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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "# Sujet 6 : Autour du paradoxe de Simpson"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "## Rappel du contexte\n",
+    "\n",
+    "_En 1972-1974, à Whickham, une ville du nord-est de l'Angleterre, située à environ 6,5 kilomètres au sud-ouest de Newcastle upon Tyne, un sondage d'un sixième des électeurs a été effectué afin d'éclairer des travaux sur les maladies thyroïdiennes et cardiaques (Tunbridge et al. 1977). Une suite de cette étude a été menée vingt ans plus tard (Vanderpump et al. 1995). Certains des résultats avaient trait au tabagisme et cherchaient à savoir si les individus étaient toujours en vie lors de la seconde étude. Par simplicité, nous nous restreindrons aux femmes et parmi celles-ci aux 1314 qui ont été catégorisées comme \"fumant actuellement\" ou \"n'ayant jamais fumé\". Il y avait relativement peu de femmes dans le sondage initial ayant fumé et ayant arrêté depuis (162) et très peu pour lesquelles l'information n'était pas disponible (18). La survie à 20 ans a été déterminée pour l'ensemble des femmes du premier sondage._"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "## Préparation des donées"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "### Téléchargement des données\n",
+    "\n",
+    "Les données autour du Paradoxe de Simpson sont accessibles via le gitlab INRIA, à l'adresse : "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [],
+   "source": [
+    "data_url = \"https://gitlab.inria.fr/learninglab/mooc-rr/mooc-rr-ressources/-/raw/master/module3/Practical_session/Subject6_smoking.csv?inline=false\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On veut éviter une disparation potentielle des données du serveur : on fait donc une copie locale de ce jeu de données, et on travaillera par la suite avec cette copie locale. Ca nous permet également de ne pas télécharger à chaque éxécution du code. On vérifie avant le téléchargement qu'une copie locale n'existe pas déjà."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [],
+   "source": [
+    "data_file = \"data.csv\"\n",
+    "\n",
+    "import os\n",
+    "import urllib.request\n",
+    "if not os.path.exists(data_file):\n",
+    "    urllib.request.urlretrieve(data_url, data_file)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "### Vérification des données\n",
+    "\n",
+    "Avant de commencer notre analyse, on vérifie qu'on a bien les données qu'on souhaite, et on vérifie si on n'a pas des données manquantes, ou abérantes. \n",
+    "\n",
+    "On affiche donc nos données : "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "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>Smoker</th>\n",
+       "      <th>Status</th>\n",
+       "      <th>Age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>21.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>57.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>47.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>81.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>36.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>23.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>57.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>24.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>49.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>66.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>49.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>58.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>60.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>43.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>58.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>65.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>73.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>38.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>62.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>18.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>56.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>59.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>36.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1284</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>36.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1285</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>48.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1286</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1287</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>60.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1288</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>39.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1289</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>36.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1290</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1291</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>71.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1292</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>57.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1293</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1294</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>46.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1295</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>82.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1296</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>38.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1297</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>32.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1298</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>39.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1299</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>60.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1300</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>71.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1301</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1302</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>44.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1303</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>31.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1304</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>47.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1305</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>60.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1306</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>61.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1307</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>43.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1308</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>42.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1309</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>35.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1310</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>22.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1311</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>62.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1312</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>88.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1313</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>39.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1314 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Smoker Status   Age\n",
+       "0       Yes  Alive  21.0\n",
+       "1       Yes  Alive  19.3\n",
+       "2        No   Dead  57.5\n",
+       "3        No  Alive  47.1\n",
+       "4       Yes  Alive  81.4\n",
+       "5        No  Alive  36.8\n",
+       "6        No  Alive  23.8\n",
+       "7       Yes   Dead  57.5\n",
+       "8       Yes  Alive  24.8\n",
+       "9       Yes  Alive  49.5\n",
+       "10      Yes  Alive  30.0\n",
+       "11       No   Dead  66.0\n",
+       "12      Yes  Alive  49.2\n",
+       "13       No  Alive  58.4\n",
+       "14       No   Dead  60.6\n",
+       "15       No  Alive  25.1\n",
+       "16       No  Alive  43.5\n",
+       "17       No  Alive  27.1\n",
+       "18       No  Alive  58.3\n",
+       "19      Yes  Alive  65.7\n",
+       "20       No   Dead  73.2\n",
+       "21      Yes  Alive  38.3\n",
+       "22       No  Alive  33.4\n",
+       "23      Yes   Dead  62.3\n",
+       "24       No  Alive  18.0\n",
+       "25       No  Alive  56.2\n",
+       "26      Yes  Alive  59.2\n",
+       "27       No  Alive  25.8\n",
+       "28       No   Dead  36.9\n",
+       "29       No  Alive  20.2\n",
+       "...     ...    ...   ...\n",
+       "1284    Yes   Dead  36.0\n",
+       "1285    Yes  Alive  48.3\n",
+       "1286     No  Alive  63.1\n",
+       "1287     No  Alive  60.8\n",
+       "1288    Yes   Dead  39.3\n",
+       "1289     No  Alive  36.7\n",
+       "1290     No  Alive  63.8\n",
+       "1291     No   Dead  71.3\n",
+       "1292     No  Alive  57.7\n",
+       "1293     No  Alive  63.2\n",
+       "1294     No  Alive  46.6\n",
+       "1295    Yes   Dead  82.4\n",
+       "1296    Yes  Alive  38.3\n",
+       "1297    Yes  Alive  32.7\n",
+       "1298     No  Alive  39.7\n",
+       "1299    Yes   Dead  60.0\n",
+       "1300     No   Dead  71.0\n",
+       "1301     No  Alive  20.5\n",
+       "1302     No  Alive  44.4\n",
+       "1303    Yes  Alive  31.2\n",
+       "1304    Yes  Alive  47.8\n",
+       "1305    Yes  Alive  60.9\n",
+       "1306     No   Dead  61.4\n",
+       "1307    Yes  Alive  43.0\n",
+       "1308     No  Alive  42.1\n",
+       "1309    Yes  Alive  35.9\n",
+       "1310     No  Alive  22.3\n",
+       "1311    Yes   Dead  62.1\n",
+       "1312     No   Dead  88.6\n",
+       "1313     No  Alive  39.1\n",
+       "\n",
+       "[1314 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "data_file\n",
+    "raw_data = pd.read_csv(data_file)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On note bien qu'on a nos trois colonnes :\n",
