Module 3 exo 1 : ajout du code pour corriger le type des valeurs en int

module3/exo1/analyse-syndrome-grippal.ipynb

@@ -1064,9 +1064,73 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "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>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1883</th>\n",
+       "      <td>198919</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator inc  inc_low  inc_up inc100  inc100_low  inc100_up  \\\n",
+       "1883  198919          3   -      NaN     NaN      -         NaN        NaN   \n",
+       "\n",
+       "     geo_insee geo_name  \n",
+       "1883        FR   France  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "raw_data[raw_data.isnull().any(axis=1)]"
    ]
@@ -1080,9 +1144,976 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "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>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202524</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22816</td>\n",
+       "      <td>17621.0</td>\n",
+       "      <td>28011.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202523</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24564</td>\n",
+       "      <td>19382.0</td>\n",
+       "      <td>29746.0</td>\n",
+       "      <td>37</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202522</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18755</td>\n",
+       "      <td>14333.0</td>\n",
+       "      <td>23177.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>23760</td>\n",
+       "      <td>18671.0</td>\n",
+       "      <td>28849.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>20265</td>\n",
+       "      <td>15814.0</td>\n",
+       "      <td>24716.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16264</td>\n",
+       "      <td>12394.0</td>\n",
+       "      <td>20134.0</td>\n",
+       "      <td>24</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18115</td>\n",
+       "      <td>13975.0</td>\n",
+       "      <td>22255.0</td>\n",
+       "      <td>27</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22150</td>\n",
+       "      <td>17291.0</td>\n",
+       "      <td>27009.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>28564</td>\n",
+       "      <td>22550.0</td>\n",
+       "      <td>34578.0</td>\n",
+       "      <td>43</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35721</td>\n",
+       "      <td>29592.0</td>\n",
+       "      <td>41850.0</td>\n",
+       "      <td>53</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>37579</td>\n",
+       "      <td>31232.0</td>\n",
+       "      <td>43926.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39673</td>\n",
+       "      <td>33686.0</td>\n",
+       "      <td>45660.0</td>\n",
+       "      <td>59</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>68.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>52543</td>\n",
+       "      <td>45627.0</td>\n",
+       "      <td>59459.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>68.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>59469</td>\n",
+       "      <td>52154.0</td>\n",
+       "      <td>66784.0</td>\n",
+       "      <td>89</td>\n",
+       "      <td>78.0</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>60334</td>\n",
+       "      <td>53048.0</td>\n",
+       "      <td>67620.0</td>\n",
+       "      <td>90</td>\n",
+       "      <td>79.0</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84531</td>\n",
+       "      <td>74994.0</td>\n",
+       "      <td>94068.0</td>\n",
+       "      <td>126</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>140.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>136020</td>\n",
+       "      <td>124824.0</td>\n",
+       "      <td>147216.0</td>\n",
+       "      <td>203</td>\n",
+       "      <td>186.0</td>\n",
+       "      <td>220.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>208952</td>\n",
+       "      <td>195988.0</td>\n",
+       "      <td>221916.0</td>\n",
+       "      <td>312</td>\n",
+       "      <td>293.0</td>\n",
+       "      <td>331.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>273519</td>\n",
+       "      <td>258159.0</td>\n",
+       "      <td>288879.0</td>\n",
+       "      <td>408</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>431.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>334395</td>\n",
+       "      <td>318416.0</td>\n",
+       "      <td>350374.0</td>\n",
+       "      <td>499</td>\n",
+       "      <td>475.0</td>\n",
+       "      <td>523.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>350043</td>\n",
+       "      <td>332885.0</td>\n",
+       "      <td>367201.0</td>\n",
+       "      <td>522</td>\n",
+       "      <td>496.0</td>\n",
+       "      <td>548.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>252772</td>\n",
+       "      <td>238917.0</td>\n",
+       "      <td>266627.0</td>\n",
+       "      <td>377</td>\n",
+       "      <td>356.0</td>\n",
+       "      <td>398.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>257247</td>\n",
+       "      <td>242991.0</td>\n",
+       "      <td>271503.0</td>\n",
+       "      <td>384</td>\n",
+       "      <td>363.0</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>231549</td>\n",
+       "      <td>214627.0</td>\n",
+       "      <td>248471.0</td>\n",
+       "      <td>345</td>\n",
+       "      <td>320.0</td>\n",
+       "      <td>370.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>201726</td>\n",
+       "      <td>185870.0</td>\n",
+       "      <td>217582.0</td>\n",
+       "      <td>302</td>\n",
+       "      <td>278.0</td>\n",
+       "      <td>326.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>201697</td>\n",
+       "      <td>187843.0</td>\n",
+       "      <td>215551.0</td>\n",
+       "      <td>302</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>323.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>136694</td>\n",
