"}, "output_type": "execute_result"}], "source": "T_boroughs = Toronto_neighbourhoods['Borough'].unique()\nT_boroughs"}, {"source": "### Lets find out which Borough is the quickest to Fort York Toronto Public Library, TORONTO, where he will be working. \n\n- Data was collected from https://www.google.com/search?q=Drive+''T_boroughs''+Bus+Stop+Toronto+to+Toronto+Public+Library\n- And stored in the following dataframe ", "cell_type": "markdown", "metadata": {}}, {"execution_count": 320, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 320, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Borough</th>\n      <th>Car_Time_in_Minutes</th>\n      <th>Public_Transport_Time_in_Minutes</th>\n      <th>Walk_Time_in_Minutes</th>\n      <th>Cycle_Time_in_Minutes</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Downtown_Toronto</td>\n      <td>10</td>\n      <td>20</td>\n      <td>30</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Scarborough</td>\n      <td>40</td>\n      <td>80</td>\n      <td>300</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Etobicoke</td>\n      <td>20</td>\n      <td>40</td>\n      <td>120</td>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>NorthYork</td>\n      <td>40</td>\n      <td>60</td>\n      <td>220</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>WestToronto</td>\n      <td>30</td>\n      <td>60</td>\n      <td>100</td>\n      <td>40</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "            Borough Car_Time_in_Minutes Public_Transport_Time_in_Minutes  \\\n0  Downtown_Toronto                  10                               20   \n1       Scarborough                  40                               80   \n2         Etobicoke                  20                               40   \n3         NorthYork                  40                               60   \n4       WestToronto                  30                               60   \n\n  Walk_Time_in_Minutes Cycle_Time_in_Minutes  \n0                   30                    10  \n1                  300                   100  \n2                  120                    40  \n3                  220                   100  \n4                  100                    40  "}, "output_type": "execute_result"}], "source": "import numpy as np\nimport pandas as pd\n\n#Creating pandas dataframe from numpy array\nCommute_York = pd.DataFrame(np.array([['Downtown_Toronto', 10, 20, 30, 10], \n                                      ['Scarborough', 40, 80, 300, 100], \n                                      ['Etobicoke', 20, 40, 120, 40], \n                                      ['NorthYork', 40, 60, 220, 100], \n                                      ['WestToronto', 30, 60, 100, 40], \n                                      ['EastToronto', 10, 30, 35, 15], \n                                      ['Mississauga', 40, 110, 390, 110], \n                                      ['CentralToronto', 15, 40, 40, 15], \n                                      ['EastYork', 20, 60, 210, 60], \n                                      ['Queens_Park', 20, 30, 50, 10]]),\n                   columns=['Borough', 'Car_Time_in_Minutes', 'Public_Transport_Time_in_Minutes', 'Walk_Time_in_Minutes', 'Cycle_Time_in_Minutes'])\n\nCommute_York.head()"}, {"execution_count": 321, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 10 entries, 0 to 9\nData columns (total 5 columns):\nBorough                             10 non-null object\nCar_Time_in_Minutes                 10 non-null object\nPublic_Transport_Time_in_Minutes    10 non-null object\nWalk_Time_in_Minutes                10 non-null object\nCycle_Time_in_Minutes               10 non-null object\ndtypes: object(5)\nmemory usage: 480.0+ bytes\n"}], "source": "Commute_York.info()"}, {"execution_count": 322, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Matplotlib version:  3.0.3\n"}], "source": "%matplotlib inline \n\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\n\nmpl.style.use('ggplot') # optional: for ggplot-like style\n\nprint ('Matplotlib version: ', mpl.__version__)"}, {"execution_count": 324, "cell_type": "code", "metadata": {}, "outputs": [], "source": "index = Commute_York.index\ncolumns = Commute_York.columns\ndata = Commute_York.values"}, {"execution_count": 325, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.indexes.range.RangeIndex'> <class 'pandas.core.indexes.base.Index'> <class 'numpy.ndarray'>\n"}], "source": "print(type(index), type(columns), type(data))"}, {"execution_count": 326, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 326, "metadata": {}, "data": {"text/plain": "True"}, "output_type": "execute_result"}], "source": "issubclass(pd.RangeIndex, pd.Index)"}, {"execution_count": 327, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "[0 1 2 3 4 5 6 7 8 9] ['Borough' 'Car_Time_in_Minutes' 'Public_Transport_Time_in_Minutes'\n 'Walk_Time_in_Minutes' 'Cycle_Time_in_Minutes']\n"}], "source": "print(index.values, columns.values)"}, {"execution_count": 328, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 328, "metadata": {}, "data": {"text/plain": "Borough                             object\nCar_Time_in_Minutes                 object\nPublic_Transport_Time_in_Minutes    object\nWalk_Time_in_Minutes                object\nCycle_Time_in_Minutes               object\ndtype: object"}, "output_type": "execute_result"}], "source": "Commute_York.dtypes"}, {"execution_count": 329, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Tronto_Boroughs= Commute_York['Borough']\nCar = Commute_York['Car_Time_in_Minutes']\nPublic_Transport = Commute_York['Public_Transport_Time_in_Minutes']\nWalk = Commute_York['Walk_Time_in_Minutes']\nCycle = Commute_York['Cycle_Time_in_Minutes']\n#print(Tronto_Boroughs, Car,Public_Transport, Walk, Cycle )"}, {"execution_count": 330, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "471\n458\n400\n"}, {"execution_count": 330, "metadata": {}, "data": {"text/plain": "0     20\n1     80\n2     40\n3     60\n4     60\n5     30\n6    110\n7     40\n8     60\n9     30\nName: Public_Transport_Time_in_Minutes, dtype: object"}, "output_type": "execute_result"}], "source": "s_attr_methods = set(dir(pd.Series))\nprint(len(s_attr_methods))\n\ndf_attr_methods = set(dir(pd.DataFrame))\nprint(len(df_attr_methods))\n\nprint(len(s_attr_methods & df_attr_methods))\n\nPublic_Transport\n"}, {"execution_count": 331, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Commute_York['Public_Transport_Time_in_Minutes'] = Commute_York['Public_Transport_Time_in_Minutes'].astype(np.int64)\nPublic_Transport = Commute_York['Public_Transport_Time_in_Minutes']\n#Public_Transport "}, {"execution_count": 332, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Car = Commute_York['Car_Time_in_Minutes'].astype(np.int64)\nCar\nWalk = Commute_York['Walk_Time_in_Minutes'].astype(np.int64)\nWalk\nCycle = Commute_York['Cycle_Time_in_Minutes'].astype(np.int64)\n#print(Tronto_Boroughs, Car,Public_Transport, Walk, Cycle)"}, {"execution_count": 333, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "display_data", "data": {"image/png": 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"text/plain": "<Figure size 1440x576 with 1 Axes>"}, "metadata": {}}], "source": "ax = Public_Transport.plot(kind='bar', \n    alpha=0.35, \n    figsize=(20, 8), \n    width = 0.8,                 \n    stacked=False )\n\nax.set_title('Destination Fort York Toronto Public Library', fontsize=16)\nax.set_ylabel('Commuting Time, in Minutes', fontsize=14)\nax.set_xlabel('Tronto_Boroughs', fontsize=16)\n\n\nplt.show()"}, {"execution_count": 334, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "display_data", "data": {"image/png": 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\n", "text/plain": "<Figure size 1440x576 with 1 Axes>"}, "metadata": {}}], "source": "ax = Car.plot(kind='bar', \n    alpha=0.35, \n    figsize=(20, 8), \n    width = 0.8,                 \n    stacked=False )\n\nax.set_title('Destination Fort York Toronto Public Library', fontsize=16)\nax.set_ylabel('Driving Time, in Minutes', fontsize=14)\nax.set_xlabel('Tronto_Boroughs', fontsize=16)\n\n\nplt.show()"}, {"execution_count": 335, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "display_data", "data": {"image/png": 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\n", "text/plain": "<Figure size 1440x576 with 1 Axes>"}, "metadata": {}}], "source": "ax = Walk.plot(kind='bar', \n    alpha=0.35, \n    figsize=(20, 8), \n    width = 0.8,                 \n    stacked=False )\n\nax.set_title('Destination Fort York Toronto Public Library', fontsize=16)\nax.set_ylabel('Walk Time, in Minutes', fontsize=14)\nax.set_xlabel('Tronto_Boroughs', fontsize=16)\n\n\nplt.show()"}, {"execution_count": 336, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "display_data", "data": {"image/png": 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"text/plain": "<Figure size 1440x576 with 1 Axes>"}, "metadata": {}}], "source": "ax = Cycle.plot(kind='bar', \n    alpha=0.35, \n    figsize=(20, 8), \n    width = 0.8,                 \n    stacked=False )\n\nax.set_title('Destination Fort York Toronto Public Library', fontsize=16)\nax.set_ylabel('Cycling Time, in Minutes', fontsize=14)\nax.set_xlabel('Tronto_Boroughs', fontsize=16)\n\n\nplt.show()"}, {"execution_count": 337, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "count     10.000000\nmean      53.000000\nstd       27.100635\nmin       20.000000\n25%       32.500000\n50%       50.000000\n75%       60.000000\nmax      110.000000\nName: Public_Transport_Time_in_Minutes, dtype: float64\n0.0     20.0\n0.1     29.0\n0.2     30.0\n0.3     37.0\n0.4     40.0\n0.5     50.0\n0.6     60.0\n0.7     60.0\n0.8     64.0\n0.9     83.0\n1.0    110.0\nName: Public_Transport_Time_in_Minutes, dtype: float64\n\ncount    10.000000\nmean     24.500000\nstd      12.122064\nmin      10.000000\n25%      16.250000\n50%      20.000000\n75%      37.500000\nmax      40.000000\nName: Car_Time_in_Minutes, dtype: float64\n0.0    10.0\n0.1    10.0\n0.2    14.0\n0.3    18.5\n0.4    20.0\n0.5    20.0\n0.6    24.0\n0.7    33.0\n0.8    40.0\n0.9    40.0\n1.0    40.0\nName: Car_Time_in_Minutes, dtype: float64\n\ncount     10.00000\nmean     149.50000\nstd      125.48683\nmin       30.00000\n25%       42.50000\n50%      110.00000\n75%      217.50000\nmax      390.00000\nName: Walk_Time_in_Minutes, dtype: float64\n0.0     30.0\n0.1     34.5\n0.2     39.0\n0.3     47.0\n0.4     80.0\n0.5    110.0\n0.6    156.0\n0.7    213.0\n0.8    236.0\n0.9    309.0\n1.0    390.0\nName: Walk_Time_in_Minutes, dtype: float64\n\ncount     10.000000\nmean      50.000000\nstd       40.207794\nmin       10.000000\n25%       15.000000\n50%       40.000000\n75%       90.000000\nmax      110.000000\nName: Cycle_Time_in_Minutes, dtype: float64\n0.0     10.0\n0.1     10.0\n0.2     14.0\n0.3     15.0\n0.4     30.0\n0.5     40.0\n0.6     48.0\n0.7     72.0\n0.8    100.0\n0.9    101.0\n1.0    110.0\nName: Cycle_Time_in_Minutes, dtype: float64\n\n"}], "source": "print(Public_Transport.describe())\nprint(Public_Transport.quantile([0, .1, .2, .3, .4, .5, .6, .7, .8, .9, 1]))\nprint('')\nprint(Car.describe())\nprint(Car.quantile([0, .1, .2, .3, .4, .5, .6, .7, .8, .9, 1]))\nprint('')\nprint(Walk.describe())\nprint(Walk.quantile([0, .1, .2, .3, .4, .5, .6, .7, .8, .9, 1]))\nprint('')\nprint(Cycle.describe())\nprint(Cycle.quantile([0, .1, .2, .3, .4, .5, .6, .7, .8, .9, 1]))\nprint('')\n"}, {"execution_count": 338, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "On average it will take 61.25 by car.\nOn average it will take 132.5 to commute.\nOn average it will take 373.75 to walk.\nOn average it will take 125.0 to cycle.\nThe client likes to take walk, but within reason ofcourse and is willing to walk or commute for less than 40 minutes.\n"}], "source": "sum_val =  (Car.sum() + Public_Transport.sum() + Walk.sum() + Cycle).sum()\nprint('On average it will take',Car.sum()/4,'by car.')\nprint('On average it will take',Public_Transport.sum()/4,'to commute.')\nprint('On average it will take',Walk.sum()/4,'to walk.')\nprint('On average it will take',Cycle.sum()/4,'to cycle.')\nprint('The client likes to take walk, but within reason ofcourse and is willing to walk or commute for less than 40 minutes.')"}, {"source": "#### So less drop all boroughs that take longer than 30 minutes to get to his workplace.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 339, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 10 entries, 0 to 9\nData columns (total 5 columns):\nBorough                             10 non-null object\nCar_Time_in_Minutes                 10 non-null object\nPublic_Transport_Time_in_Minutes    10 non-null int64\nWalk_Time_in_Minutes                10 non-null object\nCycle_Time_in_Minutes               10 non-null object\ndtypes: int64(1), object(4)\nmemory usage: 480.0+ bytes\n"}], "source": " Commute_York.info()"}, {"execution_count": 340, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Commute_York['Public_Transport'] = Commute_York['Public_Transport_Time_in_Minutes'].astype(np.int64)\n"}, {"execution_count": 341, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Commute_York['Car'] = Commute_York['Car_Time_in_Minutes'].astype(np.int64)\n"}, {"execution_count": 342, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Commute_York['Walk'] = Commute_York['Walk_Time_in_Minutes'].astype(np.int64)\n"}, {"execution_count": 343, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 10 entries, 0 to 9\nData columns (total 9 columns):\nBorough                             10 non-null object\nCar_Time_in_Minutes                 10 non-null object\nPublic_Transport_Time_in_Minutes    10 non-null int64\nWalk_Time_in_Minutes                10 non-null object\nCycle_Time_in_Minutes               10 non-null object\nPublic_Transport                    10 non-null int64\nCar                                 10 non-null int64\nWalk                                10 non-null int64\nCycle                               10 non-null int64\ndtypes: int64(5), object(4)\nmemory usage: 800.0+ bytes\n"}], "source": "Commute_York['Cycle'] = Commute_York['Cycle_Time_in_Minutes'].astype(np.int64)\nCommute_York.info()"}, {"execution_count": 344, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 344, "metadata": {}, "data": {"text/plain": "['Borough',\n 'Car_Time_in_Minutes',\n 'Public_Transport_Time_in_Minutes',\n 'Walk_Time_in_Minutes',\n 'Cycle_Time_in_Minutes',\n 'Public_Transport',\n 'Car',\n 'Walk',\n 'Cycle']"}, "output_type": "execute_result"}], "source": "Commute_York_List = Commute_York.columns.tolist()\nCommute_York_List"}, {"execution_count": 345, "cell_type": "code", "metadata": {}, "outputs": [], "source": "New_Commute_York_List= ['Borough', 'Public_Transport',\n 'Car',\n 'Walk',\n 'Cycle']"}, {"execution_count": 346, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 10 entries, 0 to 9\nData columns (total 5 columns):\nBorough             10 non-null object\nPublic_Transport    10 non-null int64\nCar                 10 non-null int64\nWalk                10 non-null int64\nCycle               10 non-null int64\ndtypes: int64(4), object(1)\nmemory usage: 480.0+ bytes\n"}], "source": "Commute_York = Commute_York[New_Commute_York_List]\nCommute_York.info()"}, {"execution_count": 347, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 347, "metadata": {}, "data": {"text/plain": "0     True\n1    False\n2    False\n3    False\n4    False\n5     True\n6    False\n7    False\n8    False\n9    False\nName: Walk, dtype: bool"}, "output_type": "execute_result"}], "source": "Commute_York['Walk'] < 40"}, {"execution_count": 348, "cell_type": "code", "metadata": {}, "outputs": [], "source": "Commute_York.to_csv('Commute_York.csv')\n"}, {"execution_count": 349, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 349, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Borough</th>\n      <th>Public_Transport</th>\n      <th>Car</th>\n      <th>Walk</th>\n      <th>Cycle</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Downtown_Toronto</td>\n      <td>20</td>\n      <td>10</td>\n      <td>30</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>EastToronto</td>\n      <td>30</td>\n      <td>10</td>\n      <td>35</td>\n      <td>15</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "            Borough  Public_Transport  Car  Walk  Cycle\n0  Downtown_Toronto                20   10    30     10\n5       EastToronto                30   10    35     15"}, "output_type": "execute_result"}], "source": "Commute_York[Commute_York.Walk <40]"}, {"execution_count": 350, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nInt64Index: 2 entries, 0 to 5\nData columns (total 5 columns):\nBorough             2 non-null object\nPublic_Transport    2 non-null int64\nCar                 2 non-null int64\nWalk                2 non-null int64\nCycle               2 non-null int64\ndtypes: int64(4), object(1)\nmemory usage: 96.0+ bytes\n"}], "source": "Commute_York=Commute_York[Commute_York.Walk <40]\nCommute_York.info()"}, {"execution_count": 351, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 351, "metadata": {}, "data": {"text/plain": "['Downtown_Toronto', 'EastToronto']"}, "output_type": "execute_result"}], "source": "to_merge= Commute_York['Borough'].tolist()\nto_merge"}, {"source": "## So we will search for and merge the data from these boroughs to that of the York venues. ", "cell_type": "markdown", "metadata": {}}, {"execution_count": 156, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 156, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>DowntownToronto</td>\n      <td>Adelaide,King,Richmond</td>\n      <td>43.650571</td>\n      <td>-79.384568</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>Scarborough</td>\n      <td>Agincourt</td>\n      <td>43.794200</td>\n      <td>-79.262029</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>Scarborough</td>\n      <td>Agincourt North,L'Amoreaux East,Milliken,Steel...</td>\n      <td>43.815252</td>\n      <td>-79.284577</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>Etobicoke</td>\n      <td>Albion Gardens,Beaumond Heights,Humbergate,Jam...</td>\n      <td>43.739416</td>\n      <td>-79.588437</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>Etobicoke</td>\n      <td>Alderwood,Long Branch</td>\n      <td>43.602414</td>\n      <td>-79.543484</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0          Borough  \\\n0           0  DowntownToronto   \n1           1      Scarborough   \n2           2      Scarborough   \n3           3        Etobicoke   \n4           4        Etobicoke   \n\n                                        Neighborhood   Latitude  Longitude  \n0                             Adelaide,King,Richmond  43.650571 -79.384568  \n1                                          Agincourt  43.794200 -79.262029  \n2  Agincourt North,L'Amoreaux East,Milliken,Steel...  43.815252 -79.284577  \n3  Albion Gardens,Beaumond Heights,Humbergate,Jam...  43.739416 -79.588437  \n4                              Alderwood,Long Branch  43.602414 -79.543484  "}, "output_type": "execute_result"}], "source": "Toronto_merged_data = pd.read_csv(\"T_geoloc.csv\") \n\n# Preview the first 5 lines of the loaded data \nToronto_merged_data.head()"}, {"execution_count": 157, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 157, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>DowntownToronto</td>\n      <td>Adelaide,King,Richmond</td>\n      <td>43.650571</td>\n      <td>-79.384568</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>8</td>\n      <td>DowntownToronto</td>\n      <td>Berczy Park</td>\n      <td>43.644771</td>\n      <td>-79.373306</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14</td>\n      <td>DowntownToronto</td>\n      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n      <td>43.628947</td>\n      <td>-79.394420</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>15</td>\n      <td>DowntownToronto</td>\n      <td>Cabbagetown,St. James Town</td>\n      <td>43.667967</td>\n      <td>-79.367675</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>19</td>\n      <td>DowntownToronto</td>\n      <td>Central Bay Street</td>\n      <td>43.657952</td>\n      <td>-79.387383</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>20</td>\n      <td>DowntownToronto</td>\n      <td>Chinatown,Grange Park,Kensington Market</td>\n      <td>43.653206</td>\n      <td>-79.400049</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>21</td>\n      <td>DowntownToronto</td>\n      <td>Christie</td>\n      <td>43.669542</td>\n      <td>-79.422564</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>22</td>\n      <td>DowntownToronto</td>\n      <td>Church and Wellesley</td>\n      <td>43.665860</td>\n      <td>-79.383160</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>27</td>\n      <td>DowntownToronto</td>\n      <td>Commerce Court,Victoria Hotel</td>\n      <td>43.648198</td>\n      <td>-79.379817</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>32</td>\n      <td>DowntownToronto</td>\n      <td>Design Exchange,Toronto Dominion Centre</td>\n      <td>43.647177</td>\n      <td>-79.381576</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>44</td>\n      <td>DowntownToronto</td>\n      <td>First Canadian Place,Underground city</td>\n      <td>43.648429</td>\n      <td>-79.382280</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>49</td>\n      <td>DowntownToronto</td>\n      <td>Harbord,University of Toronto</td>\n      <td>43.662696</td>\n      <td>-79.400049</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>50</td>\n      <td>DowntownToronto</td>\n      <td>Harbourfront East,Toronto Islands,Union Station</td>\n      <td>43.640816</td>\n      <td>-79.381752</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>51</td>\n      <td>DowntownToronto</td>\n      <td>Harbourfront,Regent Park</td>\n      <td>43.654260</td>\n      <td>-79.360636</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>76</td>\n      <td>DowntownToronto</td>\n      <td>Rosedale</td>\n      <td>43.679563</td>\n      <td>-79.377529</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>80</td>\n      <td>DowntownToronto</td>\n      <td>Ryerson,Garden District</td>\n      <td>43.657162</td>\n      <td>-79.378937</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>83</td>\n      <td>DowntownToronto</td>\n      <td>St. James Town</td>\n      <td>43.651494</td>\n      <td>-79.375418</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>84</td>\n      <td>DowntownToronto</td>\n      <td>Stn A PO Boxes 25 The Esplanade</td>\n      <td>43.646435</td>\n      <td>-79.374846</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "    Unnamed: 0          Borough  \\\n0            0  DowntownToronto   \n1            8  DowntownToronto   \n2           14  DowntownToronto   \n3           15  DowntownToronto   \n4           19  DowntownToronto   \n5           20  DowntownToronto   \n6           21  DowntownToronto   \n7           22  DowntownToronto   \n8           27  DowntownToronto   \n9           32  DowntownToronto   \n10          44  DowntownToronto   \n11          49  DowntownToronto   \n12          50  DowntownToronto   \n13          51  DowntownToronto   \n14          76  DowntownToronto   \n15          80  DowntownToronto   \n16          83  DowntownToronto   \n17          84  DowntownToronto   \n\n                                         Neighborhood   Latitude  Longitude  \n0                              Adelaide,King,Richmond  43.650571 -79.384568  \n1                                         Berczy Park  43.644771 -79.373306  \n2   CN Tower,Bathurst Quay,Island airport,Harbourf...  43.628947 -79.394420  \n3                          Cabbagetown,St. James Town  43.667967 -79.367675  \n4                                  Central Bay Street  43.657952 -79.387383  \n5             Chinatown,Grange Park,Kensington Market  43.653206 -79.400049  \n6                                            Christie  43.669542 -79.422564  \n7                                Church and Wellesley  43.665860 -79.383160  \n8                       Commerce Court,Victoria Hotel  43.648198 -79.379817  \n9             Design Exchange,Toronto Dominion Centre  43.647177 -79.381576  \n10              First Canadian Place,Underground city  43.648429 -79.382280  \n11                      Harbord,University of Toronto  43.662696 -79.400049  \n12    Harbourfront East,Toronto Islands,Union Station  43.640816 -79.381752  \n13                           Harbourfront,Regent Park  43.654260 -79.360636  \n14                                           Rosedale  43.679563 -79.377529  \n15                            Ryerson,Garden District  43.657162 -79.378937  \n16                                     St. James Town  43.651494 -79.375418  \n17                    Stn A PO Boxes 25 The Esplanade  43.646435 -79.374846  "}, "output_type": "execute_result"}], "source": "Downtown_Toronto = Toronto_merged_data[Toronto_merged_data['Borough'] == 'DowntownToronto'].reset_index(drop=True)\nDowntown_Toronto"}, {"execution_count": 158, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 158, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>12</td>\n      <td>EastToronto</td>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n      <td>43.662744</td>\n      <td>-79.321558</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>85</td>\n      <td>EastToronto</td>\n      <td>Studio District</td>\n      <td>43.659526</td>\n      <td>-79.340923</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>87</td>\n      <td>EastToronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>88</td>\n      <td>EastToronto</td>\n      <td>The Beaches West,India Bazaar</td>\n      <td>43.668999</td>\n      <td>-79.315572</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>89</td>\n      <td>EastToronto</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>43.679557</td>\n      <td>-79.352188</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0      Borough                                       Neighborhood  \\\n0          12  EastToronto  Business Reply Mail Processing Centre 969 Eastern   \n1          85  EastToronto                                    Studio District   \n2          87  EastToronto                                        The Beaches   \n3          88  EastToronto                      The Beaches West,India Bazaar   \n4          89  EastToronto                        The Danforth West,Riverdale   \n\n    Latitude  Longitude  \n0  43.662744 -79.321558  \n1  43.659526 -79.340923  \n2  43.676357 -79.293031  \n3  43.668999 -79.315572  \n4  43.679557 -79.352188  "}, "output_type": "execute_result"}], "source": "East_Toronto = Toronto_merged_data[Toronto_merged_data['Borough'] == 'EastToronto'].reset_index(drop=True)\nEast_Toronto"}, {"execution_count": 159, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 159, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>16</td>\n      <td>York</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>31</td>\n      <td>York</td>\n      <td>Del Ray,Keelesdale,Mount Dennis,Silverthorn</td>\n      <td>43.691116</td>\n      <td>-79.476013</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>58</td>\n      <td>York</td>\n      <td>Humewood-Cedarvale</td>\n      <td>43.693781</td>\n      <td>-79.428191</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>90</td>\n      <td>York</td>\n      <td>The Junction North,Runnymede</td>\n      <td>43.673185</td>\n      <td>-79.487262</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>96</td>\n      <td>York</td>\n      <td>Weston</td>\n      <td>43.706876</td>\n      <td>-79.518188</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0 Borough                                 Neighborhood   Latitude  \\\n0          16    York                          Caledonia-Fairbanks  43.689026   \n1          31    York  Del Ray,Keelesdale,Mount Dennis,Silverthorn  43.691116   \n2          58    York                           Humewood-Cedarvale  43.693781   \n3          90    York                 The Junction North,Runnymede  43.673185   \n4          96    York                                       Weston  43.706876   \n\n   Longitude  \n0 -79.453512  \n1 -79.476013  \n2 -79.428191  \n3 -79.487262  \n4 -79.518188  "}, "output_type": "execute_result"}], "source": "York_Toronto = Toronto_merged_data[Toronto_merged_data['Borough'] == 'York'].reset_index(drop=True)\nYork_Toronto"}, {"execution_count": 160, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 160, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>16</td>\n      <td>York</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>31</td>\n      <td>York</td>\n      <td>Del Ray,Keelesdale,Mount Dennis,Silverthorn</td>\n      <td>43.691116</td>\n      <td>-79.476013</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>58</td>\n      <td>York</td>\n      <td>Humewood-Cedarvale</td>\n      <td>43.693781</td>\n      <td>-79.428191</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>90</td>\n      <td>York</td>\n      <td>The Junction North,Runnymede</td>\n      <td>43.673185</td>\n      <td>-79.487262</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>96</td>\n      <td>York</td>\n      <td>Weston</td>\n      <td>43.706876</td>\n      <td>-79.518188</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0</td>\n      <td>DowntownToronto</td>\n      <td>Adelaide,King,Richmond</td>\n      <td>43.650571</td>\n      <td>-79.384568</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>8</td>\n      <td>DowntownToronto</td>\n      <td>Berczy Park</td>\n      <td>43.644771</td>\n      <td>-79.373306</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>14</td>\n      <td>DowntownToronto</td>\n      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n      <td>43.628947</td>\n      <td>-79.394420</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>15</td>\n      <td>DowntownToronto</td>\n      <td>Cabbagetown,St. James Town</td>\n      <td>43.667967</td>\n      <td>-79.367675</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>19</td>\n      <td>DowntownToronto</td>\n      <td>Central Bay Street</td>\n      <td>43.657952</td>\n      <td>-79.387383</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>20</td>\n      <td>DowntownToronto</td>\n      <td>Chinatown,Grange Park,Kensington Market</td>\n      <td>43.653206</td>\n      <td>-79.400049</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>21</td>\n      <td>DowntownToronto</td>\n      <td>Christie</td>\n      <td>43.669542</td>\n      <td>-79.422564</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>22</td>\n      <td>DowntownToronto</td>\n      <td>Church and Wellesley</td>\n      <td>43.665860</td>\n      <td>-79.383160</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>27</td>\n      <td>DowntownToronto</td>\n      <td>Commerce Court,Victoria Hotel</td>\n      <td>43.648198</td>\n      <td>-79.379817</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>32</td>\n      <td>DowntownToronto</td>\n      <td>Design Exchange,Toronto Dominion Centre</td>\n      <td>43.647177</td>\n      <td>-79.381576</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>44</td>\n      <td>DowntownToronto</td>\n      <td>First Canadian Place,Underground city</td>\n      <td>43.648429</td>\n      <td>-79.382280</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>49</td>\n      <td>DowntownToronto</td>\n      <td>Harbord,University of Toronto</td>\n      <td>43.662696</td>\n      <td>-79.400049</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>50</td>\n      <td>DowntownToronto</td>\n      <td>Harbourfront East,Toronto Islands,Union Station</td>\n      <td>43.640816</td>\n      <td>-79.381752</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>51</td>\n      <td>DowntownToronto</td>\n      <td>Harbourfront,Regent Park</td>\n      <td>43.654260</td>\n      <td>-79.360636</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>76</td>\n      <td>DowntownToronto</td>\n      <td>Rosedale</td>\n      <td>43.679563</td>\n      <td>-79.377529</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>80</td>\n      <td>DowntownToronto</td>\n      <td>Ryerson,Garden District</td>\n      <td>43.657162</td>\n      <td>-79.378937</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>83</td>\n      <td>DowntownToronto</td>\n      <td>St. James Town</td>\n      <td>43.651494</td>\n      <td>-79.375418</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>84</td>\n      <td>DowntownToronto</td>\n      <td>Stn A PO Boxes 25 The Esplanade</td>\n      <td>43.646435</td>\n      <td>-79.374846</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>12</td>\n      <td>EastToronto</td>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n      <td>43.662744</td>\n      <td>-79.321558</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>85</td>\n      <td>EastToronto</td>\n      <td>Studio District</td>\n      <td>43.659526</td>\n      <td>-79.340923</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>87</td>\n      <td>EastToronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>88</td>\n      <td>EastToronto</td>\n      <td>The Beaches West,India Bazaar</td>\n      <td>43.668999</td>\n      <td>-79.315572</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>89</td>\n      <td>EastToronto</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>43.679557</td>\n      <td>-79.352188</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "    Unnamed: 0          Borough  \\\n0           16             York   \n1           31             York   \n2           58             York   \n3           90             York   \n4           96             York   \n5            0  DowntownToronto   \n6            8  DowntownToronto   \n7           14  DowntownToronto   \n8           15  DowntownToronto   \n9           19  DowntownToronto   \n10          20  DowntownToronto   \n11          21  DowntownToronto   \n12          22  DowntownToronto   \n13          27  DowntownToronto   \n14          32  DowntownToronto   \n15          44  DowntownToronto   \n16          49  DowntownToronto   \n17          50  DowntownToronto   \n18          51  DowntownToronto   \n19          76  DowntownToronto   \n20          80  DowntownToronto   \n21          83  DowntownToronto   \n22          84  DowntownToronto   \n23          12      EastToronto   \n24          85      EastToronto   \n25          87      EastToronto   \n26          88      EastToronto   \n27          89      EastToronto   \n\n                                         Neighborhood   Latitude  Longitude  \n0                                 Caledonia-Fairbanks  43.689026 -79.453512  \n1         Del Ray,Keelesdale,Mount Dennis,Silverthorn  43.691116 -79.476013  \n2                                  Humewood-Cedarvale  43.693781 -79.428191  \n3                        The Junction North,Runnymede  43.673185 -79.487262  \n4                                              Weston  43.706876 -79.518188  \n5                              Adelaide,King,Richmond  43.650571 -79.384568  \n6                                         Berczy Park  43.644771 -79.373306  \n7   CN Tower,Bathurst Quay,Island airport,Harbourf...  43.628947 -79.394420  \n8                          Cabbagetown,St. James Town  43.667967 -79.367675  \n9                                  Central Bay Street  43.657952 -79.387383  \n10            Chinatown,Grange Park,Kensington Market  43.653206 -79.400049  \n11                                           Christie  43.669542 -79.422564  \n12                               Church and Wellesley  43.665860 -79.383160  \n13                      Commerce Court,Victoria Hotel  43.648198 -79.379817  \n14            Design Exchange,Toronto Dominion Centre  43.647177 -79.381576  \n15              First Canadian Place,Underground city  43.648429 -79.382280  \n16                      Harbord,University of Toronto  43.662696 -79.400049  \n17    Harbourfront East,Toronto Islands,Union Station  43.640816 -79.381752  \n18                           Harbourfront,Regent Park  43.654260 -79.360636  \n19                                           Rosedale  43.679563 -79.377529  \n20                            Ryerson,Garden District  43.657162 -79.378937  \n21                                     St. James Town  43.651494 -79.375418  \n22                    Stn A PO Boxes 25 The Esplanade  43.646435 -79.374846  \n23  Business Reply Mail Processing Centre 969 Eastern  43.662744 -79.321558  \n24                                    Studio District  43.659526 -79.340923  \n25                                        The Beaches  43.676357 -79.293031  \n26                      The Beaches West,India Bazaar  43.668999 -79.315572  \n27                        The Danforth West,Riverdale  43.679557 -79.352188  "}, "output_type": "execute_result"}], "source": "frames = [York_Toronto, Downtown_Toronto, East_Toronto]\nresult = pd.concat(frames, ignore_index=True, sort=False)\n\nresult "}, {"execution_count": 163, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 28 entries, 0 to 27\nData columns (total 5 columns):\nUnnamed: 0      28 non-null int64\nBorough         28 non-null object\nNeighborhood    28 non-null object\nLatitude        28 non-null float64\nLongitude       28 non-null float64\ndtypes: float64(2), int64(1), object(2)\nmemory usage: 1.2+ KB\n"}], "source": "result.info()"}, {"execution_count": 164, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "The merged dataframe has 3 boroughs and 28 neighborhoods.\n"}], "source": "print('The merged dataframe has {} boroughs and {} neighborhoods.'.format(\n        len(result['Borough'].unique()),\n        result.shape[0]\n    )\n)"}, {"execution_count": 165, "cell_type": "code", "metadata": {}, "outputs": [], "source": "result.to_csv('3boroughs.csv')"}, {"source": "### Now let's map the neighbourhoods, then  get their venues:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 166, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Collecting package metadata: done\nSolving environment: / \nThe environment is inconsistent, please check the package plan carefully\nThe following packages are causing the inconsistency:\n\n  - defaults/linux-64::anaconda==5.3.1=py37_0\n  - defaults/linux-64::astropy==3.0.4=py37h14c3975_0\n  - defaults/linux-64::bkcharts==0.2=py37_0\n  - defaults/linux-64::blaze==0.11.3=py37_0\n  - defaults/linux-64::bokeh==0.13.0=py37_0\n  - defaults/linux-64::bottleneck==1.2.1=py37h035aef0_1\n  - defaults/linux-64::dask==0.19.1=py37_0\n  - defaults/linux-64::datashape==0.5.4=py37_1\n  - defaults/linux-64::mkl-service==1.1.2=py37h90e4bf4_5\n  - defaults/linux-64::numba==0.39.0=py37h04863e7_0\n  - defaults/linux-64::numexpr==2.6.8=py37hd89afb7_0\n  - defaults/linux-64::odo==0.5.1=py37_0\n  - defaults/linux-64::pytables==3.4.4=py37ha205bf6_0\n  - defaults/linux-64::pytest-arraydiff==0.2=py37h39e3cac_0\n  - defaults/linux-64::pytest-astropy==0.4.0=py37_0\n  - defaults/linux-64::pytest-doctestplus==0.1.3=py37_0\n  - defaults/linux-64::pywavelets==1.0.0=py37hdd07704_0\n  - defaults/linux-64::scikit-image==0.14.0=py37hf484d3e_1\ndone\n\n# All requested packages already installed.\n\n"}], "source": "!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't completed the Foursquare API lab"}, {"execution_count": 167, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 28 entries, 0 to 27\nData columns (total 5 columns):\nUnnamed: 0      28 non-null int64\nBorough         28 non-null object\nNeighborhood    28 non-null object\nLatitude        28 non-null float64\nLongitude       28 non-null float64\ndtypes: float64(2), int64(1), object(2)\nmemory usage: 1.2+ KB\n"}], "source": "result.info()"}, {"execution_count": 168, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "The geograpical coordinate of York, Toronto are 43.6896191, -79.479188.\n"}], "source": "address = 'York, Toronto'\n\ngeolocator = Nominatim()\nlocation = geolocator.geocode(address)\nlatitude = location.latitude\nlongitude = location.longitude\nprint('The geograpical coordinate of York, Toronto are {}, {}.'.format(latitude, longitude))"}, {"source": "### Map generated with folium blue circle markers:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 169, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# create map of merged latitude and longitude values\nmap_result = folium.Map(location=[latitude, longitude], zoom_start=11)\n\n# add markers to map\nfor lat, lng, label in zip(result['Latitude'], result['Longitude'], result['Neighborhood']):\n    label = folium.Popup(label, parse_html=True)\n    folium.CircleMarker(\n        [lat, lng],\n        radius=5,\n        popup=label,\n        color='blue',\n        fill=True,\n        fill_color='#3186cc',\n        fill_opacity=0.7,\n        parse_html=False).add_to(map_df_merged)  \n    \nmap_result\n\nmap_result.save(\"map_result.html\")\n\n#open map_york_toronto.html in browser\n#if you cannot generate the maps open PGA_map_*.html from the zip file"}, {"source": "### Get Venues with Foursquare:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 170, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "My credentails: ***\n"}], "source": "# The code was removed by Watson Studio for sharing."}, {"execution_count": 171, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 171, "metadata": {}, "data": {"text/plain": "'Caledonia-Fairbanks'"}, "output_type": "execute_result"}], "source": "neighbourhood_name = result.loc[0, 'Neighborhood'] # neighborhood name\nneighbourhood_name"}, {"execution_count": 172, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Latitude and longitude values of the first neighbourhood, Caledonia-Fairbanks are 43.6890256, -79.453512.