+    "- __Smoker__ : si la personne fume ou non\n",
+    "- __Status__ : si la personne est vivante ou décédée au moment de la seconde étude\n",
+    "- __Age__ : son âge lors du premier sondage \n",
+    "\n",
+    "On vérifie ensuite qu'on n'a pas de données abérantes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "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>Smoker</th>\n",
+       "      <th>Status</th>\n",
+       "      <th>Age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [Smoker, Status, Age]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "Il n'y a à priori pas de données manquantes. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "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>Smoker</th>\n",
+       "      <th>Status</th>\n",
+       "      <th>Age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>21.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>57.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>47.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>81.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>36.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>23.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>57.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>24.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>49.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>66.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>49.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>58.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>60.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>43.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>58.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>65.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>73.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>38.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>62.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>18.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>56.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>59.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>36.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1284</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>36.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1285</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>48.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1286</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1287</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>60.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1288</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>39.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1289</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>36.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1290</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1291</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>71.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1292</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>57.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1293</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1294</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>46.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1295</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>82.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1296</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>38.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1297</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>32.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1298</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>39.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1299</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>60.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1300</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>71.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1301</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1302</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>44.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1303</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>31.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1304</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>47.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1305</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>60.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1306</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>61.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1307</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>43.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1308</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>42.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1309</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>35.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1310</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>22.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1311</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>62.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1312</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>88.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1313</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>39.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1314 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Smoker Status   Age\n",
+       "0       Yes  Alive  21.0\n",
+       "1       Yes  Alive  19.3\n",
+       "2        No   Dead  57.5\n",
+       "3        No  Alive  47.1\n",
+       "4       Yes  Alive  81.4\n",
+       "5        No  Alive  36.8\n",
+       "6        No  Alive  23.8\n",
+       "7       Yes   Dead  57.5\n",
+       "8       Yes  Alive  24.8\n",
+       "9       Yes  Alive  49.5\n",
+       "10      Yes  Alive  30.0\n",
+       "11       No   Dead  66.0\n",
+       "12      Yes  Alive  49.2\n",
+       "13       No  Alive  58.4\n",
+       "14       No   Dead  60.6\n",
+       "15       No  Alive  25.1\n",
+       "16       No  Alive  43.5\n",
+       "17       No  Alive  27.1\n",
+       "18       No  Alive  58.3\n",
+       "19      Yes  Alive  65.7\n",
+       "20       No   Dead  73.2\n",
+       "21      Yes  Alive  38.3\n",
+       "22       No  Alive  33.4\n",
+       "23      Yes   Dead  62.3\n",
+       "24       No  Alive  18.0\n",
+       "25       No  Alive  56.2\n",
+       "26      Yes  Alive  59.2\n",
+       "27       No  Alive  25.8\n",
+       "28       No   Dead  36.9\n",
+       "29       No  Alive  20.2\n",
+       "...     ...    ...   ...\n",
+       "1284    Yes   Dead  36.0\n",
+       "1285    Yes  Alive  48.3\n",
+       "1286     No  Alive  63.1\n",
+       "1287     No  Alive  60.8\n",
+       "1288    Yes   Dead  39.3\n",
+       "1289     No  Alive  36.7\n",
+       "1290     No  Alive  63.8\n",
+       "1291     No   Dead  71.3\n",
+       "1292     No  Alive  57.7\n",
+       "1293     No  Alive  63.2\n",
+       "1294     No  Alive  46.6\n",
+       "1295    Yes   Dead  82.4\n",
+       "1296    Yes  Alive  38.3\n",
+       "1297    Yes  Alive  32.7\n",
+       "1298     No  Alive  39.7\n",
+       "1299    Yes   Dead  60.0\n",
+       "1300     No   Dead  71.0\n",
+       "1301     No  Alive  20.5\n",
+       "1302     No  Alive  44.4\n",
+       "1303    Yes  Alive  31.2\n",
+       "1304    Yes  Alive  47.8\n",
+       "1305    Yes  Alive  60.9\n",
+       "1306     No   Dead  61.4\n",
+       "1307    Yes  Alive  43.0\n",
+       "1308     No  Alive  42.1\n",
+       "1309    Yes  Alive  35.9\n",
+       "1310     No  Alive  22.3\n",
+       "1311    Yes   Dead  62.1\n",
+       "1312     No   Dead  88.6\n",
+       "1313     No  Alive  39.1\n",
+       "\n",
+       "[1314 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = raw_data.copy()\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On vérifie également qu'il n'y a pas de données abérantes, c'est à dire de personnes dont l'âge n'est pas absurde. Pour cela, on récupère le minimum et le maximum de la colonne __Age__. Un age négatif sera par exemple considéré comme abérant."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "L'age min est :  18.0\n",
+      "L'age max est :  89.9\n"
+     ]
+    }
+   ],
+   "source": [
+    "age_min = data[\"Age\"].min()\n",
+    "age_max = data[\"Age\"].max()\n",
+    "\n",
+    "print(\"L'age min est : \", age_min)\n",
+    "print(\"L'age max est : \", age_max)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On conserve toutes les personnes. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "## Exercice"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hideOutput": true,
+    "hidePrompt": false
+   },
+   "source": [
+    "### Partie 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "__Consigne : Représentez dans un tableau le nombre total de femmes vivantes et décédées sur la période en fonction de leur habitude de tabagisme. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On récupère les données des femmes fumeuses et non fumeuses:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "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>Smoker</th>\n",
+       "      <th>Status</th>\n",