+       "      <td>126369.0</td>\n",
+       "      <td>147019.0</td>\n",
+       "      <td>205</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>220.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>108487</td>\n",
+       "      <td>99037.0</td>\n",
+       "      <td>117937.0</td>\n",
+       "      <td>163</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>177.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87381</td>\n",
+       "      <td>78687.0</td>\n",
+       "      <td>96075.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>144.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>76286</td>\n",
+       "      <td>67626.0</td>\n",
+       "      <td>84946.0</td>\n",
+       "      <td>114</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>127.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2090</th>\n",
+       "      <td>198521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26096</td>\n",
+       "      <td>19621.0</td>\n",
+       "      <td>32571.0</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2091</th>\n",
+       "      <td>198520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27896</td>\n",
+       "      <td>20885.0</td>\n",
+       "      <td>34907.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2092</th>\n",
+       "      <td>198519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43154</td>\n",
+       "      <td>32821.0</td>\n",
+       "      <td>53487.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2093</th>\n",
+       "      <td>198518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40555</td>\n",
+       "      <td>29935.0</td>\n",
+       "      <td>51175.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2094</th>\n",
+       "      <td>198517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34053</td>\n",
+       "      <td>24366.0</td>\n",
+       "      <td>43740.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2095</th>\n",
+       "      <td>198516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50362</td>\n",
+       "      <td>36451.0</td>\n",
+       "      <td>64273.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2096</th>\n",
+       "      <td>198515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>63881</td>\n",
+       "      <td>45538.0</td>\n",
+       "      <td>82224.0</td>\n",
+       "      <td>116</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2097</th>\n",
+       "      <td>198514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>134545</td>\n",
+       "      <td>114400.0</td>\n",
+       "      <td>154690.0</td>\n",
+       "      <td>244</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2098</th>\n",
+       "      <td>198513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>197206</td>\n",
+       "      <td>176080.0</td>\n",
+       "      <td>218332.0</td>\n",
+       "      <td>357</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>395.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2099</th>\n",
+       "      <td>198512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>245240</td>\n",
+       "      <td>223304.0</td>\n",
+       "      <td>267176.0</td>\n",
+       "      <td>445</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2100</th>\n",
+       "      <td>198511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>276205</td>\n",
+       "      <td>252399.0</td>\n",
+       "      <td>300011.0</td>\n",
+       "      <td>501</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2101</th>\n",
+       "      <td>198510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>353231</td>\n",
+       "      <td>326279.0</td>\n",
+       "      <td>380183.0</td>\n",
+       "      <td>640</td>\n",
+       "      <td>591.0</td>\n",
+       "      <td>689.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2102</th>\n",
+       "      <td>198509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>369895</td>\n",
+       "      <td>341109.0</td>\n",
+       "      <td>398681.0</td>\n",
+       "      <td>670</td>\n",
+       "      <td>618.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2103</th>\n",
+       "      <td>198508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>389886</td>\n",
+       "      <td>359529.0</td>\n",
+       "      <td>420243.0</td>\n",
+       "      <td>707</td>\n",
+       "      <td>652.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2104</th>\n",
+       "      <td>198507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>471852</td>\n",
+       "      <td>432599.0</td>\n",
+       "      <td>511105.0</td>\n",
+       "      <td>855</td>\n",
+       "      <td>784.0</td>\n",
+       "      <td>926.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2105</th>\n",
+       "      <td>198506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>565825</td>\n",
+       "      <td>518011.0</td>\n",
+       "      <td>613639.0</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>1113.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2106</th>\n",
+       "      <td>198505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>637302</td>\n",
+       "      <td>592795.0</td>\n",
+       "      <td>681809.0</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>1074.0</td>\n",
+       "      <td>1236.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2107</th>\n",
+       "      <td>198504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>424937</td>\n",
+       "      <td>390794.0</td>\n",
+       "      <td>459080.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>708.0</td>\n",
+       "      <td>832.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2108</th>\n",
+       "      <td>198503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>213901</td>\n",
+       "      <td>174689.0</td>\n",
+       "      <td>253113.0</td>\n",
+       "      <td>388</td>\n",
