TeamFamLLCFinalProject.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What is the Best Neighborhood in Pittsburgh?\n",
    "### *Team Fam, LLC*\n",
    "## Introduction:\n",
    "Using data from WPRDC, we aimed to find the best nieghborhood in Pittsburgh. Since everyone's definition of \"bestness\" may be different, we decided to approach this from the angle of raising a family. So, what makes a neighborhood family friendly? As a parent or guardian, one would want to raise their children in an environment that promotes development and learning through a strong school system, safety and quietness through a low crime rate, and social and physical well-being through local entertainment facilities. Ultimately, this all boils down to three main ideas:\n",
    "*Education, Safety, and Entertainment*.\n",
    "## The Metric\n",
    "In order to measure these attributes, we used the following data:\n",
    "- [School Enrollment](https://data.wprdc.org/dataset/pittsburgh-american-community-survey-2015-school-enrollment/resource/eb1f8714-e0eb-4614-acfe-dfe0ebab942f)\n",
    "- [Non-Traffic Citations](https://data.wprdc.org/dataset/non-traffic-citations/resource/6b11e87d-1216-463d-bbd3-37460e539d86?view_id=868aea6a-f85a-4547-8402-80c639555f13)\n",
    "- [Playground Equipment](https://data.wprdc.org/dataset/playground-equipment/resource/e39ef76e-0a11-47c8-a86f-a37f55db7a2b)\n",
    "\n",
    "School enrollment data allowed us to see the percentage of the community enrolled in school (pre-college), non-traffic citations gave us information on the amount of crime in the area, and playground equipment data provided a number of different playground equipments/facilities available in each neighborhood. By implementing a simple scoring system that assigned values to each neighborhood based on their position in sorted data **(the lowest score wins)**, we were able to show promising results that helped us determine the best neighborhood in Pittsburgh to raise a family. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## School Enrollment:\n",
    "The school enrollment data from WPRDC included those enrolled in nursery school through graduate school. Since Pittsburgh houses a high volume of college students, we decided that this part of the data would skew the result. So, we revised the dataset to only take into account those enrolled in grade 12 and under. To do this, we subtracted the number of people enrolled in college and graduate/professional school from the total and total enrolled and removed this data from the dataset. This allowed us to study the demographic of people still being \"raised\" by their parents or guardians. We then found the percentage of people enrolled in school by dividing the total enrolled by the total. This data is displayed on a table as well as a bar graph, showing the top ten neighborhoods in Pittsburgh to raise a family based on school enrollment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import geopandas as gp\n",
    "import collections\n",
    "ListOfNeighborhoods = pd.read_csv(\"playgroundEquipments.csv\")\n",
    "neighborhoods = ListOfNeighborhoods[[\"neighborhood\"]].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "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>Percentage Enrolled In School</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Homewood North</td>\n",
       "      <td>35.496737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Allentown</td>\n",
       "      <td>33.003016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Northview Heights</td>\n",
       "      <td>32.731377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Knoxville</td>\n",
       "      <td>31.243301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Elliott</td>\n",
       "      <td>31.046312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bedford Dwellings</td>\n",
       "      <td>25.509372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bon Air</td>\n",
       "      <td>25.263158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Mount Oliver Borough</td>\n",
       "      <td>23.436493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>St. Clair</td>\n",
       "      <td>23.371648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sheraden</td>\n",
       "      <td>23.153381</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Neighborhood  Percentage Enrolled In School\n",
       "0        Homewood North                      35.496737\n",
       "1             Allentown                      33.003016\n",
       "2     Northview Heights                      32.731377\n",
       "3             Knoxville                      31.243301\n",
       "4               Elliott                      31.046312\n",
       "5     Bedford Dwellings                      25.509372\n",
       "6               Bon Air                      25.263158\n",
       "7  Mount Oliver Borough                      23.436493\n",
       "8             St. Clair                      23.371648\n",
       "9              Sheraden                      23.153381"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import raw dataset\n",
    "enrollment_data_raw = pd.read_csv(\"Enrollment-Data.csv\")\n",
    "# Pull columns needed for operations\n",
    "enrollment_data_edit = enrollment_data_raw[[\"Neighborhood\",\"Estimate; Total:\",\"Estimate; Enrolled in school:\",\\\n",
    "                                            \"Estimate; Enrolled in school: - Enrolled in college, undergraduate years\",\\\n",
    "                                            \"Estimate; Enrolled in school: - Graduate or professional school\"]].copy()\n",
    "\n",
    "# Editing the columns so the total and total enrolled does not include college students\n",
    "enrollment_data_edit[\"Enrolled In College\"] = enrollment_data_raw[\"Estimate; Enrolled in school: - Enrolled in college, undergraduate years\"] + enrollment_data_raw[\"Estimate; Enrolled in school: - Graduate or professional school\"]\n",
    "enrollment_data_edit[\"Total\"] = enrollment_data_edit[\"Estimate; Total:\"] - enrollment_data_edit[\"Enrolled In College\"]\n",
    "enrollment_data_edit[\"Total Enrolled\"] = enrollment_data_edit[\"Estimate; Enrolled in school:\"] - enrollment_data_edit[\"Enrolled In College\"]\n",
    "\n",
    "# Creating a final data set with only the data needed and adding a column with the percentage enrolled\n",
    "enrollment_data = enrollment_data_edit[[\"Neighborhood\",\"Total\",\"Total Enrolled\"]].copy()\n",
    "enrollment_data[\"Percentage Enrolled In School\"] = (enrollment_data[\"Total Enrolled\"] / enrollment_data[\"Total\"])*100\n",
    "enrollment_data = enrollment_data[[\"Neighborhood\", \"Percentage Enrolled In School\"]]\n",
    "\n",
    "#Sorting the values by percentage and displaying the data\n",