+       "      <th>Age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>21.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>81.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>57.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>24.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>49.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>49.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>65.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>38.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>62.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>59.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>34.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>51.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>49.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>46.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>44.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>29.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>33.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>35.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>39.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>35.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>44.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>37.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>22.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>39.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>40.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>58.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>37.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>36.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1240</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>29.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1243</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>40.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1251</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1252</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>52.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1253</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1254</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>41.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>40.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1263</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1264</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>45.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1269</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>38.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1270</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>55.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1271</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>24.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1273</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>55.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1276</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>58.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1278</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>43.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1282</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>51.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1284</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>36.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1285</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>48.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1288</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>39.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1295</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>82.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1296</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>38.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1297</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>32.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1299</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>60.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1303</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>31.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1304</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>47.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1305</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>60.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1307</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>43.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1309</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>35.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1311</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>62.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>582 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Smoker Status   Age\n",
+       "0       Yes  Alive  21.0\n",
+       "1       Yes  Alive  19.3\n",
+       "4       Yes  Alive  81.4\n",
+       "7       Yes   Dead  57.5\n",
+       "8       Yes  Alive  24.8\n",
+       "9       Yes  Alive  49.5\n",
+       "10      Yes  Alive  30.0\n",
+       "12      Yes  Alive  49.2\n",
+       "19      Yes  Alive  65.7\n",
+       "21      Yes  Alive  38.3\n",
+       "23      Yes   Dead  62.3\n",
+       "26      Yes  Alive  59.2\n",
+       "30      Yes  Alive  34.6\n",
+       "31      Yes  Alive  51.9\n",
+       "32      Yes  Alive  49.9\n",
+       "35      Yes  Alive  46.7\n",
+       "36      Yes  Alive  44.4\n",
+       "37      Yes  Alive  29.5\n",
+       "38      Yes   Dead  33.0\n",
+       "39      Yes  Alive  35.6\n",
+       "40      Yes  Alive  39.1\n",
+       "42      Yes  Alive  35.7\n",
+       "46      Yes   Dead  44.3\n",
+       "48      Yes  Alive  37.5\n",
+       "49      Yes  Alive  22.1\n",
+       "53      Yes  Alive  39.0\n",
+       "56      Yes  Alive  40.1\n",
+       "60      Yes  Alive  58.1\n",
+       "61      Yes  Alive  37.3\n",
+       "63      Yes   Dead  36.3\n",
+       "...     ...    ...   ...\n",
+       "1240    Yes  Alive  29.7\n",
+       "1243    Yes  Alive  40.1\n",
+       "1251    Yes  Alive  27.8\n",
+       "1252    Yes  Alive  52.4\n",
+       "1253    Yes  Alive  27.8\n",
+       "1254    Yes  Alive  41.0\n",
+       "1259    Yes  Alive  40.8\n",
+       "1260    Yes  Alive  20.4\n",
+       "1263    Yes  Alive  20.9\n",
+       "1264    Yes  Alive  45.5\n",
+       "1269    Yes  Alive  38.8\n",
+       "1270    Yes  Alive  55.5\n",
+       "1271    Yes  Alive  24.9\n",
+       "1273    Yes  Alive  55.7\n",
+       "1276    Yes  Alive  58.5\n",
+       "1278    Yes  Alive  43.7\n",
+       "1282    Yes  Alive  51.2\n",
+       "1284    Yes   Dead  36.0\n",
+       "1285    Yes  Alive  48.3\n",
+       "1288    Yes   Dead  39.3\n",
+       "1295    Yes   Dead  82.4\n",
+       "1296    Yes  Alive  38.3\n",
+       "1297    Yes  Alive  32.7\n",
+       "1299    Yes   Dead  60.0\n",
+       "1303    Yes  Alive  31.2\n",
+       "1304    Yes  Alive  47.8\n",
+       "1305    Yes  Alive  60.9\n",
+       "1307    Yes  Alive  43.0\n",
+       "1309    Yes  Alive  35.9\n",
+       "1311    Yes   Dead  62.1\n",
+       "\n",
+       "[582 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smoker = data[data[\"Smoker\"]==\"Yes\"]\n",
+    "smoker"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "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>Smoker</th>\n",
+       "      <th>Status</th>\n",
+       "      <th>Age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>57.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>47.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>36.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>23.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>66.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>58.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>60.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>43.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>58.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>73.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>18.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>56.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>36.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>56.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>69.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>75.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>18.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>82.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>45.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>73.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>28.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>73.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1262</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>41.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1265</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>26.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1266</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>41.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1267</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1268</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>56.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1272</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1274</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1275</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1277</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>23.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1279</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>34.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1280</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>83.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1281</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>34.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1283</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>86.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1286</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1287</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>60.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1289</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>36.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1290</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1291</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>71.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1292</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>57.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1293</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>63.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1294</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>46.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1298</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>39.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1300</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>71.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1301</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1302</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>44.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1306</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>61.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1308</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>42.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1310</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>22.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1312</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>88.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1313</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>39.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>732 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Smoker Status   Age\n",