\n"}], "source": "neighbourhood_latitude = result.loc[0, 'Latitude'] # neighborhood latitude value\nneighbourhood_longitude = result.loc[0, 'Longitude'] # neighborhood longitude value\n\nprint('Latitude and longitude values of the first neighbourhood, {} are {}, {}.'.format(neighbourhood_name, \n                                                               neighbourhood_latitude, \n                                                               neighbourhood_longitude))"}, {"source": "### Now, let's get the top 100 venues that are in Caledonia-Fairbanks within a radius of 500 meters.\n\n- First, let's create the GET request URL. Name your URL url.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 183, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# The code was removed by Watson Studio for sharing."}, {"source": "### your code should look like this:\n\n\nLIMIT = 100\n\nradius = 500 \n\nurl = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n\n    CLIENT_ID, \n\n    CLIENT_SECRET, \n    \n    VERSION, \n    \n    neighbourhood_latitude, \n    \n    neighbourhood_longitude, \n    \n    radius, \n    \n    LIMIT)\n    \nurl    ", "cell_type": "markdown", "metadata": {}}, {"execution_count": 174, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 174, "metadata": {}, "data": {"text/plain": "{'meta': {'code': 200, 'requestId': '5d10f4b2018cbb002c52df44'},\n 'response': {'suggestedFilters': {'header': 'Tap to show:',\n   'filters': [{'name': 'Open now', 'key': 'openNow'}]},\n  'headerLocation': 'Toronto',\n  'headerFullLocation': 'Toronto',\n  'headerLocationGranularity': 'city',\n  'totalResults': 6,\n  'suggestedBounds': {'ne': {'lat': 43.6935256045, 'lng': -79.44730040297749},\n   'sw': {'lat': 43.6845255955, 'lng': -79.45972359702252}},\n  'groups': [{'type': 'Recommended Places',\n    'name': 'recommended',\n    'items': [{'reasons': {'count': 0,\n       'items': [{'summary': 'This spot is popular',\n         'type': 'general',\n         'reasonName': 'globalInteractionReason'}]},\n      'venue': {'id': '4b9ec940f964a520c70137e3',\n       'name': 'Shoppers Drug Mart',\n       'location': {'address': '2343 Eglinton Ave W',\n        'lat': 43.690650720838846,\n        'lng': -79.45631000555339,\n        'labeledLatLngs': [{'label': 'display',\n          'lat': 43.690650720838846,\n          'lng': -79.45631000555339}],\n        'distance': 288,\n        'postalCode': 'M6E 2L6',\n        'cc': 'CA',\n        'city': 'Toronto',\n        'state': 'ON',\n        'country': 'Canada',\n        'formattedAddress': ['2343 Eglinton Ave W',\n         'Toronto ON M6E 2L6',\n         'Canada']},\n       'categories': [{'id': '4bf58dd8d48988d10f951735',\n         'name': 'Pharmacy',\n         'pluralName': 'Pharmacies',\n         'shortName': 'Pharmacy',\n         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/pharmacy_',\n          'suffix': '.png'},\n         'primary': True}],\n       'photos': {'count': 0, 'groups': []}},\n      'referralId': 'e-0-4b9ec940f964a520c70137e3-0'},\n     {'reasons': {'count': 0,\n       'items': [{'summary': 'This spot is popular',\n         'type': 'general',\n         'reasonName': 'globalInteractionReason'}]},\n      'venue': {'id': '4c05742c517d0f472d90f415',\n       'name': 'KFC',\n       'location': {'address': '2296 Eglinton Avenue West',\n        'lat': 43.69064732256945,\n        'lng': -79.456325832418,\n        'labeledLatLngs': [{'label': 'display',\n          'lat': 43.69064732256945,\n          'lng': -79.456325832418}],\n        'distance': 289,\n        'postalCode': 'M6E 2L4',\n        'cc': 'CA',\n        'city': 'Toronto',\n        'state': 'ON',\n        'country': 'Canada',\n        'formattedAddress': ['2296 Eglinton Avenue West',\n         'Toronto ON M6E 2L4',\n         'Canada']},\n       'categories': [{'id': '4bf58dd8d48988d16e941735',\n         'name': 'Fast Food Restaurant',\n         'pluralName': 'Fast Food Restaurants',\n         'shortName': 'Fast Food',\n         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/fastfood_',\n          'suffix': '.png'},\n         'primary': True}],\n       'photos': {'count': 0, 'groups': []}},\n      'referralId': 'e-0-4c05742c517d0f472d90f415-1'},\n     {'reasons': {'count': 0,\n       'items': [{'summary': 'This spot is popular',\n         'type': 'general',\n         'reasonName': 'globalInteractionReason'}]},\n      'venue': {'id': '4eb0ca53be7bb9c3eeace0d6',\n       'name': 'Nairn Park',\n       'location': {'address': 'Nairn Ave',\n        'crossStreet': 'Chudleigh Rd',\n        'lat': 43.69065390931841,\n        'lng': -79.4562995791835,\n        'labeledLatLngs': [{'label': 'display',\n          'lat': 43.69065390931841,\n          'lng': -79.4562995791835}],\n        'distance': 288,\n        'cc': 'CA',\n        'city': 'Toronto',\n        'state': 'ON',\n        'country': 'Canada',\n        'formattedAddress': ['Nairn Ave (Chudleigh Rd)',\n         'Toronto ON',\n         'Canada']},\n       'categories': [{'id': '4bf58dd8d48988d163941735',\n         'name': 'Park',\n         'pluralName': 'Parks',\n         'shortName': 'Park',\n         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n          'suffix': '.png'},\n         'primary': True}],\n       'photos': {'count': 0, 'groups': []}},\n      'referralId': 'e-0-4eb0ca53be7bb9c3eeace0d6-2'},\n     {'reasons': {'count': 0,\n       'items': [{'summary': 'This spot is popular',\n         'type': 'general',\n         'reasonName': 'globalInteractionReason'}]},\n      'venue': {'id': '4c9e50ca2fb1a1435054e940',\n       'name': 'Maximum Woman',\n       'location': {'address': '2120 Eglinton Avenue West',\n        'lat': 43.69065130310669,\n        'lng': -79.45633320240984,\n        'labeledLatLngs': [{'label': 'display',\n          'lat': 43.69065130310669,\n          'lng': -79.45633320240984}],\n        'distance': 290,\n        'postalCode': 'M6E 2K8',\n        'cc': 'CA',\n        'city': 'Toronto',\n        'state': 'ON',\n        'country': 'Canada',\n        'formattedAddress': ['2120 Eglinton Avenue West',\n         'Toronto ON M6E 2K8',\n         'Canada']},\n       'categories': [{'id': '4bf58dd8d48988d108951735',\n         'name': \"Women's Store\",\n         'pluralName': \"Women's Stores\",\n         'shortName': \"Women's Store\",\n         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/apparel_women_',\n          'suffix': '.png'},\n         'primary': True}],\n       'photos': {'count': 0, 'groups': []}},\n      'referralId': 'e-0-4c9e50ca2fb1a1435054e940-3'},\n     {'reasons': {'count': 0,\n       'items': [{'summary': 'This spot is popular',\n         'type': 'general',\n         'reasonName': 'globalInteractionReason'}]},\n      'venue': {'id': '53a0d7fb498ee918a167033a',\n       'name': 'Walmart',\n       'location': {'address': 'Keel Street',\n        'crossStreet': 'Finch Avenue',\n        'lat': 43.690659578356374,\n        'lng': -79.45631672044142,\n        'labeledLatLngs': [{'label': 'display',\n          'lat': 43.690659578356374,\n          'lng': -79.45631672044142}],\n        'distance': 289,\n        'cc': 'CA',\n        'city': 'Toronto',\n        'state': 'ON',\n        'country': 'Canada',\n        'formattedAddress': ['Keel Street (Finch Avenue)',\n         'Toronto ON',\n         'Canada']},\n       'categories': [{'id': '50be8ee891d4fa8dcc7199a7',\n         'name': 'Market',\n         'pluralName': 'Markets',\n         'shortName': 'Market',\n         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/market_',\n          'suffix': '.png'},\n         'primary': True}],\n       'photos': {'count': 0, 'groups': []}},\n      'referralId': 'e-0-53a0d7fb498ee918a167033a-4'},\n     {'reasons': {'count': 0,\n       'items': [{'summary': 'This spot is popular',\n         'type': 'general',\n         'reasonName': 'globalInteractionReason'}]},\n      'venue': {'id': '4b60f788f964a520e4032ae3',\n       'name': 'Fairbank Memorial Park',\n       'location': {'address': '2213 Dufferin Street',\n        'crossStreet': 'btw Gibson St & Keywest Ave',\n        'lat': 43.69202800194052,\n        'lng': -79.44892353333186,\n        'labeledLatLngs': [{'label': 'display',\n          'lat': 43.69202800194052,\n          'lng': -79.44892353333186}],\n        'distance': 498,\n        'cc': 'CA',\n        'city': 'Toronto',\n        'state': 'ON',\n        'country': 'Canada',\n        'formattedAddress': ['2213 Dufferin Street (btw Gibson St & Keywest Ave)',\n         'Toronto ON',\n         'Canada']},\n       'categories': [{'id': '4bf58dd8d48988d163941735',\n         'name': 'Park',\n         'pluralName': 'Parks',\n         'shortName': 'Park',\n         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n          'suffix': '.png'},\n         'primary': True}],\n       'photos': {'count': 0, 'groups': []}},\n      'referralId': 'e-0-4b60f788f964a520e4032ae3-5'}]}]}}"}, "output_type": "execute_result"}], "source": "json_result=requests.get(url).json()\njson_result"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": 175, "cell_type": "code", "metadata": {}, "outputs": [], "source": "# function that extracts the category of the venue\ndef get_category_type(row):\n    try:\n        categories_list = row['categories']\n    except:\n        categories_list = row['venue.categories']\n        \n    if len(categories_list) == 0:\n        return None\n    else:\n        return categories_list[0]['name']"}, {"execution_count": 176, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 176, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>name</th>\n      <th>categories</th>\n      <th>lat</th>\n      <th>lng</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Shoppers Drug Mart</td>\n      <td>Pharmacy</td>\n      <td>43.690651</td>\n      <td>-79.456310</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>KFC</td>\n      <td>Fast Food Restaurant</td>\n      <td>43.690647</td>\n      <td>-79.456326</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Nairn Park</td>\n      <td>Park</td>\n      <td>43.690654</td>\n      <td>-79.456300</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Maximum Woman</td>\n      <td>Women's Store</td>\n      <td>43.690651</td>\n      <td>-79.456333</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Walmart</td>\n      <td>Market</td>\n      <td>43.690660</td>\n      <td>-79.456317</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Fairbank Memorial Park</td>\n      <td>Park</td>\n      <td>43.692028</td>\n      <td>-79.448924</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "                     name            categories        lat        lng\n0      Shoppers Drug Mart              Pharmacy  43.690651 -79.456310\n1                     KFC  Fast Food Restaurant  43.690647 -79.456326\n2              Nairn Park                  Park  43.690654 -79.456300\n3           Maximum Woman         Women's Store  43.690651 -79.456333\n4                 Walmart                Market  43.690660 -79.456317\n5  Fairbank Memorial Park                  Park  43.692028 -79.448924"}, "output_type": "execute_result"}], "source": "results_venues = json_result['response']['groups'][0]['items']\n    \nresults_nearby_venues = json_normalize(results_venues) # flatten JSON\n\n# filter columns\nresults_filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\nresults_nearby_venues = results_nearby_venues.loc[:, results_filtered_columns]\n\n# filter the category for each row\nresults_nearby_venues['venue.categories'] = results_nearby_venues.apply(get_category_type, axis=1)\n\n# clean columns\nresults_nearby_venues.columns = [col.split(\".\")[-1] for col in results_nearby_venues.columns]\n\nresults_nearby_venues"}, {"execution_count": 177, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 6 entries, 0 to 5\nData columns (total 4 columns):\nname          6 non-null object\ncategories    6 non-null object\nlat           6 non-null float64\nlng           6 non-null float64\ndtypes: float64(2), object(2)\nmemory usage: 272.0+ bytes\n"}], "source": "results_nearby_venues.info()"}, {"execution_count": 178, "cell_type": "code", "metadata": {}, "outputs": [], "source": "import csv\nresults_nearby_venues.to_csv('results_nearby_venues.csv')"}, {"execution_count": 179, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "6 venues were returned by Foursquare.\n"}], "source": "\nprint('{} venues were returned by Foursquare.'.format(results_nearby_venues.shape[0]))"}, {"source": "### Explore 3boroughs:\n\n- Let's create a function to repeat the same process to all the neighborhoods close to the clients workplace:", "cell_type": "markdown", "metadata": {}}, {"execution_count": 180, "cell_type": "code", "metadata": {}, "outputs": [], "source": "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n    \n    venues_list=[]\n    for name, lat, lng in zip(names, latitudes, longitudes):\n        print(name)\n            \n        # create the API request URL\n        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n            CLIENT_ID, \n            CLIENT_SECRET, \n            VERSION, \n            lat, \n            lng, \n            radius, \n            LIMIT)\n            \n        # make the GET request\n        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n        \n        # return only relevant information for each nearby venue\n        venues_list.append([(\n            name, \n            lat, \n            lng, \n            v['venue']['name'], \n            v['venue']['location']['lat'], \n            v['venue']['location']['lng'],  \n            v['venue']['categories'][0]['name']) for v in results])\n\n    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n    nearby_venues.columns = ['Neighbourhood', \n                  'Neighbourhood Latitude', \n                  'Neighbourhood Longitude', \n                  'Venue', \n                  'Venue Latitude', \n                  'Venue Longitude', \n                  'Venue Category']\n    \n    return(nearby_venues)"}, {"execution_count": 181, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 28 entries, 0 to 27\nData columns (total 5 columns):\nUnnamed: 0      28 non-null int64\nBorough         28 non-null object\nNeighborhood    28 non-null object\nLatitude        28 non-null float64\nLongitude       28 non-null float64\ndtypes: float64(2), int64(1), object(2)\nmemory usage: 1.2+ KB\n"}], "source": "result.info()"}, {"execution_count": 199, "cell_type": "code", "metadata": {}, "outputs": [], "source": "result_neighborhood = result['Neighborhood']\n#result_neighborhood"}, {"execution_count": 200, "cell_type": "code", "metadata": {}, "outputs": [], "source": "result_lat=result['Latitude']\n#result_lat\n"}, {"execution_count": 203, "cell_type": "code", "metadata": {}, "outputs": [], "source": "\nresult_lng=result['Longitude']\n#result_lng\n\n"}, {"execution_count": 205, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 205, "metadata": {}, "data": {"text/plain": "array(['York', 'DowntownToronto', 'EastToronto'], dtype=object)"}, "output_type": "execute_result"}], "source": "result_borough=result['Borough']\nresult_borough.unique()"}, {"execution_count": 206, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Caledonia-Fairbanks\nDel Ray,Keelesdale,Mount Dennis,Silverthorn\nHumewood-Cedarvale\nThe Junction North,Runnymede\nWeston\nAdelaide,King,Richmond\nBerczy Park\nCN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara\nCabbagetown,St. James Town\nCentral Bay Street\nChinatown,Grange Park,Kensington Market\nChristie\nChurch and Wellesley\nCommerce Court,Victoria Hotel\nDesign Exchange,Toronto Dominion Centre\nFirst Canadian Place,Underground city\nHarbord,University of Toronto\nHarbourfront East,Toronto Islands,Union Station\nHarbourfront,Regent Park\nRosedale\nRyerson,Garden District\nSt. James Town\nStn A PO Boxes 25 The Esplanade\nBusiness Reply Mail Processing Centre 969 Eastern\nStudio District\nThe Beaches\nThe Beaches West,India Bazaar\nThe Danforth West,Riverdale\n"}], "source": "result_3b=getNearbyVenues(names=result['Neighborhood'],\n                                   latitudes=result['Latitude'],\n                                   longitudes=result['Longitude']\n                                  )\n\n"}, {"execution_count": 207, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 207, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Latitude</th>\n      <th>Venue Longitude</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Shoppers Drug Mart</td>\n      <td>43.690651</td>\n      <td>-79.456310</td>\n      <td>Pharmacy</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>KFC</td>\n      <td>43.690647</td>\n      <td>-79.456326</td>\n      <td>Fast Food Restaurant</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Nairn Park</td>\n      <td>43.690654</td>\n      <td>-79.456300</td>\n      <td>Park</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Maximum Woman</td>\n      <td>43.690651</td>\n      <td>-79.456333</td>\n      <td>Women's Store</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Walmart</td>\n      <td>43.690660</td>\n      <td>-79.456317</td>\n      <td>Market</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "         Neighbourhood  Neighbourhood Latitude  Neighbourhood Longitude  \\\n0  Caledonia-Fairbanks               43.689026               -79.453512   \n1  Caledonia-Fairbanks               43.689026               -79.453512   \n2  Caledonia-Fairbanks               43.689026               -79.453512   \n3  Caledonia-Fairbanks               43.689026               -79.453512   \n4  Caledonia-Fairbanks               43.689026               -79.453512   \n\n                Venue  Venue Latitude  Venue Longitude        Venue Category  \n0  Shoppers Drug Mart       43.690651       -79.456310              Pharmacy  \n1                 KFC       43.690647       -79.456326  Fast Food Restaurant  \n2          Nairn Park       43.690654       -79.456300                  Park  \n3       Maximum Woman       43.690651       -79.456333         Women's Store  \n4             Walmart       43.690660       -79.456317                Market  "}, "output_type": "execute_result"}], "source": "result_3b.head()"}, {"execution_count": 208, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 1429 entries, 0 to 1428\nData columns (total 7 columns):\nNeighbourhood              1429 non-null object\nNeighbourhood Latitude     1429 non-null float64\nNeighbourhood Longitude    1429 non-null float64\nVenue                      1429 non-null object\nVenue Latitude             1429 non-null float64\nVenue Longitude            1429 non-null float64\nVenue Category             1429 non-null object\ndtypes: float64(4), object(3)\nmemory usage: 78.2+ KB\n"}], "source": "result_3b.info()"}, {"execution_count": 230, "cell_type": "code", "metadata": {}, "outputs": [], "source": "import csv\nresult_3b.to_csv('3boroughs_venues.csv')\n"}, {"execution_count": 231, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "1429 venues were returned by Foursquare.\n"}], "source": "\nprint('{} venues were returned by Foursquare.'.format(result_3b.shape[0]))"}, {"execution_count": 232, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "There are 222 uniques categories.\n"}], "source": "print('There are {} uniques categories.'.format(len(result_3b['Venue Category'].unique())))"}, {"source": "### Apply one-hot-encoding to the 3boroughs_venues:\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": 292, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 292, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Latitude</th>\n      <th>Venue Longitude</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Shoppers Drug Mart</td>\n      <td>43.690651</td>\n      <td>-79.456310</td>\n      <td>Pharmacy</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>KFC</td>\n      <td>43.690647</td>\n      <td>-79.456326</td>\n      <td>Fast Food Restaurant</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Nairn Park</td>\n      <td>43.690654</td>\n      <td>-79.456300</td>\n      <td>Park</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Maximum Woman</td>\n      <td>43.690651</td>\n      <td>-79.456333</td>\n      <td>Women's Store</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n      <td>Walmart</td>\n      <td>43.690660</td>\n      <td>-79.456317</td>\n      <td>Market</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "         Neighbourhood  Neighbourhood Latitude  Neighbourhood Longitude  \\\n0  Caledonia-Fairbanks               43.689026               -79.453512   \n1  Caledonia-Fairbanks               43.689026               -79.453512   \n2  Caledonia-Fairbanks               43.689026               -79.453512   \n3  Caledonia-Fairbanks               43.689026               -79.453512   \n4  Caledonia-Fairbanks               43.689026               -79.453512   \n\n                Venue  Venue Latitude  Venue Longitude        Venue Category  \n0  Shoppers Drug Mart       43.690651       -79.456310              Pharmacy  \n1                 KFC       43.690647       -79.456326  Fast Food Restaurant  \n2          Nairn Park       43.690654       -79.456300                  Park  \n3       Maximum Woman       43.690651       -79.456333         Women's Store  \n4             Walmart       43.690660       -79.456317                Market  "}, "output_type": "execute_result"}], "source": "#pd.read_csv(\"3boroughs_venues.csv\") \nresult_3b.head()"}, {"execution_count": 293, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 1429 entries, 0 to 1428\nData columns (total 7 columns):\nNeighbourhood              1429 non-null object\nNeighbourhood Latitude     1429 non-null float64\nNeighbourhood Longitude    1429 non-null float64\nVenue                      1429 non-null object\nVenue Latitude             1429 non-null float64\nVenue Longitude            1429 non-null float64\nVenue Category             1429 non-null object\ndtypes: float64(4), object(3)\nmemory usage: 78.2+ KB\n"}], "source": "result_3b.info()"}, {"execution_count": 294, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 294, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>Aquarium</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Auto Workshop</th>\n      <th>BBQ Joint</th>\n      <th>Baby Store</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Stadium</th>\n      <th>Basketball Stadium</th>\n      <th>Beach</th>\n      <th>Bed &amp; Breakfast</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Bistro</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Boutique</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Camera Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Check Cashing Service</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Chocolate Shop</th>\n      <th>Church</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Arts Building</th>\n      <th>College Gym</th>\n      <th>College Rec Center</th>\n      <th>Colombian Restaurant</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Doner Restaurant</th>\n      <th>Donut Shop</th>\n      <th>Dumpling Restaurant</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Ethiopian Restaurant</th>\n      <th>Event Space</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Field</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>German Restaurant</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hockey Arena</th>\n      <th>Hookah Bar</th>\n      <th>Hospital</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Hotpot Restaurant</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Irish Pub</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Jewelry Store</th>\n      <th>Juice Bar</th>\n      <th>Korean Restaurant</th>\n      <th>Lake</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Market</th>\n      <th>Martial Arts Dojo</th>\n      <th>Massage Studio</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Men's Store</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Miscellaneous Shop</th>\n      <th>Modern European Restaurant</th>\n      <th>Molecular Gastronomy Restaurant</th>\n      <th>Monument / Landmark</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Store</th>\n      <th>Music Venue</th>\n      <th>Neighborhood</th>\n      <th>New American Restaurant</th>\n      <th>Nightclub</th>\n      <th>Noodle House</th>\n      <th>Office</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Other Great Outdoors</th>\n      <th>Park</th>\n      <th>Performing Arts Venue</th>\n      <th>Persian Restaurant</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Poke Place</th>\n      <th>Portuguese Restaurant</th>\n      <th>Poutine Place</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Recording Studio</th>\n      <th>Restaurant</th>\n      <th>Sake Bar</th>\n      <th>Salad Place</th>\n      <th>Salon / Barbershop</th>\n      <th>Sandwich Place</th>\n      <th>Scenic Lookout</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Shopping Mall</th>\n      <th>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</th>\n      <th>Tanning Salon</th>\n      <th>Tea Room</th>\n      <th>Tennis Court</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Theme Restaurant</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      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<td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Adult Boutique  Afghan Restaurant  Airport  Airport Food Court  \\\n0               0                  0        0                   0   \n1               0                  0        0                   0   \n2               0                  0        0                   0   \n3               0                  0        0                   0   \n4               0                  0        0                   0   \n\n   Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\n0             0               0                0                 0   \n1             0               0                0                 0   \n2             0               0                0                 0   \n3             0               0                0                 0   \n4             0               0                0                 0   \n\n   American Restaurant  Antique Shop  Aquarium  Art Gallery  Art Museum  \\\n0                    0             0         0            0           0   \n1                    0             0         0            0           0   \n2                    0             0         0            0           0   \n3                    0             0         0            0           0   \n4                    0             0         0            0           0   \n\n   Arts & Crafts Store  Asian Restaurant  Auto Workshop  BBQ Joint  \\\n0                    0                 0              0          0   \n1                    0                 0              0          0   \n2                    0                 0              0          0   \n3                    0                 0              0          0   \n4                    0                 0              0          0   \n\n   Baby Store  Bagel Shop  Bakery  Bank  Bar  Baseball Stadium  \\\n0           0           0       0     0    0                 0   \n1           0           0       0     0    0                 0   \n2           0           0       0     0    0                 0   \n3           0           0       0     0    0                 0   \n4           0           0       0     0    0                 0   \n\n   Basketball Stadium  Beach  Bed & Breakfast  Beer Bar  Beer Store  \\\n0                   0      0                0         0           0   \n1                   0      0                0         0           0   \n2                   0      0                0         0           0   \n3                   0      0                0         0           0   \n4                   0      0                0         0           0   \n\n   Belgian Restaurant  Bistro  Boat or Ferry  Bookstore  Boutique  \\\n0                   0       0              0          0         0   \n1                   0       0              0          0         0   \n2                   0       0              0          0         0   \n3                   0       0              0          0         0   \n4                   0       0              0          0         0   \n\n   Brazilian Restaurant  Breakfast Spot  Brewery  Bubble Tea Shop  \\\n0                     0               0        0                0   \n1                     0               0        0                0   \n2                     0               0        0                0   \n3                     0               0        0                0   \n4                     0               0        0                0   \n\n   Burger Joint  Burrito Place  Bus Line  Butcher  Caf\u00e9  Camera Store  \\\n0             0              0         0        0     0             0   \n1             0              0         0        0     0             0   \n2             0              0         0        0     0             0   \n3             0              0         0        0     0             0   \n4             0              0         0        0     0             0   \n\n   Caribbean Restaurant  Check Cashing Service  Cheese Shop  \\\n0                     0                      0            0   \n1                     0                      0            0   \n2                     0                      0            0   \n3                     0                      0            0   \n4                     0                      0            0   \n\n   Chinese Restaurant  Chocolate Shop  Church  Clothing Store  Cocktail Bar  \\\n0                   0               0       0               0             0   \n1                   0               0       0               0             0   \n2                   0               0       0               0             0   \n3                   0               0       0               0             0   \n4                   0               0       0               0             0   \n\n   Coffee Shop  College Arts Building  College Gym  College Rec Center  \\\n0            0                      0            0                   0   \n1            0                      0            0                   0   \n2            0                      0            0                   0   \n3            0                      0            0                   0   \n4            0                      0            0                   0   \n\n   Colombian Restaurant  Comfort Food Restaurant  Comic Shop  Concert Hall  \\\n0                     0                        0           0             0   \n1                     0                        0           0             0   \n2                     0                        0           0             0   \n3                     0                        0           0             0   \n4                     0                        0           0             0   \n\n   Convenience Store  Cosmetics Shop  Coworking Space  Creperie  Dance Studio  \\\n0                  0               0                0         0             0   \n1                  0               0                0         0             0   \n2                  0               0                0         0             0   \n3                  0               0                0         0             0   \n4                  0               0                0         0             0   \n\n   Deli / Bodega  Department Store  Dessert Shop  Diner  Discount Store  \\\n0              0                 0             0      0               0   \n1              0                 0             0      0               0   \n2              0                 0             0      0               0   \n3              0                 0             0      0               0   \n4              0                 0             0      0               0   \n\n   Dog Run  Doner Restaurant  Donut Shop  Dumpling Restaurant  \\\n0        0                 0           0                    0   \n1        0                 0           0                    0   \n2        0                 0           0                    0   \n3        0                 0           0                    0   \n4        0                 0           0                    0   \n\n   Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n0                            0                  0                     0   \n1                            0                  0                     0   \n2                            0                  0                     0   \n3                            0                  0                     0   \n4                            0                  0                     0   \n\n   Event Space  Falafel Restaurant  Farmers Market  Fast Food Restaurant  \\\n0            0                   0               0                     0   \n1            0                   0               0                     1   \n2            0                   0               0                     0   \n3            0                   0               0                     0   \n4            0                   0               0                     0   \n\n   Field  Filipino Restaurant  Fish & Chips Shop  Fish Market  Flower Shop  \\\n0      0                    0                  0            0            0   \n1      0                    0                  0            0            0   \n2      0                    0                  0            0            0   \n3      0                    0                  0            0            0   \n4      0                    0                  0            0            0   \n\n   Food & Drink Shop  Food Court  Food Truck  Fountain  French Restaurant  \\\n0                  0           0           0         0                  0   \n1                  0           0           0         0                  0   \n2                  0           0           0         0                  0   \n3                  0           0           0         0                  0   \n4                  0           0           0         0                  0   \n\n   Fried Chicken Joint  Fruit & Vegetable Store  Furniture / Home Store  \\\n0                    0                        0                       0   \n1                    0                        0                       0   \n2                    0                        0                       0   \n3                    0                        0                       0   \n4                    0                        0                       0   \n\n   Gaming Cafe  Garden  Garden Center  Gastropub  Gay Bar  \\\n0            0       0              0          0        0   \n1            0       0              0          0        0   \n2            0       0              0          0        0   \n3            0       0              0          0        0   \n4            0       0              0          0        0   \n\n   General Entertainment  General Travel  German Restaurant  Gift Shop  \\\n0                      0               0                  0          0   \n1                      0               0                  0          0   \n2                      0               0                  0          0   \n3                      0               0                  0          0   \n4                      0               0                  0          0   \n\n   Gluten-free Restaurant  Gourmet Shop  Greek Restaurant  Grocery Store  Gym  \\\n0                       0             0                 0              0    0   \n1                       0             0                 0              0    0   \n2                       0             0                 0              0    0   \n3                       0             0                 0              0    0   \n4                       0             0                 0              0    0   \n\n   Gym / Fitness Center  Harbor / Marina  Health & Beauty Service  \\\n0                     0                0                        0   \n1                     0                0                        0   \n2                     0                0                        0   \n3                     0                0                        0   \n4                     0                0                        0   \n\n   Health Food Store  Historic Site  History Museum  Hobby Shop  Hockey Arena  \\\n0                  0              0               0           0             0   \n1                  0              0               0           0             0   \n2                  0              0               0           0             0   \n3                  0              0               0           0             0   \n4                  0              0               0           0             0   \n\n   Hookah Bar  Hospital  Hostel  Hotel  Hotel Bar  Hotpot Restaurant  \\\n0           0         0       0      0          0                  0   \n1           0         0       0      0          0                  0   \n2           0         0       0      0          0                  0   \n3           0         0       0      0          0                  0   \n4           0         0       0      0          0                  0   \n\n   Ice Cream Shop  Indian Restaurant  Irish Pub  Italian Restaurant  \\\n0               0            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      0                   0   \n3                  0     0                          0                   0   \n4                  0     0                          0                   0   \n\n   Lingerie Store  Liquor Store  Lounge  Market  Martial Arts Dojo  \\\n0               0             0       0       0                  0   \n1               0             0       0       0                  0   \n2               0             0       0       0                  0   \n3               0             0       0       0                  0   \n4               0             0       0       1                  0   \n\n   Massage Studio  Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n0               0                         0            0                   0   \n1               0                         0            0                   0   \n2               0                         0            0                   0   \n3               0                         0            0                   0   \n4               0                         0            0                   0   \n\n   Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n0                          0                   0                           0   \n1                          0                   0                           0   \n2                          0                   0                           0   \n3                          0                   0                           0   \n4                          0                   0                           0   \n\n   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n0                                0                    0              0   \n1                                0                    0              0   \n2                                0                    0              0   \n3                                0                    0              0   \n4                                0                    0              0   \n\n   Museum  Music Store  Music Venue  Neighborhood  New American Restaurant  \\\n0       0            0            0             0                        0   \n1       0            0            0             0                        0   \n2       0            0            0             0                        0   \n3       0            0            0             0                        0   \n4       0            0            0             0                        0   \n\n   Nightclub  Noodle House  Office  Opera House  Optical Shop  \\\n0          0             0       0            0             0   \n1          0             0       0            0             0   \n2          0             0       0            0             0   \n3          0             0       0            0             0   \n4          0             0       0            0             0   \n\n   Organic Grocery  Other Great Outdoors  Park  Performing Arts Venue  \\\n0                0                     0     0                      0   \n1                0                     0     0                      0   \n2                0                     0     1                      0   \n3                0                     0     0                      0   \n4                0                     0     0                      0   \n\n   Persian Restaurant  Pet Store  Pharmacy  Pizza Place  Plane  Playground  \\\n0                   0          0         1            0      0           0   \n1                   0          0         0            0      0           0   \n2                   0          0         0            0      0           0   \n3                   0          0         0            0      0           0   \n4                   0          0         0            0      0           0   \n\n   Plaza  Poke Place  Portuguese Restaurant  Poutine Place  Pub  \\\n0      0           