data_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spaceship Titanic: Data analysis\n",
    "\n",
    "This notebook is intended for do the first data analysis of the available datasets for the Kaggle problem [Spaceship Titanic](https://www.kaggle.com/competitions/spaceship-titanic/)\n",
    "\n",
    "\n",
    "We will suggest the following libraries:\n",
    "- pandas\n",
    "- seaborn\n",
    "- ydata-profiling\n",
    "\n",
    "A quick introduction of Pandas can be found [here](https://pandas.pydata.org/docs/getting_started/index.html).\n",
    "\n",
    "And a quick introduction of Seaborn can be found [here](https://seaborn.pydata.org/tutorial/introduction.html)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports of libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Apply the default theme of SNS\n",
    "sns.set_theme()\n",
    "\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "# import os\n",
    "# for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "#     for filename in filenames:\n",
    "#         print(os.path.join(dirname, filename))\n",
    "\n",
    "# Configuration of Matplotlib inside Jupyter Notebook.\n",
    "# Read: https://ipython.readthedocs.io/en/stable/interactive/plotting.html\n",
    "%matplotlib inline\n",
    "#%matplotlib notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load dataset\n",
    "The datasets are in the form of CSV files. Three different files are provided:\n",
    "- **train.csv**: Contains the whole dataset, i.e., the input features (data of passengers) and the variable to be predicted (Transported: true or false). We will have to split this file into two disjoint datasets:\n",
    "    - **Train dataset**: used to train our ML models.\n",
    "    - **Test dataset**: used to validate the behaviour of our models previously to make a submission to Kaggle.\n",
    "- **test.csv**: This file only contains the input features. We will have to predict the Transported variable and submmit our predictions to Kaggle.\n",
    "- **sample_submission.csv**: Example file of how to make a submission so that Kaggle can evaluate our model and give us a score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>HomePlanet</th>\n",
       "      <th>CryoSleep</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Age</th>\n",
       "      <th>VIP</th>\n",
       "      <th>RoomService</th>\n",
       "      <th>FoodCourt</th>\n",
       "      <th>ShoppingMall</th>\n",
       "      <th>Spa</th>\n",
       "      <th>VRDeck</th>\n",
       "      <th>Name</th>\n",
       "      <th>Transported</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PassengerId</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",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0001_01</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>B/0/P</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>39.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Maham Ofracculy</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0002_01</th>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>F/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>24.0</td>\n",
       "      <td>False</td>\n",
       "      <td>109.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>549.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Juanna Vines</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0003_01</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>58.0</td>\n",
       "      <td>True</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3576.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6715.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>Altark Susent</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0003_02</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>33.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1283.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>3329.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>Solam Susent</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0004_01</th>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>F/1/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>16.0</td>\n",
       "      <td>False</td>\n",
       "      <td>303.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Willy Santantines</td>\n",
       "      <td>True</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9276_01</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/98/P</td>\n",
       "      <td>55 Cancri e</td>\n",
       "      <td>41.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6819.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1643.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>Gravior Noxnuther</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9278_01</th>\n",
       "      <td>Earth</td>\n",
       "      <td>True</td>\n",
       "      <td>G/1499/S</td>\n",
       "      <td>PSO J318.5-22</td>\n",
       "      <td>18.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Kurta Mondalley</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9279_01</th>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>G/1500/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>26.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1872.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Fayey Connon</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9280_01</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>E/608/S</td>\n",
       "      <td>55 Cancri e</td>\n",
       "      <td>32.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1049.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>353.0</td>\n",
       "      <td>3235.0</td>\n",
       "      <td>Celeon Hontichre</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9280_02</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>E/608/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>44.0</td>\n",
       "      <td>False</td>\n",
       "      <td>126.0</td>\n",