+       "2        No   Dead  57.5\n",
+       "3        No  Alive  47.1\n",
+       "5        No  Alive  36.8\n",
+       "6        No  Alive  23.8\n",
+       "11       No   Dead  66.0\n",
+       "13       No  Alive  58.4\n",
+       "14       No   Dead  60.6\n",
+       "15       No  Alive  25.1\n",
+       "16       No  Alive  43.5\n",
+       "17       No  Alive  27.1\n",
+       "18       No  Alive  58.3\n",
+       "20       No   Dead  73.2\n",
+       "22       No  Alive  33.4\n",
+       "24       No  Alive  18.0\n",
+       "25       No  Alive  56.2\n",
+       "27       No  Alive  25.8\n",
+       "28       No   Dead  36.9\n",
+       "29       No  Alive  20.2\n",
+       "33       No  Alive  19.4\n",
+       "34       No  Alive  56.9\n",
+       "41       No   Dead  69.7\n",
+       "43       No   Dead  75.8\n",
+       "44       No  Alive  25.3\n",
+       "45       No   Dead  83.0\n",
+       "47       No  Alive  18.5\n",
+       "50       No  Alive  82.8\n",
+       "51       No  Alive  45.0\n",
+       "52       No   Dead  73.3\n",
+       "54       No  Alive  28.4\n",
+       "55       No   Dead  73.7\n",
+       "...     ...    ...   ...\n",
+       "1262     No  Alive  41.2\n",
+       "1265     No  Alive  26.7\n",
+       "1266     No  Alive  41.8\n",
+       "1267     No  Alive  33.7\n",
+       "1268     No  Alive  56.5\n",
+       "1272     No  Alive  33.0\n",
+       "1274     No  Alive  25.7\n",
+       "1275     No  Alive  19.5\n",
+       "1277     No  Alive  23.4\n",
+       "1279     No  Alive  34.4\n",
+       "1280     No   Dead  83.9\n",
+       "1281     No  Alive  34.9\n",
+       "1283     No   Dead  86.3\n",
+       "1286     No  Alive  63.1\n",
+       "1287     No  Alive  60.8\n",
+       "1289     No  Alive  36.7\n",
+       "1290     No  Alive  63.8\n",
+       "1291     No   Dead  71.3\n",
+       "1292     No  Alive  57.7\n",
+       "1293     No  Alive  63.2\n",
+       "1294     No  Alive  46.6\n",
+       "1298     No  Alive  39.7\n",
+       "1300     No   Dead  71.0\n",
+       "1301     No  Alive  20.5\n",
+       "1302     No  Alive  44.4\n",
+       "1306     No   Dead  61.4\n",
+       "1308     No  Alive  42.1\n",
+       "1310     No  Alive  22.3\n",
+       "1312     No   Dead  88.6\n",
+       "1313     No  Alive  39.1\n",
+       "\n",
+       "[732 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "no_smoker = data[data[\"Smoker\"]==\"No\"]\n",
+    "no_smoker"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On en déduit le total de femmes fumeuses (582) et non fumeuses (732). \n",
+    "\n",
+    "On récupère alors le nombre de femmes fumeuses mortes et vivantes avec la fonction `value_counts` : "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Alive    443\n",
+       "Dead     139\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On fait de même pour les femmes non fumeuses : "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Alive    502\n",
+       "Dead     230\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "no_smoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On synthétise les résultats dans un tableau, auquel on ajoute une ligne pour calculer le total : "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "|        |     Fumeuses     |        Non Fumeuses |\n",
+    "| :------------ | :-------------: | -------------: |\n",
+    "| Nombre de Femmes Vivantes       |     443     |        502 |\n",
+    "| Nombre de Femmes Mortes     |   139    |      230 |\n",
+    "| Total |582 | 732|"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "__Consigne : Calculez dans chaque groupe (fumeuses / non fumeuses) le taux de mortalité (le rapport entre le nombre de femmes décédées dans un groupe et le nombre total de femmes dans ce groupe). Vous pourrez proposer une représentation graphique de ces données et calculer des intervalles de confiance si vous le souhaitez. En quoi ce résultat est-il surprenant ?____"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On calcule le taux de mortalité pour les femmes fumeuses et les femmes non fumeuses à __l'intérieur de chacun des groupes__ : il s'agit du rapport entre le nombre de femmes décédées dans un groupe sur le nombre de femmes total dans ce groupe. \n",
+    "\n",
+    "On récupère le nombre de personnes décédées dans un `DataFrame` en extrayant les personnes décédées `DataFrame[DataFrame[\"Status\"]==\"Dead\"]` et on en déduit le nombre de personnes concernées en prenant la longueur de ce sous-tableau avec la fonction `len`. On récupère le nombre de femmes fumeuses (resp. non fumeuses) total en récupérant la longueur du tableau `smoker` (resp. `no_smoker`) avec la fonction `len`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.23883161512027493"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "death_rate_smoker = len(smoker[smoker[\"Status\"]==\"Dead\"])/len(smoker)\n",
+    "death_rate_smoker"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "__Le taux de mortalité des femmes fumeuses est donc de $23,88\\%$__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.31420765027322406"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "death_rate_nosmoker = len(no_smoker[no_smoker[\"Status\"]==\"Dead\"])/len(no_smoker)\n",
+    "death_rate_nosmoker"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "__Le taux de mortalité des femmes non-fumeuses est donc de $31,42\\%$__"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On représente ces données dans un diagramme en hsitogramme : "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "fig = plt.figure()\n",
+    "\n",
+    "height = [death_rate_smoker, death_rate_nosmoker]\n",
+    "x = [\"Yes\", \"No\"]\n",
+    "width = 1.0\n",
+    "\n",
+    "plt.title(\"Taux de mortalité en fonction de la catégorie femmmes fumeuses/non-fumeuses\")\n",
+    "plt.ylabel(u\"Death Rate\")\n",
+    "plt.xlabel(u\"Smoker\")\n",
+    "plt.bar(x, height, width/2)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "Ces données sont surprenantes car le taux de mortalité pour les femmes fumeuses est plus petit que celui des femmes non-fumeuses ce qui est contradictoire avec la littérature à ce sujet."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "### Partie 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "__Consigne : Reprenez la question 1 (effectifs et taux de mortalité) en rajoutant une nouvelle catégorie liée à la classe d'âge. On considérera par exemple les classes suivantes : 18-34 ans, 34-54 ans, 54-64 ans, plus de 64 ans. En quoi ce résultat est-il surprenant ? Arrivez-vous à expliquer ce paradoxe ? De même, vous pourrez proposer une représentation graphique de ces données pour étayer vos explications.__"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On extrait de notre jeu de données les femmes âgées de 18 à 34 ans, puis on applique les étapes de la partie 1."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "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>Smoker</th>\n",
+       "      <th>Status</th>\n",
+       "      <th>Age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>21.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>23.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>24.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>18.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>29.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>33.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>18.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>22.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>28.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>22.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>67</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>26.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>76</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>77</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>31.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>18.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>86</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>32.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>18.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>92</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1205</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>23.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1207</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>31.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1208</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1213</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>21.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1216</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1217</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>29.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1219</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1223</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>28.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1226</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>31.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1232</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>28.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1240</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>29.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1247</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>26.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1250</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1251</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1253</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>27.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1255</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Dead</td>\n",