+       "      <td>317.0</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2109</th>\n",
+       "      <td>198502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>97586</td>\n",
+       "      <td>80949.0</td>\n",
+       "      <td>114223.0</td>\n",
+       "      <td>177</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2110</th>\n",
+       "      <td>198501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>85489</td>\n",
+       "      <td>65918.0</td>\n",
+       "      <td>105060.0</td>\n",
+       "      <td>155</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2111</th>\n",
+       "      <td>198452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84830</td>\n",
+       "      <td>60602.0</td>\n",
+       "      <td>109058.0</td>\n",
+       "      <td>154</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2112</th>\n",
+       "      <td>198451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101726</td>\n",
+       "      <td>80242.0</td>\n",
+       "      <td>123210.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2113</th>\n",
+       "      <td>198450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>123680</td>\n",
+       "      <td>101401.0</td>\n",
+       "      <td>145959.0</td>\n",
+       "      <td>225</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>266.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2114</th>\n",
+       "      <td>198449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101073</td>\n",
+       "      <td>81684.0</td>\n",
+       "      <td>120462.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2115</th>\n",
+       "      <td>198448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78620</td>\n",
+       "      <td>60634.0</td>\n",
+       "      <td>96606.0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2116</th>\n",
+       "      <td>198447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>72029</td>\n",
+       "      <td>54274.0</td>\n",
+       "      <td>89784.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2117</th>\n",
+       "      <td>198446</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87330</td>\n",
+       "      <td>67686.0</td>\n",
+       "      <td>106974.0</td>\n",
+       "      <td>159</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2118</th>\n",
+       "      <td>198445</td>\n",
+       "      <td>3</td>\n",
+       "      <td>135223</td>\n",
+       "      <td>101414.0</td>\n",
+       "      <td>169032.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2119</th>\n",
+       "      <td>198444</td>\n",
+       "      <td>3</td>\n",
+       "      <td>68422</td>\n",
+       "      <td>20056.0</td>\n",
+       "      <td>116788.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2119 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up inc100  inc100_low  \\\n",
+       "0     202524          3   22816   17621.0   28011.0     34        26.0   \n",
+       "1     202523          3   24564   19382.0   29746.0     37        29.0   \n",
+       "2     202522          3   18755   14333.0   23177.0     28        21.0   \n",
+       "3     202521          3   23760   18671.0   28849.0     35        27.0   \n",
+       "4     202520          3   20265   15814.0   24716.0     30        23.0   \n",
+       "5     202519          3   16264   12394.0   20134.0     24        18.0   \n",
+       "6     202518          3   18115   13975.0   22255.0     27        21.0   \n",
+       "7     202517          3   22150   17291.0   27009.0     33        26.0   \n",
+       "8     202516          3   28564   22550.0   34578.0     43        34.0   \n",
+       "9     202515          3   35721   29592.0   41850.0     53        44.0   \n",
+       "10    202514          3   37579   31232.0   43926.0     56        47.0   \n",
+       "11    202513          3   39673   33686.0   45660.0     59        50.0   \n",
+       "12    202512          3   52543   45627.0   59459.0     78        68.0   \n",
+       "13    202511          3   59469   52154.0   66784.0     89        78.0   \n",
+       "14    202510          3   60334   53048.0   67620.0     90        79.0   \n",
+       "15    202509          3   84531   74994.0   94068.0    126       112.0   \n",
+       "16    202508          3  136020  124824.0  147216.0    203       186.0   \n",
+       "17    202507          3  208952  195988.0  221916.0    312       293.0   \n",
+       "18    202506          3  273519  258159.0  288879.0    408       385.0   \n",
+       "19    202505          3  334395  318416.0  350374.0    499       475.0   \n",
+       "20    202504          3  350043  332885.0  367201.0    522       496.0   \n",
+       "21    202503          3  252772  238917.0  266627.0    377       356.0   \n",
+       "22    202502          3  257247  242991.0  271503.0    384       363.0   \n",
+       "23    202501          3  231549  214627.0  248471.0    345       320.0   \n",
+       "24    202452          3  201726  185870.0  217582.0    302       278.0   \n",
+       "25    202451          3  201697  187843.0  215551.0    302       281.0   \n",
+       "26    202450          3  136694  126369.0  147019.0    205       190.0   \n",
+       "27    202449          3  108487   99037.0  117937.0    163       149.0   \n",
+       "28    202448          3   87381   78687.0   96075.0    131       118.0   \n",
+       "29    202447          3   76286   67626.0   84946.0    114       101.0   \n",
+       "...      ...        ...     ...       ...       ...    ...         ...   \n",
+       "2090  198521          3   26096   19621.0   32571.0     47        35.0   \n",
+       "2091  198520          3   27896   20885.0   34907.0     51        38.0   \n",
+       "2092  198519          3   43154   32821.0   53487.0     78        59.0   \n",
+       "2093  198518          3   40555   29935.0   51175.0     74        55.0   \n",
+       "2094  198517          3   34053   24366.0   43740.0     62        44.0   \n",