       "      <td>4688.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Propsh Hontichre</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8693 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            HomePlanet CryoSleep     Cabin    Destination   Age    VIP  \\\n",
       "PassengerId                                                              \n",
       "0001_01         Europa     False     B/0/P    TRAPPIST-1e  39.0  False   \n",
       "0002_01          Earth     False     F/0/S    TRAPPIST-1e  24.0  False   \n",
       "0003_01         Europa     False     A/0/S    TRAPPIST-1e  58.0   True   \n",
       "0003_02         Europa     False     A/0/S    TRAPPIST-1e  33.0  False   \n",
       "0004_01          Earth     False     F/1/S    TRAPPIST-1e  16.0  False   \n",
       "...                ...       ...       ...            ...   ...    ...   \n",
       "9276_01         Europa     False    A/98/P    55 Cancri e  41.0   True   \n",
       "9278_01          Earth      True  G/1499/S  PSO J318.5-22  18.0  False   \n",
       "9279_01          Earth     False  G/1500/S    TRAPPIST-1e  26.0  False   \n",
       "9280_01         Europa     False   E/608/S    55 Cancri e  32.0  False   \n",
       "9280_02         Europa     False   E/608/S    TRAPPIST-1e  44.0  False   \n",
       "\n",
       "             RoomService  FoodCourt  ShoppingMall     Spa  VRDeck  \\\n",
       "PassengerId                                                         \n",
       "0001_01              0.0        0.0           0.0     0.0     0.0   \n",
       "0002_01            109.0        9.0          25.0   549.0    44.0   \n",
       "0003_01             43.0     3576.0           0.0  6715.0    49.0   \n",
       "0003_02              0.0     1283.0         371.0  3329.0   193.0   \n",
       "0004_01            303.0       70.0         151.0   565.0     2.0   \n",
       "...                  ...        ...           ...     ...     ...   \n",
       "9276_01              0.0     6819.0           0.0  1643.0    74.0   \n",
       "9278_01              0.0        0.0           0.0     0.0     0.0   \n",
       "9279_01              0.0        0.0        1872.0     1.0     0.0   \n",
       "9280_01              0.0     1049.0           0.0   353.0  3235.0   \n",
       "9280_02            126.0     4688.0           0.0     0.0    12.0   \n",
       "\n",
       "                          Name  Transported  \n",
       "PassengerId                                  \n",
       "0001_01        Maham Ofracculy        False  \n",
       "0002_01           Juanna Vines         True  \n",
       "0003_01          Altark Susent        False  \n",
       "0003_02           Solam Susent        False  \n",
       "0004_01      Willy Santantines         True  \n",
       "...                        ...          ...  \n",
       "9276_01      Gravior Noxnuther        False  \n",
       "9278_01        Kurta Mondalley        False  \n",
       "9279_01           Fayey Connon         True  \n",
       "9280_01       Celeon Hontichre        False  \n",
       "9280_02       Propsh Hontichre         True  \n",
       "\n",
       "[8693 rows x 13 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We read the dataset with the Pandas library and we create a so called dataframe\n",
    "\n",
    "titanic = pd.read_csv(\n",
    "    \"data/train.csv\",\n",
    "    index_col=\"PassengerId\"\n",
    ")\n",
    "titanic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Working with Pandas\n",
    "\n",
    "A quick introduction of Pandas can be found [here](https://pandas.pydata.org/docs/getting_started/index.html).\n",
    "\n",
    "### Selecting a subset of a Table\n",
    "\n",
    "- Select specific columns from a DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId\n",
       "0001_01    39.0\n",
       "0002_01    24.0\n",
       "0003_01    58.0\n",
       "0003_02    33.0\n",
       "0004_01    16.0\n",
       "Name: Age, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ages = titanic[\"Age\"] # returns a Series (single-column)\n",
    "\n",
    "ages.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape (8693,)\n"
     ]
    }
   ],
   "source": [
    "type(ages)\n",
    "\n",
    "print(\"Shape\", ages.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Select several columns from a dataframe   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>HomePlanet</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PassengerId</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0001_01</th>\n",
       "      <td>39.0</td>\n",
       "      <td>Europa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0002_01</th>\n",
       "      <td>24.0</td>\n",
       "      <td>Earth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0003_01</th>\n",
       "      <td>58.0</td>\n",
       "      <td>Europa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0003_02</th>\n",
       "      <td>33.0</td>\n",
       "      <td>Europa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0004_01</th>\n",
       "      <td>16.0</td>\n",
       "      <td>Earth</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Age HomePlanet\n",
       "PassengerId                 \n",
       "0001_01      39.0     Europa\n",
       "0002_01      24.0      Earth\n",
       "0003_01      58.0     Europa\n",
       "0003_02      33.0     Europa\n",
       "0004_01      16.0      Earth"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age_home_planet = titanic[[\"Age\", \"HomePlanet\"]]\n",
    "age_home_planet.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Filter specific rows\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Numer of children 1387\n"
     ]
    }
   ],
   "source": [
    "below_16 = titanic[titanic[\"Age\"]<=16]\n",
    "below_16.head()\n",
    "\n",
    "print(\"Numer of children\", below_16.shape[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- More complex filtering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Working with missing values: use functions `isna()` and `notna()`\n",