+       "      <td>28.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>26.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1263</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1265</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>26.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1267</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1271</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>24.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1272</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>33.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1274</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>25.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1275</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>19.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1277</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>23.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1297</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>32.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1301</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>20.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1303</th>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>31.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1310</th>\n",
+       "      <td>No</td>\n",
+       "      <td>Alive</td>\n",
+       "      <td>22.3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>398 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Smoker Status   Age\n",
+       "0       Yes  Alive  21.0\n",
+       "1       Yes  Alive  19.3\n",
+       "6        No  Alive  23.8\n",
+       "8       Yes  Alive  24.8\n",
+       "10      Yes  Alive  30.0\n",
+       "15       No  Alive  25.1\n",
+       "17       No  Alive  27.1\n",
+       "22       No  Alive  33.4\n",
+       "24       No  Alive  18.0\n",
+       "27       No  Alive  25.8\n",
+       "29       No  Alive  20.2\n",
+       "33       No  Alive  19.4\n",
+       "37      Yes  Alive  29.5\n",
+       "38      Yes   Dead  33.0\n",
+       "44       No  Alive  25.3\n",
+       "47       No  Alive  18.5\n",
+       "49      Yes  Alive  22.1\n",
+       "54       No  Alive  28.4\n",
+       "58       No  Alive  22.9\n",
+       "65      Yes  Alive  33.0\n",
+       "67      Yes  Alive  27.9\n",
+       "71      Yes  Alive  26.2\n",
+       "76       No  Alive  27.6\n",
+       "77      Yes  Alive  31.4\n",
+       "79       No  Alive  18.9\n",
+       "81      Yes  Alive  25.4\n",
+       "84       No  Alive  27.3\n",
+       "86       No  Alive  32.8\n",
+       "91       No  Alive  18.3\n",
+       "92      Yes  Alive  20.2\n",
+       "...     ...    ...   ...\n",
+       "1205     No  Alive  23.2\n",
+       "1207    Yes  Alive  31.4\n",
+       "1208    Yes  Alive  30.0\n",
+       "1213     No  Alive  21.4\n",
+       "1216    Yes  Alive  27.9\n",
+       "1217    Yes  Alive  29.5\n",
+       "1219    Yes  Alive  27.0\n",
+       "1223    Yes  Alive  28.3\n",
+       "1226    Yes  Alive  31.0\n",
+       "1232     No  Alive  28.3\n",
+       "1240    Yes  Alive  29.7\n",
+       "1247     No  Alive  26.0\n",
+       "1250     No  Alive  19.8\n",
+       "1251    Yes  Alive  27.8\n",
+       "1253    Yes  Alive  27.8\n",
+       "1255     No   Dead  28.5\n",
+       "1256     No  Alive  26.7\n",
+       "1260    Yes  Alive  20.4\n",
+       "1263    Yes  Alive  20.9\n",
+       "1265     No  Alive  26.7\n",
+       "1267     No  Alive  33.7\n",
+       "1271    Yes  Alive  24.9\n",
+       "1272     No  Alive  33.0\n",
+       "1274     No  Alive  25.7\n",
+       "1275     No  Alive  19.5\n",
+       "1277     No  Alive  23.4\n",
+       "1297    Yes  Alive  32.7\n",
+       "1301     No  Alive  20.5\n",
+       "1303    Yes  Alive  31.2\n",
+       "1310     No  Alive  22.3\n",
+       "\n",
+       "[398 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "extract = data[data[\"Age\"]>=18]\n",
+    "extract = extract[extract[\"Age\"]<34]\n",
+    "extract"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "Pour cette première catégorie d'âge, on extrait les femmes fumeuses (`smoker`) et les femmes non-fumeuses (`nosmoker`), et on extrait à chaque fois le nombre femmes décédées et vivantes avec la fonction `value_counts()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Alive    174\n",
+       "Dead       5\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smoker = extract[extract[\"Smoker\"]==\"Yes\"]\n",
+    "smoker\n",
+    "smoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Alive    213\n",
+       "Dead       6\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nosmoker = extract[extract[\"Smoker\"]==\"No\"]\n",
+    "nosmoker\n",
+    "nosmoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On calcule pour cette tranche d'âge les taux de mortalités avec la formule explicité précédemment : "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Taux de mortalité pour les femmes fumeuses :  0.23883161512027493\n",
+      "Taux de mortalité pour les femmes non-fumeuses :  0.31420765027322406\n"
+     ]
+    }
+   ],
+   "source": [
+    "death_rate_smoker_cat1 = len(smoker[smoker[\"Status\"]==\"Dead\"])/len(smoker)\n",
+    "death_rate_nosmoker_cat1 = len(nosmoker[nosmoker[\"Status\"]==\"Dead\"])/len(nosmoker)\n",
+    "print(\"Taux de mortalité pour les femmes fumeuses : \",death_rate_smoker)\n",
+    "print(\"Taux de mortalité pour les femmes non-fumeuses : \",death_rate_nosmoker)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On fait de même pour les autres tranches d'âges. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "__Tranche 34-54ans__ : "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [],
+   "source": [
+    "extract = data[data[\"Age\"]>=34]\n",
+    "extract = extract[extract[\"Age\"]<54]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Alive    198\n",
+       "Dead      41\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smoker = extract[extract[\"Smoker\"]==\"Yes\"]\n",
+    "smoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Alive    180\n",
+       "Dead      19\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nosmoker = extract[extract[\"Smoker\"]==\"No\"]\n",
+    "nosmoker\n",
+    "nosmoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Taux de mortalité pour les femmes fumeuses :  0.23883161512027493\n",
+      "Taux de mortalité pour les femmes non-fumeuses :  0.31420765027322406\n"
+     ]
+    }
+   ],
+   "source": [
+    "death_rate_smoker_cat2 = len(smoker[smoker[\"Status\"]==\"Dead\"])/len(smoker)\n",
+    "death_rate_nosmoker_cat2 = len(nosmoker[nosmoker[\"Status\"]==\"Dead\"])/len(nosmoker)\n",
+    "print(\"Taux de mortalité pour les femmes fumeuses : \",death_rate_smoker)\n",
+    "print(\"Taux de mortalité pour les femmes non-fumeuses : \",death_rate_nosmoker)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "__Tranche 54-64ans__ :"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [],
+   "source": [
+    "extract = data[data[\"Age\"]>=54]\n",
+    "extract = extract[extract[\"Age\"]<64]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Alive    64\n",
+       "Dead     51\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smoker = extract[extract[\"Smoker\"]==\"Yes\"]\n",
+    "smoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Alive    80\n",
+       "Dead     39\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nosmoker = extract[extract[\"Smoker\"]==\"No\"]\n",
+    "nosmoker\n",
+    "nosmoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Taux de mortalité pour les femmes fumeuses :  0.23883161512027493\n",
+      "Taux de mortalité pour les femmes non-fumeuses :  0.31420765027322406\n"
+     ]
+    }
+   ],
+   "source": [
+    "death_rate_smoker_cat3 = len(smoker[smoker[\"Status\"]==\"Dead\"])/len(smoker)\n",
+    "death_rate_nosmoker_cat3 = len(nosmoker[nosmoker[\"Status\"]==\"Dead\"])/len(nosmoker)\n",
+    "print(\"Taux de mortalité pour les femmes fumeuses : \",death_rate_smoker)\n",
+    "print(\"Taux de mortalité pour les femmes non-fumeuses : \",death_rate_nosmoker)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "__Tranche plus de 64ans__ :"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [],
+   "source": [
+    "extract = data[data[\"Age\"]>=64]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dead     42\n",
+       "Alive     7\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smoker = extract[extract[\"Smoker\"]==\"Yes\"]\n",
+    "smoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dead     166\n",
+       "Alive     29\n",
+       "Name: Status, dtype: int64"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nosmoker = extract[extract[\"Smoker\"]==\"No\"]\n",
+    "nosmoker\n",
+    "nosmoker[\"Status\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Taux de mortalité pour les femmes fumeuses :  0.23883161512027493\n",