    "enrollment_data.sort_values(by = \"Percentage Enrolled In School\", ascending = False, inplace = True)\n",
    "enrollment_data.reset_index(inplace = True, drop = True)\n",
    "enrollment_data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Neighborhood')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the data on a bar graph\n",
    "enrollment_graph = enrollment_data.head(10).plot.barh(x = \"Neighborhood\",figsize = (15,10), legend = None, fontsize = 15)\n",
    "enrollment_graph.set_title(\"School Enrollment by Neighborhood\", fontsize = 25)\n",
    "enrollment_graph.set_xlabel(\"Percentage of Children Enrolled in School\", fontsize = 20)\n",
    "enrollment_graph.set_ylabel(\"Neighborhood\", fontsize = 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Conclusion: School Enrollment\n",
    "As the top ten neighborhoods in the sorted data shows, **Homewood North** comes in with an enrollment rate of nearly 35.5 percent. Using our metric, this makes it the best neighborhood to raise a family based on school enrollment. All the previous data was added to a dictionary to start developing our scoring system. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Beechview': 50,\n",
       " 'Allegheny Center': 37,\n",
       " 'Squirrel Hill South': 46,\n",
       " 'Windgap': 16,\n",
       " 'Perry South': 15,\n",
       " 'Crafton Heights': 11,\n",
       " 'Fineview': 17,\n",
       " 'Terrace Village': 31,\n",
       " 'Hazelwood': 12,\n",
       " 'Lincoln Place': 49,\n",
       " 'Sheraden': 9,\n",
       " 'Brookline': 32,\n",
       " 'Oakwood': 67,\n",
       " 'New Homestead': 14,\n",
       " 'South Side Slopes': 66,\n",
       " 'Upper Hill': 41,\n",
       " 'Brighton Heights': 36,\n",
       " 'Allentown': 1,\n",
       " 'East Liberty': 29,\n",
       " 'Highland Park': 27,\n",
       " 'Central Northside': 44,\n",
       " 'Bloomfield': 74,\n",
       " 'Mount Washington': 69,\n",
       " 'Shadyside': 80,\n",
       " 'Westwood': 52,\n",
       " 'Hays': 53,\n",
       " 'Polish Hill': 82,\n",
       " 'Central Oakland': 84,\n",
       " 'Lincoln-Lemington-Belmar': 21,\n",
       " 'Esplen': 70,\n",
       " 'Greenfield': 60,\n",
       " 'Crawford-Roberts': 30,\n",
       " 'Bedford Dwellings': 5,\n",
       " 'Marshall-Shadeland': 63,\n",
       " 'Beltzhoover': 56,\n",
       " 'West Oakland': 59,\n",
       " 'Elliott': 4,\n",
       " 'Spring Garden': 64,\n",
       " 'Homewood West': 43,\n",
       " 'Strip District': 83,\n",
       " 'Stanton Heights': 34,\n",
       " 'East Carnegie': 61,\n",
       " 'Upper Lawrenceville': 28,\n",
       " 'South Oakland': 51,\n",
       " 'Morningside': 62,\n",
       " 'South Side Flats': 81,\n",
       " 'Central Lawrenceville': 76,\n",
       " 'Manchester': 48,\n",
       " 'Garfield': 18,\n",
       " 'Lower Lawrenceville': 45,\n",
       " 'Carrick': 26,\n",
       " 'Spring Hill-City View': 13,\n",
       " 'Bluff': 85,\n",
       " 'Middle Hill': 58,\n",
       " 'Banksville': 73,\n",
       " 'West End': 89,\n",
       " 'Point Breeze North': 77,\n",
       " 'Troy Hill': 57,\n",
       " 'Larimer': 19,\n",
       " 'Duquesne Heights': 68,\n",
       " 'Homewood North': 0,\n",
       " 'Swisshelm Park': 42,\n",
       " 'Bon Air': 6,\n",
       " 'Regent Square': 25,\n",
       " 'Fairywood': 78,\n",
       " 'Perry North': 47,\n",
       " 'Squirrel Hill North': 24}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = dict()\n",
    "\n",
    "for item in neighborhoods[\"neighborhood\"]:\n",
    "        scores[item] = 0\n",
    "        \n",
    "for item in enrollment_data[\"Neighborhood\"]:\n",
    "    if item not in scores:\n",
    "        continue\n",
    "    else:\n",
    "        scores[item] += enrollment_data[enrollment_data[\"Neighborhood\"] == item].index[0]\n",
    "scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Safety - Non-Traffic Citations:\n",
    "The overall safeness and tranquility of a neighborhood is another important aspect to consider. We decided to gauge this by looking at the amount of non-traffic citations reported in each neighborhood in Pittsburgh. These kinds of citations are also known as \"summary offenses\" and are categorized as low-level criminal offenses. Examples include disorderly conduct, public drunkness, harassment, property damage, and trespassing. Not only is it dangerous, but these types of events can be disruptful to daily living, and as such, places with lower numbers would be concluded to be a better neighborhood to raise a family in terms of safety."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "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>PK</th>\n",
       "      <th>CCR</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>RACE</th>\n",
       "      <th>AGE</th>\n",
       "      <th>CITEDTIME</th>\n",
       "      <th>INCIDENTLOCATION</th>\n",
       "      <th>OFFENSES</th>\n",
       "      <th>ZONE</th>\n",
       "      <th>INCIDENTTRACT</th>\n",
       "      <th>COUNCIL_DISTRICT</th>\n",
       "      <th>PUBLIC_WORKS_DIVISION</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEIGHBORHOOD</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>North Oakland</th>\n",
       "      <td>1078081</td>\n",
       "      <td>16157849</td>\n",
       "      <td>M</td>\n",
       "      <td>B</td>\n",
       "      <td>29.0</td>\n",
       "      <td>2016-08-22T23:45:00</td>\n",
       "      <td>200 Block N DITHRIDGE ST PITTSBURGH, PA</td>\n",
       "      <td>5503(a)(2) DISORDERLY CONDUCT - UNREASONABLE N...</td>\n",
       "      <td>4</td>\n",
       "      <td>507</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-79.951692</td>\n",
       "      <td>40.449311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Oakland</th>\n",
       "      <td>1078082</td>\n",
       "      <td>16157849</td>\n",
       "      <td>M</td>\n",
       "      <td>W</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2016-08-22T23:45:00</td>\n",
       "      <td>200 Block N DITHRIDGE ST PITTSBURGH, PA</td>\n",
       "      <td>5503(a)(2) DISORDERLY CONDUCT - UNREASONABLE N...</td>\n",
       "      <td>4</td>\n",
       "      <td>507</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-79.951692</td>\n",
       "      <td>40.449311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allegheny Center</th>\n",
       "      <td>1078083</td>\n",
       "      <td>16159579</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-25T11:10:00</td>\n",
       "      <td>NORTH PARK PITTSBURGH, PA</td>\n",
       "      <td>5505 Public Drunkenness</td>\n",
       "      <td>1</td>\n",
       "      <td>2204</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Homewood South</th>\n",
       "      <td>1078084</td>\n",
       "      <td>16159780</td>\n",
       "      <td>M</td>\n",
       "      <td>B</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2016-08-25T16:42:00</td>\n",