    "- Filling missing values: `fillna()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Number of missing values in each column\n",
      "HomePlanet  :  missing   201 values (2.31 %)\n",
      "CryoSleep   :  missing   217 values (2.50 %)\n",
      "Cabin       :  missing   199 values (2.29 %)\n",
      "Destination :  missing   182 values (2.09 %)\n",
      "Age         :  missing   179 values (2.06 %)\n",
      "VIP         :  missing   203 values (2.34 %)\n",
      "RoomService :  missing   181 values (2.08 %)\n",
      "FoodCourt   :  missing   183 values (2.11 %)\n",
      "ShoppingMall:  missing   208 values (2.39 %)\n",
      "Spa         :  missing   183 values (2.11 %)\n",
      "VRDeck      :  missing   188 values (2.16 %)\n",
      "Name        :  missing   200 values (2.30 %)\n",
      "Transported :  missing     0 values (0.00 %)\n"
     ]
    }
   ],
   "source": [
    "print(\"# Number of missing values in each column\")\n",
    "\n",
    "for colname in titanic:\n",
    "    num_nans = titanic[ titanic[colname].isna()].shape[0]\n",
    "    print(f\"{colname:12}:  missing {num_nans:5} values ({num_nans/titanic.shape[0]*100:2.2f} %)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obtaining statatiscs with Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
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       "    }\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>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8514.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>28.827930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>14.489021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>19.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>27.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>38.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>79.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Age\n",
       "count  8514.000000\n",
       "mean     28.827930\n",
       "std      14.489021\n",
       "min       0.000000\n",
       "25%      19.000000\n",
       "50%      27.000000\n",
       "75%      38.000000\n",
       "max      79.000000"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Describe a numerical variable. Specific statistic can be obtain with mean, std, median, etc\n",
    "titanic[[\"Age\"]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count      8492\n",
       "unique        3\n",
       "top       Earth\n",
       "freq       4602\n",
       "Name: HomePlanet, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Describe a categorical variable\n",
    "titanic[\"HomePlanet\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>Age</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HomePlanet</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Earth</th>\n",
       "      <td>26.068232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europa</th>\n",
       "      <td>34.419664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mars</th>\n",
       "      <td>29.297203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Age\n",
       "HomePlanet           \n",
       "Earth       26.068232\n",
       "Europa      34.419664\n",
       "Mars        29.297203"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the mean Age grouping by HomePlanet\n",
    "titanic[[\"HomePlanet\", \"Age\"]].groupby(\"HomePlanet\").mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "HomePlanet\n",
       "Earth     4602\n",
       "Europa    2131\n",
       "Mars      1759\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Obtain the count of each element in a categorical variable\n",
    "titanic[\"HomePlanet\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add new columns and operate with them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>HomePlanet</th>\n",
       "      <th>CryoSleep</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Age</th>\n",
       "      <th>VIP</th>\n",
       "      <th>RoomService</th>\n",
       "      <th>FoodCourt</th>\n",
       "      <th>ShoppingMall</th>\n",
       "      <th>Spa</th>\n",
       "      <th>VRDeck</th>\n",
       "      <th>Name</th>\n",
       "      <th>Transported</th>\n",
       "      <th>TotalSpent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PassengerId</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>0001_01</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>B/0/P</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>39.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Maham Ofracculy</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0002_01</th>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>F/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>24.0</td>\n",
       "      <td>False</td>\n",
       "      <td>109.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>549.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Juanna Vines</td>\n",
       "      <td>True</td>\n",
       "      <td>736.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0003_01</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>58.0</td>\n",
       "      <td>True</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3576.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6715.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>Altark Susent</td>\n",
       "      <td>False</td>\n",
       "      <td>10383.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0003_02</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>33.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1283.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>3329.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>Solam Susent</td>\n",
       "      <td>False</td>\n",
       "      <td>5176.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0004_01</th>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>F/1/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>16.0</td>\n",
       "      <td>False</td>\n",
