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Commit 3a8bb5a6 authored by 8057a7ae58e587eb7d45460ceced4594's avatar 8057a7ae58e587eb7d45460ceced4594
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module3/exo1/influenza-like-illness-analysis.ipynb
View file @ 3a8bb5a6
......@@ -9,10 +9,8 @@
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
......@@ -30,10 +28,8 @@
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
......@@ -63,14 +59,990 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
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" <td>30732.0</td>\n",
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" <td>33.0</td>\n",
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" <td>35397.0</td>\n",
" <td>46</td>\n",
" <td>39.0</td>\n",
" <td>53.0</td>\n",
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" <td>France</td>\n",
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" <td>20718.0</td>\n",
" <td>29258.0</td>\n",
" <td>38</td>\n",
" <td>32.0</td>\n",
" <td>44.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>27</th>\n",
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" <td>19539</td>\n",
" <td>15951.0</td>\n",
" <td>23127.0</td>\n",
" <td>30</td>\n",
" <td>25.0</td>\n",
" <td>35.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <td>17572</td>\n",
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" <td>21218.0</td>\n",
" <td>27</td>\n",
" <td>21.0</td>\n",
" <td>33.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <td>20882</td>\n",
" <td>16907.0</td>\n",
" <td>24857.0</td>\n",
" <td>32</td>\n",
" <td>26.0</td>\n",
" <td>38.0</td>\n",
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" <td>26096</td>\n",
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" <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",
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" <tr>\n",
" <th>1896</th>\n",
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" <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",
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" <th>1897</th>\n",
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" <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",
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" <th>1898</th>\n",
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" <td>51175.0</td>\n",
" <td>74</td>\n",
" <td>55.0</td>\n",
" <td>93.0</td>\n",
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" <td>France</td>\n",
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" <th>1899</th>\n",
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" <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",
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" <th>1900</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",
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" <tr>\n",
" <th>1901</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>1902</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>1903</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>1904</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>1905</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>1906</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>1907</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>1908</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",
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" <tr>\n",
" <th>1909</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>1910</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>1911</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>1912</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>1913</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>1914</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>1915</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>1916</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>1917</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>1918</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>1919</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>1920</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>1921</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>1922</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>1923</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>1924</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>1925 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202137 3 17027 12666.0 21388.0 26 19.0 \n",
"1 202136 3 10224 7428.0 13020.0 15 11.0 \n",
"2 202135 3 12518 9208.0 15828.0 19 14.0 \n",
"3 202134 3 13015 9485.0 16545.0 20 15.0 \n",
"4 202133 3 10392 7042.0 13742.0 16 11.0 \n",
"5 202132 3 15586 11009.0 20163.0 24 17.0 \n",
"6 202131 3 18855 13664.0 24046.0 29 21.0 \n",
"7 202130 3 13991 9695.0 18287.0 21 14.0 \n",
"8 202129 3 13626 9618.0 17634.0 21 15.0 \n",
"9 202128 3 8636 5430.0 11842.0 13 8.0 \n",
"10 202127 3 10693 6838.0 14548.0 16 10.0 \n",
"11 202126 3 7086 4109.0 10063.0 11 6.0 \n",
"12 202125 3 7942 5540.0 10344.0 12 8.0 \n",
"13 202124 3 4855 3011.0 6699.0 7 4.0 \n",
"14 202123 3 6710 4455.0 8965.0 10 7.0 \n",
"15 202122 3 7879 5495.0 10263.0 12 8.0 \n",
"16 202121 3 7827 5403.0 10251.0 12 8.0 \n",
"17 202120 3 10278 7540.0 13016.0 16 12.0 \n",
"18 202119 3 9539 6860.0 12218.0 14 10.0 \n",
"19 202118 3 12135 9165.0 15105.0 18 14.0 \n",
"20 202117 3 12058 8891.0 15225.0 18 13.0 \n",
"21 202116 3 16505 12735.0 20275.0 25 19.0 \n",
"22 202115 3 19306 15398.0 23214.0 29 23.0 \n",
"23 202114 3 21073 17099.0 25047.0 32 26.0 \n",
"24 202113 3 26413 22094.0 30732.0 40 33.0 \n",
"25 202112 3 30658 25919.0 35397.0 46 39.0 \n",
"26 202111 3 24988 20718.0 29258.0 38 32.0 \n",
"27 202110 3 19539 15951.0 23127.0 30 25.0 \n",
"28 202109 3 17572 13926.0 21218.0 27 21.0 \n",
"29 202108 3 20882 16907.0 24857.0 32 26.0 \n",
"... ... ... ... ... ... ... ... \n",
"1895 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1896 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1897 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1898 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1899 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1900 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1901 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1902 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1903 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1904 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1905 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1906 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1907 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1908 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1909 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1910 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1911 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1912 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1913 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1914 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1915 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1916 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1917 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1918 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1919 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1920 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1921 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1922 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1923 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1924 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 33.0 FR France \n",
"1 19.0 FR France \n",
"2 24.0 FR France \n",
"3 25.0 FR France \n",
"4 21.0 FR France \n",
"5 31.0 FR France \n",
"6 37.0 FR France \n",
"7 28.0 FR France \n",
"8 27.0 FR France \n",
"9 18.0 FR France \n",
"10 22.0 FR France \n",
"11 16.0 FR France \n",
"12 16.0 FR France \n",
"13 10.0 FR France \n",
"14 13.0 FR France \n",
"15 16.0 FR France \n",
"16 16.0 FR France \n",
"17 20.0 FR France \n",
"18 18.0 FR France \n",
"19 22.0 FR France \n",
"20 23.0 FR France \n",
"21 31.0 FR France \n",
"22 35.0 FR France \n",
"23 38.0 FR France \n",
"24 47.0 FR France \n",
"25 53.0 FR France \n",
"26 44.0 FR France \n",
"27 35.0 FR France \n",
"28 33.0 FR France \n",
"29 38.0 FR France \n",
"... ... ... ... \n",
"1895 59.0 FR France \n",
"1896 64.0 FR France \n",
"1897 97.0 FR France \n",
"1898 93.0 FR France \n",
"1899 80.0 FR France \n",
"1900 116.0 FR France \n",
"1901 149.0 FR France \n",
"1902 281.0 FR France \n",
"1903 395.0 FR France \n",
"1904 485.0 FR France \n",
"1905 544.0 FR France \n",
"1906 689.0 FR France \n",
"1907 722.0 FR France \n",
"1908 762.0 FR France \n",
"1909 926.0 FR France \n",
"1910 1113.0 FR France \n",
"1911 1236.0 FR France \n",
"1912 832.0 FR France \n",
"1913 459.0 FR France \n",
"1914 207.0 FR France \n",
"1915 190.0 FR France \n",
"1916 198.0 FR France \n",
"1917 224.0 FR France \n",
"1918 266.0 FR France \n",
"1919 219.0 FR France \n",
"1920 176.0 FR France \n",
"1921 163.0 FR France \n",
"1922 195.0 FR France \n",
"1923 308.0 FR France \n",
"1924 213.0 FR France \n",
"\n",
"[1925 rows x 10 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"raw_data.to_csv(\"raw_data.csv\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
......@@ -365,7 +1337,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
"version": "3.6.4"
}
},
"nbformat": 4,
......
module3/exo1/raw_data.csv 0 → 100644
View file @ 3a8bb5a6
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