       "      <td>7200 Block FRANKSTOWN AV PITTSBURGH, PA</td>\n",
       "      <td>6501(a)(1) Scattering Rubbish; Any waste, dang...</td>\n",
       "      <td>5</td>\n",
       "      <td>1303</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-79.896254</td>\n",
       "      <td>40.457329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Upper Lawrenceville</th>\n",
       "      <td>1078085</td>\n",
       "      <td>16161591</td>\n",
       "      <td>F</td>\n",
       "      <td>W</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2016-08-28T00:58:00</td>\n",
       "      <td>6100 Block BERLIN WY PITTSBURGH, PA</td>\n",
       "      <td>5503(a)(2) DISORDERLY CONDUCT - UNREASONABLE N...</td>\n",
       "      <td>2</td>\n",
       "      <td>1011</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-79.946664</td>\n",
       "      <td>40.485403</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          PK       CCR GENDER RACE   AGE            CITEDTIME  \\\n",
       "NEIGHBORHOOD                                                                    \n",
       "North Oakland        1078081  16157849      M    B  29.0  2016-08-22T23:45:00   \n",
       "North Oakland        1078082  16157849      M    W  21.0  2016-08-22T23:45:00   \n",
       "Allegheny Center     1078083  16159579    NaN  NaN   NaN  2016-08-25T11:10:00   \n",
       "Homewood South       1078084  16159780      M    B  22.0  2016-08-25T16:42:00   \n",
       "Upper Lawrenceville  1078085  16161591      F    W  22.0  2016-08-28T00:58:00   \n",
       "\n",
       "                                             INCIDENTLOCATION  \\\n",
       "NEIGHBORHOOD                                                    \n",
       "North Oakland        200 Block N DITHRIDGE ST PITTSBURGH, PA    \n",
       "North Oakland        200 Block N DITHRIDGE ST PITTSBURGH, PA    \n",
       "Allegheny Center                   NORTH PARK PITTSBURGH, PA    \n",
       "Homewood South       7200 Block FRANKSTOWN AV PITTSBURGH, PA    \n",
       "Upper Lawrenceville      6100 Block BERLIN WY PITTSBURGH, PA    \n",
       "\n",
       "                                                              OFFENSES ZONE  \\\n",
       "NEIGHBORHOOD                                                                  \n",
       "North Oakland        5503(a)(2) DISORDERLY CONDUCT - UNREASONABLE N...    4   \n",
       "North Oakland        5503(a)(2) DISORDERLY CONDUCT - UNREASONABLE N...    4   \n",
       "Allegheny Center                               5505 Public Drunkenness    1   \n",
       "Homewood South       6501(a)(1) Scattering Rubbish; Any waste, dang...    5   \n",
       "Upper Lawrenceville  5503(a)(2) DISORDERLY CONDUCT - UNREASONABLE N...    2   \n",
       "\n",
       "                    INCIDENTTRACT  COUNCIL_DISTRICT  PUBLIC_WORKS_DIVISION  \\\n",
       "NEIGHBORHOOD                                                                 \n",
       "North Oakland                 507               8.0                    3.0   \n",
       "North Oakland                 507               8.0                    3.0   \n",
       "Allegheny Center             2204               NaN                    NaN   \n",
       "Homewood South               1303               9.0                    2.0   \n",
       "Upper Lawrenceville          1011               7.0                    2.0   \n",
       "\n",
       "                             X          Y  \n",
       "NEIGHBORHOOD                               \n",
       "North Oakland       -79.951692  40.449311  \n",
       "North Oakland       -79.951692  40.449311  \n",
       "Allegheny Center      0.000000   0.000000  \n",
       "Homewood South      -79.896254  40.457329  \n",
       "Upper Lawrenceville -79.946664  40.485403  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ntc = pd.read_csv(\"Non-Traffic-Citations.csv\",\n",
    "                  index_col=\"NEIGHBORHOOD\") # read in dataset\n",
    "ntc.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset included a lot of information on the details of each citation, but we wanted to focus on the level of crime by the amount per neighborhood, so the table was altered to group the data by neighborhoods and display the total number of offenses each of them recorded. This was then sorted from the least number of citations to the greatest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "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>OFFENSES</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEIGHBORHOOD</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mt. Oliver Boro</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ridgemont</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chartiers City</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Outside State</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. Clair</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mt. Oliver Neighborhood</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swisshelm Park</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Homestead</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hays</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oakwood</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         OFFENSES\n",
       "NEIGHBORHOOD                     \n",
       "Mt. Oliver Boro                 1\n",
       "Ridgemont                       1\n",
       "Chartiers City                  1\n",
       "Outside State                   2\n",
       "St. Clair                       3\n",
       "Mt. Oliver Neighborhood         4\n",
       "Swisshelm Park                  4\n",
       "New Homestead                   5\n",
       "Hays                            5\n",
       "Oakwood                         5"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ntc_nbhd = ntc.groupby(\"NEIGHBORHOOD\")[[\"OFFENSES\"]]\n",
    "ntc_nbhd = ntc_nbhd.count() # counting total number of offenses for each neighborhood\n",
    "ntc_nbhd = ntc_nbhd.sort_values(by=[\"OFFENSES\"], ascending=True).drop('Unable To Retrieve Address') # sorting and dropping unhelpful data\n",
    "ntc_nbhd.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The entirety of the dataset was then plotted as a bar graph. From it, we can see that many neighborhoods have few citations, while South Side Flats and Central Business District have reported the most."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Number of Non-Traffic Citations in Pittsburgh Neighborhoods'}, xlabel='Number of Non-Traffic Citations', ylabel='Neighborhood'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph = ntc_nbhd.sort_values(by=[\"OFFENSES\"], ascending=False)\n",
    "graph = graph.plot.barh(y=\"OFFENSES\",figsize=(10,20), legend=None) # plotting bar graph\n",