0                      0              0    0   \n1      0           0                      0              0    0   \n2      0           0                      0              0    0   \n3      0           0                      0              0    0   \n4      0           0                      0              0    0   \n\n   Ramen Restaurant  Record Shop  Recording Studio  Restaurant  Sake Bar  \\\n0                 0            0                 0           0         0   \n1                 0            0                 0           0         0   \n2                 0            0                 0           0         0   \n3                 0            0                 0           0         0   \n4                 0            0                 0           0         0   \n\n   Salad Place  Salon / Barbershop  Sandwich Place  Scenic Lookout  \\\n0            0                   0               0               0   \n1            0                   0               0               0   \n2            0                   0               0               0   \n3            0                   0               0               0   \n4            0                   0               0               0   \n\n   Sculpture Garden  Seafood Restaurant  Shoe Store  Shopping Mall  \\\n0                 0                   0           0              0   \n1                 0                   0           0              0   \n2                 0                   0           0              0   \n3                 0                   0           0              0   \n4                 0                   0           0              0   \n\n   Skate Park  Skating Rink  Smoke Shop  Smoothie Shop  Snack Place  \\\n0           0             0           0              0            0   \n1           0             0           0              0            0   \n2           0             0           0              0            0   \n3           0             0           0              0            0   \n4           0             0           0              0            0   \n\n   Soup Place  Spa  Speakeasy  Sporting Goods Shop  Sports Bar  \\\n0           0    0          0                    0           0   \n1           0    0          0                    0           0   \n2           0    0          0                    0           0   \n3           0    0          0                    0           0   \n4           0    0          0                    0           0   \n\n   Stationery Store  Steakhouse  Strip Club  Supermarket  Sushi Restaurant  \\\n0                 0           0           0            0                 0   \n1                 0           0           0            0                 0   \n2                 0           0           0            0                 0   \n3                 0           0           0            0                 0   \n4                 0           0           0            0                 0   \n\n   Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\n0           0            0                     0              0         0   \n1           0            0                     0              0         0   \n2           0            0                     0              0         0   \n3           0            0                     0              0         0   \n4           0            0                     0              0         0   \n\n   Tennis Court  Thai Restaurant  Theater  Theme Restaurant  \\\n0             0                0        0                 0   \n1             0                0        0                 0   \n2             0                0        0                 0   \n3             0                0        0                 0   \n4             0                0        0                 0   \n\n   Thrift / Vintage Store  Toy / Game Store  Trail  Train Station  \\\n0                       0                 0      0              0   \n1                       0                 0      0              0   \n2                       0                 0      0              0   \n3                       0                 0      0              0   \n4                       0                 0      0              0   \n\n   Vegetarian / Vegan Restaurant  Video Game Store  Video Store  \\\n0                              0                 0            0   \n1                              0                 0            0   \n2                              0                 0            0   \n3                              0                 0            0   \n4                              0                 0            0   \n\n   Vietnamese Restaurant  Wine Bar  Wings Joint  Women's Store  Yoga Studio  \n0                      0         0            0              0            0  \n1                      0         0            0              0            0  \n2                      0         0            0              0            0  \n3                      0         0            0              1            0  \n4                      0         0            0              0            0  "}, "output_type": "execute_result"}], "source": "# one hot encoding\nresult_3b_onehot = pd.get_dummies(result_3b[['Venue Category']], prefix=\"\", prefix_sep=\"\")\nresult_3b_onehot.head()"}, {"execution_count": 302, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 302, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Yoga Studio</th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>Aquarium</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Auto Workshop</th>\n      <th>BBQ Joint</th>\n      <th>Baby Store</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Stadium</th>\n      <th>Basketball Stadium</th>\n      <th>Beach</th>\n      <th>Bed &amp; Breakfast</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Bistro</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Boutique</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Camera Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Check Cashing Service</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Chocolate Shop</th>\n      <th>Church</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Arts Building</th>\n      <th>College Gym</th>\n      <th>College Rec Center</th>\n      <th>Colombian Restaurant</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Doner Restaurant</th>\n      <th>Donut Shop</th>\n      <th>Dumpling Restaurant</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Ethiopian Restaurant</th>\n      <th>Event Space</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Field</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>German Restaurant</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hockey Arena</th>\n      <th>Hookah Bar</th>\n      <th>Hospital</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Hotpot Restaurant</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Irish Pub</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Jewelry Store</th>\n      <th>Juice Bar</th>\n      <th>Korean Restaurant</th>\n      <th>Lake</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Market</th>\n      <th>Martial Arts Dojo</th>\n      <th>Massage Studio</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Men's Store</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Miscellaneous Shop</th>\n      <th>Modern European Restaurant</th>\n      <th>Molecular Gastronomy Restaurant</th>\n      <th>Monument / Landmark</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Store</th>\n      <th>Music Venue</th>\n      <th>Neighborhood</th>\n      <th>New American Restaurant</th>\n      <th>Nightclub</th>\n      <th>Noodle House</th>\n      <th>Office</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Other Great Outdoors</th>\n      <th>Park</th>\n      <th>Performing Arts Venue</th>\n      <th>Persian Restaurant</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Poke Place</th>\n      <th>Portuguese Restaurant</th>\n      <th>Poutine Place</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Recording Studio</th>\n      <th>Restaurant</th>\n      <th>Sake Bar</th>\n      <th>Salad Place</th>\n      <th>Salon / Barbershop</th>\n      <th>Sandwich Place</th>\n      <th>Scenic Lookout</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Shopping Mall</th>\n      <th>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</th>\n      <th>Tanning Salon</th>\n      <th>Tea Room</th>\n      <th>Tennis Court</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Theme Restaurant</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Yoga Studio  Adult Boutique  Afghan Restaurant  Airport  \\\n0            0               0                  0        0   \n1            0               0                  0        0   \n2            0               0                  0        0   \n3            0               0                  0        0   \n4            0               0                  0        0   \n\n   Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\n0                   0             0               0                0   \n1                   0             0               0                0   \n2                   0             0               0                0   \n3                   0             0               0                0   \n4                   0             0               0                0   \n\n   Airport Terminal  American Restaurant  Antique Shop  Aquarium  Art Gallery  \\\n0                 0                    0             0         0            0   \n1                 0                    0             0         0            0   \n2                 0                    0             0         0            0   \n3                 0                    0             0         0            0   \n4                 0                    0             0         0            0   \n\n   Art Museum  Arts & Crafts Store  Asian Restaurant  Auto Workshop  \\\n0           0                    0                 0              0   \n1           0                    0                 0              0   \n2           0                    0                 0              0   \n3           0                    0                 0              0   \n4           0                    0                 0              0   \n\n   BBQ Joint  Baby Store  Bagel Shop  Bakery  Bank  Bar  Baseball Stadium  \\\n0          0           0           0       0     0    0                 0   \n1          0           0           0       0     0    0                 0   \n2          0           0           0       0     0    0                 0   \n3          0           0           0       0     0    0                 0   \n4          0           0           0       0     0    0                 0   \n\n   Basketball Stadium  Beach  Bed & Breakfast  Beer Bar  Beer Store  \\\n0                   0      0                0         0           0   \n1                   0      0                0         0           0   \n2                   0      0                0         0           0   \n3                   0      0                0         0           0   \n4                   0      0                0         0           0   \n\n   Belgian Restaurant  Bistro  Boat or Ferry  Bookstore  Boutique  \\\n0                   0       0              0          0         0   \n1                   0       0              0          0         0   \n2                   0       0              0          0         0   \n3                   0       0              0          0         0   \n4                   0       0              0          0         0   \n\n   Brazilian Restaurant  Breakfast Spot  Brewery  Bubble Tea Shop  \\\n0                     0               0        0                0   \n1                     0               0        0                0   \n2                     0               0        0                0   \n3                     0               0        0                0   \n4                     0               0        0                0   \n\n   Burger Joint  Burrito Place  Bus Line  Butcher  Caf\u00e9  Camera Store  \\\n0             0              0         0        0     0             0   \n1             0              0         0        0     0             0   \n2             0              0         0        0     0             0   \n3             0              0         0        0     0             0   \n4             0              0         0        0     0             0   \n\n   Caribbean Restaurant  Check Cashing Service  Cheese Shop  \\\n0                     0                      0            0   \n1                     0                      0            0   \n2                     0                      0            0   \n3                     0                      0            0   \n4                     0                      0            0   \n\n   Chinese Restaurant  Chocolate Shop  Church  Clothing Store  Cocktail Bar  \\\n0                   0               0       0               0             0   \n1                   0               0       0               0             0   \n2                   0               0       0               0             0   \n3                   0               0       0               0             0   \n4                   0               0       0               0             0   \n\n   Coffee Shop  College Arts Building  College Gym  College Rec Center  \\\n0            0                      0            0                   0   \n1            0                      0            0                   0   \n2            0                      0            0                   0   \n3            0                      0            0                   0   \n4            0                      0            0                   0   \n\n   Colombian Restaurant  Comfort Food Restaurant  Comic Shop  Concert Hall  \\\n0                     0                        0           0             0   \n1                     0                        0           0             0   \n2                     0                        0           0             0   \n3                     0                        0           0             0   \n4                     0                        0           0             0   \n\n   Convenience Store  Cosmetics Shop  Coworking Space  Creperie  Dance Studio  \\\n0                  0               0                0         0             0   \n1                  0               0                0         0             0   \n2                  0               0                0         0             0   \n3                  0               0                0         0             0   \n4                  0               0                0         0             0   \n\n   Deli / Bodega  Department Store  Dessert Shop  Diner  Discount Store  \\\n0              0                 0             0      0               0   \n1              0                 0             0      0               0   \n2              0                 0             0      0               0   \n3              0                 0             0      0               0   \n4              0                 0             0      0               0   \n\n   Dog Run  Doner Restaurant  Donut Shop  Dumpling Restaurant  \\\n0        0                 0           0                    0   \n1        0                 0           0                    0   \n2        0                 0           0                    0   \n3        0                 0           0                    0   \n4        0                 0           0                    0   \n\n   Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n0                            0                  0                     0   \n1                            0                  0                     0   \n2                            0                  0                     0   \n3                            0                  0                     0   \n4                            0                  0                     0   \n\n   Event Space  Falafel Restaurant  Farmers Market  Fast Food Restaurant  \\\n0            0                   0               0                     0   \n1            0                   0               0                     1   \n2            0                   0               0                     0   \n3            0                   0               0                     0   \n4            0                   0               0                     0   \n\n   Field  Filipino Restaurant  Fish & Chips Shop  Fish Market  Flower Shop  \\\n0      0                    0                  0            0            0   \n1      0                    0                  0            0            0   \n2      0                    0                  0            0            0   \n3      0                    0                  0            0            0   \n4      0                    0                  0            0            0   \n\n   Food & Drink Shop  Food Court  Food Truck  Fountain  French Restaurant  \\\n0                  0           0           0         0                  0   \n1                  0           0           0         0                  0   \n2                  0           0           0         0                  0   \n3                  0           0           0         0                  0   \n4                  0           0           0         0                  0   \n\n   Fried Chicken Joint  Fruit & Vegetable Store  Furniture / Home Store  \\\n0                    0                        0                       0   \n1                    0                        0                       0   \n2                    0                        0                       0   \n3                    0                        0                       0   \n4                    0                        0                       0   \n\n   Gaming Cafe  Garden  Garden Center  Gastropub  Gay Bar  \\\n0            0       0              0          0        0   \n1            0       0              0          0        0   \n2            0       0              0          0        0   \n3            0       0              0          0        0   \n4            0       0              0          0        0   \n\n   General Entertainment  General Travel  German Restaurant  Gift Shop  \\\n0                      0               0                  0          0   \n1                      0               0                  0          0   \n2                      0               0                  0          0   \n3                      0               0                  0          0   \n4                      0               0                  0          0   \n\n   Gluten-free Restaurant  Gourmet Shop  Greek Restaurant  Grocery Store  Gym  \\\n0                       0             0                 0              0    0   \n1                       0             0                 0              0    0   \n2                       0             0                 0              0    0   \n3                       0             0                 0              0    0   \n4                       0             0                 0              0    0   \n\n   Gym / Fitness Center  Harbor / Marina  Health & Beauty Service  \\\n0                     0                0                        0   \n1                     0                0                        0   \n2                     0                0                        0   \n3                     0                0                        0   \n4                     0                0                        0   \n\n   Health Food Store  Historic Site  History Museum  Hobby Shop  Hockey Arena  \\\n0                  0              0               0           0             0   \n1                  0              0               0           0             0   \n2                  0              0               0           0             0   \n3                  0              0               0           0             0   \n4                  0              0               0           0             0   \n\n   Hookah Bar  Hospital  Hostel  Hotel  Hotel Bar  Hotpot Restaurant  \\\n0           0         0       0      0          0                  0   \n1           0         0       0      0          0                  0   \n2           0         0       0      0          0                  0   \n3           0         0       0      0          0                  0   \n4           0         0       0      0          0                  0   \n\n   Ice Cream Shop  Indian Restaurant  Irish Pub  Italian Restaurant  \\\n0               0                  0          0                   0   \n1               0                  0          0                   0   \n2               0                  0          0                   0   \n3               0                  0          0                   0   \n4               0                  0          0                   0   \n\n   Japanese Restaurant  Jazz Club  Jewelry Store  Juice Bar  \\\n0                    0          0              0          0   \n1                    0          0              0          0   \n2                    0          0              0          0   \n3                    0          0              0          0   \n4                    0          0              0          0   \n\n   Korean Restaurant  Lake  Latin American Restaurant  Light Rail Station  \\\n0                  0     0                          0                   0   \n1                  0     0                          0                   0   \n2                  0     0                          0                   0   \n3                  0     0                          0                   0   \n4                  0     0                          0                   0   \n\n   Lingerie Store  Liquor Store  Lounge  Market  Martial Arts Dojo  \\\n0               0             0       0       0                  0   \n1               0             0       0       0                  0   \n2               0             0       0       0                  0   \n3               0             0       0       0                  0   \n4               0             0       0       1                  0   \n\n   Massage Studio  Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n0               0                         0            0                   0   \n1               0                         0            0                   0   \n2               0                         0            0                   0   \n3               0                         0            0                   0   \n4               0                         0            0                   0   \n\n   Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n0                          0                   0                           0   \n1                          0                   0                           0   \n2                          0                   0                           0   \n3                          0                   0                           0   \n4                          0                   0                           0   \n\n   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n0                                0                    0              0   \n1                                0                    0              0   \n2                                0                    0              0   \n3                                0                    0              0   \n4                                0                    0              0   \n\n   Museum  Music Store  Music Venue         Neighborhood  \\\n0       0            0            0  Caledonia-Fairbanks   \n1       0            0            0  Caledonia-Fairbanks   \n2       0            0            0  Caledonia-Fairbanks   \n3       0            0            0  Caledonia-Fairbanks   \n4       0            0            0  Caledonia-Fairbanks   \n\n   New American Restaurant  Nightclub  Noodle House  Office  Opera House  \\\n0                        0          0             0       0            0   \n1                        0          0             0       0            0   \n2                        0          0             0       0            0   \n3                        0          0             0       0            0   \n4                        0          0             0       0            0   \n\n   Optical Shop  Organic Grocery  Other Great Outdoors  Park  \\\n0             0                0                     0     0   \n1             0                0                     0     0   \n2             0                0                     0     1   \n3             0                0                     0     0   \n4             0                0                     0     0   \n\n   Performing Arts Venue  Persian Restaurant  Pet Store  Pharmacy  \\\n0                      0                   0          0         1   \n1                      0                   0          0         0   \n2                      0                   0          0         0   \n3                      0                   0          0         0   \n4                      0                   0          0         0   \n\n   Pizza Place  Plane  Playground  Plaza  Poke Place  Portuguese Restaurant  \\\n0            0      0           0      0           0                      0   \n1            0      0           0      0           0                      0   \n2            0      0           0      0           0                      0   \n3            0      0           0      0           0                      0   \n4            0      0           0      0           0                      0   \n\n   Poutine Place  Pub  Ramen Restaurant  Record Shop  Recording Studio  \\\n0              0    0                 0            0                 0   \n1              0    0                 0            0                 0   \n2              0    0                 0            0                 0   \n3              0    0                 0            0                 0   \n4              0    0                 0            0                 0   \n\n   Restaurant  Sake Bar  Salad Place  Salon / Barbershop  Sandwich Place  \\\n0           0         0            0                   0               0   \n1           0         0            0                   0               0   \n2           0         0            0                   0               0   \n3           0         0            0                   0               0   \n4           0         0            0                   0               0   \n\n   Scenic Lookout  Sculpture Garden  Seafood Restaurant  Shoe Store  \\\n0               0                 0                   0           0   \n1               0                 0                   0           0   \n2               0                 0                   0           0   \n3               0                 0                   0           0   \n4               0                 0                   0           0   \n\n   Shopping Mall  Skate Park  Skating Rink  Smoke Shop  Smoothie Shop  \\\n0              0           0             0           0              0   \n1              0           0             0           0              0   \n2              0           0             0           0              0   \n3              0           0             0           0              0   \n4              0           0             0           0              0   \n\n   Snack Place  Soup Place  Spa  Speakeasy  Sporting Goods Shop  Sports Bar  \\\n0            0           0    0          0                    0           0   \n1            0           0    0          0                    0           0   \n2            0           0    0          0                    0           0   \n3            0           0    0          0                    0           0   \n4            0           0    0          0                    0           0   \n\n   Stationery Store  Steakhouse  Strip Club  Supermarket  Sushi Restaurant  \\\n0                 0           0           0            0                 0   \n1                 0           0           0            0                 0   \n2                 0           0           0            0                 0   \n3                 0           0           0            0                 0   \n4                 0           0           0            0                 0   \n\n   Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\n0           0            0                     0              0         0   \n1           0            0                     0              0         0   \n2           0            0                     0              0         0   \n3           0            0                     0              0         0   \n4           0            0                     0              0         0   \n\n   Tennis Court  Thai Restaurant  Theater  Theme Restaurant  \\\n0             0                0        0                 0   \n1             0                0        0                 0   \n2             0                0        0                 0   \n3             0                0        0                 0   \n4             0                0        0                 0   \n\n   Thrift / Vintage Store  Toy / Game Store  Trail  Train Station  \\\n0                       0                 0      0              0   \n1                       0                 0      0              0   \n2                       0                 0      0              0   \n3                       0                 0      0              0   \n4                       0                 0      0              0   \n\n   Vegetarian / Vegan Restaurant  Video Game Store  Video Store  \\\n0                              0                 0            0   \n1                              0                 0            0   \n2                              0                 0            0   \n3                              0                 0            0   \n4                              0                 0            0   \n\n   Vietnamese Restaurant  Wine Bar  Wings Joint  Women's Store  \n0                      0         0            0              0  \n1                      0         0            0              0  \n2                      0         0            0              0  \n3                      0         0            0              1  \n4                      0         0            0              0  "}, "output_type": "execute_result"}], "source": "# add neighborhood column back to dataframe\nresult_3b_onehot['Neighborhood'] = result_3b['Neighbourhood'] \nresult_3b_onehot.head()"}, {"execution_count": 303, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 1429 entries, 0 to 1428\nColumns: 222 entries, Yoga Studio to Women's Store\ndtypes: object(1), uint8(221)\nmemory usage: 319.6+ KB\n"}], "source": "result_3b_onehot.info()"}, {"execution_count": 304, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 304, "metadata": {}, "data": {"text/plain": "[\"Women's Store\",\n 'Yoga Studio',\n 'Adult Boutique',\n 'Afghan Restaurant',\n 'Airport',\n 'Airport Food Court',\n 'Airport Gate',\n 'Airport Lounge',\n 'Airport Service',\n 'Airport Terminal',\n 'American Restaurant',\n 'Antique Shop',\n 'Aquarium',\n 'Art Gallery',\n 'Art Museum',\n 'Arts & Crafts Store',\n 'Asian Restaurant',\n 'Auto Workshop',\n 'BBQ Joint',\n 'Baby Store',\n 'Bagel Shop',\n 'Bakery',\n 'Bank',\n 'Bar',\n 'Baseball Stadium',\n 'Basketball Stadium',\n 'Beach',\n 'Bed & Breakfast',\n 'Beer Bar',\n 'Beer Store',\n 'Belgian Restaurant',\n 'Bistro',\n 'Boat or Ferry',\n 'Bookstore',\n 'Boutique',\n 'Brazilian Restaurant',\n 'Breakfast Spot',\n 'Brewery',\n 'Bubble Tea Shop',\n 'Burger Joint',\n 'Burrito Place',\n 'Bus Line',\n 'Butcher',\n 'Caf\u00e9',\n 'Camera Store',\n 'Caribbean Restaurant',\n 'Check Cashing Service',\n 'Cheese Shop',\n 'Chinese Restaurant',\n 'Chocolate Shop',\n 'Church',\n 'Clothing Store',\n 'Cocktail Bar',\n 'Coffee Shop',\n 'College Arts Building',\n 'College Gym',\n 'College Rec Center',\n 'Colombian Restaurant',\n 'Comfort Food Restaurant',\n 'Comic Shop',\n 'Concert Hall',\n 'Convenience Store',\n 'Cosmetics Shop',\n 'Coworking Space',\n 'Creperie',\n 'Dance Studio',\n 'Deli / Bodega',\n 'Department Store',\n 'Dessert Shop',\n 'Diner',\n 'Discount Store',\n 'Dog Run',\n 'Doner Restaurant',\n 'Donut Shop',\n 'Dumpling Restaurant',\n 'Eastern European Restaurant',\n 'Electronics Store',\n 'Ethiopian Restaurant',\n 'Event Space',\n 'Falafel Restaurant',\n 'Farmers Market',\n 'Fast Food Restaurant',\n 'Field',\n 'Filipino Restaurant',\n 'Fish & Chips Shop',\n 'Fish Market',\n 'Flower Shop',\n 'Food & Drink Shop',\n 'Food Court',\n 'Food Truck',\n 'Fountain',\n 'French Restaurant',\n 'Fried Chicken Joint',\n 'Fruit & Vegetable Store',\n 'Furniture / Home Store',\n 'Gaming Cafe',\n 'Garden',\n 'Garden Center',\n 'Gastropub',\n 'Gay Bar',\n 'General Entertainment',\n 'General Travel',\n 'German Restaurant',\n 'Gift Shop',\n 'Gluten-free Restaurant',\n 'Gourmet Shop',\n 'Greek Restaurant',\n 'Grocery Store',\n 'Gym',\n 'Gym / Fitness Center',\n 'Harbor / Marina',\n 'Health & Beauty Service',\n 'Health Food Store',\n 'Historic Site',\n 'History Museum',\n 'Hobby Shop',\n 'Hockey Arena',\n 'Hookah Bar',\n 'Hospital',\n 'Hostel',\n 'Hotel',\n 'Hotel Bar',\n 'Hotpot Restaurant',\n 'Ice Cream Shop',\n 'Indian Restaurant',\n 'Irish Pub',\n 'Italian Restaurant',\n 'Japanese Restaurant',\n 'Jazz Club',\n 'Jewelry Store',\n 'Juice Bar',\n 'Korean Restaurant',\n 'Lake',\n 'Latin American Restaurant',\n 'Light Rail Station',\n 'Lingerie Store',\n 'Liquor Store',\n 'Lounge',\n 'Market',\n 'Martial Arts Dojo',\n 'Massage Studio',\n 'Mediterranean Restaurant',\n \"Men's Store\",\n 'Mexican Restaurant',\n 'Middle Eastern Restaurant',\n 'Miscellaneous Shop',\n 'Modern European Restaurant',\n 'Molecular Gastronomy Restaurant',\n 'Monument / Landmark',\n 'Movie Theater',\n 'Museum',\n 'Music Store',\n 'Music Venue',\n 'Neighborhood',\n 'New American Restaurant',\n 'Nightclub',\n 'Noodle House',\n 'Office',\n 'Opera House',\n 'Optical Shop',\n 'Organic Grocery',\n 'Other Great Outdoors',\n 'Park',\n 'Performing Arts Venue',\n 'Persian Restaurant',\n 'Pet Store',\n 'Pharmacy',\n 'Pizza Place',\n 'Plane',\n 'Playground',\n 'Plaza',\n 'Poke Place',\n 'Portuguese Restaurant',\n 'Poutine Place',\n 'Pub',\n 'Ramen Restaurant',\n 'Record Shop',\n 'Recording Studio',\n 'Restaurant',\n 'Sake Bar',\n 'Salad Place',\n 'Salon / Barbershop',\n 'Sandwich Place',\n 'Scenic Lookout',\n 'Sculpture Garden',\n 'Seafood Restaurant',\n 'Shoe Store',\n 'Shopping Mall',\n 'Skate Park',\n 'Skating Rink',\n 'Smoke Shop',\n 'Smoothie Shop',\n 'Snack Place',\n 'Soup Place',\n 'Spa',\n 'Speakeasy',\n 'Sporting Goods Shop',\n 'Sports Bar',\n 'Stationery Store',\n 'Steakhouse',\n 'Strip Club',\n 'Supermarket',\n 'Sushi Restaurant',\n 'Taco Place',\n 'Tailor Shop',\n 'Taiwanese Restaurant',\n 'Tanning Salon',\n 'Tea Room',\n 'Tennis Court',\n 'Thai Restaurant',\n 'Theater',\n 'Theme Restaurant',\n 'Thrift / Vintage Store',\n 'Toy / Game Store',\n 'Trail',\n 'Train Station',\n 'Vegetarian / Vegan Restaurant',\n 'Video Game Store',\n 'Video Store',\n 'Vietnamese Restaurant',\n 'Wine Bar',\n 'Wings Joint']"}, "output_type": "execute_result"}], "source": "# move neighborhood column to the first column\nresult_3b_fixed_columns = [result_3b_onehot.columns[-1]] + list(result_3b_onehot.columns[:-1])\nresult_3b_fixed_columns"}, {"execution_count": 305, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 305, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>Aquarium</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Auto Workshop</th>\n      <th>BBQ Joint</th>\n      <th>Baby Store</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Stadium</th>\n      <th>Basketball Stadium</th>\n      <th>Beach</th>\n      <th>Bed &amp; Breakfast</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Bistro</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Boutique</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Camera Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Check Cashing Service</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Chocolate Shop</th>\n      <th>Church</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Arts Building</th>\n      <th>College Gym</th>\n      <th>College Rec Center</th>\n      <th>Colombian Restaurant</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Doner Restaurant</th>\n      <th>Donut Shop</th>\n      <th>Dumpling Restaurant</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Ethiopian Restaurant</th>\n      <th>Event Space</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Field</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>German Restaurant</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hockey Arena</th>\n      <th>Hookah Bar</th>\n      <th>Hospital</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Hotpot Restaurant</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Irish Pub</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Jewelry Store</th>\n      <th>Juice Bar</th>\n      <th>Korean Restaurant</th>\n      <th>Lake</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Market</th>\n      <th>Martial Arts Dojo</th>\n      <th>Massage Studio</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Men's Store</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Miscellaneous Shop</th>\n      <th>Modern European Restaurant</th>\n      <th>Molecular Gastronomy Restaurant</th>\n      <th>Monument / Landmark</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Store</th>\n      <th>Music Venue</th>\n      <th>Neighborhood</th>\n      <th>New American Restaurant</th>\n      <th>Nightclub</th>\n      <th>Noodle House</th>\n      <th>Office</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Other Great Outdoors</th>\n      <th>Park</th>\n      <th>Performing Arts Venue</th>\n      <th>Persian Restaurant</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Poke Place</th>\n      <th>Portuguese Restaurant</th>\n      <th>Poutine Place</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Recording Studio</th>\n      <th>Restaurant</th>\n      <th>Sake Bar</th>\n      <th>Salad Place</th>\n      <th>Salon / Barbershop</th>\n      <th>Sandwich Place</th>\n      <th>Scenic Lookout</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Shopping Mall</th>\n      <th>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</th>\n      <th>Tanning Salon</th>\n      <th>Tea Room</th>\n      <th>Tennis Court</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Theme Restaurant</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Women's Store  Yoga Studio  Adult Boutique  Afghan Restaurant  Airport  \\\n0              0            0               0                  0        0   \n1              0            0               0                  0        0   \n2              0            0               0                  0        0   \n3              1            0               0                  0        0   \n4              0            0               0                  0        0   \n\n   Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\n0                   0             0               0                0   \n1                   0             0               0                0   \n2                   0             0               0                0   \n3                   0             0               0                0   \n4                   0             0               0                0   \n\n   Airport Terminal  American Restaurant  Antique Shop  Aquarium  Art Gallery  \\\n0                 0                    0             0         0            0   \n1                 0                    0             0         0            0   \n2                 0                    0             0         0            0   \n3                 0                    0             0         0            0   \n4                 0                    0             0         0            0   \n\n   Art Museum  Arts & Crafts Store  Asian Restaurant  Auto Workshop  \\\n0           0                    0                 0              0   \n1           0                    0                 0              0   \n2           0                    0                 0              0   \n3           0                    0                 0              0   \n4           0                    0                 0              0   \n\n   BBQ Joint  Baby Store  Bagel Shop  Bakery  Bank  Bar  Baseball Stadium  \\\n0          0           0           0       0     0    0                 0   \n1          0           0           0       0     0    0                 0   \n2          0           0           0       0     0    0                 0   \n3          0           0           0       0     0    0                 0   \n4          0           0           0       0     0    0                 0   \n\n   Basketball Stadium  Beach  Bed & Breakfast  Beer Bar  Beer Store  \\\n0                   0      0                0         0           0   \n1                   0      0                0         0           0   \n2                   0      0                0         0           0   \n3                   0      0                0         0           0   \n4                   0      