+      "Taux de mortalité pour les femmes non-fumeuses :  0.31420765027322406\n"
+     ]
+    }
+   ],
+   "source": [
+    "death_rate_smoker_cat4 = len(smoker[smoker[\"Status\"]==\"Dead\"])/len(smoker)\n",
+    "death_rate_nosmoker_cat4 = len(nosmoker[nosmoker[\"Status\"]==\"Dead\"])/len(nosmoker)\n",
+    "print(\"Taux de mortalité pour les femmes fumeuses : \",death_rate_smoker)\n",
+    "print(\"Taux de mortalité pour les femmes non-fumeuses : \",death_rate_nosmoker)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On trace alors les taux de mortalité pour les différentes classes d'âges précédemment calculés."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "\n",
+    "labels = ['18-34', '34-54', '54-64', '>64']\n",
+    "death_rate_smoker = [death_rate_smoker_cat1, death_rate_smoker_cat2, death_rate_smoker_cat3, death_rate_smoker_cat4]\n",
+    "death_rate_nosmoker = [death_rate_nosmoker_cat1, death_rate_nosmoker_cat2, death_rate_nosmoker_cat3, death_rate_nosmoker_cat4]\n",
+    "\n",
+    "death_rate_smoker= np.around(death_rate_smoker, decimals=3)\n",
+    "death_rate_nosmoker= np.around(death_rate_nosmoker, decimals=3)\n",
+    "\n",
+    "x = np.arange(len(labels)) \n",
+    "width = 0.35 \n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "rects1 = ax.bar(x - width/2, death_rate_smoker, width, label='Smoker')\n",
+    "rects2 = ax.bar(x + width/2, death_rate_nosmoker, width, label='No Smoker')\n",
+    "\n",
+    "ax.set_ylabel('Death Rate')\n",
+    "ax.set_xlabel('Age')\n",
+    "ax.set_xticks(x)\n",
+    "ax.set_xticklabels(labels)\n",
+    "ax.legend()\n",
+    "\n",
+    "\n",
+    "def autolabel(rects):\n",
+    "    \"\"\"Attach a text label above each bar in *rects*, displaying its height.\"\"\"\n",
+    "    for rect in rects:\n",
+    "        height = rect.get_height()\n",
+    "        ax.annotate('{}'.format(height),\n",
+    "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
+    "                    xytext=(0, 3),  # 3 points vertical offset\n",
+    "                    textcoords=\"offset points\",\n",
+    "                    ha='center', va='bottom')\n",
+    "\n",
+    "\n",
+    "autolabel(rects1)\n",
+    "autolabel(rects2)\n",
+    "\n",
+    "fig.tight_layout()\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On remarque que pour les femmes fumeuses ont globalement un taux de mortalité plus élevé à l'intérieur de chacune des classes d'âge, et que la différence est plus marqué pour les classes d'âges moyennes que pour celles extrêmes. On peut penser que pour les jeunes et les personnes âgées, les causes de la mort sont autres que la cigarette. D'où un taux de mortalité quasiement identique. A l'inverse, entre 34 et 64 ans, le fait de fumer entraine une augmentation du taux de mortalité qui semble claire. Logiquement, le taux de mortalité augmente avec l'âge. \n",
+    "\n",
+    "Ce résultat contredit le résultat précédent. C'est lié à des éléments qui ne sont pas pris en compte si on ne considère que le groupe total (comme la présence de variables non indépendantes ou de différences d'effectifs entre les groupes). Regardons de plus près. On calcule l'âge moyen ainsi que la variance pour les deux groupes. On utilise la fonction `mean` pour cela.  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "L'age moyen du groupe fumeuses est 44.26975945017182, avec un écart type de 16.21788646063739\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('L\\'age moyen du groupe fumeuses est {0}, avec un écart type de {1}'.format(data[data[\"Smoker\"]==\"Yes\"][\"Age\"].mean(),data[data[\"Smoker\"]==\"Yes\"][\"Age\"].std()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "L'age moyen du groupe non-fumeuses est 49.81584699453551, avec un écart type de 20.89829374608753\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('L\\'age moyen du groupe non-fumeuses est {0}, avec un écart type de {1}'.format(data[data[\"Smoker\"]==\"No\"][\"Age\"].mean(),data[data[\"Smoker\"]==\"No\"][\"Age\"].std()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "Ainsi, le groupe non-fumeuses est significativement plus âgés que le groupe fumeuse. A l'inverse, le groupe fumeuses est moins dispersé en agê. Cela introduit des biais qui expliquent le résulat de la partie 1 obtenu en considérant l'ensemble du groupe et non pas les classe d'âge : ainsi, comme les femmes fumeuses dans nos données sont plus jeunes, elles ont un taux de mortalité __global__ plus petit que celui des femmes non fumeuses, malgré le fait qu'elles fument. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Partie 3\n",
+    "\n",
+    "__Consigne : Afin d'éviter un biais induit par des regroupements en tranches d'âges arbitraires et non régulières, il est envisageable d'essayer de réaliser une régression logistique. Si on introduit une variable Death valant 1 ou 0 pour indiquer si l'individu est décédé durant la période de 20 ans, on peut étudier le modèle Death ~ Age pour étudier la probabilité de décès en fonction de l'âge selon que l'on considère le groupe des fumeuses ou des non fumeuses. Ces régressions vous permettent-elles de conclure sur la nocivité du tabagisme ? Vous pourrez proposer une représentation graphique de ces régressions (en n'omettant pas les régions de confiance).__\n",
+    "\n",
+    "On repart des données initiales, `data`. On va construire deux listes, `data_rate_smoker` et `data_rate_nosmoker` contenant le taux de mortalité à un âge $i$ donné, calculé comme la moyenne du taux de mortalité pour l'intervalle $[i-10,i+10]$, de longueur 20 ans. Pour cela, on reprend les étapes précédentes, en extrayant les femmes dont l'âge est dans l'interval, puis en calculant pour les fumeuses et les non-fumeuses le taux de mortalité. On stocke l'âge $i$ considéré dans une liste `age` pour pouvoir ploter plus facilement un graphique. On fait varier $i$ de 18ans à l'âge maximal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data_rate_smoker = []\n",
+    "data_rate_nosmoker = []\n",
+    "age = []\n",
+    "for i in range(18,int(data[\"Age\"].max())+1):\n",
+    "    extract = data[data[\"Age\"]>=i-10]\n",
+    "    extract = extract[extract[\"Age\"]<i+10]\n",
+    "    nosmoker = extract[extract[\"Smoker\"]==\"No\"]\n",
+    "    smoker = extract[extract[\"Smoker\"]==\"Yes\"]\n",
+    "    death_rate_smoker_int = len(smoker[smoker[\"Status\"]==\"Dead\"])/len(smoker)\n",
+    "    death_rate_nosmoker_int = len(nosmoker[nosmoker[\"Status\"]==\"Dead\"])/len(nosmoker)\n",
+    "    data_rate_smoker.append(death_rate_smoker_int)\n",
+    "    data_rate_nosmoker.append(death_rate_nosmoker_int)\n",
+    "    age.append(i)\n",
+    "%matplotlib inline\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.plot(age,data_rate_smoker,label=\"Smoker\")\n",
+    "plt.plot(age,data_rate_nosmoker,label='NoSmoker')\n",
+    "plt.ylabel(\"Death Rate\")\n",
+    "plt.xlabel(\"Age\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": false,
+    "hidePrompt": false
+   },
+   "source": [
+    "On remarque qu'on a bien une surmortalité dans le groupe des fumeurs jusqu'à plus de 60 ans environ. Ensuite, le graphique laisse croire que la surmortalité est plus importante chez les non fumeurs jusque 80ans environ. On n'a pas tracé les intervalles de confiance, qui permettraient de nuancer cela. On remarque une variation brutale du taux de mortalité chez les fumeurs entre 70 et 75ans. Cela laisse penser à un biais statistique dû à une mauvaise répartition des tranches d'âge dans le groupe fumeur, comme on l'a déjà souligné. L'aire entre les courbes jusqu'à leur intersection semble plus grande que celle après l'intersection : malgré ce biais statistique et malgré le fait qu'on a pas les intervalles de confiance, on peut en déduire que le tabac semble être un facteur de surmortalité. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion \n",
+    "\n",
+    "On a vu qu'en prenant le groupe dans son ensemble, les différentes répartitions dans les tranches d'âge entre les fumeuses et les non-fumeuses laissaient penser que le fait de ne pas fumer entrainé une surmortalité. On est bien sûr au courant que c'est l'inverse qui est vrai, et travailler avec des tranches d'âge permet de montrer que le tabac est facteur de surmortalité. C'est un effet classique du [paradoxe de Simpson](https://fr.wikipedia.org/wiki/Paradoxe_de_Simpson) : il s'agit d'un phénomène statistique _dans lequel un phénomène observé de plusieurs groupes semble s'inverser lorsque les groupes sont combinés. Ce résultat qui semble impossible au premier abord est lié à des éléments qui ne sont pas pris en compte (comme la présence de variables non indépendantes ou de différences d'effectifs entre les groupes, etc.) est souvent rencontré dans la réalité, en particulier dans les sciences sociales et les statistiques médicales_. "
+   ]
+  }
+ ],
+ "metadata": {
+  "hide_code_all_hidden": false,
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/module3/data.csv b/module3/data.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6c47065bc7aa53c0c92eef463cf16384eb028aaa
--- /dev/null
+++ b/module3/data.csv
@@ -0,0 +1,1315 @@
+"Smoker","Status","Age"
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+"Yes","Alive",19.3
+"No","Dead",57.5
+"No","Alive",47.1
+"Yes","Alive",81.4
+"No","Alive",36.8
+"No","Alive",23.8
+"Yes","Dead",57.5
+"Yes","Alive",24.8
+"Yes","Alive",49.5
+"Yes","Alive",30
+"No","Dead",66
+"Yes","Alive",49.2
+"No","Alive",58.4
+"No","Dead",60.6
+"No","Alive",25.1
+"No","Alive",43.5
+"No","Alive",27.1
+"No","Alive",58.3
+"Yes","Alive",65.7
+"No","Dead",73.2
+"Yes","Alive",38.3
+"No","Alive",33.4
+"Yes","Dead",62.3
+"No","Alive",18
+"No","Alive",56.2
+"Yes","Alive",59.2
+"No","Alive",25.8
+"No","Dead",36.9
+"No","Alive",20.2
+"Yes","Alive",34.6
+"Yes","Alive",51.9
+"Yes","Alive",49.9
+"No","Alive",19.4
+"No","Alive",56.9
+"Yes","Alive",46.7
+"Yes","Alive",44.4
+"Yes","Alive",29.5
+"Yes","Dead",33
+"Yes","Alive",35.6