    "graph.set_xlabel(\"Number of Non-Traffic Citations\") # making labels for the graph\n",
    "graph.set_ylabel(\"Neighborhood\")\n",
    "graph.set_title(\"Number of Non-Traffic Citations in Pittsburgh Neighborhoods\")\n",
    "graph # displays graph"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since there are so many neighborhoods, it is a little difficult to read. Thus, graphing only the top ten neighborhoods makes the process easier. We can tell the Mt. Oliver Boro, Ridgemont, and Chartiers City are some of the neighborhoods with the least amount of recorded offenses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Number of Non-Traffic Citations in Pittsburgh Neighborhoods')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# graph of just the top 10 neighborhoods with least number of non-traffic citations\n",
    "topten = ntc_nbhd[:10].plot(kind=\"bar\", figsize=(15,5),legend=None)\n",
    "topten.set_ylabel(\"Number of Non-Traffic Citations\")\n",
    "topten.set_xlabel(\"Neighborhood\")\n",
    "topten.set_title(\"Number of Non-Traffic Citations in Pittsburgh Neighborhoods\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can visualize the data on a map as well. Seen below, areas with lower number of non-traffic citations are colored a light purple. As the amount increases, so does the intensity of the color. It also changes to the shade of blue. Hence, South Side Flats and Central Business District demonstrate significantly greater numbers since they are a much darker blue compared to the others. Also note that the light grey colors indicate neighborhoods with no data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "neighborhoods = gp.read_file(\"Neighborhoods/Neighborhoods_.shp\") # read in shapefile\n",
    "ntc_map = neighborhoods.merge(ntc_nbhd, how='left', left_on='hood', right_on='NEIGHBORHOOD') # merge\n",
    "ntc_map.plot(column='OFFENSES', # data to be used for coloring\n",
    "               cmap='PuBu',              # color palette\n",
    "               edgecolor=\"white\",        \n",
    "               legend=True,              \n",
    "               legend_kwds={'label': \"Number of Non-Traffic Citations\"}, \n",
    "               figsize=(15, 10),        \n",
    "               missing_kwds={\"color\": \"lightgrey\"} # neighborhoods with no data are grey\n",
    "               )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Conclusion: Safety - Non-Traffic Citations**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From this dataset, we can conclude that Mt. Oliver Boro, Ridgemont, and Chartiers City are among the best neighborhoods to raise a family in. They reported the lowest number of low-level criminal offenses, indicating that not only are they safer areas to live in, where families do not have to worry as much about these kinds of incidents occurring, but also that life is more likely to be peaceful and quiet. The same cannot be said for neighborhoods like South Side Flats and Central Business District, however, as they reflected much higher numbers of non-traffic citations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Beechview': 118,\n",
       " 'Allegheny Center': 112,\n",
       " 'Squirrel Hill South': 130,\n",
       " 'Windgap': 34,\n",
       " 'Perry South': 66,\n",
       " 'Crafton Heights': 60,\n",
       " 'Fineview': 51,\n",
       " 'Terrace Village': 63,\n",
       " 'Hazelwood': 97,\n",
       " 'Lincoln Place': 91,\n",
       " 'Sheraden': 92,\n",
       " 'Brookline': 119,\n",
       " 'Oakwood': 76,\n",
       " 'New Homestead': 21,\n",
       " 'South Side Slopes': 144,\n",
       " 'Upper Hill': 66,\n",
       " 'Brighton Heights': 95,\n",
       " 'Allentown': 73,\n",
       " 'East Liberty': 108,\n",
       " 'Highland Park': 70,\n",
       " 'Central Northside': 44,\n",
       " 'Bloomfield': 144,\n",
       " 'Mount Washington': 155,\n",
       " 'Shadyside': 168,\n",
       " 'Westwood': 78,\n",
       " 'Hays': 61,\n",
       " 'Polish Hill': 104,\n",
       " 'Central Oakland': 176,\n",
       " 'Lincoln-Lemington-Belmar': 83,\n",
       " 'Esplen': 97,\n",
       " 'Greenfield': 131,\n",
       " 'Crawford-Roberts': 88,\n",
       " 'Bedford Dwellings': 55,\n",
       " 'Marshall-Shadeland': 126,\n",
       " 'Beltzhoover': 112,\n",
       " 'West Oakland': 112,\n",
       " 'Elliott': 69,\n",
       " 'Spring Garden': 78,\n",
       " 'Homewood West': 81,\n",
       " 'Strip District': 144,\n",
       " 'Stanton Heights': 64,\n",
       " 'East Carnegie': 78,\n",
       " 'Upper Lawrenceville': 64,\n",
       " 'South Oakland': 118,\n",
       " 'Morningside': 85,\n",
       " 'South Side Flats': 175,\n",
       " 'Central Lawrenceville': 133,\n",
       " 'Manchester': 85,\n",
       " 'Garfield': 82,\n",
       " 'Lower Lawrenceville': 69,\n",
       " 'Carrick': 115,\n",
       " 'Spring Hill-City View': 61,\n",
       " 'Bluff': 154,\n",
       " 'Middle Hill': 118,\n",
       " 'Banksville': 112,\n",
       " 'West End': 117,\n",
       " 'Point Breeze North': 112,\n",
       " 'Troy Hill': 97,\n",
       " 'Larimer': 93,\n",
       " 'Duquesne Heights': 84,\n",
       " 'Homewood North': 76,\n",
       " 'Swisshelm Park': 48,\n",
       " 'Bon Air': 35,\n",
       " 'Regent Square': 38,\n",
       " 'Fairywood': 93,\n",
       " 'Perry North': 88,\n",
       " 'Squirrel Hill North': 101}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ntc_nbhd.reset_index(inplace = True, drop = False)\n",
    "\n",
    "for item in ntc_nbhd[\"NEIGHBORHOOD\"]:\n",
    "    if item not in scores:\n",
    "        continue\n",
    "    else:\n",
    "        scores[item] += ntc_nbhd[ntc_nbhd[\"NEIGHBORHOOD\"] == item].index[0]\n",
    "\n",
    "scores\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Playgrounds Equipments:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One other factor that we're taking into account when determining the \"best\" neighborhood in Pittsburgh is the number of playground equipments/facilities available in each neighborhood. According to our definition of \"bestness\", I thought that a neighborhood with the most number of playground equipments would be the best for raising a family. Playgrounds proide the perfect off-the-screen entertainment and offers various physical and social benefits for children as they go outdoors to play and have fun with eachtoher like playing tag or going on the swings. \n",
    "\n",
    "Instead of focusing on soley the number of playgrounds in each neighborhood, I thought that analyzing from the angle of the variety and amount of playground equipments would be more helpful. The more variety of playground equipments, the more things for children to enjoy and play with. This also means more opporunities for children to have fun without getting easily bored. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "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>id</th>\n",