0                0         0           0   \n\n   Belgian Restaurant  Bistro  Boat or Ferry  Bookstore  Boutique  \\\n0                   0       0              0          0         0   \n1                   0       0              0          0         0   \n2                   0       0              0          0         0   \n3                   0       0              0          0         0   \n4                   0       0              0          0         0   \n\n   Brazilian Restaurant  Breakfast Spot  Brewery  Bubble Tea Shop  \\\n0                     0               0        0                0   \n1                     0               0        0                0   \n2                     0               0        0                0   \n3                     0               0        0                0   \n4                     0               0        0                0   \n\n   Burger Joint  Burrito Place  Bus Line  Butcher  Caf\u00e9  Camera Store  \\\n0             0              0         0        0     0             0   \n1             0              0         0        0     0             0   \n2             0              0         0        0     0             0   \n3             0              0         0        0     0             0   \n4             0              0         0        0     0             0   \n\n   Caribbean Restaurant  Check Cashing Service  Cheese Shop  \\\n0                     0                      0            0   \n1                     0                      0            0   \n2                     0                      0            0   \n3                     0                      0            0   \n4                     0                      0            0   \n\n   Chinese Restaurant  Chocolate Shop  Church  Clothing Store  Cocktail Bar  \\\n0                   0               0       0               0             0   \n1                   0               0       0               0             0   \n2                   0               0       0               0             0   \n3                   0               0       0               0             0   \n4                   0               0       0               0             0   \n\n   Coffee Shop  College Arts Building  College Gym  College Rec Center  \\\n0            0                      0            0                   0   \n1            0                      0            0                   0   \n2            0                      0            0                   0   \n3            0                      0            0                   0   \n4            0                      0            0                   0   \n\n   Colombian Restaurant  Comfort Food Restaurant  Comic Shop  Concert Hall  \\\n0                     0                        0           0             0   \n1                     0                        0           0             0   \n2                     0                        0           0             0   \n3                     0                        0           0             0   \n4                     0                        0           0             0   \n\n   Convenience Store  Cosmetics Shop  Coworking Space  Creperie  Dance Studio  \\\n0                  0               0                0         0             0   \n1                  0               0                0         0             0   \n2                  0               0                0         0             0   \n3                  0               0                0         0             0   \n4                  0               0                0         0             0   \n\n   Deli / Bodega  Department Store  Dessert Shop  Diner  Discount Store  \\\n0              0                 0             0      0               0   \n1              0                 0             0      0               0   \n2              0                 0             0      0               0   \n3              0                 0             0      0               0   \n4              0                 0             0      0               0   \n\n   Dog Run  Doner Restaurant  Donut Shop  Dumpling Restaurant  \\\n0        0                 0           0                    0   \n1        0                 0           0                    0   \n2        0                 0           0                    0   \n3        0                 0           0                    0   \n4        0                 0           0                    0   \n\n   Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n0                            0                  0                     0   \n1                            0                  0                     0   \n2                            0                  0                     0   \n3                            0                  0                     0   \n4                            0                  0                     0   \n\n   Event Space  Falafel Restaurant  Farmers Market  Fast Food Restaurant  \\\n0            0                   0               0                     0   \n1            0                   0               0                     1   \n2            0                   0               0                     0   \n3            0                   0               0                     0   \n4            0                   0               0                     0   \n\n   Field  Filipino Restaurant  Fish & Chips Shop  Fish Market  Flower Shop  \\\n0      0                    0                  0            0            0   \n1      0                    0                  0            0            0   \n2      0                    0                  0            0            0   \n3      0                    0                  0            0            0   \n4      0                    0                  0            0            0   \n\n   Food & Drink Shop  Food Court  Food Truck  Fountain  French Restaurant  \\\n0                  0           0           0         0                  0   \n1                  0           0           0         0                  0   \n2                  0           0           0         0                  0   \n3                  0           0           0         0                  0   \n4                  0           0           0         0                  0   \n\n   Fried Chicken Joint  Fruit & Vegetable Store  Furniture / Home Store  \\\n0                    0                        0                       0   \n1                    0                        0                       0   \n2                    0                        0                       0   \n3                    0                        0                       0   \n4                    0                        0                       0   \n\n   Gaming Cafe  Garden  Garden Center  Gastropub  Gay Bar  \\\n0            0       0              0          0        0   \n1            0       0              0          0        0   \n2            0       0              0          0        0   \n3            0       0              0          0        0   \n4            0       0              0          0        0   \n\n   General Entertainment  General Travel  German Restaurant  Gift Shop  \\\n0                      0               0                  0          0   \n1                      0               0                  0          0   \n2                      0               0                  0          0   \n3                      0               0                  0          0   \n4                      0               0                  0          0   \n\n   Gluten-free Restaurant  Gourmet Shop  Greek Restaurant  Grocery Store  Gym  \\\n0                       0             0                 0              0    0   \n1                       0             0                 0              0    0   \n2                       0             0                 0              0    0   \n3                       0             0                 0              0    0   \n4                       0             0                 0              0    0   \n\n   Gym / Fitness Center  Harbor / Marina  Health & Beauty Service  \\\n0                     0                0                        0   \n1                     0                0                        0   \n2                     0                0                        0   \n3                     0                0                        0   \n4                     0                0                        0   \n\n   Health Food Store  Historic Site  History Museum  Hobby Shop  Hockey Arena  \\\n0                  0              0               0           0             0   \n1                  0              0               0           0             0   \n2                  0              0               0           0             0   \n3                  0              0               0           0             0   \n4                  0              0               0           0             0   \n\n   Hookah Bar  Hospital  Hostel  Hotel  Hotel Bar  Hotpot Restaurant  \\\n0           0         0       0      0          0                  0   \n1           0         0       0      0          0                  0   \n2           0         0       0      0          0                  0   \n3           0         0       0      0          0                  0   \n4           0         0       0      0          0                  0   \n\n   Ice Cream Shop  Indian Restaurant  Irish Pub  Italian Restaurant  \\\n0               0                  0          0                   0   \n1               0                  0          0                   0   \n2               0                  0          0                   0   \n3               0                  0          0                   0   \n4               0                  0          0                   0   \n\n   Japanese Restaurant  Jazz Club  Jewelry Store  Juice Bar  \\\n0                    0          0              0          0   \n1                    0          0              0          0   \n2                    0          0              0          0   \n3                    0          0              0          0   \n4                    0          0              0          0   \n\n   Korean Restaurant  Lake  Latin American Restaurant  Light Rail Station  \\\n0                  0     0                          0                   0   \n1                  0     0                          0                   0   \n2                  0     0                          0                   0   \n3                  0     0                          0                   0   \n4                  0     0                          0                   0   \n\n   Lingerie Store  Liquor Store  Lounge  Market  Martial Arts Dojo  \\\n0               0             0       0       0                  0   \n1               0             0       0       0                  0   \n2               0             0       0       0                  0   \n3               0             0       0       0                  0   \n4               0             0       0       1                  0   \n\n   Massage Studio  Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n0               0                         0            0                   0   \n1               0                         0            0                   0   \n2               0                         0            0                   0   \n3               0                         0            0                   0   \n4               0                         0            0                   0   \n\n   Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n0                          0                   0                           0   \n1                          0                   0                           0   \n2                          0                   0                           0   \n3                          0                   0                           0   \n4                          0                   0                           0   \n\n   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n0                                0                    0              0   \n1                                0                    0              0   \n2                                0                    0              0   \n3                                0                    0              0   \n4                                0                    0              0   \n\n   Museum  Music Store  Music Venue         Neighborhood  \\\n0       0            0            0  Caledonia-Fairbanks   \n1       0            0            0  Caledonia-Fairbanks   \n2       0            0            0  Caledonia-Fairbanks   \n3       0            0            0  Caledonia-Fairbanks   \n4       0            0            0  Caledonia-Fairbanks   \n\n   New American Restaurant  Nightclub  Noodle House  Office  Opera House  \\\n0                        0          0             0       0            0   \n1                        0          0             0       0            0   \n2                        0          0             0       0            0   \n3                        0          0             0       0            0   \n4                        0          0             0       0            0   \n\n   Optical Shop  Organic Grocery  Other Great Outdoors  Park  \\\n0             0                0                     0     0   \n1             0                0                     0     0   \n2             0                0                     0     1   \n3             0                0                     0     0   \n4             0                0                     0     0   \n\n   Performing Arts Venue  Persian Restaurant  Pet Store  Pharmacy  \\\n0                      0                   0          0         1   \n1                      0                   0          0         0   \n2                      0                   0          0         0   \n3                      0                   0          0         0   \n4                      0                   0          0         0   \n\n   Pizza Place  Plane  Playground  Plaza  Poke Place  Portuguese Restaurant  \\\n0            0      0           0      0           0                      0   \n1            0      0           0      0           0                      0   \n2            0      0           0      0           0                      0   \n3            0      0           0      0           0                      0   \n4            0      0           0      0           0                      0   \n\n   Poutine Place  Pub  Ramen Restaurant  Record Shop  Recording Studio  \\\n0              0    0                 0            0                 0   \n1              0    0                 0            0                 0   \n2              0    0                 0            0                 0   \n3              0    0                 0            0                 0   \n4              0    0                 0            0                 0   \n\n   Restaurant  Sake Bar  Salad Place  Salon / Barbershop  Sandwich Place  \\\n0           0         0            0                   0               0   \n1           0         0            0                   0               0   \n2           0         0            0                   0               0   \n3           0         0            0                   0               0   \n4           0         0            0                   0               0   \n\n   Scenic Lookout  Sculpture Garden  Seafood Restaurant  Shoe Store  \\\n0               0                 0                   0           0   \n1               0                 0                   0           0   \n2               0                 0                   0           0   \n3               0                 0                   0           0   \n4               0                 0                   0           0   \n\n   Shopping Mall  Skate Park  Skating Rink  Smoke Shop  Smoothie Shop  \\\n0              0           0             0           0              0   \n1              0           0             0           0              0   \n2              0           0             0           0              0   \n3              0           0             0           0              0   \n4              0           0             0           0              0   \n\n   Snack Place  Soup Place  Spa  Speakeasy  Sporting Goods Shop  Sports Bar  \\\n0            0           0    0          0                    0           0   \n1            0           0    0          0                    0           0   \n2            0           0    0          0                    0           0   \n3            0           0    0          0                    0           0   \n4            0           0    0          0                    0           0   \n\n   Stationery Store  Steakhouse  Strip Club  Supermarket  Sushi Restaurant  \\\n0                 0           0           0            0                 0   \n1                 0           0           0            0                 0   \n2                 0           0           0            0                 0   \n3                 0           0           0            0                 0   \n4                 0           0           0            0                 0   \n\n   Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\n0           0            0                     0              0         0   \n1           0            0                     0              0         0   \n2           0            0                     0              0         0   \n3           0            0                     0              0         0   \n4           0            0                     0              0         0   \n\n   Tennis Court  Thai Restaurant  Theater  Theme Restaurant  \\\n0             0                0        0                 0   \n1             0                0        0                 0   \n2             0                0        0                 0   \n3             0                0        0                 0   \n4             0                0        0                 0   \n\n   Thrift / Vintage Store  Toy / Game Store  Trail  Train Station  \\\n0                       0                 0      0              0   \n1                       0                 0      0              0   \n2                       0                 0      0              0   \n3                       0                 0      0              0   \n4                       0                 0      0              0   \n\n   Vegetarian / Vegan Restaurant  Video Game Store  Video Store  \\\n0                              0                 0            0   \n1                              0                 0            0   \n2                              0                 0            0   \n3                              0                 0            0   \n4                              0                 0            0   \n\n   Vietnamese Restaurant  Wine Bar  Wings Joint  \n0                      0         0            0  \n1                      0         0            0  \n2                      0         0            0  \n3                      0         0            0  \n4                      0         0            0  "}, "output_type": "execute_result"}], "source": "result_3b_onehot = result_3b_onehot[result_3b_fixed_columns]\nresult_3b_onehot.head()\n"}, {"execution_count": 306, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 306, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>Aquarium</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Auto Workshop</th>\n      <th>BBQ Joint</th>\n      <th>Baby Store</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Stadium</th>\n      <th>Basketball Stadium</th>\n      <th>Beach</th>\n      <th>Bed &amp; Breakfast</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Bistro</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Boutique</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Camera Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Check Cashing Service</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Chocolate Shop</th>\n      <th>Church</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Arts Building</th>\n      <th>College Gym</th>\n      <th>College Rec Center</th>\n      <th>Colombian Restaurant</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Doner Restaurant</th>\n      <th>Donut Shop</th>\n      <th>Dumpling Restaurant</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Ethiopian Restaurant</th>\n      <th>Event Space</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Field</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>German Restaurant</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hockey Arena</th>\n      <th>Hookah Bar</th>\n      <th>Hospital</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Hotpot Restaurant</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Irish Pub</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Jewelry Store</th>\n      <th>Juice Bar</th>\n      <th>Korean Restaurant</th>\n      <th>Lake</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Market</th>\n      <th>Martial Arts Dojo</th>\n      <th>Massage Studio</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Men's Store</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Miscellaneous Shop</th>\n      <th>Modern European Restaurant</th>\n      <th>Molecular Gastronomy Restaurant</th>\n      <th>Monument / Landmark</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Store</th>\n      <th>Music Venue</th>\n      <th>Neighborhood</th>\n      <th>New American Restaurant</th>\n      <th>Nightclub</th>\n      <th>Noodle House</th>\n      <th>Office</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Other Great Outdoors</th>\n      <th>Park</th>\n      <th>Performing Arts Venue</th>\n      <th>Persian Restaurant</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Poke Place</th>\n      <th>Portuguese Restaurant</th>\n      <th>Poutine Place</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Recording Studio</th>\n      <th>Restaurant</th>\n      <th>Sake Bar</th>\n      <th>Salad Place</th>\n      <th>Salon / Barbershop</th>\n      <th>Sandwich Place</th>\n      <th>Scenic Lookout</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Shopping Mall</th>\n      <th>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</th>\n      <th>Tanning Salon</th>\n      <th>Tea Room</th>\n      <th>Tennis Court</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Theme Restaurant</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1419</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1420</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1421</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1422</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1423</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1424</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1425</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1426</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1427</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1428</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "      Women's Store  Yoga Studio  Adult Boutique  Afghan Restaurant  Airport  \\\n1419              0            0               0                  0        0   \n1420              0            0               0                  0        0   \n1421              0            0               0                  0        0   \n1422              0            0               0                  0        0   \n1423              0            0               0                  0        0   \n1424              0            0               0                  0        0   \n1425              0            0               0                  0        0   \n1426              0            0               0                  0        0   \n1427              0            0               0                  0        0   \n1428              0            0               0                  0        0   \n\n      Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\n1419                   0             0               0                0   \n1420                   0             0               0                0   \n1421                   0             0               0                0   \n1422                   0             0               0                0   \n1423                   0             0               0                0   \n1424                   0             0               0                0   \n1425                   0             0               0                0   \n1426                   0             0               0                0   \n1427                   0             0               0                0   \n1428                   0             0               0                0   \n\n      Airport Terminal  American Restaurant  Antique Shop  Aquarium  \\\n1419                 0                    0             0         0   \n1420                 0                    0             0         0   \n1421                 0                    0             0         0   \n1422                 0                    0             0         0   \n1423                 0                    1             0         0   \n1424                 0                    0             0         0   \n1425                 0                    0             0         0   \n1426                 0                    0             0         0   \n1427                 0                    0             0         0   \n1428                 0                    0             0         0   \n\n      Art Gallery  Art Museum  Arts & Crafts Store  Asian Restaurant  \\\n1419            0           0                    0                 0   \n1420            0           0                    0                 0   \n1421            0           0                    0                 0   \n1422            0           0                    0                 0   \n1423            0           0                    0                 0   \n1424            0           0                    0                 0   \n1425            0           0                    0                 0   \n1426            0           0                    0                 0   \n1427            0           0                    0                 0   \n1428            0           0                    0                 0   \n\n      Auto Workshop  BBQ Joint  Baby Store  Bagel Shop  Bakery  Bank  Bar  \\\n1419              0          0           0           0       1     0    0   \n1420              0          0           0           0       0     0    0   \n1421              0          0           0           0       0     0    0   \n1422              0          0           0           0       0     0    0   \n1423              0          0           0           0       0     0    0   \n1424              0          0           0           0       0     0    0   \n1425              0          0           0           0       0     0    0   \n1426              0          0           0           0       0     0    0   \n1427              0          0           0           0       0     0    0   \n1428              0          0           0           0       0     0    0   \n\n      Baseball Stadium  Basketball Stadium  Beach  Bed & Breakfast  Beer Bar  \\\n1419                 0                   0      0                0         0   \n1420                 0                   0      0                0         0   \n1421                 0                   0      0                0         0   \n1422                 0                   0      0                0         0   \n1423                 0                   0      0                0         0   \n1424                 0                   0      0                0         0   \n1425                 0                   0      0                0         0   \n1426                 0                   0      0                0         0   \n1427                 0                   0      0                0         0   \n1428                 0                   0      0                0         0   \n\n      Beer Store  Belgian Restaurant  Bistro  Boat or Ferry  Bookstore  \\\n1419           0                   0       0              0          0   \n1420           0                   0       0              0          0   \n1421           0                   0       0              0          0   \n1422           0                   0       0              0          0   \n1423           0                   0       0              0          0   \n1424           0                   0       0              0          0   \n1425           0                   0       0              0          0   \n1426           0                   0       0              0          0   \n1427           0                   0       0              0          0   \n1428           0                   0       0              0          0   \n\n      Boutique  Brazilian Restaurant  Breakfast Spot  Brewery  \\\n1419         0                     0               0        0   \n1420         0                     0               0        0   \n1421         0                     0               0        0   \n1422         0                     0               0        0   \n1423         0                     0               0        0   \n1424         0                     0               0        0   \n1425         0                     0               0        0   \n1426         0                     0               0        0   \n1427         0                     0               0        0   \n1428         0                     0               0        0   \n\n      Bubble Tea Shop  Burger Joint  Burrito Place  Bus Line  Butcher  Caf\u00e9  \\\n1419                0             0              0         0        0     0   \n1420                0             0              0         0        0     0   \n1421                0             0              0         0        0     1   \n1422                0             0              0         0        0     0   \n1423                0             0              0         0        0     0   \n1424                0             0              0         0        0     0   \n1425                0             0              0         0        0     0   \n1426                0             0              0         0        0     0   \n1427                0             0              0         0        0     0   \n1428                0             0              0         0        0     0   \n\n      Camera Store  Caribbean Restaurant  Check Cashing Service  Cheese Shop  \\\n1419             0                     0                      0            0   \n1420             0                     0                      0            0   \n1421             0                     0                      0            0   \n1422             0                     0                      0            0   \n1423             0                     0                      0            0   \n1424             0                     0                      0            0   \n1425             0                     0                      0            0   \n1426             0                     0                      0            0   \n1427             0                     0                      0            0   \n1428             0                     0                      0            0   \n\n      Chinese Restaurant  Chocolate Shop  Church  Clothing Store  \\\n1419                   0               0       0               0   \n1420                   0               0       0               0   \n1421                   0               0       0               0   \n1422                   0               0       0               0   \n1423                   0               0       0               0   \n1424                   0               0       0               0   \n1425                   0               0       0               0   \n1426                   0               0       0               0   \n1427                   0               0       0               0   \n1428                   0               0       0               0   \n\n      Cocktail Bar  Coffee Shop  College Arts Building  College Gym  \\\n1419             0            0                      0            0   \n1420             0            1                      0            0   \n1421             0            0                      0            0   \n1422             0            0                      0            0   \n1423             0            0                      0            0   \n1424             0            0                      0            0   \n1425             0            0                      0            0   \n1426             0            0                      0            0   \n1427             0            0                      0            0   \n1428             0            1                      0            0   \n\n      College Rec Center  Colombian Restaurant  Comfort Food Restaurant  \\\n1419                   0                     0                        0   \n1420                   0                     0                        0   \n1421                   0                     0                        0   \n1422                   0                     0                        0   \n1423                   0                     0                        0   \n1424                   0                     0                        0   \n1425                   0                     0                        0   \n1426                   0                     0                        0   \n1427                   0                     0                        0   \n1428                   0                     0                        0   \n\n      Comic Shop  Concert Hall  Convenience Store  Cosmetics Shop  \\\n1419           0             0                  0               0   \n1420           0             0                  0               0   \n1421           0             0                  0               0   \n1422           0             0                  0               0   \n1423           0             0                  0               0   \n1424           0             0                  0               0   \n1425           0             0                  0               0   \n1426           0             0                  0               0   \n1427           0             0                  0               0   \n1428           0             0                  0               0   \n\n      Coworking Space  Creperie  Dance Studio  Deli / Bodega  \\\n1419                0         0             0              0   \n1420                0         0             0              0   \n1421                0         0             0              0   \n1422                0         0             0              0   \n1423                0         0             0              0   \n1424                0         0             0              0   \n1425                0         0             0              0   \n1426                0         0             0              0   \n1427                0         0             0              0   \n1428                0         0             0              0   \n\n      Department Store  Dessert Shop  Diner  Discount Store  Dog Run  \\\n1419                 0             0      0               0        0   \n1420                 0             0      0               0        0   \n1421                 0             0      0               0        0   \n1422                 0             0      0               0        0   \n1423                 0             0      0               0        0   \n1424                 0             0      0               0        0   \n1425                 0             0      0               0        0   \n1426                 0             0      0               0        0   \n1427                 0             0      0               0        0   \n1428                 0             0      0               0        0   \n\n      Doner Restaurant  Donut Shop  Dumpling Restaurant  \\\n1419                 0           0                    0   \n1420                 0           0                    0   \n1421                 0           0                    0   \n1422                 0           0                    0   \n1423                 0           0                    0   \n1424                 0           0                    0   \n1425                 0           0                    0   \n1426                 0           0                    0   \n1427                 0           0                    0   \n1428                 0           0                    0   \n\n      Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n1419                            0                  0                     0   \n1420                            0                  0                     0   \n1421                            0                  0                     0   \n1422                            0                  0                     0   \n1423                            0                  0                     0   \n1424                            0                  0                     0   \n1425                            0                  0                     0   \n1426                            0                  0                     0   \n1427                            0                  0                     0   \n1428                            0                  0                     0   \n\n      Event Space  Falafel Restaurant  Farmers Market  Fast Food Restaurant  \\\n1419            0                   0               0                     0   \n1420            0                   0               0                     0   \n1421            0                   0               0                     0   \n1422            0                   0               0                     0   \n1423            0                   0               0                     0   \n1424            0                   0               0                     0   \n1425            0                   0               0                     0   \n1426            0                   0               0                     0   \n1427            0                   0               0                     0   \n1428            0                   0               0                     0   \n\n      Field  Filipino Restaurant  Fish & Chips Shop  Fish Market  Flower Shop  \\\n1419      0                    0                  0            0            0   \n1420      0                    0                  0            0            0   \n1421      0                    0                  0            0            0   \n1422      0                    0                  0            0            0   \n1423      0                    0                  0            0            0   \n1424      0                    0                  0            0            0   \n1425      0                    0                  0            0            0   \n1426      0                    0                  0            0            0   \n1427      0                    0                  0            0            0   \n1428      0                    0                  0            0            0   \n\n      Food & Drink Shop  Food Court  Food Truck  Fountain  French Restaurant  \\\n1419                  0           0           0         0                  0   \n1420                  0           0           0         0                  0   \n1421                  0           0           0         0                  0   \n1422                  0           0           0         0                  0   \n1423                  0           0           0         0                  0   \n1424                  0           0           0         0                  0   \n1425                  0           0           0         0                  0   \n1426                  0           0           0         0                  0   \n1427                  0           0           0         0                  0   \n1428                  0           0           0         0                  0   \n\n      Fried Chicken Joint  Fruit & Vegetable Store  Furniture / Home Store  \\\n1419                    0                        0                       0   \n1420                    0                        0                       0   \n1421                    0                        0                       0   \n1422                    0                        0                       0   \n1423                    0                        0                       0   \n1424                    0                        0                       0   \n1425                    0                        0                       0   \n1426                    0                        0                       0   \n1427                    0                        0                       1   \n1428                    0                        0                       0   \n\n      Gaming Cafe  Garden  Garden Center  Gastropub  Gay Bar  \\\n1419            0       0              0          0        0   \n1420            0       0              0          0        0   \n1421            0       0              0          0        0   \n1422            0       0              0          0        0   \n1423            0       0              0          0        0   \n1424            0       0              0          0        0   \n1425            0       0              0          0        0   \n1426            0       0              0          0        0   \n1427            0       0              0          0        0   \n1428            0       0              0          0        0   \n\n      General Entertainment  General Travel  German Restaurant  Gift Shop  \\\n1419                      0               0                  0          0   \n1420                      0               0                  0          0   \n1421                      0               0                  0          0   \n1422                      0               0                  0          0   \n1423                      0               0                  0          0   \n1424                      0               0                  0          0   \n1425                      0               0                  0          0   \n1426                      0               0                  0          0   \n1427                      0               0                  0          0   \n1428                      0               0                  0          0   \n\n      Gluten-free Restaurant  Gourmet Shop  Greek Restaurant  Grocery Store  \\\n1419                       0             0                 0              0   \n1420                       0             0                 0              0   \n1421                       0             0                 0              0   \n1422                       0             0                 0              0   \n1423                       0             0                 0              0   \n1424                       0             0                 0              0   \n1425                       0             0                 1              0   \n1426                       0             0                 0              0   \n1427                       0             0                 0              0   \n1428                       0             0                 0              0   \n\n      Gym  Gym / Fitness Center  Harbor / Marina  Health & Beauty Service  \\\n1419    0                     0                0                        0   \n1420    0                     0                0                        0   \n1421    0                     0                0                        0   \n1422    0                     0                0                        0   \n1423    0                     0                0                        0   \n1424    0                     0                0                        0   \n1425    0                     0                0                        0   \n1426    0                     0                0                        0   \n1427    0                     0                0                        0   \n1428    0                     0                0                        0   \n\n      Health Food Store  Historic Site  History Museum  Hobby Shop  \\\n1419                  0              0               0           0   \n1420                  0              0               0           0   \n1421                  0              0               0           0   \n1422                  0              0               0           0   \n1423                  0              0               0           0   \n1424                  0              0               0           0   \n1425                  0              0               0           0   \n1426                  0              0               0           0   \n1427                  0              0               0           0   \n1428                  0              0               0           0   \n\n      Hockey Arena  Hookah Bar  Hospital  Hostel  Hotel  Hotel Bar  \\\n1419             0           0         0       0      0          0   \n1420             0           0         0       0      0          0   \n1421             0           0         0       0      0          0   \n1422             0           0         0       0      0          0   \n1423             0           0         0       0      0          0   \n1424             0           0         0       0      0          0   \n1425             0           0         0       0      0          0   \n1426             0           0         0       0      0          0   \n1427             0           0         0       0      0          0   \n1428             0           0         0       0      0          0   \n\n      Hotpot Restaurant  Ice Cream Shop  Indian Restaurant  Irish Pub  \\\n1419                  0               0                  0          0   \n1420                  0               0                  0          0   \n1421                  0               0                  0          0   \n1422                  0               1                  0          0   \n1423                  0               0                  0          0   \n1424                  0               0                  0          0   \n1425                  0               0                  0          0   \n1426                  0               0                  0          0   \n1427                  0               0                  0          0   \n1428                  0               0                  0          0   \n\n      Italian Restaurant  Japanese Restaurant  Jazz Club  Jewelry Store  \\\n1419                   0                    0          0              0   \n1420                   0                    0          0              0   \n1421                   0                    0          0              0   \n1422                   0                    0          0              0   \n1423                   0                    0          0              0   \n1424                   0                    0          0              0   \n1425                   0                    0          0              0   \n1426                   1                    0          0              0   \n1427                   0                    0          0              0   \n1428                   0                    0          0              0   \n\n      Juice Bar  Korean Restaurant  Lake  Latin American Restaurant  \\\n1419          0                  0     0                          0   \n1420          0                  0     0                          0   \n1421          0                  0     0                          0   \n1422          0                  0     0                          0   \n1423          0                  0     0                          0   \n1424          0                  0     0                          0   \n1425          0                  0     0                          0   \n1426          0                  0     0                          0   \n1427          0                  0     0                          0   \n1428          0                  0     0                          0   \n\n      Light Rail Station  Lingerie Store  Liquor Store  Lounge  Market  \\\n1419                   0               0             0       0       0   \n1420                   0               0             0       0       0   \n1421                   0               0             0       0       0   \n1422                   0               0             0       0       0   \n1423                   0               0             0       0       0   \n1424                   0               0             1       0       0   \n1425                   0               0             0       0       0   \n1426                   0               0             0       0       0   \n1427                   0               0             0       0       0   \n1428                   0               0             0       0       0   \n\n      Martial Arts Dojo  Massage Studio  Mediterranean Restaurant  \\\n1419                  0               0                         0   \n1420                  0               0                         0   \n1421                  0               0                         0   \n1422                  0               0                         0   \n1423                  0               0                         0   \n1424                  0               0                         0   \n1425                  0               0                         0   \n1426                  0               0                         0   \n1427                  0               0                         0   \n1428                  0               0                         0   \n\n      Men's Store  Mexican Restaurant  Middle Eastern Restaurant  \\\n1419            0                   0                          0   \n1420            0                   0                          0   \n1421            0                   0                          0   \n1422            0                   0                          0   \n1423            0                   0                          0   \n1424            0                   0                          0   \n1425            0                   0                          0   \n1426            0                   0                          0   \n1427            0                   0                          0   \n1428            0                   0                          0   \n\n      Miscellaneous Shop  Modern European Restaurant  \\\n1419                   0                           0   \n1420                   0                           0   \n1421                   0                           0   \n1422                   0                           0   \n1423                   0                           0   \n1424                   0                           0   \n1425                   0                           0   \n1426                   0                           0   \n1427                   0                           0   \n1428                   0                           0   \n\n      Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n1419                                0                    0              0   \n1420                                0                    0              0   \n1421                                0                    0              0   \n1422                                0                    0              0   \n1423                                0                    0              0   \n1424                                0                    0              0   \n1425                                0                    0              0   \n1426                                0                    0              0   \n1427                                0                    0              0   \n1428                                0                    0              0   \n\n      Museum  Music Store  Music Venue                 Neighborhood  \\\n1419       0            0            0  The Danforth West,Riverdale   \n1420       0            0            0  The Danforth West,Riverdale   \n1421       0            0            0  The Danforth West,Riverdale   \n1422       0            0            0  The Danforth West,Riverdale   \n1423       0            0            0  The Danforth West,Riverdale   \n1424       0            0            0  The Danforth West,Riverdale   \n1425       0            0            0  The Danforth West,Riverdale   \n1426       0            0            0  The Danforth West,Riverdale   \n1427       0            0            0  The Danforth West,Riverdale   \n1428       0            0            0  The Danforth West,Riverdale   \n\n      New American Restaurant  Nightclub  Noodle House  Office  Opera House  \\\n1419                        0          0             0       0            0   \n1420                        0          0             0       0            0   \n1421                        0          0             0       0            0   \n1422                        0          0             0       0            0   \n1423                        0          0             0       0            0   \n1424                        0          0             0       0            0   \n1425                        0          0             0       0            0   \n1426                        0          0             0       0            0   \n1427                        0          0             0       0            0   \n1428                        0          0             0       0            0   \n\n      Optical Shop  Organic Grocery  Other Great Outdoors  Park  \\\n1419             0                0                     0     0   \n1420             0                0                     0     0   \n1421             0                0                     0     0   \n1422             0                0                     0     0   \n1423             0                0                     0     0   \n1424             0                0                     0     0   \n1425             0                0                     0     0   \n1426             0                0                     0     0   \n1427             0                0                     0     0   \n1428             0                0                     0     0   \n\n      Performing Arts Venue  Persian Restaurant  Pet Store  Pharmacy  \\\n1419                      0                   0          0         0   \n1420                      0                   0          0         0   \n1421                      0                   0          0         0   \n1422                      0                   0          0         0   \n1423                      0                   0          0         0   \n1424                      0                   0          0         0   \n1425                      0                   0          0         0   \n1426                      0                   0          0         0   \n1427                      0                   0          0         0   \n1428                      0                   0          0         0   \n\n      Pizza Place  Plane  Playground  Plaza  Poke Place  \\\n1419            0      0           0      0           0   \n1420            0      0           0      0           0   \n1421            0      0           0      0           0   \n1422            0      0           0      0           0   \n1423            0      0           0      0           0   \n1424            0      0           0      0           0   \n1425            0      0           0      0           0   \n1426            0      0           0      0           0   \n1427            0      0           0      0           0   \n1428            0      0           0      0           0   \n\n      Portuguese Restaurant  Poutine Place  Pub  Ramen Restaurant  \\\n1419                      0              0    0                 0   \n1420                      0              0    0                 0   \n1421                      0              0    0                 0   \n1422                      0              0    0                 0   \n1423                      0              0    0                 0   \n1424                      0              0    0                 0   \n1425                      0              0    0                 0   \n1426                      0              0    0                 0   \n1427                      0              0    0                 0   \n1428                      0              0    0                 0   \n\n      Record Shop  Recording Studio  Restaurant  Sake Bar  Salad Place  \\\n1419            0                 0           0         0            0   \n1420            0                 0           0         0            0   \n1421            0                 0           0         0            0   \n1422            0                 0           0         0            0   \n1423            0                 0           0         0            0   \n1424            0                 0           0         0            0   \n1425            0                 0           0         0            0   \n1426            0                 0           0         0            0   \n1427            0                 0           0         0            0   \n1428            0                 0           0         0            0   \n\n      Salon / Barbershop  Sandwich Place  Scenic Lookout  Sculpture Garden  \\\n1419                   0               0               0                 0   \n1420                   0               0               0                 0   \n1421                   0               0               0                 0   \n1422                   0               0               0                 0   \n1423                   0               0               0                 0   \n1424                   0               0               0                 0   \n1425                   0               0               0                 0   \n1426                   0               0               0                 0   \n1427                   0               0               0                 0   \n1428                   0               0               0                 0   \n\n      Seafood Restaurant  Shoe Store  Shopping Mall  Skate Park  Skating Rink  \\\n1419                   0           0              0           0             0   \n1420                   0           0              0           0             0   \n1421                   0           0              0           0             0   \n1422                   0           0              0           0             0   \n1423                   0           0              0           0             0   \n1424                   0           0              0           0             0   \n1425                   0           0              0           0             0   \n1426                   0           0              0           0             0   \n1427                   0           0              0           0             0   \n1428                   0           0              0           0             0   \n\n      Smoke Shop  Smoothie Shop  Snack Place  Soup Place  Spa  Speakeasy  \\\n1419           0              0            0           0    0          0   \n1420           0              0            0           0    0          0   \n1421           0              0            0           0    0          0   \n1422           0              0            0           0    0          0   \n1423           0              0            0           0    0          0   \n1424           0              0            0           0    0          0   \n1425           0              0            0           0    0          0   \n1426           0              0            0           0    0          0   \n1427           0              0            0           0    0          0   \n1428           0              0            0           0    0          0   \n\n      Sporting Goods Shop  Sports Bar  Stationery Store  Steakhouse  \\\n1419                    0           0                 0           0   \n1420                    0           0                 0           0   \n1421                    0           0                 0           0   \n1422                    0           0                 0           0   \n1423                    0           0                 0           0   \n1424                    0           0                 0           0   \n1425                    0           0                 0           0   \n1426                    0           0                 0           0   \n1427                    0           0                 0           0   \n1428                    0           0                 0           0   \n\n      Strip Club  Supermarket  Sushi Restaurant  Taco Place  Tailor Shop  \\\n1419           0            0                 0           0            0   \n1420           0            0                 0           0            0   \n1421           0            0                 0           0            0   \n1422           0            0                 0           0            0   \n1423           0            0                 0           0            0   \n1424           0            0                 0           0            0   \n1425           0            0                 0           0            0   \n1426           0            0                 0           0            0   \n1427           0            0                 0           0            0   \n1428           0            0                 0           0            0   \n\n      Taiwanese Restaurant  Tanning Salon  Tea Room  Tennis Court  \\\n1419                     0              0         0             0   \n1420                     0              0         0             0   \n1421                     0              0         0             0   \n1422                     0              0         0             0   \n1423                     0              0         0             0   \n1424                     0              0         0             0   \n1425                     0              0         0             0   \n1426                     0              0         0             0   \n1427                     0              0         0             0   \n1428                     0              0         0             0   \n\n      Thai Restaurant  Theater  Theme Restaurant  Thrift / Vintage Store  \\\n1419                0        0                 0                       0   \n1420                0        0                 0                       0   \n1421                0        0                 0                       0   \n1422                0        0                 0                       0   \n1423                0        0                 0                       0   \n1424                0        0                 0                       0   \n1425                0        0                 0                       0   \n1426                0        0                 0                       0   \n1427                0        0                 0                       0   \n1428                0        0                 0                       0   \n\n      Toy / Game Store  Trail  Train Station  Vegetarian / Vegan Restaurant  \\\n1419                 0      0              0                              0   \n1420                 0      0              0                              0   \n1421                 0      0              0                              0   \n1422                 0      0              0                              0   \n1423                 0      0              0                              0   \n1424                 0      0              0                              0   \n1425                 0      0              0                              0   \n1426                 0      0              0                              0   \n1427                 0      0              0                              0   \n1428                 0      0              0                              0   \n\n      Video Game Store  Video Store  Vietnamese Restaurant  Wine Bar  \\\n1419                 0            0                      0         0   \n1420                 0            0                      0         0   \n1421                 0            0                      0         0   \n1422                 0            0                      0         0   \n1423                 0            0                      0         0   \n1424                 0            0                      0         0   \n1425                 0            0                      0         0   \n1426                 0            0                      0         0   \n1427                 0            0                      0         0   \n1428                 0            0                      0         0   \n\n      Wings Joint  \n1419            0  \n1420            0  \n1421            0  \n1422            0  \n1423            0  \n1424            0  \n1425            0  \n1426            0  \n1427            0  \n1428            0  "}, "output_type": "execute_result"}], "source": "result_3b_onehot.tail(10)"}, {"execution_count": 307, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 1429 entries, 0 to 1428\nColumns: 222 entries, Women's Store to Wings Joint\ndtypes: object(1), uint8(221)\nmemory usage: 319.6+ KB\n"}], "source": "result_3b_onehot.to_csv('3boroughs_onehot.csv')\nresult_3b_onehot.info()"}, {"execution_count": 308, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 308, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighborhood</th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>Aquarium</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Auto Workshop</th>\n      <th>BBQ Joint</th>\n      <th>Baby Store</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Stadium</th>\n      <th>Basketball Stadium</th>\n      <th>Beach</th>\n      <th>Bed &amp; Breakfast</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Bistro</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Boutique</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Camera Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Check Cashing Service</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Chocolate Shop</th>\n      <th>Church</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Arts Building</th>\n      <th>College Gym</th>\n      <th>College Rec Center</th>\n      <th>Colombian Restaurant</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Doner Restaurant</th>\n      <th>Donut Shop</th>\n      <th>Dumpling Restaurant</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Ethiopian Restaurant</th>\n      <th>Event Space</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Field</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>German Restaurant</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hockey Arena</th>\n      <th>Hookah Bar</th>\n      <th>Hospital</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Hotpot Restaurant</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Irish Pub</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Jewelry Store</th>\n      <th>Juice Bar</th>\n      <th>Korean Restaurant</th>\n      <th>Lake</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Market</th>\n      <th>Martial Arts Dojo</th>\n      <th>Massage Studio</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Men's Store</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Miscellaneous Shop</th>\n      <th>Modern European Restaurant</th>\n      <th>Molecular Gastronomy Restaurant</th>\n      <th>Monument / Landmark</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Store</th>\n      <th>Music Venue</th>\n      <th>New American Restaurant</th>\n      <th>Nightclub</th>\n      <th>Noodle House</th>\n      <th>Office</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Other Great Outdoors</th>\n      <th>Park</th>\n      <th>Performing Arts Venue</th>\n      <th>Persian Restaurant</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Poke Place</th>\n      <th>Portuguese Restaurant</th>\n      <th>Poutine Place</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Recording Studio</th>\n      <th>Restaurant</th>\n      <th>Sake Bar</th>\n      <th>Salad Place</th>\n      <th>Salon / Barbershop</th>\n      <th>Sandwich Place</th>\n      <th>Scenic Lookout</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Shopping Mall</th>\n      <th>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</th>\n      <th>Tanning Salon</th>\n      <th>Tea Room</th>\n      <th>Tennis Court</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Theme Restaurant</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Adelaide,King,Richmond</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.02</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n   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<td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Berczy Park</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.018182</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.054545</td>\n      <td>0.090909</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0625</td>\n      <td>0.0625</td>\n      <td>0.0625</td>\n      <td>0.125</td>\n      <td>0.125</td>\n      <td>0.125</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.062500</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0625</td>\n      <td>0.000000</td>\n      <td>0.0625</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.062500</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0625</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0625</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.062500</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Cabbagetown,St. James Town</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.021739</td>\n      <td>0.021739</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.021739</td>\n      <td>0.043478</td>\n      <td>0.00</td>\n      <td>0.021739</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.086957</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.021739</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.043478</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.021739</td>\n      <td>0.043478</td>\n      <td>0.0000</td>\n      <td>0.021739</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.065217</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.021739</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.021739</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>0.166667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.166667</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.166667</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.333333</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.166667</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Central Bay Street</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.034091</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.045455</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.159091</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.00000</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.022727</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.045455</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.034091</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.034091</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.022727</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Chinatown,Grange Park,Kensington Market</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.080000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.04</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.010000</td>\n      <td>0.02</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.02</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.060000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Christie</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.200000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.200000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.133333</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>Church and Wellesley</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.011494</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.022989</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.068966</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.034483</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.022989</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.068966</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.022989</td>\n      <td>0.022989</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.034483</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.057471</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>Commerce Court,Victoria Hotel</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.070000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.120000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.060000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.030000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Del Ray,Keelesdale,Mount Dennis,Silverthorn</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>Design Exchange,Toronto Dominion Centre</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.070000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.140000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.070000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>First Canadian Place,Underground city</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.02</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.070000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.110000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.060000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>Harbord,University of Toronto</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.029412</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.058824</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.117647</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.029412</td>\n      <td>0.029412</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.029412</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.029412</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>Harbourfront East,Toronto Islands,Union Station</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.05</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.02</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.120000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.02</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.03</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.03</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>Harbourfront,Regent Park</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.00</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.062500</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.041667</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.041667</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.166667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.020833</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.041667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.062500</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.062500</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.041667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020833</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.041667</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>Humewood-Cedarvale</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.25000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>Rosedale</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.500000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.250000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.25000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>Ryerson,Garden District</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.070000</td>\n      <td>0.000000</td>\n      <td>0.100000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>St. James Town</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.060000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.030000</td>\n      <td>0.030000</td>\n      <td>0.060000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.050000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>Stn A PO Boxes 25 The Esplanade</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.00</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.031915</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.010638</td>\n      <td>0.0000</td>\n      <td>0.010638</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.042553</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.010638</td>\n      <td>0.031915</td>\n      <td>0.106383</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.021277</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.010638</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.031915</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.031915</td>\n      <td>0.021277</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.042553</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.031915</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>Studio District</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.026316</td>\n      <td>0.026316</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.026316</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.105263</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.026316</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.078947</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.026316</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>The Beaches</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.200000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.20</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.200000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.20000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>The Beaches West,India Bazaar</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.055556</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.111111</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.055556</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>The Danforth West,Riverdale</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.023810</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.00</td>\n      <td>0.023810</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.095238</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.02381</td>\n      <td>0.047619</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.214286</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.071429</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.071429</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.02381</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>The Junction North,Runnymede</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>Weston</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.0000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "                                         Neighborhood  Women's Store  \\\n0                              Adelaide,King,Richmond       0.000000   \n1                                         Berczy Park       0.000000   \n2   Business Reply Mail Processing Centre 969 Eastern       0.000000   \n3   CN Tower,Bathurst Quay,Island airport,Harbourf...       