+"Yes","Alive",39.1
+"No","Dead",69.7
+"Yes","Alive",35.7
+"No","Dead",75.8
+"No","Alive",25.3
+"No","Dead",83
+"Yes","Dead",44.3
+"No","Alive",18.5
+"Yes","Alive",37.5
+"Yes","Alive",22.1
+"No","Alive",82.8
+"No","Alive",45
+"No","Dead",73.3
+"Yes","Alive",39
+"No","Alive",28.4
+"No","Dead",73.7
+"Yes","Alive",40.1
+"No","Alive",51.2
+"No","Alive",22.9
+"No","Alive",41.9
+"Yes","Alive",58.1
+"Yes","Alive",37.3
+"No","Alive",41.7
+"Yes","Dead",36.3
+"Yes","Dead",80.7
+"Yes","Alive",33
+"Yes","Alive",38.6
+"Yes","Alive",27.9
+"No","Alive",47.6
+"No","Dead",77.6
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+"No","Alive",27.3
+"No","Dead",55.9
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+"Yes","Alive",48
+"Yes","Alive",56.1
+"No","Alive",18.3
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+"Yes","Alive",34
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+"No","Alive",30.9
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+"Yes","Alive",40.5
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+"No","Alive",25.8
+"Yes","Alive",52.1
+"Yes","Alive",50.2
+"No","Alive",38.5
+"No","Dead",56.1
+"Yes","Alive",29.8
+"No","Alive",58.1
+"No","Dead",87.6
+"No","Dead",69.6
+"Yes","Alive",33.5
+"No","Dead",86
+"Yes","Dead",22.6
+"No","Alive",53.3
+"No","Alive",21.9
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+"Yes","Alive",49.4
+"Yes","Alive",18
+"No","Alive",44.1
+"No","Dead",79.1
+"Yes","Alive",38.5
+"No","Alive",26.3
+"Yes","Alive",49.4
+"No","Alive",33.9
+"No","Dead",63.2
+"No","Alive",77.1
+"No","Dead",63.8
+"Yes","Alive",37.1
+"Yes","Alive",29.6
+"Yes","Alive",22.2
+"No","Dead",83.4
+"No","Dead",61.8
+"No","Alive",32.7
+"No","Alive",32.8
+"No","Alive",24.7
+"No","Alive",60.6
+"Yes","Alive",38.2
+"No","Dead",43.7
+"Yes","Alive",29.9
+"No","Alive",50.8
+"No","Alive",19.5
+"No","Alive",55.4
+"Yes","Alive",55.1
+"No","Dead",41.9
+"Yes","Alive",30.7
+"No","Alive",27.9
+"No","Alive",26
+"No","Dead",77.8
+"No","Alive",48.3
+"Yes","Dead",42.4
+"No","Alive",20.5
+"No","Dead",77.5
+"No","Alive",58.5
+"No","Alive",44.7
+"No","Alive",28.5
+"Yes","Alive",21
+"No","Alive",50.5
+"Yes","Alive",71.5
+"No","Alive",37.8
+"No","Alive",23.1
+"Yes","Dead",44.9
+"Yes","Alive",55.6
+"Yes","Alive",20.2
+"No","Alive",48.1
+"Yes","Alive",42.8
+"Yes","Alive",44.5
+"No","Dead",85.8
+"No","Alive",44.7
+"No","Alive",87.6
+"No","Alive",27
+"No","Alive",52
+"Yes","Alive",58.7
+"No","Alive",34.3
+"Yes","Alive",19.9
+"No","Alive",19.7
+"Yes","Alive",33.8
+"No","Alive",53
+"Yes","Alive",20.7
+"Yes","Alive",59.4
+"Yes","Alive",44.4
+"Yes","Alive",20.4
+"No","Dead",69
+"Yes","Alive",60.5
+"No","Alive",44
+"Yes","Alive",33.1
+"No","Alive",42.2
+"No","Alive",50.5
+"No","Alive",30.5
+"Yes","Alive",26.6
+"Yes","Alive",21
+"Yes","Alive",36.6
+"Yes","Alive",28.9
+"No","Alive",47.8
+"No","Dead",73.3
+"No","Alive",49.6
+"No","Alive",44.8
+"Yes","Alive",38.6
+"No","Dead",79.9
+"Yes","Dead",84.4
+"No","Dead",39.1
+"Yes","Alive",47.4
+"No","Alive",57.8
+"No","Alive",41.5
+"No","Alive",20.3
+"Yes","Alive",38.1
+"Yes","Alive",44.6
+"Yes","Alive",39.3
+"Yes","Alive",18.1
+"No","Alive",51.5
+"No","Alive",23.1
+"No","Alive",22.7
+"Yes","Alive",36.8
+"No","Alive",57.4
+"Yes","Alive",57.1
+"No","Alive",19.2
+"No","Dead",84.8
+"No","Alive",26.9
+"No","Dead",88.4
+"No","Dead",77.4
+"No","Dead",41.3
+"No","Alive",53.4
+"Yes","Alive",58.9
+"Yes","Dead",38.8
+"No","Dead",82.2
+"No","Alive",46.9
+"Yes","Alive",24.6
+"Yes","Alive",30.4
+"No","Alive",42.4
+"No","Dead",64
+"No","Alive",33.3
+"Yes","Alive",60.2
+"Yes","Alive",25
+"Yes","Dead",37.1
+"Yes","Alive",47.7
+"No","Dead",66.5
+"Yes","Dead",43.3
+"No","Alive",19.1
+"No","Alive",52.4
+"No","Alive",33.9
+"No","Alive",40
+"No","Alive",29.9
+"Yes","Alive",58.4
+"Yes","Alive",48.7
+"Yes","Alive",52.3
+"No","Dead",59.9
+"No","Alive",63.5
+"Yes","Alive",48.3
+"Yes","Alive",51.1
+"Yes","Dead",34.5
+"Yes","Alive",37.5
+"Yes","Alive",73.8
+"Yes","Alive",24.6
+"No","Dead",65.3
+"No","Alive",34.2
+"No","Alive",71.8
+"No","Dead",47.5
+"No","Alive",31.3
+"Yes","Dead",28.3
+"Yes","Dead",61.9
+"Yes","Dead",74.8
+"Yes","Alive",51
+"Yes","Dead",42.5
+"Yes","Alive",38.1
+"No","Alive",47.4
+"No","Alive",32.1
+"No","Dead",86.2
+"Yes","Alive",55.7
+"Yes","Alive",43.6
+"Yes","Dead",58.2
+"No","Alive",25.1
+"No","Dead",75
+"No","Alive",23.2
+"No","Alive",20.6
+"No","Dead",66.4
+"Yes","Alive",44
+"Yes","Alive",19.4
+"Yes","Dead",61
+"Yes","Alive",29.5
+"No","Alive",22.5
+"No","Alive",60
+"Yes","Alive",84.7
+"No","Dead",85.1
+"Yes","Dead",82
+"Yes","Alive",33.4
+"No","Alive",21.3
+"No","Dead",65.2
+"Yes","Dead",83.6
+"Yes","Alive",52.4
+"Yes","Alive",38.9
+"No","Alive",32.9
+"Yes","Alive",53.6
+"No","Alive",35.7
+"Yes","Alive",19.8
+"No","Dead",65.7
+"No","Alive",40.6
+"Yes","Alive",25.7
+"Yes","Dead",44.3
+"No","Alive",68.4
+"No","Alive",33.7
+"No","Alive",26.5
+"Yes","Alive",43.6
+"Yes","Dead",32.6
+"No","Alive",21
+"No","Alive",25.2
+"No","Dead",81.4
+"No","Dead",50.2
+"No","Alive",85
+"No","Alive",45.9
+"Yes","Dead",56.5
+"No","Alive",33.4
+"Yes","Alive",61.1
+"No","Alive",35.1
+"No","Alive",22.7
+"Yes","Alive",40.4
+"No","Alive",48.6
+"No","Dead",82.9
+"No","Dead",78.1
+"No","Alive",36.9
+"Yes","Alive",61.8
+"Yes","Alive",29.5
+"No","Alive",38.9
+"No","Dead",71.3
+"No","Alive",36.5
+"No","Dead",81.8
+"No","Alive",21.7
+"Yes","Dead",78.3
+"Yes","Alive",30.5
+"No","Alive",61.5
+"Yes","Alive",33.1
+"No","Alive",32.2
+"No","Alive",48.5
+"No","Alive",20.3
+"No","Alive",62.6
+"No","Alive",28.5
+"Yes","Alive",52.4
+"Yes","Dead",55.7
+"No","Alive",53.8
+"No","Alive",20.7
+"Yes","Alive",33.4
+"No","Alive",43.8
+"Yes","Alive",53.1
+"Yes","Alive",51.5
+"No","Alive",31.8
+"No","Dead",73.2
+"Yes","Alive",41.1
+"No","Dead",82
+"Yes","Alive",27
+"Yes","Alive",44.3
+"Yes","Dead",42.9
+"Yes","Dead",56.1
+"No","Dead",60.2
+"Yes","Alive",55.8
+"Yes","Alive",29.1
+"No","Alive",49.4
+"Yes","Dead",44.9
+"No","Dead",80.9
+"No","Alive",25.8
+"No","Alive",31.5
+"No","Dead",82.6
+"No","Alive",27.3
+"No","Alive",18.8
+"No","Alive",33.2
+"No","Alive",29.7
+"Yes","Dead",52.6
+"No","Dead",81.1
+"Yes","Dead",88.6
+"No","Alive",35
+"No","Dead",75.2
+"Yes","Alive",37.3
+"Yes","Alive",52.1
+"No","Dead",84.7
+"No","Dead",85
+"No","Alive",27
+"No","Dead",85
+"No","Alive",20.2
+"No","Alive",46.3
+"Yes","Alive",60
+"No","Dead",63.5
+"Yes","Dead",84.3
+"No","Alive",66.4
+"Yes","Alive",30.2
+"Yes","Alive",23.1
+"No","Alive",61.5
+"No","Alive",40.7
+"Yes","Alive",27.1
+"Yes","Alive",36.7
+"No","Alive",58.2
+"Yes","Alive",29.7
+"No","Alive",48.9
+"No","Alive",52.9
+"No","Alive",41.7
+"No","Alive",23
+"No","Alive",18.3
+"No","Dead",89.9
+"No","Alive",60.6
+"No","Alive",30.1
+"Yes","Alive",41.9
+"Yes","Alive",47
+"No","Alive",23.8
+"Yes","Dead",31.3
+"Yes","Dead",63.3
+"No","Alive",52.4
+"No","Alive",65
+"No","Dead",74.8
+"No","Alive",32.9
+"Yes","Dead",49.6
+"No","Alive",59.9
+"No","Alive",30.8
+"No","Alive",30.1
+"No","Alive",52
+"Yes","Alive",57.2
+"No","Dead",89.5
+"Yes","Alive",32.5
+"No","Alive",19.1
+"Yes","Alive",44
+"Yes","Dead",39.2
+"No","Alive",22.9
+"Yes","Alive",18
+"No","Alive",20.1
+"Yes","Alive",28
+"No","Alive",53
+"Yes","Alive",46.7
+"No","Alive",44.6
+"No","Alive",18.7
+"No","Dead",71.1
+"Yes","Alive",42.3
+"No","Alive",64
+"Yes","Dead",71
+"Yes","Alive",26.6
+"Yes","Alive",50.8
+"No","Alive",25.5
+"Yes","Alive",24
+"No","Alive",48.1
+"Yes","Alive",50.6
+"Yes","Alive",21.5
+"No","Alive",61.2
+"No","Dead",75.9
+"No","Dead",88
+"No","Dead",66.8
+"No","Alive",50.8
+"No","Alive",34.9
+"No","Dead",83.8
+"No","Alive",25
+"Yes","Dead",41.7
+"No","Alive",42.3
+"No","Alive",62.4
+"Yes","Alive",38.1
+"Yes","Alive",23.3
+"Yes","Alive",25.6
+"No","Dead",51.1
+"Yes","Alive",21.2
+"No","Dead",56.9
+"No","Alive",35
+"Yes","Dead",45
+"Yes","Alive",25.2
+"Yes","Alive",43.7
+"No","Dead",86.7
+"No","Alive",20.2
+"No","Dead",71.6
+"No","Dead",78.3
+"No","Alive",23.1
+"No","Dead",84.8
+"Yes","Alive",58.1
+"Yes","Alive",53.9
+"No","Alive",53.3
+"No","Alive",30.9
+"Yes","Alive",60.6
+"Yes","Dead",85.2
+"No","Alive",57.5
+"No","Alive",46.5
+"No","Dead",73.8
+"No","Alive",62.6
+"No","Alive",43.5
+"No","Alive",52.5
+"Yes","Alive",34.1
+"No","Alive",38.7
+"No","Alive",22.6
+"No","Alive",20
+"No","Alive",59.9
+"No","Dead",83.3
+"Yes","Alive",52.2
+"No","Dead",76.2
+"Yes","Alive",28
+"Yes","Alive",56.6
+"No","Dead",67.8
+"No","Alive",21.2
+"No","Alive",27.9
+"Yes","Alive",29.8
+"Yes","Alive",28.1
+"Yes","Alive",53.2
+"No","Alive",23.2
+"No","Alive",39.5
+"Yes","Alive",31.4
+"Yes","Alive",30
+"Yes","Alive",37.8
+"Yes","Alive",46.9
+"Yes","Alive",43.8
+"Yes","Alive",63.1
+"No","Alive",21.4
+"No","Dead",62.5
+"No","Alive",45.5
+"Yes","Alive",27.9
+"Yes","Alive",29.5
+"Yes","Alive",61
+"Yes","Alive",27
+"Yes","Alive",61.5
+"Yes","Dead",56.2
+"Yes","Dead",87.9
+"Yes","Alive",28.3
+"No","Dead",75.1
+"No","Dead",87.9
+"Yes","Alive",31
+"Yes","Alive",55.3
+"No","Alive",40.8
+"Yes","Alive",46.2
+"No","Alive",52.3
+"Yes","Alive",51.9
+"No","Alive",28.3
+"Yes","Alive",44.4
+"Yes","Dead",63.3
+"Yes","Alive",41
+"Yes","Alive",50.2
+"No","Alive",55.4
+"No","Dead",43.3
+"No","Alive",60.1
+"Yes","Alive",29.7
+"No","Dead",79
+"No","Dead",65.1
+"Yes","Alive",40.1
+"No","Alive",46
+"No","Alive",40.2
+"No","Dead",89.2
+"No","Alive",26
+"No","Alive",43.4
+"No","Alive",48.8
+"No","Alive",19.8
+"Yes","Alive",27.8
+"Yes","Alive",52.4
+"Yes","Alive",27.8
+"Yes","Alive",41
+"No","Dead",28.5
+"No","Alive",26.7
+"No","Alive",36
+"No","Dead",74.4
+"Yes","Alive",40.8
+"Yes","Alive",20.4
+"No","Dead",42.1
+"No","Alive",41.2
+"Yes","Alive",20.9
+"Yes","Alive",45.5
+"No","Alive",26.7
+"No","Alive",41.8
+"No","Alive",33.7
+"No","Alive",56.5
+"Yes","Alive",38.8
+"Yes","Alive",55.5
+"Yes","Alive",24.9
+"No","Alive",33
+"Yes","Alive",55.7
+"No","Alive",25.7
+"No","Alive",19.5
+"Yes","Alive",58.5
+"No","Alive",23.4
+"Yes","Alive",43.7
+"No","Alive",34.4
+"No","Dead",83.9
+"No","Alive",34.9
+"Yes","Alive",51.2
+"No","Dead",86.3
+"Yes","Dead",36
+"Yes","Alive",48.3
+"No","Alive",63.1
+"No","Alive",60.8