       "      <th>name</th>\n",
       "      <th>equipment_type</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>safety_surface_type</th>\n",
       "      <th>ada_accessible</th>\n",
       "      <th>street_number</th>\n",
       "      <th>street</th>\n",
       "      <th>neighborhood</th>\n",
       "      <th>council_district</th>\n",
       "      <th>ward</th>\n",
       "      <th>tract</th>\n",
       "      <th>public_works_division</th>\n",
       "      <th>pli_division</th>\n",
       "      <th>police_zone</th>\n",
       "      <th>fire_zone</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1780722587</td>\n",
       "      <td>Able Long Playground</td>\n",
       "      <td>Play Area 2 to 5</td>\n",
       "      <td>Little Tykes</td>\n",
       "      <td>Pour in Place</td>\n",
       "      <td>f</td>\n",
       "      <td>211.0</td>\n",
       "      <td>Coast Ave</td>\n",
       "      <td>Beechview</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>42003192000</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>4-28</td>\n",
       "      <td>40.408381</td>\n",
       "      <td>-80.028520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>702514290</td>\n",
       "      <td>North Ave. Playground</td>\n",
       "      <td>Play Area 2 to 5</td>\n",
       "      <td>Playworld</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>f</td>\n",
       "      <td>377.0</td>\n",
       "      <td>W North Ave</td>\n",
       "      <td>Allegheny Center</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>42003562700</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>1-7</td>\n",
       "      <td>40.454526</td>\n",
       "      <td>-80.010188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1267038491</td>\n",
       "      <td>Vietnam Veteran's Playground</td>\n",
       "      <td>Slide</td>\n",
       "      <td>Little Tykes</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>f</td>\n",
       "      <td>108.0</td>\n",
       "      <td>Panther Hollow Rd</td>\n",
       "      <td>Squirrel Hill South</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>42003980500</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>2-8</td>\n",
       "      <td>40.434185</td>\n",
       "      <td>-79.944323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14898932</td>\n",
       "      <td>Schenley Overlook Playground</td>\n",
       "      <td>Swing 2 Bays</td>\n",
       "      <td>Little Tykes</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>t</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Overlook Dr</td>\n",
       "      <td>Squirrel Hill South</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>42003980500</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>2-8</td>\n",
       "      <td>40.432130</td>\n",
       "      <td>-79.947774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>204832406</td>\n",
       "      <td>Schenley Overlook Playground</td>\n",
       "      <td>Slide</td>\n",
       "      <td>Little Tykes</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Overlook Dr</td>\n",
       "      <td>Squirrel Hill South</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>42003980500</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>2-8</td>\n",
       "      <td>40.432215</td>\n",
       "      <td>-79.947817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>788191865</td>\n",
       "      <td>Chartiers Playground</td>\n",
       "      <td>Swing 2 Bays</td>\n",
       "      <td>Little Tykes</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>f</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>Summerdale St</td>\n",
       "      <td>Windgap</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>42003563000</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>1-16</td>\n",
       "      <td>40.456812</td>\n",
       "      <td>-80.075131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1387089430</td>\n",
       "      <td>Chartiers Playground</td>\n",
       "      <td>Swing 2 Bays</td>\n",
       "      <td>Little Tykes</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>t</td>\n",
       "      <td>3783.0</td>\n",
       "      <td>Chartiers Ave</td>\n",
       "      <td>Windgap</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>42003563000</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>1-16</td>\n",
       "      <td>40.457218</td>\n",
       "      <td>-80.075070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1838217886</td>\n",
       "      <td>Chartiers Playground</td>\n",
       "      <td>Play Area 2 to 5</td>\n",
       "      <td>Little Tykes</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>f</td>\n",
       "      <td>3789.0</td>\n",
       "      <td>Chartiers Ave</td>\n",
       "      <td>Windgap</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>42003563000</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>1-16</td>\n",
       "      <td>40.457329</td>\n",
       "      <td>-80.075145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1315630398</td>\n",
       "      <td>Chartiers Playground</td>\n",
       "      <td>Play Area 5 to 12</td>\n",
       "      <td>Little Tykes</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>f</td>\n",
       "      <td>1544.0</td>\n",
       "      <td>Summerdale St</td>\n",
       "      <td>Windgap</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>42003563000</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>1-16</td>\n",
       "      <td>40.456681</td>\n",
       "      <td>-80.075019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1603952265</td>\n",
       "      <td>Chartiers Playground</td>\n",
       "      <td>Whirl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SofSurfaces</td>\n",
       "      <td>f</td>\n",
       "      <td>1548.0</td>\n",
       "      <td>Summerdale St</td>\n",
       "      <td>Windgap</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>42003563000</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>1-16</td>\n",
       "      <td>40.456970</td>\n",
       "      <td>-80.075110</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           id                          name     equipment_type  manufacturer  \\\n",
       "0  1780722587          Able Long Playground   Play Area 2 to 5  Little Tykes   \n",
       "1   702514290         North Ave. Playground   Play Area 2 to 5     Playworld   \n",
       "2  1267038491  Vietnam Veteran's Playground              Slide  Little Tykes   \n",
       "3    14898932  Schenley Overlook Playground       Swing 2 Bays  Little Tykes   \n",
       "4   204832406  Schenley Overlook Playground              Slide  Little Tykes   \n",