0.000000   \n4                          Cabbagetown,St. James Town       0.000000   \n5                                 Caledonia-Fairbanks       0.166667   \n6                                  Central Bay Street       0.000000   \n7             Chinatown,Grange Park,Kensington Market       0.000000   \n8                                            Christie       0.000000   \n9                                Church and Wellesley       0.000000   \n10                      Commerce Court,Victoria Hotel       0.000000   \n11        Del Ray,Keelesdale,Mount Dennis,Silverthorn       0.000000   \n12            Design Exchange,Toronto Dominion Centre       0.000000   \n13              First Canadian Place,Underground city       0.000000   \n14                      Harbord,University of Toronto       0.000000   \n15    Harbourfront East,Toronto Islands,Union Station       0.000000   \n16                           Harbourfront,Regent Park       0.000000   \n17                                 Humewood-Cedarvale       0.000000   \n18                                           Rosedale       0.000000   \n19                            Ryerson,Garden District       0.000000   \n20                                     St. James Town       0.010000   \n21                    Stn A PO Boxes 25 The Esplanade       0.000000   \n22                                    Studio District       0.000000   \n23                                        The Beaches       0.000000   \n24                      The Beaches West,India Bazaar       0.000000   \n25                        The Danforth West,Riverdale       0.000000   \n26                       The Junction North,Runnymede       0.000000   \n27                                             Weston       0.000000   \n\n    Yoga Studio  Adult Boutique  Afghan Restaurant  Airport  \\\n0      0.000000        0.000000           0.000000   0.0000   \n1      0.000000        0.000000           0.000000   0.0000   \n2      0.052632        0.000000           0.000000   0.0000   \n3      0.000000        0.000000           0.000000   0.0625   \n4      0.000000        0.000000           0.000000   0.0000   \n5      0.000000        0.000000           0.000000   0.0000   \n6      0.011364        0.000000           0.000000   0.0000   \n7      0.000000        0.000000           0.000000   0.0000   \n8      0.000000        0.000000           0.000000   0.0000   \n9      0.011494        0.011494           0.011494   0.0000   \n10     0.000000        0.000000           0.000000   0.0000   \n11     0.000000        0.000000           0.000000   0.0000   \n12     0.000000        0.000000           0.000000   0.0000   \n13     0.000000        0.000000           0.000000   0.0000   \n14     0.000000        0.000000           0.000000   0.0000   \n15     0.000000        0.000000           0.000000   0.0000   \n16     0.020833        0.000000           0.000000   0.0000   \n17     0.000000        0.000000           0.000000   0.0000   \n18     0.000000        0.000000           0.000000   0.0000   \n19     0.000000        0.000000           0.000000   0.0000   \n20     0.000000        0.000000           0.000000   0.0000   \n21     0.000000        0.000000           0.000000   0.0000   \n22     0.026316        0.000000           0.000000   0.0000   \n23     0.000000        0.000000           0.000000   0.0000   \n24     0.000000        0.000000           0.000000   0.0000   \n25     0.023810        0.000000           0.000000   0.0000   \n26     0.000000        0.000000           0.000000   0.0000   \n27     0.000000        0.000000           0.000000   0.0000   \n\n    Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\n0               0.0000        0.0000           0.000            0.000   \n1               0.0000        0.0000           0.000            0.000   \n2               0.0000        0.0000           0.000            0.000   \n3               0.0625        0.0625           0.125            0.125   \n4               0.0000        0.0000           0.000            0.000   \n5               0.0000        0.0000           0.000            0.000   \n6               0.0000        0.0000           0.000            0.000   \n7               0.0000        0.0000           0.000            0.000   \n8               0.0000        0.0000           0.000            0.000   \n9               0.0000        0.0000           0.000            0.000   \n10              0.0000        0.0000           0.000            0.000   \n11              0.0000        0.0000           0.000            0.000   \n12              0.0000        0.0000           0.000            0.000   \n13              0.0000        0.0000           0.000            0.000   \n14              0.0000        0.0000           0.000            0.000   \n15              0.0000        0.0000           0.000            0.000   \n16              0.0000        0.0000           0.000            0.000   \n17              0.0000        0.0000           0.000            0.000   \n18              0.0000        0.0000           0.000            0.000   \n19              0.0000        0.0000           0.000            0.000   \n20              0.0000        0.0000           0.000            0.000   \n21              0.0000        0.0000           0.000            0.000   \n22              0.0000        0.0000           0.000            0.000   \n23              0.0000        0.0000           0.000            0.000   \n24              0.0000        0.0000           0.000            0.000   \n25              0.0000        0.0000           0.000            0.000   \n26              0.0000        0.0000           0.000            0.000   \n27              0.0000        0.0000           0.000            0.000   \n\n    Airport Terminal  American Restaurant  Antique Shop  Aquarium  \\\n0              0.000             0.040000      0.000000      0.00   \n1              0.000             0.000000      0.000000      0.00   \n2              0.000             0.000000      0.000000      0.00   \n3              0.125             0.000000      0.000000      0.00   \n4              0.000             0.000000      0.000000      0.00   \n5              0.000             0.000000      0.000000      0.00   \n6              0.000             0.011364      0.000000      0.00   \n7              0.000             0.000000      0.000000      0.00   \n8              0.000             0.000000      0.000000      0.00   \n9              0.000             0.011494      0.000000      0.00   \n10             0.000             0.030000      0.000000      0.00   \n11             0.000             0.000000      0.000000      0.00   \n12             0.000             0.030000      0.000000      0.00   \n13             0.000             0.030000      0.000000      0.00   \n14             0.000             0.000000      0.000000      0.00   \n15             0.000             0.000000      0.000000      0.05   \n16             0.000             0.000000      0.020833      0.00   \n17             0.000             0.000000      0.000000      0.00   \n18             0.000             0.000000      0.000000      0.00   \n19             0.000             0.010000      0.000000      0.00   \n20             0.000             0.020000      0.000000      0.00   \n21             0.000             0.000000      0.010638      0.00   \n22             0.000             0.052632      0.000000      0.00   \n23             0.000             0.000000      0.000000      0.00   \n24             0.000             0.000000      0.000000      0.00   \n25             0.000             0.023810      0.000000      0.00   \n26             0.000             0.000000      0.000000      0.00   \n27             0.000             0.000000      0.000000      0.00   \n\n    Art Gallery  Art Museum  Arts & Crafts Store  Asian Restaurant  \\\n0      0.010000    0.010000             0.000000              0.02   \n1      0.018182    0.000000             0.000000              0.00   \n2      0.000000    0.000000             0.000000              0.00   \n3      0.000000    0.000000             0.000000              0.00   \n4      0.000000    0.000000             0.000000              0.00   \n5      0.000000    0.000000             0.000000              0.00   \n6      0.000000    0.011364             0.011364              0.00   \n7      0.000000    0.000000             0.010000              0.00   \n8      0.000000    0.000000             0.000000              0.00   \n9      0.000000    0.000000             0.011494              0.00   \n10     0.010000    0.000000             0.000000              0.00   \n11     0.000000    0.000000             0.000000              0.00   \n12     0.010000    0.000000             0.000000              0.01   \n13     0.010000    0.000000             0.000000              0.02   \n14     0.000000    0.000000             0.000000              0.00   \n15     0.010000    0.000000             0.000000              0.00   \n16     0.020833    0.000000             0.000000              0.00   \n17     0.000000    0.000000             0.000000              0.00   \n18     0.000000    0.000000             0.000000              0.00   \n19     0.010000    0.000000             0.000000              0.00   \n20     0.010000    0.000000             0.000000              0.00   \n21     0.021277    0.000000             0.000000              0.00   \n22     0.000000    0.000000             0.000000              0.00   \n23     0.000000    0.000000             0.000000              0.00   \n24     0.000000    0.000000             0.000000              0.00   \n25     0.000000    0.000000             0.000000              0.00   \n26     0.000000    0.000000             0.000000              0.00   \n27     0.000000    0.000000             0.000000              0.00   \n\n    Auto Workshop  BBQ Joint  Baby Store  Bagel Shop    Bakery      Bank  \\\n0        0.000000       0.00    0.000000    0.000000  0.030000  0.000000   \n1        0.000000       0.00    0.000000    0.018182  0.036364  0.000000   \n2        0.052632       0.00    0.000000    0.000000  0.000000  0.000000   \n3        0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n4        0.000000       0.00    0.000000    0.000000  0.043478  0.021739   \n5        0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n6        0.000000       0.00    0.000000    0.000000  0.022727  0.000000   \n7        0.000000       0.00    0.000000    0.010000  0.040000  0.000000   \n8        0.000000       0.00    0.066667    0.000000  0.000000  0.000000   \n9        0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n10       0.000000       0.00    0.000000    0.000000  0.030000  0.000000   \n11       0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n12       0.000000       0.00    0.000000    0.000000  0.030000  0.000000   \n13       0.000000       0.00    0.000000    0.000000  0.030000  0.000000   \n14       0.000000       0.00    0.000000    0.000000  0.058824  0.000000   \n15       0.000000       0.00    0.000000    0.000000  0.030000  0.000000   \n16       0.000000       0.00    0.000000    0.000000  0.062500  0.020833   \n17       0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n18       0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n19       0.000000       0.00    0.000000    0.000000  0.010000  0.010000   \n20       0.000000       0.01    0.000000    0.010000  0.030000  0.010000   \n21       0.000000       0.00    0.000000    0.010638  0.021277  0.000000   \n22       0.000000       0.00    0.000000    0.000000  0.052632  0.026316   \n23       0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n24       0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n25       0.000000       0.00    0.000000    0.000000  0.023810  0.000000   \n26       0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n27       0.000000       0.00    0.000000    0.000000  0.000000  0.000000   \n\n         Bar  Baseball Stadium  Basketball Stadium     Beach  Bed & Breakfast  \\\n0   0.040000              0.00            0.000000  0.000000             0.00   \n1   0.000000              0.00            0.018182  0.018182             0.00   \n2   0.000000              0.00            0.000000  0.000000             0.00   \n3   0.062500              0.00            0.000000  0.000000             0.00   \n4   0.021739              0.00            0.000000  0.000000             0.00   \n5   0.000000              0.00            0.000000  0.000000             0.00   \n6   0.022727              0.00            0.000000  0.000000             0.00   \n7   0.040000              0.00            0.000000  0.000000             0.01   \n8   0.000000              0.00            0.000000  0.000000             0.00   \n9   0.000000              0.00            0.000000  0.000000             0.00   \n10  0.020000              0.00            0.000000  0.000000             0.00   \n11  0.000000              0.00            0.000000  0.000000             0.00   \n12  0.020000              0.00            0.010000  0.000000             0.00   \n13  0.030000              0.00            0.000000  0.000000             0.00   \n14  0.058824              0.00            0.000000  0.000000             0.00   \n15  0.020000              0.02            0.010000  0.000000             0.00   \n16  0.000000              0.00            0.000000  0.000000             0.00   \n17  0.000000              0.00            0.000000  0.000000             0.00   \n18  0.000000              0.00            0.000000  0.000000             0.00   \n19  0.010000              0.00            0.000000  0.000000             0.00   \n20  0.000000              0.00            0.000000  0.000000             0.00   \n21  0.000000              0.00            0.010638  0.000000             0.00   \n22  0.026316              0.00            0.000000  0.000000             0.00   \n23  0.000000              0.00            0.000000  0.000000             0.00   \n24  0.000000              0.00            0.000000  0.000000             0.00   \n25  0.000000              0.00            0.000000  0.000000             0.00   \n26  0.000000              0.00            0.000000  0.000000             0.00   \n27  0.000000              0.00            0.000000  0.000000             0.00   \n\n    Beer Bar  Beer Store  Belgian Restaurant    Bistro  Boat or Ferry  \\\n0   0.000000    0.000000            0.000000  0.000000         0.0000   \n1   0.036364    0.000000            0.018182  0.018182         0.0000   \n2   0.000000    0.000000            0.000000  0.000000         0.0000   \n3   0.000000    0.000000            0.000000  0.000000         0.0625   \n4   0.000000    0.021739            0.000000  0.000000         0.0000   \n5   0.000000    0.000000            0.000000  0.000000         0.0000   \n6   0.000000    0.000000            0.000000  0.000000         0.0000   \n7   0.010000    0.000000            0.010000  0.000000         0.0000   \n8   0.000000    0.000000            0.000000  0.000000         0.0000   \n9   0.000000    0.000000            0.000000  0.000000         0.0000   \n10  0.020000    0.000000            0.000000  0.000000         0.0000   \n11  0.000000    0.000000            0.000000  0.000000         0.0000   \n12  0.020000    0.000000            0.000000  0.000000         0.0000   \n13  0.020000    0.000000            0.000000  0.000000         0.0000   \n14  0.029412    0.029412            0.000000  0.000000         0.0000   \n15  0.010000    0.000000            0.000000  0.010000         0.0000   \n16  0.000000    0.020833            0.000000  0.000000         0.0000   \n17  0.000000    0.000000            0.000000  0.000000         0.0000   \n18  0.000000    0.000000            0.000000  0.000000         0.0000   \n19  0.010000    0.000000            0.000000  0.000000         0.0000   \n20  0.020000    0.000000            0.000000  0.000000         0.0000   \n21  0.031915    0.000000            0.010638  0.010638         0.0000   \n22  0.000000    0.000000            0.000000  0.000000         0.0000   \n23  0.000000    0.000000            0.000000  0.000000         0.0000   \n24  0.000000    0.000000            0.000000  0.000000         0.0000   \n25  0.000000    0.000000            0.000000  0.000000         0.0000   \n26  0.000000    0.000000            0.000000  0.000000         0.0000   \n27  0.000000    0.000000            0.000000  0.000000         0.0000   \n\n    Bookstore  Boutique  Brazilian Restaurant  Breakfast Spot   Brewery  \\\n0    0.010000    0.0000                  0.01        0.020000  0.000000   \n1    0.000000    0.0000                  0.00        0.018182  0.000000   \n2    0.000000    0.0000                  0.00        0.000000  0.052632   \n3    0.000000    0.0625                  0.00        0.000000  0.000000   \n4    0.000000    0.0000                  0.00        0.021739  0.000000   \n5    0.000000    0.0000                  0.00        0.000000  0.000000   \n6    0.000000    0.0000                  0.00        0.000000  0.000000   \n7    0.000000    0.0000                  0.00        0.010000  0.010000   \n8    0.000000    0.0000                  0.00        0.000000  0.000000   \n9    0.011494    0.0000                  0.00        0.011494  0.000000   \n10   0.010000    0.0000                  0.00        0.020000  0.000000   \n11   0.000000    0.0000                  0.00        0.000000  0.000000   \n12   0.010000    0.0000                  0.00        0.010000  0.000000   \n13   0.010000    0.0000                  0.01        0.000000  0.000000   \n14   0.058824    0.0000                  0.00        0.000000  0.000000   \n15   0.000000    0.0000                  0.00        0.000000  0.030000   \n16   0.000000    0.0000                  0.00        0.041667  0.020833   \n17   0.000000    0.0000                  0.00        0.000000  0.000000   \n18   0.000000    0.0000                  0.00        0.000000  0.000000   \n19   0.010000    0.0000                  0.00        0.000000  0.000000   \n20   0.010000    0.0000                  0.00        0.030000  0.000000   \n21   0.010638    0.0000                  0.00        0.021277  0.000000   \n22   0.026316    0.0000                  0.00        0.000000  0.026316   \n23   0.000000    0.0000                  0.00        0.000000  0.000000   \n24   0.000000    0.0000                  0.00        0.000000  0.055556   \n25   0.023810    0.0000                  0.00        0.000000  0.023810   \n26   0.000000    0.0000                  0.00        0.000000  0.000000   \n27   0.000000    0.0000                  0.00        0.000000  0.000000   \n\n    Bubble Tea Shop  Burger Joint  Burrito Place  Bus Line   Butcher  \\\n0          0.000000      0.030000       0.010000      0.00  0.000000   \n1          0.000000      0.000000       0.000000      0.00  0.000000   \n2          0.000000      0.000000       0.052632      0.00  0.052632   \n3          0.000000      0.000000       0.000000      0.00  0.000000   \n4          0.000000      0.000000       0.000000      0.00  0.021739   \n5          0.000000      0.000000       0.000000      0.00  0.000000   \n6          0.022727      0.034091       0.000000      0.00  0.000000   \n7          0.010000      0.020000       0.010000      0.00  0.000000   \n8          0.000000      0.000000       0.000000      0.00  0.000000   \n9          0.022989      0.022989       0.011494      0.00  0.000000   \n10         0.000000      0.010000       0.000000      0.00  0.000000   \n11         0.000000      0.000000       0.000000      0.00  0.000000   \n12         0.000000      0.020000       0.000000      0.00  0.000000   \n13         0.000000      0.020000       0.010000      0.00  0.000000   \n14         0.000000      0.000000       0.000000      0.00  0.000000   \n15         0.010000      0.000000       0.000000      0.00  0.000000   \n16         0.000000      0.000000       0.000000      0.00  0.000000   \n17         0.000000      0.000000       0.000000      0.00  0.000000   \n18         0.000000      0.000000       0.000000      0.00  0.000000   \n19         0.020000      0.010000       0.010000      0.00  0.000000   \n20         0.000000      0.000000       0.000000      0.00  0.000000   \n21         0.000000      0.000000       0.000000      0.00  0.000000   \n22         0.000000      0.000000       0.000000      0.00  0.000000   \n23         0.000000      0.000000       0.000000      0.00  0.000000   \n24         0.000000      0.055556       0.055556      0.00  0.000000   \n25         0.023810      0.000000       0.000000      0.00  0.000000   \n26         0.000000      0.000000       0.000000      0.25  0.000000   \n27         0.000000      0.000000       0.000000      0.00  0.000000   \n\n        Caf\u00e9  Camera Store  Caribbean Restaurant  Check Cashing Service  \\\n0   0.050000          0.00              0.000000                   0.00   \n1   0.036364          0.00              0.000000                   0.00   \n2   0.000000          0.00              0.000000                   0.00   \n3   0.000000          0.00              0.000000                   0.00   \n4   0.043478          0.00              0.021739                   0.00   \n5   0.000000          0.00              0.000000                   0.00   \n6   0.045455          0.00              0.000000                   0.00   \n7   0.080000          0.00              0.020000                   0.00   \n8   0.200000          0.00              0.000000                   0.00   \n9   0.022989          0.00              0.011494                   0.00   \n10  0.070000          0.00              0.000000                   0.00   \n11  0.000000          0.00              0.000000                   0.25   \n12  0.070000          0.00              0.000000                   0.00   \n13  0.070000          0.00              0.000000                   0.00   \n14  0.117647          0.00              0.000000                   0.00   \n15  0.040000          0.00              0.000000                   0.00   \n16  0.041667          0.00              0.000000                   0.00   \n17  0.000000          0.00              0.000000                   0.00   \n18  0.000000          0.00              0.000000                   0.00   \n19  0.040000          0.00              0.000000                   0.00   \n20  0.060000          0.01              0.000000                   0.00   \n21  0.042553          0.00              0.000000                   0.00   \n22  0.105263          0.00              0.000000                   0.00   \n23  0.000000          0.00              0.000000                   0.00   \n24  0.000000          0.00              0.000000                   0.00   \n25  0.023810          0.00              0.023810                   0.00   \n26  0.000000          0.00              0.000000                   0.00   \n27  0.000000          0.00              0.000000                   0.00   \n\n    Cheese Shop  Chinese Restaurant  Chocolate Shop    Church  Clothing Store  \\\n0      0.000000            0.000000        0.000000  0.000000        0.020000   \n1      0.036364            0.000000        0.000000  0.000000        0.018182   \n2      0.000000            0.000000        0.000000  0.000000        0.000000   \n3      0.000000            0.000000        0.000000  0.000000        0.000000   \n4      0.000000            0.021739        0.000000  0.000000        0.000000   \n5      0.000000            0.000000        0.000000  0.000000        0.000000   \n6      0.000000            0.022727        0.000000  0.000000        0.011364   \n7      0.010000            0.030000        0.000000  0.000000        0.000000   \n8      0.000000            0.000000        0.000000  0.000000        0.000000   \n9      0.000000            0.000000        0.000000  0.000000        0.000000   \n10     0.000000            0.010000        0.000000  0.000000        0.000000   \n11     0.000000            0.000000        0.000000  0.000000        0.000000   \n12     0.000000            0.010000        0.000000  0.000000        0.000000   \n13     0.000000            0.000000        0.000000  0.000000        0.000000   \n14     0.000000            0.029412        0.000000  0.000000        0.000000   \n15     0.000000            0.010000        0.000000  0.000000        0.000000   \n16     0.000000            0.000000        0.020833  0.000000        0.000000   \n17     0.000000            0.000000        0.000000  0.000000        0.000000   \n18     0.000000            0.000000        0.000000  0.000000        0.000000   \n19     0.000000            0.010000        0.000000  0.000000        0.070000   \n20     0.010000            0.000000        0.000000  0.010000        0.030000   \n21     0.021277            0.000000        0.000000  0.010638        0.010638   \n22     0.026316            0.026316        0.000000  0.000000        0.026316   \n23     0.000000            0.000000        0.000000  0.000000        0.000000   \n24     0.000000            0.000000        0.000000  0.000000        0.000000   \n25     0.000000            0.000000        0.000000  0.000000        0.000000   \n26     0.000000            0.000000        0.000000  0.000000        0.000000   \n27     0.000000            0.000000        0.000000  0.000000        0.000000   \n\n    Cocktail Bar  Coffee Shop  College Arts Building  College Gym  \\\n0       0.000000     0.050000               0.000000     0.000000   \n1       0.054545     0.090909               0.000000     0.000000   \n2       0.000000     0.000000               0.000000     0.000000   \n3       0.000000     0.062500               0.000000     0.000000   \n4       0.000000     0.086957               0.000000     0.000000   \n5       0.000000     0.000000               0.000000     0.000000   \n6       0.000000     0.159091               0.000000     0.000000   \n7       0.020000     0.040000               0.000000     0.000000   \n8       0.000000     0.066667               0.000000     0.000000   \n9       0.000000     0.068966               0.000000     0.000000   \n10      0.020000     0.120000               0.000000     0.000000   \n11      0.000000     0.000000               0.000000     0.000000   \n12      0.010000     0.140000               0.000000     0.000000   \n13      0.000000     0.110000               0.000000     0.000000   \n14      0.000000     0.029412               0.029412     0.029412   \n15      0.000000     0.120000               0.000000     0.000000   \n16      0.000000     0.166667               0.000000     0.000000   \n17      0.000000     0.000000               0.000000     0.000000   \n18      0.000000     0.000000               0.000000     0.000000   \n19      0.000000     0.100000               0.000000     0.000000   \n20      0.030000     0.060000               0.000000     0.000000   \n21      0.031915     0.106383               0.000000     0.000000   \n22      0.000000     0.078947               0.000000     0.000000   \n23      0.000000     0.000000               0.000000     0.000000   \n24      0.000000     0.000000               0.000000     0.000000   \n25      0.000000     0.095238               0.000000     0.000000   \n26      0.000000     0.000000               0.000000     0.000000   \n27      0.000000     0.000000               0.000000     0.000000   \n\n    College Rec Center  Colombian Restaurant  Comfort Food Restaurant  \\\n0                 0.00                  0.01                 0.000000   \n1                 0.00                  0.00                 0.018182   \n2                 0.00                  0.00                 0.000000   \n3                 0.00                  0.00                 0.000000   \n4                 0.00                  0.00                 0.000000   \n5                 0.00                  0.00                 0.000000   \n6                 0.00                  0.00                 0.000000   \n7                 0.00                  0.00                 0.010000   \n8                 0.00                  0.00                 0.000000   \n9                 0.00                  0.00                 0.000000   \n10                0.00                  0.00                 0.000000   \n11                0.00                  0.00                 0.000000   \n12                0.00                  0.00                 0.000000   \n13                0.00                  0.00                 0.000000   \n14                0.00                  0.00                 0.029412   \n15                0.00                  0.00                 0.000000   \n16                0.00                  0.00                 0.000000   \n17                0.00                  0.00                 0.000000   \n18                0.00                  0.00                 0.000000   \n19                0.01                  0.00                 0.000000   \n20                0.00                  0.00                 0.000000   \n21                0.00                  0.00                 0.010638   \n22                0.00                  0.00                 0.026316   \n23                0.00                  0.00                 0.000000   \n24                0.00                  0.00                 0.000000   \n25                0.00                  0.00                 0.000000   \n26                0.00                  0.00                 0.000000   \n27                0.00                  0.00                 0.000000   \n\n    Comic Shop  Concert Hall  Convenience Store  Cosmetics Shop  \\\n0     0.000000      0.020000           0.000000        0.030000   \n1     0.000000      0.018182           0.000000        0.000000   \n2     0.052632      0.000000           0.000000        0.000000   \n3     0.000000      0.000000           0.000000        0.000000   \n4     0.000000      0.000000           0.000000        0.000000   \n5     0.000000      0.000000           0.000000        0.000000   \n6     0.011364      0.000000           0.000000        0.000000   \n7     0.000000      0.000000           0.000000        0.000000   \n8     0.000000      0.000000           0.066667        0.000000   \n9     0.000000      0.000000           0.000000        0.000000   \n10    0.000000      0.010000           0.000000        0.000000   \n11    0.000000      0.000000           0.000000        0.000000   \n12    0.000000      0.010000           0.000000        0.000000   \n13    0.000000      0.020000           0.000000        0.000000   \n14    0.000000      0.000000           0.000000        0.000000   \n15    0.000000      0.000000           0.000000        0.000000   \n16    0.000000      0.000000           0.000000        0.020833   \n17    0.000000      0.000000           0.000000        0.000000   \n18    0.000000      0.000000           0.000000        0.000000   \n19    0.010000      0.000000           0.000000        0.040000   \n20    0.000000      0.000000           0.000000        0.030000   \n21    0.000000      0.010638           0.000000        0.010638   \n22    0.000000      0.000000           0.026316        0.000000   \n23    0.000000      0.000000           0.000000        0.000000   \n24    0.000000      0.000000           0.000000        0.000000   \n25    0.000000      0.000000           0.000000        0.023810   \n26    0.000000      0.000000           0.250000        0.000000   \n27    0.000000      0.000000           0.000000        0.000000   \n\n    Coworking Space  Creperie  Dance Studio  Deli / Bodega  Department Store  \\\n0          0.000000  0.000000      0.010000       0.010000          0.010000   \n1          0.000000  0.018182      0.000000       0.000000          0.000000   \n2          0.000000  0.000000      0.000000       0.000000          0.000000   \n3          0.000000  0.000000      0.000000       0.000000          0.000000   \n4          0.000000  0.000000      0.000000       0.021739          0.000000   \n5          0.000000  0.000000      0.000000       0.000000          0.000000   \n6          0.000000  0.000000      0.000000       0.000000          0.011364   \n7          0.000000  0.000000      0.000000       0.000000          0.000000   \n8          0.000000  0.000000      0.000000       0.000000          0.000000   \n9          0.000000  0.011494      0.011494       0.000000          0.000000   \n10         0.000000  0.010000      0.000000       0.030000          0.010000   \n11         0.000000  0.000000      0.000000       0.000000          0.000000   \n12         0.000000  0.000000      0.000000       0.030000          0.000000   \n13         0.000000  0.000000      0.000000       0.030000          0.000000   \n14         0.000000  0.000000      0.000000       0.000000          0.000000   \n15         0.000000  0.000000      0.010000       0.010000          0.000000   \n16         0.000000  0.000000      0.000000       0.000000          0.000000   \n17         0.000000  0.000000      0.000000       0.000000          0.000000   \n18         0.000000  0.000000      0.000000       0.000000          0.000000   \n19         0.000000  0.000000      0.000000       0.000000          0.010000   \n20         0.000000  0.010000      0.000000       0.000000          0.010000   \n21         0.000000  0.021277      0.000000       0.010638          0.000000   \n22         0.026316  0.000000      0.000000       0.000000          0.000000   \n23         0.000000  0.000000      0.000000       0.000000          0.000000   \n24         0.000000  0.000000      0.000000       0.000000          0.000000   \n25         0.000000  0.000000      0.000000       0.000000          0.000000   \n26         0.000000  0.000000      0.000000       0.000000          0.000000   \n27         0.000000  0.000000      0.000000       0.000000          0.000000   \n\n    Dessert Shop     Diner  Discount Store   Dog Run  Doner Restaurant  \\\n0       0.000000  0.000000        0.000000  0.000000              0.00   \n1       0.000000  0.018182        0.000000  0.000000              0.00   \n2       0.000000  0.000000        0.000000  0.000000              0.00   \n3       0.000000  0.000000        0.000000  0.000000              0.00   \n4       0.000000  0.021739        0.000000  0.000000              0.00   \n5       0.000000  0.000000        0.000000  0.000000              0.00   \n6       0.011364  0.011364        0.011364  0.000000              0.00   \n7       0.020000  0.000000        0.000000  0.000000              0.01   \n8       0.000000  0.066667        0.000000  0.000000              0.00   \n9       0.000000  0.011494        0.000000  0.011494              0.00   \n10      0.000000  0.000000        0.000000  0.000000              0.00   \n11      0.000000  0.000000        0.250000  0.000000              0.00   \n12      0.000000  0.000000        0.000000  0.000000              0.00   \n13      0.000000  0.000000        0.000000  0.000000              0.00   \n14      0.029412  0.000000        0.000000  0.000000              0.00   \n15      0.000000  0.000000        0.010000  0.000000              0.00   \n16      0.020833  0.000000        0.000000  0.000000              0.00   \n17      0.000000  0.000000        0.000000  0.000000              0.00   \n18      0.000000  0.000000        0.000000  0.000000              0.00   \n19      0.010000  0.020000        0.000000  0.000000              0.00   \n20      0.000000  0.020000        0.000000  0.000000              0.00   \n21      0.000000  0.010638        0.000000  0.000000              0.00   \n22      0.000000  0.000000        0.000000  0.000000              0.00   \n23      0.000000  0.000000        0.000000  0.000000              0.00   \n24      0.000000  0.000000        0.000000  0.000000              0.00   \n25      0.023810  0.023810        0.000000  0.000000              0.00   \n26      0.000000  0.000000        0.000000  0.000000              0.00   \n27      0.000000  0.000000        0.000000  0.000000              0.00   \n\n    Donut Shop  Dumpling Restaurant  Eastern European Restaurant  \\\n0     0.000000                 0.00                     0.000000   \n1     0.000000                 0.00                     0.018182   \n2     0.000000                 0.00                     0.000000   \n3     0.000000                 0.00                     0.000000   \n4     0.000000                 0.00                     0.000000   \n5     0.000000                 0.00                     0.000000   \n6     0.011364                 0.00                     0.000000   \n7     0.010000                 0.04                     0.000000   \n8     0.000000                 0.00                     0.000000   \n9     0.000000                 0.00                     0.000000   \n10    0.000000                 0.00                     0.000000   \n11    0.000000                 0.00                     0.000000   \n12    0.000000                 0.00                     0.000000   \n13    0.000000                 0.00                     0.000000   \n14    0.000000                 0.00                     0.000000   \n15    0.000000                 0.00                     0.000000   \n16    0.000000                 0.00                     0.000000   \n17    0.000000                 0.00                     0.000000   \n18    0.000000                 0.00                     0.000000   \n19    0.000000                 0.00                     0.000000   \n20    0.000000                 0.00                     0.010000   \n21    0.000000                 0.00                     0.010638   \n22    0.000000                 0.00                     0.000000   \n23    0.000000                 0.00                     0.000000   \n24    0.000000                 0.00                     0.000000   \n25    0.000000                 0.00                     0.000000   \n26    0.000000                 0.00                     0.000000   \n27    0.000000                 0.00                     0.000000   \n\n    Electronics Store  Ethiopian Restaurant  Event Space  Falafel Restaurant  \\\n0            0.010000              0.000000     0.000000            0.000000   \n1            0.000000              0.000000     0.000000            0.000000   \n2            0.000000              0.000000     0.000000            0.000000   \n3            0.000000              0.000000     0.000000            0.000000   \n4            0.000000              0.000000     0.000000            0.000000   \n5            0.000000              0.000000     0.000000            0.000000   \n6            0.000000              0.000000     0.000000            0.011364   \n7            0.000000              0.000000     0.000000            0.000000   \n8            0.000000              0.000000     0.000000            0.000000   \n9            0.000000              0.011494     0.000000            0.000000   \n10           0.000000              0.000000     0.000000            0.000000   \n11           0.000000              0.000000     0.000000            0.000000   \n12           0.000000              0.000000     0.000000            0.000000   \n13           0.000000              0.000000     0.000000            0.000000   \n14           0.000000              0.000000     0.000000            0.000000   \n15           0.000000              0.000000     0.010000            0.000000   \n16           0.020833              0.000000     0.020833            0.000000   \n17           0.000000              0.000000     0.000000            0.000000   \n18           0.000000              0.000000     0.000000            0.000000   \n19           0.000000              0.010000     0.000000            0.000000   \n20           0.010000              0.000000     0.000000            0.000000   \n21           0.000000              0.000000     0.000000            0.000000   \n22           0.000000              0.000000     0.000000            0.000000   \n23           0.000000              0.000000     0.000000            0.000000   \n24           0.000000              0.000000     0.000000            0.000000   \n25           0.000000              0.000000     0.000000            0.000000   \n26           0.000000              0.000000     0.000000            0.000000   \n27           0.000000              0.000000     0.000000            0.000000   \n\n    Farmers Market  Fast Food Restaurant  Field  Filipino Restaurant  \\\n0         0.000000              0.000000   0.00                 0.00   \n1         0.036364              0.000000   0.00                 0.00   \n2         0.052632              0.052632   0.00                 0.00   \n3         0.000000              0.000000   0.00                 0.00   \n4         0.021739              0.000000   0.00                 0.00   \n5         0.000000              0.166667   0.00                 0.00   \n6         0.000000              0.000000   0.00                 0.00   \n7         0.020000              0.000000   0.00                 0.01   \n8         0.000000              0.000000   0.00                 0.00   \n9         0.000000              0.022989   0.00                 0.00   \n10        0.000000              0.010000   0.00                 0.00   \n11        0.000000              0.000000   0.00                 0.00   \n12        0.000000              0.010000   0.00                 0.00   \n13        0.000000              0.010000   0.00                 0.00   \n14        0.000000              0.000000   0.00                 0.00   \n15        0.000000              0.000000   0.00                 0.00   \n16        0.020833              0.000000   0.00                 0.00   \n17        0.000000              0.000000   0.25                 0.00   \n18        0.000000              0.000000   0.00                 0.00   \n19        0.000000              0.020000   0.00                 0.00   \n20        0.020000              0.010000   0.00                 0.00   \n21        0.021277              0.021277   0.00                 0.00   \n22        0.000000              0.000000   0.00                 0.00   \n23        0.000000              0.000000   0.00                 0.00   \n24        0.000000              0.055556   0.00                 0.00   \n25        0.000000              0.000000   0.00                 0.00   \n26        0.000000              0.000000   0.00                 0.00   \n27        0.000000              0.000000   0.00                 0.00   \n\n    Fish & Chips Shop  Fish Market  Flower Shop  Food & Drink Shop  \\\n0            0.000000     0.000000     0.000000           0.000000   \n1            0.000000     0.018182     0.000000           0.000000   \n2            0.000000     0.000000     0.000000           0.000000   \n3            0.000000     0.000000     0.000000           0.000000   \n4            0.000000     0.000000     0.021739           0.000000   \n5            0.000000     0.000000     0.000000           0.000000   \n6            0.000000     0.000000     0.000000           0.000000   \n7            0.010000     0.000000     0.000000           0.000000   \n8            0.000000     0.000000     0.000000           0.000000   \n9            0.000000     0.000000     0.000000           0.011494   \n10           0.000000     0.000000     0.000000           0.000000   \n11           0.000000     0.000000     0.000000           0.000000   \n12           0.000000     0.000000     0.000000           0.000000   \n13           0.000000     0.000000     0.000000           0.000000   \n14           0.000000     0.000000     0.000000           0.000000   \n15           0.000000     0.000000     0.000000           0.000000   \n16           0.000000     0.000000     0.000000           0.000000   \n17           0.000000     0.000000     0.000000           0.000000   \n18           0.000000     0.000000     0.000000           0.000000   \n19           0.000000     0.000000     0.000000           0.000000   \n20           0.000000     0.010000     0.000000           0.000000   \n21           0.000000     0.010638     0.000000           0.000000   \n22           0.000000     0.026316     0.000000           0.000000   \n23           0.000000     0.000000     0.000000           0.000000   \n24           0.055556     0.000000     0.000000           0.000000   \n25           0.000000     0.000000     0.000000           0.000000   \n26           0.000000     0.000000     0.000000           0.000000   \n27           0.000000     0.000000     0.000000           0.000000   \n\n    Food Court  Food Truck  Fountain  French Restaurant  Fried Chicken Joint  \\\n0         0.01    0.000000  0.000000           0.000000             0.000000   \n1         0.00    0.000000  0.018182           0.018182             0.000000   \n2         0.00    0.000000  0.000000           0.000000             0.000000   \n3         0.00    0.000000  0.000000           0.000000             0.000000   \n4         0.00    0.000000  0.000000           0.000000             0.000000   \n5         0.00    0.000000  0.000000           0.000000             0.000000   \n6         0.00    0.000000  0.000000           0.011364             0.011364   \n7         0.01    0.000000  0.000000           0.000000             0.000000   \n8         0.00    0.000000  0.000000           0.000000             0.000000   \n9         0.00    0.000000  0.000000           0.000000             0.000000   \n10        0.01    0.010000  0.000000           0.010000             0.010000   \n11        0.00    0.000000  0.000000           0.000000             0.000000   \n12        0.01    0.000000  0.000000           0.000000             0.010000   \n13        0.01    0.000000  0.000000           0.000000             0.010000   \n14        0.00    0.000000  0.000000           0.029412             0.000000   \n15        0.00    0.000000  0.000000           0.000000             0.030000   \n16        0.00    0.000000  0.000000           0.020833             0.000000   \n17        0.00    0.000000  0.000000           0.000000             0.000000   \n18        0.00    0.000000  0.000000           0.000000             0.000000   \n19        0.01    0.000000  0.000000           0.000000             0.000000   \n20        0.00    0.010000  0.010000           0.010000             0.000000   \n21        0.00    0.010638  0.010638           0.010638             0.000000   \n22        0.00    0.000000  0.000000           0.000000             0.000000   \n23        0.00    0.000000  0.000000           0.000000             0.000000   \n24        0.00    0.000000  0.000000           0.000000             0.000000   \n25        0.00    0.000000  0.000000           0.000000             0.000000   \n26        0.00    0.000000  0.000000           0.000000             0.000000   \n27        0.00    0.000000  0.000000           0.000000             0.000000   \n\n    Fruit & Vegetable Store  Furniture / Home Store  Gaming Cafe    Garden  \\\n0                   0.00000                0.000000         0.00  0.000000   \n1                   0.00000                0.000000         0.00  0.000000   \n2                   0.00000                0.000000         0.00  0.052632   \n3                   0.00000                0.000000         0.00  0.000000   \n4                   0.00000                0.000000         0.00  0.000000   \n5                   0.00000                0.000000         0.00  0.000000   \n6                   0.00000                0.011364         0.00  0.000000   \n7                   0.00000                0.010000         0.02  0.000000   \n8                   0.00000                0.000000         0.00  0.000000   \n9                   0.00000                0.000000         0.00  0.000000   \n10                  0.00000                0.000000         0.00  0.000000   \n11                  0.00000                0.000000         0.00  0.000000   \n12                  0.00000                0.000000         0.00  0.000000   \n13                  0.00000                0.000000         0.00  0.000000   \n14                  0.00000                0.000000         0.00  0.000000   \n15                  0.00000                0.000000         0.00  0.000000   \n16                  0.00000                0.000000         0.00  0.000000   \n17                  0.00000                0.000000         0.00  0.000000   \n18                  0.00000                0.000000         0.00  0.000000   \n19                  0.00000                0.010000         0.00  0.000000   \n20                  0.00000                0.010000         0.00  0.000000   \n21                  0.00000                0.000000         0.00  0.000000   \n22                  0.00000                0.000000         0.00  0.000000   \n23                  0.00000                0.000000         0.00  0.000000   \n24                  0.00000                0.000000         0.00  0.000000   \n25                  0.02381                0.047619         0.00  0.000000   \n26                  0.00000                0.000000         0.00  0.000000   \n27                  0.00000                0.000000         0.00  0.000000   \n\n    Garden Center  Gastropub   Gay Bar  General Entertainment  General Travel  \\\n0        0.000000   0.020000  0.000000               0.000000            0.01   \n1        0.000000   0.000000  0.000000               0.000000            0.00   \n2        0.052632   0.000000  0.000000               0.000000            0.00   \n3        0.000000   0.000000  0.000000               0.000000            0.00   \n4        0.000000   0.021739  0.000000               0.021739            0.00   \n5        0.000000   0.000000  0.000000               0.000000            0.00   \n6        0.000000   0.011364  0.000000               0.000000            0.00   \n7        0.000000   0.000000  0.000000               0.000000            0.00   \n8        0.000000   0.000000  0.000000               0.000000            0.00   \n9        0.000000   0.022989  0.034483               0.011494            0.00   \n10       0.000000   0.030000  0.000000               0.000000            0.00   \n11       0.000000   0.000000  0.000000               0.000000            0.00   \n12       0.000000   0.030000  0.000000               0.000000            0.00   \n13       0.000000   0.030000  0.000000               0.000000            0.01   \n14       0.000000   0.000000  0.000000               0.000000            0.00   \n15       0.000000   0.000000  0.000000               0.000000            0.00   \n16       0.000000   0.000000  0.000000               0.000000            0.00   \n17       0.000000   0.000000  0.000000               0.000000            0.00   \n18       0.000000   0.000000  0.000000               0.000000            0.00   \n19       0.000000   0.010000  0.000000               0.000000            0.00   \n20       0.000000   0.030000  0.000000               0.000000            0.00   \n21       0.000000   0.010638  0.000000               0.000000            0.00   \n22       0.000000   0.052632  0.000000               0.000000            0.00   \n23       0.000000   0.000000  0.000000               0.000000            0.00   \n24       0.000000   0.000000  0.000000               0.000000            0.00   \n25       0.000000   0.000000  0.000000               0.000000            0.00   \n26       0.000000   0.000000  0.000000               0.000000            0.00   \n27       0.000000   0.000000  0.000000               0.000000            0.00   \n\n    German Restaurant  Gift Shop  Gluten-free Restaurant  Gourmet Shop  \\\n0                0.00   0.000000                    0.01      0.000000   \n1                0.00   0.000000                    0.00      0.018182   \n2                0.00   0.000000                    0.00      0.000000   \n3                0.00   0.000000                    0.00      0.000000   \n4                0.00   0.021739                    0.00      0.000000   \n5                0.00   0.000000                    0.00      0.000000   \n6                0.00   0.000000                    0.00      0.000000   \n7                0.00   0.000000                    0.00      0.010000   \n8                0.00   0.000000                    0.00      0.000000   \n9                0.00   0.000000                    0.00      0.000000   \n10               0.00   0.000000                    0.01      0.000000   \n11               0.00   0.000000                    0.00      0.000000   \n12               0.00   0.000000                    0.01      0.000000   \n13               0.00   0.000000                    0.01      0.000000   \n14               0.00   0.000000                    0.00      0.000000   \n15               0.00   0.000000                    0.00      0.000000   \n16               0.00   0.000000                    0.00      0.000000   \n17               0.00   0.000000                    0.00      0.000000   \n18               0.00   0.000000                    0.00      0.000000   \n19               0.00   0.000000                    0.00      0.000000   \n20               0.01   0.000000                    0.00      0.000000   \n21               0.00   0.000000                    0.00      0.010638   \n22               0.00   0.000000                    0.00      0.000000   \n23               0.00   0.000000                    0.00      0.000000   \n24               0.00   0.000000                    0.00      0.000000   \n25               0.00   0.000000                    0.00      0.000000   \n26               0.00   0.000000                    0.00      0.000000   \n27               0.00   0.000000                    0.00      0.000000   \n\n    Greek Restaurant  Grocery Store       Gym  Gym / Fitness Center  \\\n0           0.010000       0.000000  0.030000              0.010000   \n1           0.018182       0.000000  0.000000              0.000000   \n2           0.000000       0.000000  0.000000              0.052632   \n3           0.000000       0.000000  0.000000              0.000000   \n4           0.000000       0.021739  0.000000              0.000000   \n5           0.000000       0.000000  0.000000              0.000000   \n6           0.000000       0.000000  0.000000              0.011364   \n7           0.000000       0.020000  0.000000              0.000000   \n8           0.000000       0.200000  0.000000              0.000000   \n9           0.000000       0.011494  0.022989              0.000000   \n10          0.010000       0.000000  0.020000              0.010000   \n11          0.000000       0.000000  0.000000              0.000000   \n12          0.010000       0.000000  0.020000              0.010000   \n13          0.010000       0.000000  0.020000              0.010000   \n14          0.000000       0.000000  0.029412              0.000000   \n15          0.000000       0.000000  0.000000              0.000000   \n16          0.000000       0.000000  0.000000              0.020833   \n17          0.000000       0.000000  0.000000              0.000000   \n18          0.000000       0.000000  0.000000              0.000000   \n19          0.000000       0.000000  0.010000              0.010000   \n20          0.000000       0.010000  0.020000              0.000000   \n21          0.000000       0.000000  0.010638              0.000000   \n22          0.000000       0.000000  0.026316              0.026316   \n23          0.000000       0.000000  0.000000              0.000000   \n24          0.000000       0.000000  0.055556              0.000000   \n25          0.214286       0.023810  0.000000              0.000000   \n26          0.000000       0.250000  0.000000              0.000000   \n27          0.000000       0.000000  0.000000              0.000000   \n\n    Harbor / Marina  Health & Beauty Service  Health Food Store  \\\n0            0.0000                 0.000000           0.000000   \n1            0.0000                 0.000000           0.000000   \n2            0.0000                 0.000000           0.000000   \n3            0.0625                 0.000000           0.000000   \n4            0.0000                 0.000000           0.000000   \n5            0.0000                 0.000000           0.000000   \n6            0.0000                 0.000000           0.000000   \n7            0.0000                 0.000000           0.000000   \n8            0.0000                 0.000000           0.000000   \n9            0.0000                 0.011494           0.000000   \n10           0.0000                 0.000000           0.000000   \n11           0.0000                 0.000000           0.000000   \n12           0.0000                 0.000000           0.000000   \n13           0.0000                 0.000000           0.000000   \n14           0.0000                 0.000000           0.000000   \n15           0.0000                 0.000000           0.000000   \n16           0.0000                 0.000000           0.020833   \n17           0.0000                 0.000000           0.000000   \n18           0.0000                 0.000000           0.000000   \n19           0.0000                 0.000000           0.000000   \n20           0.0000                 0.000000           0.000000   \n21           0.0000                 0.000000           0.000000   \n22           0.0000                 0.000000           0.000000   \n23           0.0000                 0.000000           0.200000   \n24           0.0000                 0.000000           0.000000   \n25           0.0000                 0.000000           0.000000   \n26           0.0000                 0.000000           0.000000   \n27           0.0000                 0.000000           0.000000   \n\n    Historic Site  History Museum  Hobby Shop  Hockey Arena  Hookah Bar  \\\n0        0.000000            0.00    0.000000          0.00        0.00   \n1        0.000000            0.00    0.000000          0.00        0.00   \n2        0.000000            0.00    0.000000          0.00        0.00   \n3        0.000000            0.00    0.000000          0.00        0.00   \n4        0.000000            0.00    0.000000          0.00        0.00   \n5        0.000000            0.00    0.000000          0.00        0.00   \n6        0.000000            0.00    0.000000          0.00        0.00   \n7        0.000000            0.00    0.000000          0.00        0.00   \n8        0.000000            0.00    0.000000          0.00        0.00   \n9        0.000000            0.00    0.011494          0.00        0.00   \n10       0.000000            0.00    0.000000          0.00        0.00   \n11       0.000000            0.00    0.000000          0.00        0.00   \n12       0.000000            0.00    0.000000          0.00        0.00   \n13       0.000000            0.00    0.000000          0.00        0.00   \n14       0.000000            0.00    0.000000          0.00        0.00   \n15       0.000000            0.02    0.000000          0.00        0.00   \n16       0.020833            0.00    0.000000          0.00        0.00   \n17       0.000000            0.00    0.000000          0.25        0.00   \n18       0.000000            0.00    0.000000          0.00        0.00   \n19       0.000000            0.00    0.000000          0.00        0.01   \n20       0.000000            0.00    0.000000          0.00        0.00   \n21       0.000000            0.00    0.000000          0.00        0.00   \n22       0.000000            0.00    0.000000          0.00        0.00   \n23       0.000000            0.00    0.000000          0.00        0.00   \n24       0.000000            0.00    0.000000          0.00        0.00   \n25       0.000000            0.00    0.000000          0.00        0.00   \n26       0.000000            0.00    0.000000          0.00        0.00   \n27       0.000000            0.00    0.000000          0.00        0.00   \n\n    Hospital    Hostel     Hotel  Hotel Bar  Hotpot Restaurant  \\\n0       0.00  0.000000  0.030000       0.00               0.00   \n1       0.00  0.000000  0.018182       0.00               0.00   \n2       0.00  0.000000  0.000000       0.00               0.00   \n3       0.00  0.000000  0.000000       0.00               0.00   \n4       0.00  0.000000  0.000000       0.00               0.00   \n5       0.00  0.000000  0.000000       0.00               0.00   \n6       0.00  0.000000  0.000000       0.00               0.00   \n7       0.01  0.000000  0.000000       0.01               0.01   \n8       0.00  0.000000  0.000000       0.00               0.00   \n9       0.00  0.000000  0.022989       0.00               0.00   \n10      0.00  0.000000  0.060000       0.01               0.00   \n11      0.00  0.000000  0.000000       0.00               0.00   \n12      0.00  0.000000  0.070000       0.01               0.00   \n13      0.00  0.000000  0.060000       0.01               0.00   \n14      0.00  0.000000  0.000000       0.00               0.00   \n15      0.00  0.000000  0.050000       0.01               0.00   \n16      0.00  0.000000  0.020833       0.00               0.00   \n17      0.00  0.000000  0.000000       0.00               0.00   \n18      0.00  0.000000  0.000000       0.00               0.00   \n19      0.00  0.000000  0.010000       0.00               0.00   \n20      0.00  0.010000  0.050000       0.00               0.00   \n21      0.00  0.010638  0.031915       0.00               0.00   \n22      0.00  0.000000  0.000000       0.00               0.00   \n23      0.00  0.000000  0.000000       0.00               0.00   \n24      0.00  0.000000  0.000000       0.00               0.00   \n25      0.00  0.000000  0.000000       0.00               0.00   \n26      0.00  0.000000  0.000000       0.00               0.00   \n27      0.00  0.000000  0.000000       0.00               0.00   \n\n    Ice Cream Shop  Indian Restaurant  Irish Pub  Italian Restaurant  \\\n0         0.010000           0.010000   0.000000            0.010000   \n1         0.000000           0.000000   0.018182            0.036364   \n2         0.000000           0.000000   0.000000            0.000000   \n3         0.000000           0.000000   0.000000            0.000000   \n4         0.000000           0.021739   0.000000            0.043478   \n5         0.000000           0.000000   0.000000            0.000000   \n6         0.022727           0.022727   0.000000            0.045455   \n7         0.010000           0.000000   0.000000            0.010000   \n8         0.000000           0.000000   0.000000            0.066667   \n9         0.011494           0.011494   0.000000            0.011494   \n10        0.010000           0.000000   0.010000            0.030000   \n11        0.000000           0.000000   0.000000            0.000000   \n12        0.010000           0.000000   0.000000            0.030000   \n13        0.010000           0.000000   0.000000            0.020000   \n14        0.000000           0.000000   0.000000            0.058824   \n15        0.010000           0.010000   0.000000            0.040000   \n16        0.000000           0.000000   0.000000            0.020833   \n17        0.000000           0.000000   0.000000            0.000000   \n18        0.000000           0.000000   0.000000            0.000000   \n19        0.000000           0.000000   0.000000            0.020000   \n20        0.000000           0.010000   0.000000            0.020000   \n21        0.000000           0.000000   0.010638            0.031915   \n22        0.026316           0.000000   0.000000            0.052632   \n23        0.000000           0.000000   0.000000            0.000000   \n24        0.055556           0.000000   0.000000            0.055556   \n25        0.071429           0.023810   0.000000            0.071429   \n26        0.000000           0.000000   0.000000            0.000000   \n27        0.000000           0.000000   0.000000            0.000000   \n\n    Japanese Restaurant  Jazz Club  Jewelry Store  Juice Bar  \\\n0              0.020000   0.010000       0.000000   0.010000   \n1              0.000000   0.018182       0.000000   0.000000   \n2              0.000000   0.000000       0.000000   0.000000   \n3              0.000000   0.000000       0.000000   0.000000   \n4              0.021739   0.000000       0.021739   0.000000   \n5              0.000000   0.000000       0.000000   0.000000   \n6              0.022727   0.000000       0.000000   0.011364   \n7              0.010000   0.010000       0.000000   0.000000   \n8              0.000000   0.000000       0.000000   0.000000   \n9              0.068966   0.000000       0.000000   0.011494   \n10             0.020000   0.000000       0.000000   0.000000   \n11             0.000000   0.000000       0.000000   0.000000   \n12             0.010000   0.000000       0.000000   0.000000   \n13             0.020000   0.000000       0.000000   0.000000   \n14             0.058824   0.000000       0.000000   0.000000   \n15             0.010000   0.000000       0.000000   0.000000   \n16             0.000000   0.000000       0.000000   0.000000   \n17             0.000000   0.000000       0.000000   0.000000   \n18             0.000000   0.000000       0.000000   0.000000   \n19             0.020000   0.000000       0.000000   0.010000   \n20             0.020000   0.010000       0.000000   0.000000   \n21             0.021277   0.010638       0.000000   0.000000   \n22             0.000000   0.000000       0.000000   0.000000   \n23             0.000000   0.000000       0.000000   0.000000   \n24             0.000000   0.000000       0.000000   0.000000   \n25             0.000000   0.000000       0.000000   0.023810   \n26             0.000000   0.000000       0.000000   0.000000   \n27             0.000000   0.000000       0.000000   0.000000   \n\n    Korean Restaurant  Lake  Latin American Restaurant  Light Rail Station  \\\n0            0.000000  0.00                   0.010000            0.000000   \n1            0.000000  0.00                   0.000000            0.000000   \n2            0.000000  0.00                   0.000000            0.052632   \n3            0.000000  0.00                   0.000000            0.000000   \n4            0.000000  0.00                   0.000000            0.000000   \n5            0.000000  0.00                   0.000000            0.000000   \n6            0.011364  0.00                   0.000000            0.000000   \n7            0.000000  0.00                   0.000000            0.000000   \n8            0.000000  0.00                   0.000000            0.000000   \n9            0.000000  0.00                   0.000000            0.000000   \n10           0.000000  0.00                   0.010000            0.000000   \n11           0.000000  0.00                   0.000000            0.000000   \n12           0.000000  0.00                   0.000000            0.000000   \n13           0.000000  0.00                   0.000000            0.000000   \n14           0.000000  0.00                   0.000000            0.000000   \n15           0.000000  0.01                   0.000000            0.000000   \n16           0.000000  0.00                   0.000000            0.000000   \n17           0.000000  0.00                   0.000000            0.000000   \n18           0.000000  0.00                   0.000000            0.000000   \n19           0.000000  0.01                   0.000000            0.000000   \n20           0.010000  0.00                   0.010000            0.000000   \n21           0.000000  0.00                   0.000000            0.000000   \n22           0.000000  0.00                   0.026316            0.000000   \n23           0.000000  0.00                   0.000000            0.000000   \n24           0.000000  0.00                   0.000000            0.000000   \n25           0.000000  0.00                   0.000000            0.000000   \n26           0.000000  0.00                   0.000000            0.000000   \n27           0.000000  0.00                   0.000000            0.000000   \n\n    Lingerie Store  Liquor Store    Lounge    Market  Martial Arts Dojo  \\\n0             0.00      0.000000  0.010000  0.000000               0.00   \n1             0.00      0.018182  0.000000  0.000000               0.00   \n2             0.00      0.000000  0.000000  0.000000               0.00   \n3             0.00      0.000000  0.000000  0.000000               0.00   \n4             0.00      0.021739  0.000000  0.021739               0.00   \n5             0.00      0.000000  0.000000  0.166667               0.00   \n6             0.00      0.000000  0.000000  0.000000               0.00   \n7             0.00      0.010000  0.000000  0.000000               0.01   \n8             0.00      0.000000  0.000000  0.000000               0.00   \n9             0.00      0.000000  0.000000  0.000000               0.00   \n10            0.00      0.000000  0.000000  0.000000               0.00   \n11            0.00      0.000000  0.000000  0.000000               0.00   \n12            0.00      0.000000  0.020000  0.000000               0.00   \n13            0.00      0.000000  0.010000  0.000000               0.00   \n14            0.00      0.000000  0.000000  0.000000               0.00   \n15            0.00      0.000000  0.010000  0.000000               0.00   \n16            0.00      0.000000  0.000000  0.000000               0.00   \n17            0.00      0.000000  0.000000  0.000000               0.00   \n18            0.00      0.000000  0.000000  0.000000               0.00   \n19            0.01      0.000000  0.010000  0.000000               0.00   \n20            0.00      0.000000  0.000000  0.000000               0.00   \n21            0.00      0.010638  0.021277  0.000000               0.00   \n22            0.00      0.000000  0.000000  0.000000               0.00   \n23            0.00      0.000000  0.000000  0.000000               0.00   \n24            0.00      0.055556  0.000000  0.000000               0.00   \n25            0.00      0.023810  0.000000  0.000000               0.00   \n26            0.00      0.000000  0.000000  0.000000               0.00   \n27            0.00      0.000000  0.000000  0.000000               0.00   \n\n    Massage Studio  Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n0             0.00                  0.010000     0.000000            0.000000   \n1             0.00                  0.000000     0.000000            0.000000   \n2             0.00                  0.000000     0.000000            0.000000   \n3             0.00                  0.000000     0.000000            0.000000   \n4             0.00                  0.000000     0.000000            0.000000   \n5             0.00                  0.000000     0.000000            0.000000   \n6             0.00                  0.000000     0.000000            0.000000   \n7             0.01                  0.000000     0.000000            0.040000   \n8             0.00                  0.000000     0.000000            0.000000   \n9             0.00                  0.022989     0.022989            0.011494   \n10            0.00                  0.000000     0.000000            0.000000   \n11            0.00                  0.000000     0.000000            0.000000   \n12            0.00                  0.000000     0.000000            0.000000   \n13            0.00                  0.010000     0.000000            0.000000   \n14            0.00                  0.000000     0.000000            0.000000   \n15            0.00                  0.000000     0.000000            0.000000   \n16            0.00                  0.000000     0.000000            0.041667   \n17            0.00                  0.000000     0.000000            0.000000   \n18            0.00                  0.000000     0.000000            0.000000   \n19            0.00                  0.000000     0.000000            0.010000   \n20            0.00                  0.000000     0.000000            0.000000   \n21            0.00                  0.000000     0.000000            0.000000   \n22            0.00                  0.000000     0.000000            0.000000   \n23            0.00                  0.000000     0.000000            0.000000   \n24            0.00                  0.000000     0.000000            0.000000   \n25            0.00                  0.000000     0.000000            0.000000   \n26            0.00                  0.000000     0.000000            0.000000   \n27            0.00                  0.000000     0.000000            0.000000   \n\n    Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n0                    0.000000            0.000000                    0.000000   \n1                    0.000000            0.000000                    0.000000   \n2                    0.000000            0.000000                    0.000000   \n3                    0.000000            0.000000                    0.000000   \n4                    0.000000            0.000000                    0.000000   \n5                    0.000000            0.000000                    0.000000   \n6                    0.034091            0.011364                    0.011364   \n7                    0.000000            0.000000                    0.000000   \n8                    0.000000            0.000000                    0.000000   \n9                    0.000000            0.000000                    0.000000   \n10                   0.000000            0.000000                    0.000000   \n11                   0.000000            0.000000                    0.000000   \n12                   0.000000            0.000000                    0.000000   \n13                   0.000000            0.000000                    0.000000   \n14                   0.000000            0.000000                    0.000000   \n15                   0.000000            0.000000                    0.000000   \n16                   0.000000            0.000000                    0.000000   \n17                   0.000000            0.000000                    0.000000   \n18                   0.000000            0.000000                    0.000000   \n19                   0.030000            0.010000                    0.010000   \n20                   0.010000            0.000000                    0.000000   \n21                   0.000000            0.000000                    0.000000   \n22                   0.026316            0.000000                    0.000000   \n23                   0.000000            0.000000                    0.000000   \n24                   0.000000            0.000000                    0.000000   \n25                   0.000000            0.000000                    0.000000   \n26                   0.000000            0.000000                    0.000000   \n27                   0.000000            0.000000                    0.000000   \n\n    Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n0                          0.000000                 0.01       0.000000   \n1                          0.000000                 0.00       0.000000   \n2                          0.000000                 0.00       0.000000   \n3                          0.000000                 0.00       0.000000   \n4                          0.000000                 0.00       0.000000   \n5                          0.000000                 0.00       0.000000   \n6                          0.000000                 0.00       0.000000   \n7                          0.000000                 0.00       0.000000   \n8                          0.000000                 0.00       0.000000   \n9                          0.000000                 0.00       0.000000   \n10                         0.000000                 0.01       0.000000   \n11                         0.000000                 0.00       0.000000   \n12                         0.000000                 0.00       0.000000   \n13                         0.000000                 0.01       0.000000   \n14                         0.000000                 0.00       0.000000   \n15                         0.000000                 0.01       0.000000   \n16                         0.000000                 0.00       0.000000   \n17                         0.000000                 0.00       0.000000   \n18                         0.000000                 0.00       0.000000   \n19                         0.000000                 0.00       0.010000   \n20                         0.000000                 0.00       0.010000   \n21                         0.010638                 0.00       0.010638   \n22                         0.000000                 0.00       0.000000   \n23                         0.000000                 0.00       0.000000   \n24                         0.000000                 0.00       0.055556   \n25                         0.000000                 0.00       0.000000   \n26                         0.000000                 0.00       0.000000   \n27                         0.000000                 0.00       0.000000   \n\n      Museum  Music Store  Music Venue  New American Restaurant  Nightclub  \\\n0   0.000000     0.000000         0.00                     0.01   0.000000   \n1   0.018182     0.000000         0.00                     0.00   0.018182   \n2   0.000000     0.000000         0.00                     0.00   0.000000   \n3   0.000000     0.000000         0.00                     0.00   0.000000   \n4   0.000000     0.000000         0.00                     0.00   0.000000   \n5   0.000000     0.000000         0.00                     0.00   0.000000   \n6   0.000000     0.000000         0.00                     0.00   0.000000   \n7   0.000000     0.000000         0.00                     0.00   0.000000   \n8   0.000000     0.000000         0.00                     0.00   0.066667   \n9   0.000000     0.000000         0.00                     0.00   0.011494   \n10  0.010000     0.000000         0.00                     0.01   0.000000   \n11  0.000000     0.000000         0.00                     0.00   0.000000   \n12  0.010000     0.000000         0.00                     0.01   0.000000   \n13  0.010000     0.000000         0.00                     0.01   0.000000   \n14  0.000000     0.000000         0.00                     0.00   0.029412   \n15  0.000000     0.000000         0.02                     0.01   0.000000   \n16  0.000000     0.000000         0.00                     0.00   0.000000   \n17  0.000000     0.000000         0.00                     0.00   0.000000   \n18  0.000000     0.000000         0.00                     0.00   0.000000   \n19  0.000000     0.000000         0.01                     0.00   0.000000   \n20  0.000000     0.000000         0.00                     0.01   0.000000   \n21  0.010638     0.000000         0.00                     0.00   0.000000   \n22  0.000000     0.026316         0.00                     0.00   0.000000   \n23  0.000000     0.000000         0.00                     0.00   0.000000   \n24  0.000000     0.000000         0.00                     0.00   0.000000   \n25  0.000000     0.000000         0.00                     0.00   0.000000   \n26  0.000000     0.000000         0.00                     0.00   0.000000   \n27  0.000000     0.000000         0.00                     0.00   0.000000   \n\n    Noodle House    Office  Opera House  Optical Shop  Organic Grocery  \\\n0       0.010000  0.000000         0.01      0.000000             0.00   \n1       0.000000  0.000000         0.00      0.000000             0.00   \n2       0.000000  0.000000         0.00      0.000000             0.00   \n3       0.000000  0.000000         0.00      0.000000             0.00   \n4       0.000000  0.000000         0.00      0.000000             0.00   \n5       0.000000  0.000000         0.00      0.000000             0.00   \n6       0.000000  0.011364         0.00      0.000000             0.00   \n7       0.020000  0.000000         0.00      0.000000             0.01   \n8       0.000000  0.000000         0.00      0.000000             0.00   \n9       0.000000  0.000000         0.00      0.000000             0.00   \n10      0.000000  0.000000         0.00      0.000000             0.00   \n11      0.000000  0.000000         0.00      0.000000             0.00   \n12      0.000000  0.010000         0.00      0.000000             0.00   \n13      0.010000  0.000000         0.01      0.000000             0.00   \n14      0.029412  0.000000         0.00      0.000000             0.00   \n15      0.000000  0.010000         0.00      0.000000             0.00   \n16      0.000000  0.000000         0.00      0.000000             0.00   \n17      0.000000  0.000000         0.00      0.000000             0.00   \n18      0.000000  0.000000         0.00      0.000000             0.00   \n19      0.000000  0.010000         0.00      0.000000             0.00   \n20      0.000000  0.000000         0.00      0.000000             0.00   \n21      0.000000  0.000000         0.00      0.010638             0.00   \n22      0.000000  0.000000         0.00      0.000000             0.00   \n23      0.000000  0.000000         0.00      0.000000             0.00   \n24      0.000000  0.000000         0.00      0.000000             0.00   \n25      0.000000  0.000000         0.00      0.000000             0.00   \n26      0.000000  0.000000         0.00      0.000000             0.00   \n27      0.000000  0.000000         0.00      0.000000             0.00   \n\n    Other Great Outdoors      Park  Performing Arts Venue  Persian Restaurant  \\\n0                   0.00  0.000000               0.000000            0.000000   \n1                   0.00  0.018182               0.000000            0.000000   \n2                   0.00  0.052632               0.000000            0.000000   \n3                   0.00  0.000000               0.000000            0.000000   \n4                   0.00  0.043478               0.000000            0.000000   \n5                   0.00  0.333333               0.000000            0.000000   \n6                   0.00  0.011364               0.000000            0.000000   \n7                   0.00  0.010000               0.000000            0.000000   \n8                   0.00  0.133333               0.000000            0.000000   \n9                   0.00  0.011494               0.000000            0.011494   \n10                  0.00  0.010000               0.000000            0.000000   \n11                  0.00  0.000000               0.000000            0.000000   \n12                  0.00  0.000000               0.000000            0.000000   \n13                  0.00  0.000000               0.000000            0.000000   \n14                  0.00  0.000000               0.000000            0.000000   \n15                  0.00  0.020000               0.010000            0.000000   \n16                  0.00  0.062500               0.020833            0.000000   \n17                  0.00  0.000000               0.000000            0.000000   \n18                  0.00  0.500000               0.000000            0.000000   \n19                  0.01  0.000000               0.000000            0.000000   \n20                  0.00  0.020000               0.010000            0.000000   \n21                  0.00  0.021277               0.000000            0.000000   \n22                  0.00  0.026316               0.000000            0.000000   \n23                  0.20  0.000000               0.000000            0.000000   \n24                  0.00  0.111111               0.000000            0.000000   \n25                  0.00  0.000000               0.000000            0.000000   \n26                  0.00  0.000000               0.000000            0.000000   \n27                  0.00  1.000000               0.000000            0.000000   \n\n    Pet Store  Pharmacy  Pizza Place   Plane  Playground  Plaza  Poke Place  \\\n0    0.000000  0.000000     0.020000  0.0000    0.000000   0.01    0.010000   \n1    0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n2    0.000000  0.000000     0.052632  0.0000    0.000000   0.00    0.000000   \n3    0.000000  0.000000     0.000000  0.0625    0.000000   0.00    0.000000   \n4    0.021739  0.021739     0.043478  0.0000    0.021739   0.00    0.000000   \n5    0.000000  0.166667     0.000000  0.0000    0.000000   0.00    0.000000   \n6    0.000000  0.000000     0.011364  0.0000    0.000000   0.00    0.011364   \n7    0.000000  0.010000     0.010000  0.0000    0.000000   0.00    0.000000   \n8    0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n9    0.011494  0.000000     0.011494  0.0000    0.000000   0.00    0.000000   \n10   0.000000  0.000000     0.010000  0.0000    0.000000   0.00    0.010000   \n11   0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n12   0.000000  0.000000     0.020000  0.0000    0.000000   0.01    0.000000   \n13   0.000000  0.000000     0.020000  0.0000    0.000000   0.01    0.000000   \n14   0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n15   0.000000  0.000000     0.030000  0.0000    0.000000   0.01    0.000000   \n16   0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n17   0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n18   0.000000  0.000000     0.000000  0.0000    0.250000   0.00    0.000000   \n19   0.000000  0.000000     0.020000  0.0000    0.000000   0.01    0.000000   \n20   0.000000  0.000000     0.020000  0.0000    0.000000   0.00    0.010000   \n21   0.000000  0.000000     0.010638  0.0000    0.000000   0.00    0.010638   \n22   0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n23   0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n24   0.055556  0.000000     0.055556  0.0000    0.000000   0.00    0.000000   \n25   0.000000  0.000000     