+"Yes","Dead",39.3
+"No","Alive",36.7
+"No","Alive",63.8
+"No","Dead",71.3
+"No","Alive",57.7
+"No","Alive",63.2
+"No","Alive",46.6
+"Yes","Dead",82.4
+"Yes","Alive",38.3
+"Yes","Alive",32.7
+"No","Alive",39.7
+"Yes","Dead",60
+"No","Dead",71
+"No","Alive",20.5
+"No","Alive",44.4
+"Yes","Alive",31.2
+"Yes","Alive",47.8
+"Yes","Alive",60.9
+"No","Dead",61.4
+"Yes","Alive",43
+"No","Alive",42.1
+"Yes","Alive",35.9
+"No","Alive",22.3
+"Yes","Dead",62.1
+"No","Dead",88.6
+"No","Alive",39.1
diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index 14d057d745584329b45180a9684827be14aa39db..840b7f4b2670a4e66c9b6ba6867af1cfd8302eda 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,10 +28,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
@@ -68,16 +66,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os.path\n",
-    "data_file = \"inciden-PAY-3.csv\"\n",
-    "folder_path = \"myLocalisation/\"\n",
-    "if not (os.path.exists(folder_path + data_file)) : \n",
-    "    df = pd.read_csv(data_url)\n",
-    "    df.to_csv(folder_path + data_file, sep = '\\t')"
+   "outputs": [
+    {
+     "ename": "UnicodeDecodeError",
+     "evalue": "'utf-8' codec can't decode byte 0xe9 in position 12: invalid continuation byte",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-5-ac94ceba2af6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mfolder_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"myLocalisation/\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfolder_path\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mdata_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m     \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_url\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m     \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfolder_path\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mdata_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msep\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'\\t'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision)\u001b[0m\n\u001b[1;32m    707\u001b[0m                     skip_blank_lines=skip_blank_lines)\n\u001b[1;32m    708\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 709\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    710\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    711\u001b[0m     \u001b[0mparser_f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    447\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    448\u001b[0m     \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 449\u001b[0;31m     \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    450\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    451\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m    816\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    817\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 818\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    819\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    820\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[0;34m(self, engine)\u001b[0m\n\u001b[1;32m   1047\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'c'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1048\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'c'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1049\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCParserWrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1050\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1051\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'python'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m   1693\u001b[0m         \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'allow_leading_cols'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex_col\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1694\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1695\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1696\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1697\u001b[0m         \u001b[0;31m# XXX\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._get_header\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mUnicodeDecodeError\u001b[0m: 'utf-8' codec can't decode byte 0xe9 in position 12: invalid continuation byte"
+     ]
+    }
+   ],
+   "source": [
+    "data_file = \"syndrome-grippal.csv\"\n",
+    "\n",
+    "import os\n",
+    "import urllib.request\n",
+    "if not os.path.exists(data_file):\n",
+    "    urllib.request.urlretrieve(data_url, data_file)"
    ]
   },
   {
@@ -99,9 +116,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'raw_data' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-1-75724d3a9812>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mraw_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mraw_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misnull\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'raw_data' is not defined"
+     ]
+    }
+   ],
    "source": [
     "raw_data[raw_data.isnull().any(axis=1)]"
    ]
diff --git a/module3/exo1/syndrome-grippal.csv b/module3/exo1/syndrome-grippal.csv
new file mode 100644
index 0000000000000000000000000000000000000000..bb36b0f6048018dca8fa100e164102a2a9483bb8
--- /dev/null
+++ b/module3/exo1/syndrome-grippal.csv
@@ -0,0 +1,1848 @@
+# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202011],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2020-05-27T09:54:57+02:00
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
+202011,3,101704,93652,109756,154,142,166,FR,France
+202010,3,104977,96650,113304,159,146,172,FR,France
+202009,3,110696,102066,119326,168,155,181,FR,France
+202008,3,143753,133984,153522,218,203,233,FR,France
+202007,3,183610,172812,194408,279,263,295,FR,France
+202006,3,206669,195481,217857,314,297,331,FR,France
+202005,3,187957,177445,198469,285,269,301,FR,France
+202004,3,122331,113492,131170,186,173,199,FR,France
+202003,3,78413,71330,85496,119,108,130,FR,France
+202002,3,53614,47654,59574,81,72,90,FR,France
+202001,3,36850,31608,42092,56,48,64,FR,France
+201952,3,28135,23220,33050,43,36,50,FR,France
+201951,3,29786,25042,34530,45,38,52,FR,France
+201950,3,34223,29156,39290,52,44,60,FR,France
+201949,3,25662,21414,29910,39,33,45,FR,France
+201948,3,22367,18055,26679,34,27,41,FR,France
+201947,3,18669,14759,22579,28,22,34,FR,France
+201946,3,16030,12567,19493,24,19,29,FR,France
+201945,3,10138,7160,13116,15,10,20,FR,France
+201944,3,7822,5010,10634,12,8,16,FR,France
+201943,3,9487,6448,12526,14,9,19,FR,France
+201942,3,7747,5243,10251,12,8,16,FR,France
+201941,3,7122,4720,9524,11,7,15,FR,France
+201940,3,8505,5784,11226,13,9,17,FR,France
+201939,3,7091,4462,9720,11,7,15,FR,France
+201938,3,4897,2891,6903,7,4,10,FR,France
+201937,3,3172,1367,4977,5,2,8,FR,France
+201936,3,2295,728,3862,3,1,5,FR,France
+201935,3,1010,2,2018,2,0,4,FR,France
+201934,3,1672,279,3065,3,1,5,FR,France
+201933,3,1593,68,3118,2,0,4,FR,France
+201932,3,1592,71,3113,2,0,4,FR,France
+201931,3,2337,695,3979,4,2,6,FR,France
+201930,3,1944,415,3473,3,1,5,FR,France
+201929,3,2096,420,3772,3,0,6,FR,France
+201928,3,1195,125,2265,2,0,4,FR,France
+201927,3,2466,848,4084,4,2,6,FR,France
+201926,3,1798,402,3194,3,1,5,FR,France
+201925,3,1544,389,2699,2,0,4,FR,France
+201924,3,876,17,1735,1,0,2,FR,France
+201923,3,2004,748,3260,3,1,5,FR,France
+201922,3,2181,602,3760,3,1,5,FR,France
+201921,3,2585,1102,4068,4,2,6,FR,France
+201920,3,2891,1202,4580,4,1,7,FR,France
+201919,3,3221,1509,4933,5,2,8,FR,France
+201918,3,1385,278,2492,2,0,4,FR,France
+201917,3,3166,1348,4984,5,2,8,FR,France
+201916,3,3842,1973,5711,6,3,9,FR,France
+201915,3,5932,3669,8195,9,6,12,FR,France
+201914,3,12675,9167,16183,19,14,24,FR,France
+201913,3,16513,12530,20496,25,19,31,FR,France
+201912,3,22184,17786,26582,34,27,41,FR,France
+201911,3,31553,26556,36550,48,40,56,FR,France
+201910,3,49742,43268,56216,76,66,86,FR,France
+201909,3,88354,79564,97144,134,121,147,FR,France
+201908,3,172604,160024,185184,262,243,281,FR,France
+201907,3,307338,291220,323456,467,443,491,FR,France
+201906,3,394286,376782,411790,599,572,626,FR,France
+201905,3,355785,339295,372275,540,515,565,FR,France
+201904,3,241090,227261,254919,366,345,387,FR,France
+201903,3,147063,135890,158236,223,206,240,FR,France
+201902,3,75548,67632,83464,115,103,127,FR,France
+201901,3,50295,43525,57065,76,66,86,FR,France
+201852,3,37903,31375,44431,58,48,68,FR,France
+201851,3,39259,32977,45541,60,50,70,FR,France
+201850,3,27781,22638,32924,42,34,50,FR,France
+201849,3,19738,15481,23995,30,24,36,FR,France
+201848,3,19501,15275,23727,30,24,36,FR,France
+201847,3,15949,12105,19793,24,18,30,FR,France
+201846,3,11278,7957,14599,17,12,22,FR,France
+201845,3,11065,7791,14339,17,12,22,FR,France
+201844,3,6586,3875,9297,10,6,14,FR,France
+201843,3,6550,3988,9112,10,6,14,FR,France
+201842,3,7787,5129,10445,12,8,16,FR,France
+201841,3,8048,5098,10998,12,8,16,FR,France
+201840,3,7409,4717,10101,11,7,15,FR,France
+201839,3,7174,4235,10113,11,7,15,FR,France
+201838,3,7349,4399,10299,11,7,15,FR,France
+201837,3,4915,2386,7444,7,3,11,FR,France
+201836,3,3215,1349,5081,5,2,8,FR,France
+201835,3,1506,239,2773,2,0,4,FR,France
+201834,3,1368,116,2620,2,0,4,FR,France
+201833,3,1962,5,3919,3,0,6,FR,France
+201832,3,1839,183,3495,3,0,6,FR,France
+201831,3,2048,242,3854,3,0,6,FR,France
+201830,3,1951,202,3700,3,0,6,FR,France
+201829,3,1951,252,3650,3,0,6,FR,France
+201828,3,1654,52,3256,3,1,5,FR,France
+201827,3,3266,1145,5387,5,2,8,FR,France
+201826,3,3758,1493,6023,6,3,9,FR,France
+201825,3,4580,2220,6940,7,3,11,FR,France
+201824,3,3223,1351,5095,5,2,8,FR,France
+201823,3,1207,136,2278,2,0,4,FR,France
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+199239,3,13535,10301,16769,24,18,30,FR,France
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diff --git a/module3/syndrome-grippal.csv b/module3/syndrome-grippal.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e16d41e5980df2bcbdf746c5bf9bda0d16bd5d76
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