       "5   788191865          Chartiers Playground       Swing 2 Bays  Little Tykes   \n",
       "6  1387089430          Chartiers Playground       Swing 2 Bays  Little Tykes   \n",
       "7  1838217886          Chartiers Playground   Play Area 2 to 5  Little Tykes   \n",
       "8  1315630398          Chartiers Playground  Play Area 5 to 12  Little Tykes   \n",
       "9  1603952265          Chartiers Playground              Whirl           NaN   \n",
       "\n",
       "  safety_surface_type ada_accessible  street_number             street  \\\n",
       "0       Pour in Place              f          211.0          Coast Ave   \n",
       "1         SofSurfaces              f          377.0        W North Ave   \n",
       "2         SofSurfaces              f          108.0  Panther Hollow Rd   \n",
       "3         SofSurfaces              t            NaN        Overlook Dr   \n",
       "4         SofSurfaces              f            NaN        Overlook Dr   \n",
       "5         SofSurfaces              f         1550.0      Summerdale St   \n",
       "6         SofSurfaces              t         3783.0      Chartiers Ave   \n",
       "7         SofSurfaces              f         3789.0      Chartiers Ave   \n",
       "8         SofSurfaces              f         1544.0      Summerdale St   \n",
       "9         SofSurfaces              f         1548.0      Summerdale St   \n",
       "\n",
       "          neighborhood  council_district  ward        tract  \\\n",
       "0            Beechview                 4    19  42003192000   \n",
       "1     Allegheny Center                 1    22  42003562700   \n",
       "2  Squirrel Hill South                 5    14  42003980500   \n",
       "3  Squirrel Hill South                 5    14  42003980500   \n",
       "4  Squirrel Hill South                 5    14  42003980500   \n",
       "5              Windgap                 2    28  42003563000   \n",
       "6              Windgap                 2    28  42003563000   \n",
       "7              Windgap                 2    28  42003563000   \n",
       "8              Windgap                 2    28  42003563000   \n",
       "9              Windgap                 2    28  42003563000   \n",
       "\n",
       "   public_works_division  pli_division  police_zone fire_zone   latitude  \\\n",
       "0                      5            19            6      4-28  40.408381   \n",
       "1                      1            22            1       1-7  40.454526   \n",
       "2                      3            14            4       2-8  40.434185   \n",
       "3                      3            14            4       2-8  40.432130   \n",
       "4                      3            14            4       2-8  40.432215   \n",
       "5                      5            28            6      1-16  40.456812   \n",
       "6                      5            28            6      1-16  40.457218   \n",
       "7                      5            28            6      1-16  40.457329   \n",
       "8                      5            28            6      1-16  40.456681   \n",
       "9                      5            28            6      1-16  40.456970   \n",
       "\n",
       "   longitude  \n",
       "0 -80.028520  \n",
       "1 -80.010188  \n",
       "2 -79.944323  \n",
       "3 -79.947774  \n",
       "4 -79.947817  \n",
       "5 -80.075131  \n",
       "6 -80.075070  \n",
       "7 -80.075145  \n",
       "8 -80.075019  \n",
       "9 -80.075110  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Load playground equipments data from the downloaded csv file from WPRDC\n",
    "\n",
    "playground = pd.read_csv(\"playgroundEquipments.csv\")\n",
    "playground.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this dataset, we're mainly concerned with the third column (equipment_type) and the ninth column (neighborhood). \n",
    "The elements in equipment_type represent the different kinds of playground equipments available in each neighborhood, including slides, whirls, swings, play areas, and others."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "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>id</th>\n",
       "      <th>name</th>\n",
       "      <th>equipment_type</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>safety_surface_type</th>\n",
       "      <th>ada_accessible</th>\n",
       "      <th>street_number</th>\n",
       "      <th>street</th>\n",
       "      <th>council_district</th>\n",
       "      <th>ward</th>\n",
       "      <th>tract</th>\n",
       "      <th>public_works_division</th>\n",
       "      <th>pli_division</th>\n",
       "      <th>police_zone</th>\n",
       "      <th>fire_zone</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Allegheny Center</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allentown</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Banksville</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bedford Dwellings</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beechview</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>21</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Upper Lawrenceville</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West End</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Oakland</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Westwood</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Windgap</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     id  name  equipment_type  manufacturer  \\\n",
       "neighborhood                                                  \n",
       "Allegheny Center     15    15              15            13   \n",
       "Allentown             4     4               4             4   \n",
       "Banksville            6     6               6             6   \n",
       "Bedford Dwellings     3     3               3             3   \n",
       "Beechview            21    21              21            21   \n",
       "...                  ..   ...             ...           ...   \n",
       "Upper Lawrenceville   5     5               5             4   \n",
       "West End              3     3               3             3   \n",
       "West Oakland          1     1               1             1   \n",
       "Westwood              2     2               2             2   \n",
       "Windgap               5     5               5             4   \n",
       "\n",
       "                     safety_surface_type  ada_accessible  street_number  \\\n",
       "neighborhood                                                              \n",
       "Allegheny Center                      15              15             15   \n",
       "Allentown                              4               4              4   \n",
       "Banksville                             6               6              0   \n",