       "      <td>303.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Willy Santantines</td>\n",
       "      <td>True</td>\n",
       "      <td>1091.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            HomePlanet CryoSleep  Cabin  Destination   Age    VIP  \\\n",
       "PassengerId                                                         \n",
       "0001_01         Europa     False  B/0/P  TRAPPIST-1e  39.0  False   \n",
       "0002_01          Earth     False  F/0/S  TRAPPIST-1e  24.0  False   \n",
       "0003_01         Europa     False  A/0/S  TRAPPIST-1e  58.0   True   \n",
       "0003_02         Europa     False  A/0/S  TRAPPIST-1e  33.0  False   \n",
       "0004_01          Earth     False  F/1/S  TRAPPIST-1e  16.0  False   \n",
       "\n",
       "             RoomService  FoodCourt  ShoppingMall     Spa  VRDeck  \\\n",
       "PassengerId                                                         \n",
       "0001_01              0.0        0.0           0.0     0.0     0.0   \n",
       "0002_01            109.0        9.0          25.0   549.0    44.0   \n",
       "0003_01             43.0     3576.0           0.0  6715.0    49.0   \n",
       "0003_02              0.0     1283.0         371.0  3329.0   193.0   \n",
       "0004_01            303.0       70.0         151.0   565.0     2.0   \n",
       "\n",
       "                          Name  Transported  TotalSpent  \n",
       "PassengerId                                              \n",
       "0001_01        Maham Ofracculy        False         0.0  \n",
       "0002_01           Juanna Vines         True       736.0  \n",
       "0003_01          Altark Susent        False     10383.0  \n",
       "0003_02           Solam Susent        False      5176.0  \n",
       "0004_01      Willy Santantines         True      1091.0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add a new column that is the total amount of money spent (sum of three columns)\n",
    "\n",
    "titanic[\"TotalSpent\"] = titanic[\"RoomService\"] + titanic[\"ShoppingMall\"] + titanic[\"Spa\"] + titanic[\"FoodCourt\"] + titanic[\"VRDeck\"]\n",
    "\n",
    "titanic.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Divide the string Cabin for obtaining the deck, num and side:\n",
    "\n",
    "Cabin - The cabin number where the passenger is staying. Takes the form deck/num/side, where side can be either P for Port or S for Starboard.\n",
    "\n",
    "Deck = Cubierta\n",
    "\n",
    "Port = Babor (lado izquierdo)\n",
    "\n",
    "Starboard = Estribor (Lado derecho)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Operate with text column Cabin and split with \"/\" character for creating three new columns\n",
    "\n",
    "titanic[\"CabinDeck\"] = titanic[\"Cabin\"].str.split(\"/\").str.get(0)\n",
    "titanic[\"CabinNum\"] = titanic[\"Cabin\"].str.split(\"/\").str.get(1)\n",
    "titanic[\"CabinSide\"] = titanic[\"Cabin\"].str.split(\"/\").str.get(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CabinDeck\n",
       "F    2794\n",
       "G    2559\n",
       "E     876\n",
       "B     779\n",
       "C     747\n",
       "D     478\n",
       "A     256\n",
       "T       5\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic[\"CabinDeck\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CabinSide\n",
       "S    4288\n",
       "P    4206\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic[\"CabinSide\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     8494\n",
       "unique    1817\n",
       "top         82\n",
       "freq        28\n",
       "Name: CabinNum, dtype: object"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic[\"CabinNum\"].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting with Pandas\n",
    "\n",
    "With a simple dataframe you can just use `table.plot()`\n",
    "\n",
    "Check the [plot guide of Pandas](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of passengers from Europe or Earth: 4602\n"
     ]
    }
   ],
   "source": [
    "earth_europe = titanic[titanic[\"HomePlanet\"].isin([\"Earth\", \"Europe\"])]\n",
    "print(\"Number of passengers from Europe or Earth:\", earth_europe.shape[0])\n",
    "\n",
    "# If using advanced conditions, use & and |, and surround each condition by brackets ()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the age of the passengers with a Boxplot\n",
    "ages = titanic[\"Age\"]\n",
    "ages.plot.box()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='HomePlanet'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bar plot with the Home Planet\n",
    "\n",
    "counts_HomePlanet = titanic['HomePlanet'].value_counts()\n",
    "\n",
    "counts_HomePlanet.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Destination'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plots Destination sorted\n",
    "counts_Destination = titanic[\"Destination\"].value_counts(sort=True)\n",
    "\n",
    "counts_Destination.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot CryoSleep vs HomePlanet\n",
    "homeplanet_cryosleep = titanic[['HomePlanet', 'CryoSleep']]\n",
    "\n",
    "# generate a frequency count of each category for each variable\n",
    "counts = homeplanet_cryosleep.groupby(['HomePlanet', 'CryoSleep']).size().reset_index(name='count')\n",
    "\n",
    "# create a stacked bar plot\n",
    "fig, ax = plt.subplots()\n",
    "ax = counts.pivot(index='HomePlanet', columns='CryoSleep', values='count').plot(kind='bar', stacked=True, ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Working with Seaborn\n",
    "\n",
    "And a quick introduction of Seaborn can be found [here](https://seaborn.pydata.org/tutorial/introduction.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>HomePlanet</th>\n",
       "      <th>CryoSleep</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Age</th>\n",
       "      <th>VIP</th>\n",
       "      <th>RoomService</th>\n",
       "      <th>FoodCourt</th>\n",
       "      <th>ShoppingMall</th>\n",