+       "2095  198516          3   50362   36451.0   64273.0     91        66.0   \n",
+       "2096  198515          3   63881   45538.0   82224.0    116        83.0   \n",
+       "2097  198514          3  134545  114400.0  154690.0    244       207.0   \n",
+       "2098  198513          3  197206  176080.0  218332.0    357       319.0   \n",
+       "2099  198512          3  245240  223304.0  267176.0    445       405.0   \n",
+       "2100  198511          3  276205  252399.0  300011.0    501       458.0   \n",
+       "2101  198510          3  353231  326279.0  380183.0    640       591.0   \n",
+       "2102  198509          3  369895  341109.0  398681.0    670       618.0   \n",
+       "2103  198508          3  389886  359529.0  420243.0    707       652.0   \n",
+       "2104  198507          3  471852  432599.0  511105.0    855       784.0   \n",
+       "2105  198506          3  565825  518011.0  613639.0   1026       939.0   \n",
+       "2106  198505          3  637302  592795.0  681809.0   1155      1074.0   \n",
+       "2107  198504          3  424937  390794.0  459080.0    770       708.0   \n",
+       "2108  198503          3  213901  174689.0  253113.0    388       317.0   \n",
+       "2109  198502          3   97586   80949.0  114223.0    177       147.0   \n",
+       "2110  198501          3   85489   65918.0  105060.0    155       120.0   \n",
+       "2111  198452          3   84830   60602.0  109058.0    154       110.0   \n",
+       "2112  198451          3  101726   80242.0  123210.0    185       146.0   \n",
+       "2113  198450          3  123680  101401.0  145959.0    225       184.0   \n",
+       "2114  198449          3  101073   81684.0  120462.0    184       149.0   \n",
+       "2115  198448          3   78620   60634.0   96606.0    143       110.0   \n",
+       "2116  198447          3   72029   54274.0   89784.0    131        99.0   \n",
+       "2117  198446          3   87330   67686.0  106974.0    159       123.0   \n",
+       "2118  198445          3  135223  101414.0  169032.0    246       184.0   \n",
+       "2119  198444          3   68422   20056.0  116788.0    125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          42.0        FR   France  \n",
+       "1          45.0        FR   France  \n",
+       "2          35.0        FR   France  \n",
+       "3          43.0        FR   France  \n",
+       "4          37.0        FR   France  \n",
+       "5          30.0        FR   France  \n",
+       "6          33.0        FR   France  \n",
+       "7          40.0        FR   France  \n",
+       "8          52.0        FR   France  \n",
+       "9          62.0        FR   France  \n",
+       "10         65.0        FR   France  \n",
+       "11         68.0        FR   France  \n",
+       "12         88.0        FR   France  \n",
+       "13        100.0        FR   France  \n",
+       "14        101.0        FR   France  \n",
+       "15        140.0        FR   France  \n",
+       "16        220.0        FR   France  \n",
+       "17        331.0        FR   France  \n",
+       "18        431.0        FR   France  \n",
+       "19        523.0        FR   France  \n",
+       "20        548.0        FR   France  \n",
+       "21        398.0        FR   France  \n",
+       "22        405.0        FR   France  \n",
+       "23        370.0        FR   France  \n",
+       "24        326.0        FR   France  \n",
+       "25        323.0        FR   France  \n",
+       "26        220.0        FR   France  \n",
+       "27        177.0        FR   France  \n",
+       "28        144.0        FR   France  \n",
+       "29        127.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "2090       59.0        FR   France  \n",
+       "2091       64.0        FR   France  \n",
+       "2092       97.0        FR   France  \n",
+       "2093       93.0        FR   France  \n",
+       "2094       80.0        FR   France  \n",
+       "2095      116.0        FR   France  \n",
+       "2096      149.0        FR   France  \n",
+       "2097      281.0        FR   France  \n",
+       "2098      395.0        FR   France  \n",
+       "2099      485.0        FR   France  \n",
+       "2100      544.0        FR   France  \n",
+       "2101      689.0        FR   France  \n",
+       "2102      722.0        FR   France  \n",
+       "2103      762.0        FR   France  \n",
+       "2104      926.0        FR   France  \n",
+       "2105     1113.0        FR   France  \n",
+       "2106     1236.0        FR   France  \n",
+       "2107      832.0        FR   France  \n",
+       "2108      459.0        FR   France  \n",
+       "2109      207.0        FR   France  \n",
+       "2110      190.0        FR   France  \n",
+       "2111      198.0        FR   France  \n",
+       "2112      224.0        FR   France  \n",
+       "2113      266.0        FR   France  \n",
+       "2114      219.0        FR   France  \n",
+       "2115      176.0        FR   France  \n",
+       "2116      163.0        FR   France  \n",
+       "2117      195.0        FR   France  \n",
+       "2118      308.0        FR   France  \n",
+       "2119      213.0        FR   France  \n",
+       "\n",
+       "[2119 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "data = raw_data.dropna().copy()\n",
     "data"
@@ -1108,7 +2139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1138,10 +2169,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 16,
+   "metadata": {},
    "outputs": [],
    "source": [
     "sorted_data = data.set_index('period').sort_index()"
@@ -1165,9 +2194,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n"
+     ]
+    }
+   ],
    "source": [
     "periods = sorted_data.index\n",
     "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
@@ -1180,14 +2217,53 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Un premier regard sur les données !"