       "Bedford Dwellings                      3               3              3   \n",
       "Beechview                             14              21             16   \n",
       "...                                  ...             ...            ...   \n",
       "Upper Lawrenceville                    4               5              2   \n",
       "West End                               3               3              3   \n",
       "West Oakland                           1               1              1   \n",
       "Westwood                               2               2              0   \n",
       "Windgap                                5               5              5   \n",
       "\n",
       "                     street  council_district  ward  tract  \\\n",
       "neighborhood                                                 \n",
       "Allegheny Center         15                15    15     15   \n",
       "Allentown                 4                 4     4      4   \n",
       "Banksville                0                 6     6      6   \n",
       "Bedford Dwellings         3                 3     3      3   \n",
       "Beechview                21                21    21     21   \n",
       "...                     ...               ...   ...    ...   \n",
       "Upper Lawrenceville       5                 5     5      5   \n",
       "West End                  3                 3     3      3   \n",
       "West Oakland              1                 1     1      1   \n",
       "Westwood                  2                 2     2      2   \n",
       "Windgap                   5                 5     5      5   \n",
       "\n",
       "                     public_works_division  pli_division  police_zone  \\\n",
       "neighborhood                                                            \n",
       "Allegheny Center                        15            15           15   \n",
       "Allentown                                4             4            4   \n",
       "Banksville                               6             6            6   \n",
       "Bedford Dwellings                        3             3            3   \n",
       "Beechview                               21            21           21   \n",
       "...                                    ...           ...          ...   \n",
       "Upper Lawrenceville                      5             5            5   \n",
       "West End                                 3             3            3   \n",
       "West Oakland                             1             1            1   \n",
       "Westwood                                 2             2            2   \n",
       "Windgap                                  5             5            5   \n",
       "\n",
       "                     fire_zone  latitude  longitude  \n",
       "neighborhood                                         \n",
       "Allegheny Center            15        15         15  \n",
       "Allentown                    4         4          4  \n",
       "Banksville                   6         6          6  \n",
       "Bedford Dwellings            3         3          3  \n",
       "Beechview                   21        21         21  \n",
       "...                        ...       ...        ...  \n",
       "Upper Lawrenceville          5         5          5  \n",
       "West End                     3         3          3  \n",
       "West Oakland                 1         1          1  \n",
       "Westwood                     2         2          2  \n",
       "Windgap                      5         5          5  \n",
       "\n",
       "[67 rows x 17 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#counted up each of the neighbohood and how much equipment they had\n",
    "playground.groupby(\"neighborhood\").count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The code above displays a dataset that has counted up each of the 67 different neighborhoods (in alphabetical order) and the amount of playground equipments each neighborhood have (using the equipment_type column). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "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>Number of Playground Equipments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Squirrel Hill South</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>East Liberty</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Beechview</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Allegheny Center</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>South Side Slopes</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Esplen</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>East Carnegie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Westwood</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>West Oakland</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Strip District</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Neighborhood  Number of Playground Equipments\n",
       "0   Squirrel Hill South                               32\n",
       "1          East Liberty                               26\n",
       "2             Beechview                               21\n",
       "3      Allegheny Center                               15\n",
       "4     South Side Slopes                               14\n",
       "..                  ...                              ...\n",
       "62               Esplen                                2\n",
       "63        East Carnegie                                2\n",
       "64             Westwood                                2\n",
       "65         West Oakland                                1\n",
       "66       Strip District                                1\n",
       "\n",
       "[67 rows x 2 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#create a new dataframe called \"counts\" to count for the number of playground equipments within each  neighborhood.  \n",
    "counts = playground[\"neighborhood\"].value_counts().rename_axis('Neighborhood').reset_index(name='Number of Playground Equipments')\n",
    "counts.head(67)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the table above, I removed all of the other columns, aside from \"neighborhood\" and \"equipment_type\", that were not necessary for my evaluation. I renamed the \"equipment_type\" column to \"Number of Playground Equipment\" to show the counted values of all the different equipments for each of the 67 neighborhood. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Neighborhood')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "playground_graph = playground[\"neighborhood\"].value_counts().plot.barh(x = \"Neighborhood\", width = 0.5, figsize=(25,25), legend = None, fontsize = 15)\n",
