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380cc8e9b79b95c0e13437c2ec7c19c4
mooc-rr
Commits
baab4000
Commit
baab4000
authored
Jan 10, 2023
by
380cc8e9b79b95c0e13437c2ec7c19c4
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module 3 exercise
parent
6b0a47b3
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influenza-like-illness-analysis.ipynb
module3/exo1/influenza-like-illness-analysis.ipynb
+1049
-15
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module3/exo1/influenza-like-illness-analysis.ipynb
View file @
baab4000
...
...
@@ -9,10 +9,8 @@
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
...
...
@@ -30,13 +28,11 @@
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
"data_url = \"http
s
://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
]
},
{
...
...
@@ -71,6 +67,13 @@
"raw_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I downloaded the CSV file from the sentilles webpage and added the URL to the notebook. Then I ran the command to save and show the data"
]
},
{
"cell_type": "markdown",
"metadata": {},
...
...
@@ -80,9 +83,73 @@
},
{
"cell_type": "code",
"execution_count":
null
,
"execution_count":
7
,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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"\n",
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" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
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" <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",
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" <th>geo_insee</th>\n",
" <th>geo_name</th>\n",
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"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n",
"1755 198919 3 0 NaN NaN 0 NaN NaN \n",
"\n",
" geo_insee geo_name \n",
"1755 FR France "
]
},
"execution_count": 7,
"metadata": {},
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}
],
"source": [
"raw_data[raw_data.isnull().any(axis=1)]"
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...
...
@@ -96,11 +163,978 @@
},
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null
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"execution_count":
10
,
"metadata": {},
"outputs": [],
"outputs": [
{
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" <td>78.0</td>\n",
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" <td>52654.0</td>\n",
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" <tr>\n",
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" <td>202242</td>\n",
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" <td>47462</td>\n",
" <td>40773.0</td>\n",
" <td>54151.0</td>\n",
" <td>72</td>\n",
" <td>62.0</td>\n",
" <td>82.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>11</th>\n",
" <td>202241</td>\n",
" <td>3</td>\n",
" <td>48583</td>\n",
" <td>42388.0</td>\n",
" <td>54778.0</td>\n",
" <td>73</td>\n",
" <td>64.0</td>\n",
" <td>82.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>12</th>\n",
" <td>202240</td>\n",
" <td>3</td>\n",
" <td>41927</td>\n",
" <td>36115.0</td>\n",
" <td>47739.0</td>\n",
" <td>63</td>\n",
" <td>54.0</td>\n",
" <td>72.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>13</th>\n",
" <td>202239</td>\n",
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" <td>39902</td>\n",
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" <td>60</td>\n",
" <td>51.0</td>\n",
" <td>69.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>14</th>\n",
" <td>202238</td>\n",
" <td>3</td>\n",
" <td>28781</td>\n",
" <td>23733.0</td>\n",
" <td>33829.0</td>\n",
" <td>43</td>\n",
" <td>35.0</td>\n",
" <td>51.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>15</th>\n",
" <td>202237</td>\n",
" <td>3</td>\n",
" <td>21395</td>\n",
" <td>17076.0</td>\n",
" <td>25714.0</td>\n",
" <td>32</td>\n",
" <td>25.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>202236</td>\n",
" <td>3</td>\n",
" <td>14120</td>\n",
" <td>10487.0</td>\n",
" <td>17753.0</td>\n",
" <td>21</td>\n",
" <td>16.0</td>\n",
" <td>26.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>202235</td>\n",
" <td>3</td>\n",
" <td>9283</td>\n",
" <td>6485.0</td>\n",
" <td>12081.0</td>\n",
" <td>14</td>\n",
" <td>10.0</td>\n",
" <td>18.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>202234</td>\n",
" <td>3</td>\n",
" <td>7498</td>\n",
" <td>4731.0</td>\n",
" <td>10265.0</td>\n",
" <td>11</td>\n",
" <td>7.0</td>\n",
" <td>15.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>19</th>\n",
" <td>202233</td>\n",
" <td>3</td>\n",
" <td>7586</td>\n",
" <td>4442.0</td>\n",
" <td>10730.0</td>\n",
" <td>11</td>\n",
" <td>6.0</td>\n",
" <td>16.0</td>\n",