+    "Due à la ligne _invalide_ dans le csv d'origine, toutes les valeurs de la colonne `inc` sont considérés comme des chaines de caractères. On force la conversion des valeurs en nombres maintenant que le problème a été adressé."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
+   "source": [
+    "sorted_data['inc'] = sorted_data['inc'].astype(int)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Un premier regard sur les données !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f224ed95ef0>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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": [
     "sorted_data['inc'].plot()"
    ]
@@ -1201,9 +2277,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f224cb69630>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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": [
     "sorted_data['inc'][-200:].plot()"
    ]
@@ -1239,9 +2338,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
@@ -1327,9 +2424,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": []
   }

module3/exo2/varicelle_data.csv

+# {"source":"réseau Sentinelles, INSERM, Sorbonne Université, https:\/\/www.sentiweb.fr","meta":{"period":[199049,202524],"geo":["PAY",0],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false,"age_group":false,"span":"all"},"date":"2025-06-18T12:47:27+02:00","bundle":"1750243633"}
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+202101,7,10525,7750,13300,16,12,20,FR,France
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+202020,7,824,20,1628,1,0,2,FR,France
+202019,7,310,0,753,0,0,1,FR,France
+202018,7,849,98,1600,1,0,2,FR,France
+202017,7,272,0,658,0,0,1,FR,France
+202016,7,758,78,1438,1,0,2,FR,France
+202015,7,1918,675,3161,3,1,5,FR,France
+202014,7,3879,2227,5531,6,3,9,FR,France
+202013,7,7326,5236,9416,11,8,14,FR,France
+202012,7,8123,5790,10456,12,8,16,FR,France
+202011,7,10198,7568,12828,15,11,19,FR,France
+202010,7,9011,6691,11331,14,10,18,FR,France
+202009,7,13631,10544,16718,21,16,26,FR,France
+202008,7,10424,7708,13140,16,12,20,FR,France
+202007,7,8959,6574,11344,14,10,18,FR,France
+202006,7,9264,6925,11603,14,10,18,FR,France
+202005,7,8505,6314,10696,13,10,16,FR,France
+202004,7,7991,5831,10151,12,9,15,FR,France
+202003,7,5968,4100,7836,9,6,12,FR,France
+202002,7,6534,4530,8538,10,7,13,FR,France
+202001,7,9835,7019,12651,15,11,19,FR,France
+201952,7,7941,5246,10636,12,8,16,FR,France
+201951,7,5823,3675,7971,9,6,12,FR,France
+201950,7,6424,4276,8572,10,7,13,FR,France
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+201946,7,2638,1316,3960,4,2,6,FR,France
+201945,7,4492,2615,6369,7,4,10,FR,France
+201944,7,5728,3627,7829,9,6,12,FR,France
+201943,7,4834,2751,6917,7,4,10,FR,France
+201942,7,6279,3989,8569,10,7,13,FR,France
+201941,7,4130,2030,6230,6,3,9,FR,France
+201940,7,4211,2218,6204,6,3,9,FR,France
+201939,7,3137,1310,4964,5,2,8,FR,France
+201938,7,3078,1416,4740,5,2,8,FR,France
+201937,7,970,162,1778,1,0,2,FR,France
+201936,7,1277,263,2291,2,0,4,FR,France
+201935,7,922,0,1857,1,0,2,FR,France
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