0.023810  0.0000    0.000000   0.00    0.000000   \n26   0.000000  0.000000     0.250000  0.0000    0.000000   0.00    0.000000   \n27   0.000000  0.000000     0.000000  0.0000    0.000000   0.00    0.000000   \n\n    Portuguese Restaurant  Poutine Place       Pub  Ramen Restaurant  \\\n0                0.000000       0.000000  0.000000          0.000000   \n1                0.000000       0.000000  0.000000          0.000000   \n2                0.000000       0.000000  0.000000          0.000000   \n3                0.000000       0.000000  0.000000          0.000000   \n4                0.000000       0.000000  0.043478          0.000000   \n5                0.000000       0.000000  0.000000          0.000000   \n6                0.011364       0.000000  0.000000          0.011364   \n7                0.000000       0.010000  0.000000          0.010000   \n8                0.000000       0.000000  0.000000          0.000000   \n9                0.000000       0.000000  0.022989          0.011494   \n10               0.000000       0.000000  0.010000          0.000000   \n11               0.000000       0.000000  0.000000          0.000000   \n12               0.000000       0.000000  0.010000          0.000000   \n13               0.000000       0.000000  0.010000          0.000000   \n14               0.000000       0.029412  0.029412          0.000000   \n15               0.000000       0.000000  0.000000          0.000000   \n16               0.000000       0.000000  0.062500          0.000000   \n17               0.000000       0.000000  0.000000          0.000000   \n18               0.000000       0.000000  0.000000          0.000000   \n19               0.000000       0.010000  0.010000          0.020000   \n20               0.000000       0.000000  0.000000          0.000000   \n21               0.000000       0.000000  0.010638          0.000000   \n22               0.000000       0.000000  0.000000          0.000000   \n23               0.000000       0.000000  0.200000          0.000000   \n24               0.000000       0.000000  0.055556          0.000000   \n25               0.000000       0.000000  0.023810          0.000000   \n26               0.000000       0.000000  0.000000          0.000000   \n27               0.000000       0.000000  0.000000          0.000000   \n\n    Record Shop  Recording Studio  Restaurant  Sake Bar  Salad Place  \\\n0          0.01          0.000000    0.030000  0.000000     0.020000   \n1          0.00          0.000000    0.018182  0.000000     0.000000   \n2          0.00          0.052632    0.052632  0.000000     0.000000   \n3          0.00          0.000000    0.000000  0.000000     0.000000   \n4          0.00          0.000000    0.065217  0.000000     0.000000   \n5          0.00          0.000000    0.000000  0.000000     0.000000   \n6          0.00          0.000000    0.022727  0.000000     0.022727   \n7          0.02          0.000000    0.000000  0.000000     0.000000   \n8          0.00          0.000000    0.066667  0.000000     0.000000   \n9          0.00          0.000000    0.034483  0.011494     0.000000   \n10         0.00          0.000000    0.040000  0.000000     0.020000   \n11         0.00          0.000000    0.250000  0.000000     0.000000   \n12         0.00          0.000000    0.050000  0.000000     0.010000   \n13         0.00          0.000000    0.040000  0.000000     0.010000   \n14         0.00          0.000000    0.058824  0.000000     0.000000   \n15         0.00          0.000000    0.040000  0.000000     0.010000   \n16         0.00          0.000000    0.041667  0.000000     0.000000   \n17         0.00          0.000000    0.000000  0.000000     0.000000   \n18         0.00          0.000000    0.000000  0.000000     0.000000   \n19         0.00          0.000000    0.020000  0.000000     0.000000   \n20         0.00          0.000000    0.050000  0.000000     0.010000   \n21         0.00          0.000000    0.042553  0.000000     0.010638   \n22         0.00          0.000000    0.000000  0.000000     0.000000   \n23         0.00          0.000000    0.000000  0.000000     0.000000   \n24         0.00          0.000000    0.000000  0.000000     0.000000   \n25         0.00          0.000000    0.023810  0.000000     0.000000   \n26         0.00          0.000000    0.000000  0.000000     0.000000   \n27         0.00          0.000000    0.000000  0.000000     0.000000   \n\n    Salon / Barbershop  Sandwich Place  Scenic Lookout  Sculpture Garden  \\\n0             0.010000        0.000000            0.00          0.000000   \n1             0.000000        0.000000            0.00          0.000000   \n2             0.000000        0.000000            0.00          0.000000   \n3             0.000000        0.000000            0.00          0.062500   \n4             0.000000        0.021739            0.00          0.000000   \n5             0.000000        0.000000            0.00          0.000000   \n6             0.000000        0.034091            0.00          0.000000   \n7             0.000000        0.010000            0.00          0.000000   \n8             0.000000        0.000000            0.00          0.000000   \n9             0.011494        0.000000            0.00          0.011494   \n10            0.000000        0.010000            0.00          0.000000   \n11            0.000000        0.250000            0.00          0.000000   \n12            0.000000        0.010000            0.00          0.000000   \n13            0.000000        0.010000            0.00          0.000000   \n14            0.000000        0.029412            0.00          0.000000   \n15            0.000000        0.010000            0.03          0.000000   \n16            0.000000        0.000000            0.00          0.000000   \n17            0.000000        0.000000            0.00          0.000000   \n18            0.000000        0.000000            0.00          0.000000   \n19            0.000000        0.010000            0.00          0.000000   \n20            0.000000        0.000000            0.00          0.000000   \n21            0.000000        0.010638            0.00          0.000000   \n22            0.000000        0.026316            0.00          0.000000   \n23            0.000000        0.000000            0.00          0.000000   \n24            0.000000        0.055556            0.00          0.000000   \n25            0.000000        0.000000            0.00          0.000000   \n26            0.000000        0.000000            0.00          0.000000   \n27            0.000000        0.000000            0.00          0.000000   \n\n    Seafood Restaurant  Shoe Store  Shopping Mall  Skate Park  Skating Rink  \\\n0             0.010000    0.000000       0.010000    0.000000          0.00   \n1             0.036364    0.000000       0.018182    0.000000          0.00   \n2             0.000000    0.000000       0.000000    0.052632          0.00   \n3             0.000000    0.000000       0.000000    0.000000          0.00   \n4             0.000000    0.000000       0.000000    0.000000          0.00   \n5             0.000000    0.000000       0.000000    0.000000          0.00   \n6             0.011364    0.000000       0.000000    0.000000          0.00   \n7             0.000000    0.000000       0.000000    0.000000          0.00   \n8             0.000000    0.000000       0.000000    0.000000          0.00   \n9             0.011494    0.000000       0.000000    0.000000          0.00   \n10            0.030000    0.000000       0.010000    0.000000          0.00   \n11            0.000000    0.000000       0.000000    0.000000          0.00   \n12            0.020000    0.000000       0.010000    0.000000          0.00   \n13            0.030000    0.000000       0.000000    0.000000          0.00   \n14            0.000000    0.000000       0.000000    0.000000          0.00   \n15            0.010000    0.000000       0.010000    0.000000          0.01   \n16            0.000000    0.020833       0.000000    0.000000          0.00   \n17            0.000000    0.000000       0.000000    0.000000          0.00   \n18            0.000000    0.000000       0.000000    0.000000          0.00   \n19            0.010000    0.010000       0.010000    0.000000          0.00   \n20            0.020000    0.000000       0.010000    0.000000          0.00   \n21            0.031915    0.000000       0.010638    0.000000          0.00   \n22            0.026316    0.000000       0.000000    0.000000          0.00   \n23            0.000000    0.000000       0.000000    0.000000          0.00   \n24            0.000000    0.000000       0.000000    0.000000          0.00   \n25            0.000000    0.000000       0.000000    0.000000          0.00   \n26            0.000000    0.000000       0.000000    0.000000          0.00   \n27            0.000000    0.000000       0.000000    0.000000          0.00   \n\n    Smoke Shop  Smoothie Shop  Snack Place  Soup Place       Spa  Speakeasy  \\\n0     0.010000       0.000000     0.000000    0.000000  0.000000       0.01   \n1     0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n2     0.052632       0.000000     0.000000    0.000000  0.052632       0.00   \n3     0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n4     0.000000       0.000000     0.021739    0.000000  0.000000       0.00   \n5     0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n6     0.000000       0.011364     0.000000    0.000000  0.022727       0.00   \n7     0.000000       0.010000     0.010000    0.000000  0.000000       0.00   \n8     0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n9     0.011494       0.000000     0.000000    0.000000  0.000000       0.00   \n10    0.000000       0.000000     0.000000    0.010000  0.000000       0.00   \n11    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n12    0.000000       0.000000     0.000000    0.010000  0.010000       0.01   \n13    0.000000       0.000000     0.000000    0.010000  0.000000       0.01   \n14    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n15    0.000000       0.010000     0.000000    0.000000  0.000000       0.00   \n16    0.000000       0.000000     0.000000    0.000000  0.020833       0.00   \n17    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n18    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n19    0.010000       0.000000     0.000000    0.000000  0.010000       0.00   \n20    0.000000       0.010000     0.000000    0.000000  0.010000       0.01   \n21    0.000000       0.000000     0.000000    0.010638  0.000000       0.00   \n22    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n23    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n24    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n25    0.000000       0.000000     0.000000    0.000000  0.023810       0.00   \n26    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n27    0.000000       0.000000     0.000000    0.000000  0.000000       0.00   \n\n    Sporting Goods Shop  Sports Bar  Stationery Store  Steakhouse  Strip Club  \\\n0                  0.00    0.000000          0.000000    0.040000    0.000000   \n1                  0.00    0.000000          0.000000    0.036364    0.000000   \n2                  0.00    0.000000          0.000000    0.000000    0.000000   \n3                  0.00    0.000000          0.000000    0.000000    0.000000   \n4                  0.00    0.000000          0.000000    0.000000    0.000000   \n5                  0.00    0.000000          0.000000    0.000000    0.000000   \n6                  0.00    0.000000          0.000000    0.011364    0.000000   \n7                  0.00    0.000000          0.000000    0.000000    0.000000   \n8                  0.00    0.000000          0.000000    0.000000    0.000000   \n9                  0.00    0.011494          0.000000    0.011494    0.011494   \n10                 0.00    0.000000          0.000000    0.030000    0.000000   \n11                 0.00    0.000000          0.000000    0.000000    0.000000   \n12                 0.01    0.010000          0.000000    0.020000    0.000000   \n13                 0.00    0.000000          0.000000    0.040000    0.000000   \n14                 0.00    0.000000          0.000000    0.000000    0.000000   \n15                 0.03    0.020000          0.000000    0.010000    0.000000   \n16                 0.00    0.000000          0.000000    0.000000    0.000000   \n17                 0.00    0.000000          0.000000    0.000000    0.000000   \n18                 0.00    0.000000          0.000000    0.000000    0.000000   \n19                 0.01    0.000000          0.000000    0.010000    0.000000   \n20                 0.00    0.000000          0.000000    0.000000    0.000000   \n21                 0.00    0.000000          0.000000    0.010638    0.000000   \n22                 0.00    0.000000          0.026316    0.000000    0.000000   \n23                 0.00    0.000000          0.000000    0.000000    0.000000   \n24                 0.00    0.000000          0.000000    0.055556    0.000000   \n25                 0.00    0.000000          0.000000    0.000000    0.000000   \n26                 0.00    0.000000          0.000000    0.000000    0.000000   \n27                 0.00    0.000000          0.000000    0.000000    0.000000   \n\n    Supermarket  Sushi Restaurant  Taco Place  Tailor Shop  \\\n0          0.00          0.020000        0.00     0.000000   \n1          0.00          0.000000        0.00     0.018182   \n2          0.00          0.000000        0.00     0.000000   \n3          0.00          0.000000        0.00     0.000000   \n4          0.00          0.000000        0.00     0.000000   \n5          0.00          0.000000        0.00     0.000000   \n6          0.00          0.022727        0.00     0.000000   \n7          0.00          0.000000        0.01     0.000000   \n8          0.00          0.000000        0.00     0.000000   \n9          0.00          0.057471        0.00     0.000000   \n10         0.00          0.000000        0.00     0.010000   \n11         0.00          0.000000        0.00     0.000000   \n12         0.00          0.000000        0.00     0.010000   \n13         0.00          0.010000        0.00     0.000000   \n14         0.00          0.029412        0.00     0.000000   \n15         0.01          0.010000        0.00     0.000000   \n16         0.00          0.000000        0.00     0.000000   \n17         0.00          0.000000        0.00     0.000000   \n18         0.00          0.000000        0.00     0.000000   \n19         0.00          0.010000        0.01     0.000000   \n20         0.00          0.000000        0.00     0.010000   \n21         0.00          0.000000        0.00     0.010638   \n22         0.00          0.000000        0.00     0.000000   \n23         0.00          0.000000        0.00     0.000000   \n24         0.00          0.055556        0.00     0.000000   \n25         0.00          0.000000        0.00     0.000000   \n26         0.00          0.000000        0.00     0.000000   \n27         0.00          0.000000        0.00     0.000000   \n\n    Taiwanese Restaurant  Tanning Salon  Tea Room  Tennis Court  \\\n0               0.000000           0.00  0.000000          0.00   \n1               0.000000           0.00  0.018182          0.00   \n2               0.000000           0.00  0.000000          0.00   \n3               0.000000           0.00  0.000000          0.00   \n4               0.021739           0.00  0.000000          0.00   \n5               0.000000           0.00  0.000000          0.00   \n6               0.000000           0.00  0.011364          0.00   \n7               0.000000           0.00  0.010000          0.00   \n8               0.000000           0.00  0.000000          0.00   \n9               0.000000           0.00  0.011494          0.00   \n10              0.000000           0.00  0.010000          0.00   \n11              0.000000           0.00  0.000000          0.00   \n12              0.000000           0.00  0.010000          0.00   \n13              0.000000           0.00  0.010000          0.00   \n14              0.000000           0.00  0.000000          0.00   \n15              0.000000           0.00  0.010000          0.00   \n16              0.000000           0.00  0.000000          0.00   \n17              0.000000           0.00  0.000000          0.25   \n18              0.000000           0.00  0.000000          0.00   \n19              0.000000           0.01  0.020000          0.00   \n20              0.000000           0.00  0.000000          0.00   \n21              0.000000           0.00  0.010638          0.00   \n22              0.000000           0.00  0.000000          0.00   \n23              0.000000           0.00  0.000000          0.00   \n24              0.000000           0.00  0.000000          0.00   \n25              0.000000           0.00  0.000000          0.00   \n26              0.000000           0.00  0.000000          0.00   \n27              0.000000           0.00  0.000000          0.00   \n\n    Thai Restaurant   Theater  Theme Restaurant  Thrift / Vintage Store  \\\n0          0.030000  0.010000          0.000000                    0.00   \n1          0.018182  0.000000          0.000000                    0.00   \n2          0.000000  0.000000          0.000000                    0.00   \n3          0.000000  0.000000          0.000000                    0.00   \n4          0.021739  0.000000          0.000000                    0.00   \n5          0.000000  0.000000          0.000000                    0.00   \n6          0.011364  0.000000          0.000000                    0.00   \n7          0.000000  0.000000          0.000000                    0.01   \n8          0.000000  0.000000          0.000000                    0.00   \n9          0.000000  0.011494          0.011494                    0.00   \n10         0.020000  0.000000          0.000000                    0.00   \n11         0.000000  0.000000          0.000000                    0.00   \n12         0.000000  0.010000          0.000000                    0.00   \n13         0.020000  0.010000          0.000000                    0.00   \n14         0.000000  0.029412          0.000000                    0.00   \n15         0.000000  0.010000          0.000000                    0.00   \n16         0.000000  0.041667          0.000000                    0.00   \n17         0.000000  0.000000          0.000000                    0.00   \n18         0.000000  0.000000          0.000000                    0.00   \n19         0.010000  0.020000          0.000000                    0.00   \n20         0.010000  0.010000          0.000000                    0.00   \n21         0.010638  0.000000          0.000000                    0.00   \n22         0.000000  0.000000          0.000000                    0.00   \n23         0.000000  0.000000          0.000000                    0.00   \n24         0.000000  0.000000          0.000000                    0.00   \n25         0.000000  0.000000          0.000000                    0.00   \n26         0.000000  0.000000          0.000000                    0.00   \n27         0.000000  0.000000          0.000000                    0.00   \n\n    Toy / Game Store    Trail  Train Station  Vegetarian / Vegan Restaurant  \\\n0               0.00  0.00000           0.00                       0.010000   \n1               0.00  0.00000           0.00                       0.018182   \n2               0.00  0.00000           0.00                       0.000000   \n3               0.00  0.00000           0.00                       0.000000   \n4               0.00  0.00000           0.00                       0.000000   \n5               0.00  0.00000           0.00                       0.000000   \n6               0.00  0.00000           0.00                       0.011364   \n7               0.01  0.00000           0.00                       0.060000   \n8               0.00  0.00000           0.00                       0.000000   \n9               0.00  0.00000           0.00                       0.000000   \n10              0.00  0.00000           0.00                       0.020000   \n11              0.00  0.00000           0.00                       0.000000   \n12              0.00  0.00000           0.01                       0.010000   \n13              0.00  0.00000           0.01                       0.010000   \n14              0.00  0.00000           0.00                       0.000000   \n15              0.00  0.00000           0.01                       0.010000   \n16              0.00  0.00000           0.00                       0.000000   \n17              0.00  0.25000           0.00                       0.000000   \n18              0.00  0.25000           0.00                       0.000000   \n19              0.01  0.00000           0.00                       0.010000   \n20              0.00  0.00000           0.00                       0.010000   \n21              0.00  0.00000           0.00                       0.010638   \n22              0.00  0.00000           0.00                       0.000000   \n23              0.00  0.20000           0.00                       0.000000   \n24              0.00  0.00000           0.00                       0.000000   \n25              0.00  0.02381           0.00                       0.000000   \n26              0.00  0.00000           0.00                       0.000000   \n27              0.00  0.00000           0.00                       0.000000   \n\n    Video Game Store  Video Store  Vietnamese Restaurant  Wine Bar  \\\n0           0.000000     0.000000               0.000000  0.010000   \n1           0.000000     0.000000               0.000000  0.000000   \n2           0.000000     0.000000               0.000000  0.000000   \n3           0.000000     0.000000               0.000000  0.000000   \n4           0.000000     0.000000               0.000000  0.000000   \n5           0.000000     0.000000               0.000000  0.000000   \n6           0.000000     0.011364               0.000000  0.011364   \n7           0.000000     0.000000               0.030000  0.010000   \n8           0.000000     0.000000               0.000000  0.000000   \n9           0.011494     0.000000               0.011494  0.000000   \n10          0.000000     0.000000               0.000000  0.010000   \n11          0.000000     0.000000               0.000000  0.000000   \n12          0.000000     0.000000               0.000000  0.010000   \n13          0.000000     0.000000               0.000000  0.010000   \n14          0.029412     0.000000               0.000000  0.000000   \n15          0.000000     0.000000               0.000000  0.010000   \n16          0.000000     0.000000               0.000000  0.000000   \n17          0.000000     0.000000               0.000000  0.000000   \n18          0.000000     0.000000               0.000000  0.000000   \n19          0.010000     0.000000               0.000000  0.010000   \n20          0.000000     0.000000               0.000000  0.000000   \n21          0.000000     0.000000               0.000000  0.000000   \n22          0.000000     0.000000               0.000000  0.000000   \n23          0.000000     0.000000               0.000000  0.000000   \n24          0.000000     0.000000               0.000000  0.000000   \n25          0.000000     0.000000               0.000000  0.000000   \n26          0.000000     0.000000               0.000000  0.000000   \n27          0.000000     0.000000               0.000000  0.000000   \n\n    Wings Joint  \n0      0.000000  \n1      0.000000  \n2      0.000000  \n3      0.000000  \n4      0.000000  \n5      0.000000  \n6      0.000000  \n7      0.000000  \n8      0.000000  \n9      0.011494  \n10     0.000000  \n11     0.000000  \n12     0.000000  \n13     0.000000  \n14     0.000000  \n15     0.000000  \n16     0.000000  \n17     0.000000  \n18     0.000000  \n19     0.000000  \n20     0.000000  \n21     0.000000  \n22     0.000000  \n23     0.000000  \n24     0.000000  \n25     0.000000  \n26     0.000000  \n27     0.000000  "}, "output_type": "execute_result"}], "source": "#Let's group by neighbourhoods\nresult_3b_onehot.groupby('Neighborhood').mean().reset_index()\n\n"}, {"execution_count": 335, "cell_type": "code", "metadata": {}, "outputs": [], "source": "#Let's group by neighbourhood\nsorted3b =result_3b_onehot.groupby('Neighborhood').mean().reset_index()\n\n"}, {"execution_count": 336, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 28 entries, 0 to 27\nColumns: 222 entries, Neighborhood to Wings Joint\ndtypes: float64(221), object(1)\nmemory usage: 48.6+ KB\n"}], "source": "sorted3b.to_csv('sorted3b.csv')\nsorted3b.info()\n"}, {"source": "#### Let's find the top 5 venues in each of the 3_boroughs", "cell_type": "markdown", "metadata": {}}, {"execution_count": 337, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 337, "metadata": {}, "data": {"text/plain": "(28, 222)"}, "output_type": "execute_result"}], "source": "sorted3b.shape"}, {"execution_count": 338, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 28 entries, 0 to 27\nColumns: 222 entries, Neighborhood to Wings Joint\ndtypes: float64(221), object(1)\nmemory usage: 48.6+ KB\n"}], "source": "sorted3b.info()"}, {"execution_count": 339, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "----Adelaide,King,Richmond----\n                 venue  freq\n0          Coffee Shop  0.05\n1                 Caf\u00e9  0.05\n2                  Bar  0.04\n3  American Restaurant  0.04\n4           Steakhouse  0.04\n\n\n----Berczy Park----\n                venue  freq\n0         Coffee Shop  0.09\n1        Cocktail Bar  0.05\n2  Italian Restaurant  0.04\n3  Seafood Restaurant  0.04\n4         Cheese Shop  0.04\n\n\n----Business Reply Mail Processing Centre 969 Eastern----\n              venue  freq\n0              Park  0.05\n1  Recording Studio  0.05\n2           Brewery  0.05\n3        Smoke Shop  0.05\n4     Burrito Place  0.05\n\n\n----CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara----\n              venue  freq\n0  Airport Terminal  0.12\n1    Airport Lounge  0.12\n2   Airport Service  0.12\n3   Harbor / Marina  0.06\n4       Coffee Shop  0.06\n\n\n----Cabbagetown,St. James Town----\n         venue  freq\n0  Coffee Shop  0.09\n1   Restaurant  0.07\n2         Park  0.04\n3         Caf\u00e9  0.04\n4          Pub  0.04\n\n\n----Caledonia-Fairbanks----\n                  venue  freq\n0                  Park  0.33\n1         Women's Store  0.17\n2              Pharmacy  0.17\n3  Fast Food Restaurant  0.17\n4                Market  0.17\n\n\n----Central Bay Street----\n                venue  freq\n0         Coffee Shop  0.16\n1  Italian Restaurant  0.05\n2                Caf\u00e9  0.05\n3        Burger Joint  0.03\n4      Sandwich Place  0.03\n\n\n----Chinatown,Grange Park,Kensington Market----\n                           venue  freq\n0                           Caf\u00e9  0.08\n1  Vegetarian / Vegan Restaurant  0.06\n2             Mexican Restaurant  0.04\n3                    Coffee Shop  0.04\n4            Dumpling Restaurant  0.04\n\n\n----Christie----\n           venue  freq\n0           Caf\u00e9  0.20\n1  Grocery Store  0.20\n2           Park  0.13\n3     Baby Store  0.07\n4          Diner  0.07\n\n\n----Church and Wellesley----\n                 venue  freq\n0          Coffee Shop  0.07\n1  Japanese Restaurant  0.07\n2     Sushi Restaurant  0.06\n3           Restaurant  0.03\n4              Gay Bar  0.03\n\n\n----Commerce Court,Victoria Hotel----\n                 venue  freq\n0          Coffee Shop  0.12\n1                 Caf\u00e9  0.07\n2                Hotel  0.06\n3           Restaurant  0.04\n4  American Restaurant  0.03\n\n\n----Del Ray,Keelesdale,Mount Dennis,Silverthorn----\n                   venue  freq\n0         Discount Store  0.25\n1  Check Cashing Service  0.25\n2         Sandwich Place  0.25\n3             Restaurant  0.25\n4          Women's Store  0.00\n\n\n----Design Exchange,Toronto Dominion Centre----\n         venue  freq\n0  Coffee Shop  0.14\n1         Caf\u00e9  0.07\n2        Hotel  0.07\n3   Restaurant  0.05\n4    Gastropub  0.03\n\n\n----First Canadian Place,Underground city----\n         venue  freq\n0  Coffee Shop  0.11\n1         Caf\u00e9  0.07\n2        Hotel  0.06\n3   Steakhouse  0.04\n4   Restaurant  0.04\n\n\n----Harbord,University of Toronto----\n                 venue  freq\n0                 Caf\u00e9  0.12\n1            Bookstore  0.06\n2           Restaurant  0.06\n3                  Bar  0.06\n4  Japanese Restaurant  0.06\n\n\n----Harbourfront East,Toronto Islands,Union Station----\n         venue  freq\n0  Coffee Shop  0.12\n1        Hotel  0.05\n2     Aquarium  0.05\n3   Restaurant  0.04\n4         Caf\u00e9  0.04\n\n\n----Harbourfront,Regent Park----\n         venue  freq\n0  Coffee Shop  0.17\n1         Park  0.06\n2          Pub  0.06\n3       Bakery  0.06\n4   Restaurant  0.04\n\n\n----Humewood-Cedarvale----\n                  venue  freq\n0          Tennis Court  0.25\n1          Hockey Arena  0.25\n2                 Trail  0.25\n3                 Field  0.25\n4  Other Great Outdoors  0.00\n\n\n----Rosedale----\n           venue  freq\n0           Park  0.50\n1     Playground  0.25\n2          Trail  0.25\n3  Women's Store  0.00\n4    Music Store  0.00\n\n\n----Ryerson,Garden District----\n                       venue  freq\n0                Coffee Shop  0.10\n1             Clothing Store  0.07\n2             Cosmetics Shop  0.04\n3                       Caf\u00e9  0.04\n4  Middle Eastern Restaurant  0.03\n\n\n----St. James Town----\n         venue  freq\n0         Caf\u00e9  0.06\n1  Coffee Shop  0.06\n2   Restaurant  0.05\n3        Hotel  0.05\n4       Bakery  0.03\n\n\n----Stn A PO Boxes 25 The Esplanade----\n                venue  freq\n0         Coffee Shop  0.11\n1                Caf\u00e9  0.04\n2          Restaurant  0.04\n3  Seafood Restaurant  0.03\n4  Italian Restaurant  0.03\n\n\n----Studio District----\n                venue  freq\n0                Caf\u00e9  0.11\n1         Coffee Shop  0.08\n2           Gastropub  0.05\n3  Italian Restaurant  0.05\n4              Bakery  0.05\n\n\n----The Beaches----\n                  venue  freq\n0     Health Food Store   0.2\n1  Other Great Outdoors   0.2\n2                 Trail   0.2\n3                   Pub   0.2\n4           Music Store   0.0\n\n\n----The Beaches West,India Bazaar----\n            venue  freq\n0            Park  0.11\n1       Pet Store  0.06\n2   Movie Theater  0.06\n3  Sandwich Place  0.06\n4      Steakhouse  0.06\n\n\n----The Danforth West,Riverdale----\n                    venue  freq\n0        Greek Restaurant  0.21\n1             Coffee Shop  0.10\n2          Ice Cream Shop  0.07\n3      Italian Restaurant  0.07\n4  Furniture / Home Store  0.05\n\n\n----The Junction North,Runnymede----\n               venue  freq\n0        Pizza Place  0.25\n1  Convenience Store  0.25\n2      Grocery Store  0.25\n3           Bus Line  0.25\n4        Music Venue  0.00\n\n\n----Weston----\n                      venue  freq\n0                      Park   1.0\n1             Women's Store   0.0\n2               Music Venue   0.0\n3  Mediterranean Restaurant   0.0\n4               Men's Store   0.0\n\n\n"}], "source": "num_top_venues = 5\n\nfor hood in sorted3b['Neighborhood']:\n    print(\"----\"+hood+\"----\")\n    temp = sorted3b[sorted3b['Neighborhood'] == hood].T.reset_index()\n    temp.columns = ['venue','freq']\n    temp = temp.iloc[1:]\n    temp['freq'] = temp['freq'].astype(float)\n    temp = temp.round({'freq': 2})\n    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n    print('\\n')"}, {"execution_count": 341, "cell_type": "code", "metadata": {}, "outputs": [], "source": "def return_most_common_venues(row, num_top_venues):\n    row_categories = row.iloc[1:]\n    row_categories_sorted = row_categories.sort_values(ascending=False)\n    \n    return row_categories_sorted.index.values[0:num_top_venues]"}, {"execution_count": 342, "cell_type": "code", "metadata": {}, "outputs": [{"execution_count": 342, "metadata": {}, "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighborhood</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Adelaide,King,Richmond</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>Steakhouse</td>\n      <td>American Restaurant</td>\n      <td>Bar</td>\n      <td>Hotel</td>\n      <td>Thai Restaurant</td>\n      <td>Cosmetics Shop</td>\n      <td>Gym</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Berczy Park</td>\n      <td>Coffee Shop</td>\n      <td>Cocktail Bar</td>\n      <td>Seafood Restaurant</td>\n      <td>Cheese Shop</td>\n      <td>Farmers Market</td>\n      <td>Beer Bar</td>\n      <td>Steakhouse</td>\n      <td>Italian Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Bakery</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n      <td>Smoke Shop</td>\n      <td>Pizza Place</td>\n      <td>Light Rail Station</td>\n      <td>Skate Park</td>\n      <td>Brewery</td>\n      <td>Farmers Market</td>\n      <td>Fast Food Restaurant</td>\n      <td>Spa</td>\n      <td>Restaurant</td>\n      <td>Recording Studio</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n      <td>Airport Service</td>\n      <td>Airport Terminal</td>\n      <td>Airport Lounge</td>\n      <td>Harbor / Marina</td>\n      <td>Sculpture Garden</td>\n      <td>Bar</td>\n      <td>Boutique</td>\n      <td>Plane</td>\n      <td>Coffee Shop</td>\n      <td>Boat or Ferry</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Cabbagetown,St. James Town</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Pub</td>\n      <td>Caf\u00e9</td>\n      <td>Italian Restaurant</td>\n      <td>Bakery</td>\n      <td>Park</td>\n      <td>Pizza Place</td>\n      <td>Grocery Store</td>\n      <td>Bank</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "                                        Neighborhood 1st Most Common Venue  \\\n0                             Adelaide,King,Richmond           Coffee Shop   \n1                                        Berczy Park           Coffee Shop   \n2  Business Reply Mail Processing Centre 969 Eastern            Smoke Shop   \n3  CN Tower,Bathurst Quay,Island airport,Harbourf...       Airport Service   \n4                         Cabbagetown,St. James Town           Coffee Shop   \n\n  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n0                  Caf\u00e9            Steakhouse   American Restaurant   \n1          Cocktail Bar    Seafood Restaurant           Cheese Shop   \n2           Pizza Place    Light Rail Station            Skate Park   \n3      Airport Terminal        Airport Lounge       Harbor / Marina   \n4            Restaurant                   Pub                  Caf\u00e9   \n\n  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n0                   Bar                 Hotel       Thai Restaurant   \n1        Farmers Market              Beer Bar            Steakhouse   \n2               Brewery        Farmers Market  Fast Food Restaurant   \n3      Sculpture Garden                   Bar              Boutique   \n4    Italian Restaurant                Bakery                  Park   \n\n  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n0        Cosmetics Shop                   Gym           Burger Joint  \n1    Italian Restaurant                  Caf\u00e9                 Bakery  \n2                   Spa            Restaurant       Recording Studio  \n3                 Plane           Coffee Shop          Boat or Ferry  \n4           Pizza Place         Grocery Store                   Bank  "}, "output_type": "execute_result"}], "source": "num_top_venues = 10\n\nindicators = ['st', 'nd', 'rd']\n\n# create columns according to number of top venues\ncolumns = ['Neighborhood']\nfor ind in np.arange(num_top_venues):\n    try:\n        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n    except:\n        columns.append('{}th Most Common Venue'.format(ind+1))\n\n# create a new dataframe\nsorted3b_venues = pd.DataFrame(columns=columns)\nsorted3b_venues['Neighborhood'] = sorted3b['Neighborhood']\n\nfor ind in np.arange(sorted3b.shape[0]):\n    sorted3b_venues.iloc[ind, 1:] = return_most_common_venues(sorted3b.iloc[ind, :], num_top_venues)\n\nsorted3b_venues.head()"}, {"execution_count": 343, "cell_type": "code", "metadata": {}, "outputs": [], "source": "sorted3b_venues.to_csv('sorted3b_venues.csv')"}, {"execution_count": 344, "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 28 entries, 0 to 27\nData columns (total 11 columns):\nNeighborhood              28 non-null object\n1st Most Common Venue     28 non-null object\n2nd Most Common Venue     28 non-null object\n3rd Most Common Venue     28 non-null object\n4th Most Common Venue     28 non-null object\n5th Most Common Venue     28 non-null object\n6th Most Common Venue     28 non-null object\n7th Most Common Venue     28 non-null object\n8th Most Common Venue     28 non-null object\n9th Most Common Venue     28 non-null object\n10th Most Common Venue    28 non-null object\ndtypes: object(11)\nmemory usage: 2.5+ KB\n"}], "source": "sorted3b_venues.info()"}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"source": "## 'Liveability' Indicator:", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"source": "## Algorithms, inter-city/neighborhood match:", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"source": "## Machine Learning, cluster the neighborhoods:", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"source": "## Recommendations to the client", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"source": "#### Here is the link to the Ipython notebook hosted on Github, This notebook is an assignment for a course on **Coursera** called *Applied Data Science Capstone*, you can take this course online by clicking [here](http://cocl.us/DP0701EN_Coursera_Week3_LAB2):\n\n## https://github.com/lindangulopez/Coursera_Capstone/blob/master/Capstone%20Project%20June%202019.ipynb\n\n", "cell_type": "markdown", "metadata": {}}, {"source": "<!DOCTYPE html>\n<html>\n<body>\n\n<footer>\n  <p><strong>IPython Notebook Posted by: Linda Angulo Lopez</strong></p>\n    \n  <p>Contact information: <a href=\"mailto:angulo.linda@gmail.com\">e-mail</a>.</p>\n    \n</footer>\n\n \n<small>&copy; Copyright 2019, Linda Angulo Lopez, Environmental Consultant</small>\n\n</body>\n</html>", "cell_type": "markdown", "metadata": {}}, {"source": "\n<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>\n\n\n<h1 align=center><font size = 6>3.  Report</font></h1>\n\n<h2 align=center><font size = 4> The methodology, results and conclusion as well as a link to the report are below.</font></h2>\n\n\n<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>\n\n", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}, {"source": "#### Here is the link to the Report 'Relocation Recommendations' this report was made for an assignment for a course on **Coursera** called *Applied Data Science Capstone*, you can take this course online by clicking [here](http://cocl.us/DP0701EN_Coursera_Week3_LAB2):\n\n## https://github.com/lindangulopez/Coursera_Capstone\n\n\n\n\n<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>", "cell_type": "markdown", "metadata": {}}, {"source": "<!DOCTYPE html>\n<html>\n<body>\n\n<footer>\n  <p><strong> Report Drafted by: Linda Angulo Lopez</strong></p>\n    \n  <p>Contact information: <a href=\"mailto:angulo.linda@gmail.com\">e-mail</a>.</p>\n    \n</footer>\n\n \n<small>&copy; Copyright 2019, Linda Angulo Lopez, Environmental Consultant</small>\n\n</body>\n</html>", "cell_type": "markdown", "metadata": {}}, {"source": "<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>\n\n\n<h1 align=center><font size = 6>3.  Blog Post</font></h1>\n\n<h2 align=center><font size = 4> The key notes as well as a link to the blog are below.</font></h2>\n\n\n<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>", "cell_type": "markdown", "metadata": {}}, {"source": "#### Here is the link to the Blog Post 'New York or Toronto' this blog post was put up for an assignment for a course on **Coursera** called *Applied Data Science Capstone*, you can take this course online by clicking [here](http://cocl.us/DP0701EN_Coursera_Week3_LAB2):\n\n## https://github.com/lindangulopez/Coursera_Capstone\n\n\n\n\n<h1 align=center><font size = 12>.________________________________________________________________________.</font></h1>", "cell_type": "markdown", "metadata": {}}, {"source": "<!DOCTYPE html>\n<html>\n<body>\n\n<footer>\n  <p><strong>Blog Posted by: Linda Angulo Lopez</strong></p>\n    \n  <p>Contact information: <a href=\"mailto:angulo.linda@gmail.com\">e-mail</a>.</p>\n    \n</footer>\n\n \n<small>&copy; Copyright 2019, Linda Angulo Lopez, Environmental Consultant</small>\n\n</body>\n</html>", "cell_type": "markdown", "metadata": {}}, {"execution_count": null, "cell_type": "code", "metadata": {}, "outputs": [], "source": ""}], "metadata": {"kernelspec": {"display_name": "Python 3.5", "name": "python3", "language": "python"}, "widgets": {"state": {}, "version": "1.1.2"}, "language_info": {"mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "3.5.5", "name": "python", "file_extension": ".py", "pygments_lexer": "ipython3", "codemirror_mode": {"version": 3, "name": "ipython"}}}, "nbformat": 4}