       "      <th>Spa</th>\n",
       "      <th>VRDeck</th>\n",
       "      <th>Name</th>\n",
       "      <th>Transported</th>\n",
       "      <th>TotalSpent</th>\n",
       "      <th>CabinDeck</th>\n",
       "      <th>CabinNum</th>\n",
       "      <th>CabinSide</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PassengerId</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>0001_01</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>B/0/P</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>39.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Maham Ofracculy</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>B</td>\n",
       "      <td>0</td>\n",
       "      <td>P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0002_01</th>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>F/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>24.0</td>\n",
       "      <td>False</td>\n",
       "      <td>109.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>549.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Juanna Vines</td>\n",
       "      <td>True</td>\n",
       "      <td>736.0</td>\n",
       "      <td>F</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0003_01</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>58.0</td>\n",
       "      <td>True</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3576.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6715.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>Altark Susent</td>\n",
       "      <td>False</td>\n",
       "      <td>10383.0</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0003_02</th>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>33.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1283.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>3329.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>Solam Susent</td>\n",
       "      <td>False</td>\n",
       "      <td>5176.0</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0004_01</th>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>F/1/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>16.0</td>\n",
       "      <td>False</td>\n",
       "      <td>303.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Willy Santantines</td>\n",
       "      <td>True</td>\n",
       "      <td>1091.0</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            HomePlanet CryoSleep  Cabin  Destination   Age    VIP  \\\n",
       "PassengerId                                                         \n",
       "0001_01         Europa     False  B/0/P  TRAPPIST-1e  39.0  False   \n",
       "0002_01          Earth     False  F/0/S  TRAPPIST-1e  24.0  False   \n",
       "0003_01         Europa     False  A/0/S  TRAPPIST-1e  58.0   True   \n",
       "0003_02         Europa     False  A/0/S  TRAPPIST-1e  33.0  False   \n",
       "0004_01          Earth     False  F/1/S  TRAPPIST-1e  16.0  False   \n",
       "\n",
       "             RoomService  FoodCourt  ShoppingMall     Spa  VRDeck  \\\n",
       "PassengerId                                                         \n",
       "0001_01              0.0        0.0           0.0     0.0     0.0   \n",
       "0002_01            109.0        9.0          25.0   549.0    44.0   \n",
       "0003_01             43.0     3576.0           0.0  6715.0    49.0   \n",
       "0003_02              0.0     1283.0         371.0  3329.0   193.0   \n",
       "0004_01            303.0       70.0         151.0   565.0     2.0   \n",
       "\n",
       "                          Name  Transported  TotalSpent CabinDeck CabinNum  \\\n",
       "PassengerId                                                                  \n",
       "0001_01        Maham Ofracculy        False         0.0         B        0   \n",
       "0002_01           Juanna Vines         True       736.0         F        0   \n",
       "0003_01          Altark Susent        False     10383.0         A        0   \n",
       "0003_02           Solam Susent        False      5176.0         A        0   \n",
       "0004_01      Willy Santantines         True      1091.0         F        1   \n",
       "\n",
       "            CabinSide  \n",
       "PassengerId            \n",
       "0001_01             P  \n",
       "0002_01             S  \n",
       "0003_01             S  \n",
       "0003_02             S  \n",
       "0004_01             S  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remember the columns of the titanic dataframe\n",
    "titanic.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We show the use of the function `relplot()`, that it is designed to visualize many different statistical relationships. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f2f9c1f1940>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a visualization\n",
    "sns.relplot(\n",
    "    data=titanic,\n",
    "    x=\"Age\", y=\"TotalSpent\", col=\"VIP\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f2f9e9d7f70>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a visualization\n",
    "sns.relplot(\n",
    "    data=titanic,\n",
    "    x=\"Age\", y=\"TotalSpent\", col=\"HomePlanet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f2f9a13d1c0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the average TotalSpent as function of the age for the three differnt HomePlanet\n",
    "sns.lmplot(data=titanic, x=\"Age\", y=\"TotalSpent\", col=\"HomePlanet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f2f9a10d700>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of one variable (Age) for different HomePlanet\n",
    "sns.displot(data=titanic, x=\"Age\", col=\"HomePlanet\", kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f2f9bf12460>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of one variable (TotalSpent) for different HomePlanet\n",
    "sns.displot(data=titanic, x=\"TotalSpent\", col=\"HomePlanet\", kde=True, )"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}