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" <td>France</td>\n",
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" <th>20</th>\n",
" <td>202232</td>\n",
" <td>3</td>\n",
" <td>12222</td>\n",
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" <td>16695.0</td>\n",
" <td>18</td>\n",
" <td>11.0</td>\n",
" <td>25.0</td>\n",
" <td>FR</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>202231</td>\n",
" <td>3</td>\n",
" <td>13257</td>\n",
" <td>8905.0</td>\n",
" <td>17609.0</td>\n",
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" <td>13.0</td>\n",
" <td>27.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>22</th>\n",
" <td>202230</td>\n",
" <td>3</td>\n",
" <td>15006</td>\n",
" <td>10738.0</td>\n",
" <td>19274.0</td>\n",
" <td>23</td>\n",
" <td>17.0</td>\n",
" <td>29.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>23</th>\n",
" <td>202229</td>\n",
" <td>3</td>\n",
" <td>20801</td>\n",
" <td>15829.0</td>\n",
" <td>25773.0</td>\n",
" <td>31</td>\n",
" <td>24.0</td>\n",
" <td>38.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>202228</td>\n",
" <td>3</td>\n",
" <td>23387</td>\n",
" <td>17970.0</td>\n",
" <td>28804.0</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>25</th>\n",
" <td>202227</td>\n",
" <td>3</td>\n",
" <td>36015</td>\n",
" <td>29709.0</td>\n",
" <td>42321.0</td>\n",
" <td>54</td>\n",
" <td>44.0</td>\n",
" <td>64.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>202226</td>\n",
" <td>3</td>\n",
" <td>29421</td>\n",
" <td>24314.0</td>\n",
" <td>34528.0</td>\n",
" <td>44</td>\n",
" <td>36.0</td>\n",
" <td>52.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202225</td>\n",
" <td>3</td>\n",
" <td>22887</td>\n",
" <td>18582.0</td>\n",
" <td>27192.0</td>\n",
" <td>35</td>\n",
" <td>29.0</td>\n",
" <td>41.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>202224</td>\n",
" <td>3</td>\n",
" <td>19294</td>\n",
" <td>15406.0</td>\n",
" <td>23182.0</td>\n",
" <td>29</td>\n",
" <td>23.0</td>\n",
" <td>35.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>202223</td>\n",
" <td>3</td>\n",
" <td>17159</td>\n",
" <td>13450.0</td>\n",
" <td>20868.0</td>\n",
" <td>26</td>\n",
" <td>20.0</td>\n",
" <td>32.0</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>1962</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>1963</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>1964</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>1965</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>1966</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>1967</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>1968</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>1969</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>1970</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>1971</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>1972</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>1973</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>1974</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>1975</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>1976</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>1977</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>1978</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>1979</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>1980</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>1981</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>1982</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>1983</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>1984</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>1985</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>1986</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>1987</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>1988</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>1989</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>1990</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>1991</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>1991 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202252 3 156629 143097.0 170161.0 236 216.0 \n",
"1 202251 3 248311 232120.0 264502.0 374 350.0 \n",
"2 202250 3 234279 219533.0 249025.0 353 331.0 \n",
"3 202249 3 163421 151727.0 175115.0 246 228.0 \n",
"4 202248 3 121884 111932.0 131836.0 184 169.0 \n",
"5 202247 3 96447 87259.0 105635.0 145 131.0 \n",
"6 202246 3 67735 60075.0 75395.0 102 90.0 \n",
"7 202245 3 45306 38909.0 51703.0 68 58.0 \n",
"8 202244 3 34713 28880.0 40546.0 52 43.0 \n",
"9 202243 3 44769 36884.0 52654.0 68 56.0 \n",