    "playground_graph.set_title(\"Amount of Playground Equipments by Neighborhood in City of Pittsburgh\", fontsize = 20)\n",
    "playground_graph.set_xlabel(\"Number of Playground Equipments\", fontsize = 15)\n",
    "playground_graph.set_ylabel(\"Neighborhood\", fontsize = 15)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The Top 10**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "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>Number of Playground Equipments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Squirrel Hill South</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>East Liberty</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Beechview</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Allegheny Center</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>South Side Slopes</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Hazelwood</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sheraden</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Elliott</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Beltzhoover</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Mount Washington</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Neighborhood  Number of Playground Equipments\n",
       "0  Squirrel Hill South                               32\n",
       "1         East Liberty                               26\n",
       "2            Beechview                               21\n",
       "3     Allegheny Center                               15\n",
       "4    South Side Slopes                               14\n",
       "5            Hazelwood                               13\n",
       "6             Sheraden                               13\n",
       "7              Elliott                               11\n",
       "8          Beltzhoover                               10\n",
       "9     Mount Washington                               10"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sort and label the top 10 neighborhoods with the most playground equipments. \n",
    "counts = playground[\"neighborhood\"].value_counts().rename_axis('Neighborhood').reset_index(name='Number of Playground Equipments')\n",
    "counts.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the above table, the top 10 neighborhoods (out of the 67 from the dataset) with the highest numbers of playground equipments are shown in descending order. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Neighborhood')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting this data on a bar graph \n",
    "playground_graph = playground[\"neighborhood\"].value_counts().head(10).plot.barh(x = \"Neighborhood\", width = 0.3, figsize=(10,10), legend = None, fontsize = 13)\n",
    "playground_graph.set_title(\"Amount of Playground Equipments by Neighborhood in City of Pittsburgh\", fontsize = 20)\n",
    "playground_graph.set_xlabel(\"Number of Playground Equipments\", fontsize = 15)\n",
    "playground_graph.set_ylabel(\"Neighborhood\", fontsize = 15)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The bar graph above is a visual representation for the chart shown. \n",
    "It shows the top 10 neighborhoods with the most playground equipments in increasing order from top to bottom. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Conclusion - Playground Equipments**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see from both the chart and the bar graph, it is clear that **Squirrel Hill South** is the **\"best\"** Pittsburgh neighborhood for the **Playground Equipment metric** because it has the highest number of playground equipments (32) out of the 67 neighborhoods from the dataset, with East Libery and Beechview coming in 2nd and 3rd place respectively. Squirrel Hill South would be the \"best\" neighborhood for raising a family, because it has the most and a wide variety of playground equipments that any child can enjoy when playing outside. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On the flipside, using this metric for our definition of \"bestness\", **West Oakland** the **Strip District** would be the **\"worst\"** neighborhoods for raising a family, because they each only have 1 piece of playground equipment. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Regent Square': 52, 'New Homestead': 54, 'Fineview': 67, 'Windgap': 68, 'Swisshelm Park': 74, 'Elliott': 76, 'Highland Park': 81, 'Central Northside': 90, 'Crafton Heights': 92, 'Upper Lawrenceville': 93, 'Garfield': 94, 'Upper Hill': 97, 'Sheraden': 98, 'Hazelwood': 102, 'Terrace Village': 106, 'Hays': 108, 'East Liberty': 109, 'Spring Hill-City View': 110, 'Squirrel Hill North': 111, 'Brighton Heights': 112, 'Oakwood': 114, 'Allegheny Center': 115, 'Troy Hill': 116, 'Perry South': 117, 'Allentown': 118, 'Beechview': 120, 'Homewood West': 121, 'Duquesne Heights': 123, 'Squirrel Hill South': 130, 'South Oakland': 131, 'Spring Garden': 132, 'Fairywood': 134, 'Carrick': 137, 'Banksville': 139, 'Brookline': 140, 'East Carnegie': 141, 'Westwood': 142, 'South Side Slopes': 148, 'Greenfield': 151, 'Marshall-Shadeland': 156, 'Esplen': 159, 'Mount Washington': 164, 'West End': 165, 'Bloomfield': 167, 'Point Breeze North': 168, 'Middle Hill': 171, 'West Oakland': 177, 'Central Lawrenceville': 185, 'Shadyside': 205, 'Strip District': 210, 'South Side Flats': 211, 'Bluff': 213, 'Central Oakland': 236}\n"
     ]
    }
   ],
   "source": [
    "for item in counts[\"Neighborhood\"]:\n",
    "    if item not in scores:\n",
    "        continue\n",
    "    else:\n",
    "        scores[item] += counts[counts[\"Neighborhood\"] == item].index[0]\n",
    "        \n",
    "sorted_values = sorted(scores.values()) # Sort the values\n",
    "sorted_dict = {}\n",
    "\n",
    "for i in sorted_values:\n",
    "    for k in scores.keys():\n",
    "        if scores[k] == i:\n",
    "            sorted_dict[k] = scores[k]\n",
    "            break\n",
    "\n",
    "print(sorted_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "Since each dataset had a varying amount of neighborhoods, we selected the one with the least amount (playground equipments) and used that as our arbitrary list of neighborhoods. If a dataset included neighborhoods not in this list, they were not considered when calculating the lowest value (best) in our scoring system. However, the top ten neighborhoods in each dataset showed varying results, so the final \"best\" neighborhood was not as we expected since some of the neighborhoods were skipped. According to the final calculations, the top three neighborhoods were **Regent Square**, **New Homestead**, and **Fineview** respectively. By our definition of \"bestness\", **Regent Square** is the best neighborhood to raise a family in. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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