"10 202242 3 47462 40773.0 54151.0 72 62.0 \n",
"11 202241 3 48583 42388.0 54778.0 73 64.0 \n",
"12 202240 3 41927 36115.0 47739.0 63 54.0 \n",
"13 202239 3 39902 34168.0 45636.0 60 51.0 \n",
"14 202238 3 28781 23733.0 33829.0 43 35.0 \n",
"15 202237 3 21395 17076.0 25714.0 32 25.0 \n",
"16 202236 3 14120 10487.0 17753.0 21 16.0 \n",
"17 202235 3 9283 6485.0 12081.0 14 10.0 \n",
"18 202234 3 7498 4731.0 10265.0 11 7.0 \n",
"19 202233 3 7586 4442.0 10730.0 11 6.0 \n",
"20 202232 3 12222 7749.0 16695.0 18 11.0 \n",
"21 202231 3 13257 8905.0 17609.0 20 13.0 \n",
"22 202230 3 15006 10738.0 19274.0 23 17.0 \n",
"23 202229 3 20801 15829.0 25773.0 31 24.0 \n",
"24 202228 3 23387 17970.0 28804.0 35 27.0 \n",
"25 202227 3 36015 29709.0 42321.0 54 44.0 \n",
"26 202226 3 29421 24314.0 34528.0 44 36.0 \n",
"27 202225 3 22887 18582.0 27192.0 35 29.0 \n",
"28 202224 3 19294 15406.0 23182.0 29 23.0 \n",
"29 202223 3 17159 13450.0 20868.0 26 20.0 \n",
"... ... ... ... ... ... ... ... \n",
"1962 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1963 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1964 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1965 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1966 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1967 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1968 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1969 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1970 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1971 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1972 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1973 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1974 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1975 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1976 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1977 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1978 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1979 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1980 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1981 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1982 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1983 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1984 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1985 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1986 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1987 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1988 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1989 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1990 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1991 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 256.0 FR France \n",
"1 398.0 FR France \n",
"2 375.0 FR France \n",
"3 264.0 FR France \n",
"4 199.0 FR France \n",
"5 159.0 FR France \n",
"6 114.0 FR France \n",
"7 78.0 FR France \n",
"8 61.0 FR France \n",
"9 80.0 FR France \n",
"10 82.0 FR France \n",
"11 82.0 FR France \n",
"12 72.0 FR France \n",
"13 69.0 FR France \n",
"14 51.0 FR France \n",
"15 39.0 FR France \n",
"16 26.0 FR France \n",
"17 18.0 FR France \n",
"18 15.0 FR France \n",
"19 16.0 FR France \n",
"20 25.0 FR France \n",
"21 27.0 FR France \n",
"22 29.0 FR France \n",
"23 38.0 FR France \n",
"24 43.0 FR France \n",
"25 64.0 FR France \n",
"26 52.0 FR France \n",
"27 41.0 FR France \n",
"28 35.0 FR France \n",
"29 32.0 FR France \n",
"... ... ... ... \n",
"1962 59.0 FR France \n",
"1963 64.0 FR France \n",
"1964 97.0 FR France \n",
"1965 93.0 FR France \n",
"1966 80.0 FR France \n",
"1967 116.0 FR France \n",
"1968 149.0 FR France \n",
"1969 281.0 FR France \n",
"1970 395.0 FR France \n",
"1971 485.0 FR France \n",
"1972 544.0 FR France \n",
"1973 689.0 FR France \n",
"1974 722.0 FR France \n",
"1975 762.0 FR France \n",
"1976 926.0 FR France \n",
"1977 1113.0 FR France \n",
"1978 1236.0 FR France \n",
"1979 832.0 FR France \n",
"1980 459.0 FR France \n",
"1981 207.0 FR France \n",
"1982 190.0 FR France \n",
"1983 198.0 FR France \n",
"1984 224.0 FR France \n",
"1985 266.0 FR France \n",
"1986 219.0 FR France \n",
"1987 176.0 FR France \n",
"1988 163.0 FR France \n",
"1989 195.0 FR France \n",
"1990 308.0 FR France \n",
"1991 213.0 FR France \n",
"\n",
"[1991 rows x 10 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = raw_data.dropna().copy()\n",
"
data = raw_data.dropna().copy()\n",
"data"
]
},
...
...
@@ -365,7 +1399,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.
1
"
"version": "3.6.
4
"
}
},
"nbformat": 4,
...
...
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