Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
M
mooc-rr
Project
Project
Details
Activity
Releases
Cycle Analytics
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Charts
Issues
0
Issues
0
List
Board
Labels
Milestones
Merge Requests
0
Merge Requests
0
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Charts
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Charts
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
88dd9cf797da5f7aef1fdc28ec660021
mooc-rr
Commits
9d9dc155
Commit
9d9dc155
authored
Mar 04, 2021
by
88dd9cf797da5f7aef1fdc28ec660021
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
premier essai avec telechargement
parent
bb79b692
Changes
2
Show whitespace changes
Inline
Side-by-side
Showing
2 changed files
with
3907 additions
and
3 deletions
+3907
-3
analyse-syndrome-grippal.ipynb
module3/exo1/analyse-syndrome-grippal.ipynb
+2010
-3
datatelecharge.csv
module3/exo1/datatelecharge.csv
+1897
-0
No files found.
module3/exo1/analyse-syndrome-grippal.ipynb
View file @
9d9dc155
...
...
@@ -61,9 +61,976 @@
},
{
"cell_type": "code",
"execution_count":
null
,
"execution_count":
12
,
"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>202108</td>\n",
" <td>3</td>\n",
" <td>27492</td>\n",
" <td>22140.0</td>\n",
" <td>32844.0</td>\n",
" <td>42</td>\n",
" <td>34.0</td>\n",
" <td>50.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>202107</td>\n",
" <td>3</td>\n",
" <td>22191</td>\n",
" <td>18096.0</td>\n",
" <td>26286.0</td>\n",
" <td>34</td>\n",
" <td>28.0</td>\n",
" <td>40.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>202106</td>\n",
" <td>3</td>\n",
" <td>23171</td>\n",
" <td>19122.0</td>\n",
" <td>27220.0</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>3</th>\n",
" <td>202105</td>\n",
" <td>3</td>\n",
" <td>22426</td>\n",
" <td>18445.0</td>\n",
" <td>26407.0</td>\n",
" <td>34</td>\n",
" <td>28.0</td>\n",
" <td>40.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>202104</td>\n",
" <td>3</td>\n",
" <td>25804</td>\n",
" <td>21491.0</td>\n",
" <td>30117.0</td>\n",
" <td>39</td>\n",
" <td>32.0</td>\n",
" <td>46.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>202103</td>\n",
" <td>3</td>\n",
" <td>21810</td>\n",
" <td>17894.0</td>\n",
" <td>25726.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>202102</td>\n",
" <td>3</td>\n",
" <td>17320</td>\n",
" <td>13906.0</td>\n",
" <td>20734.0</td>\n",
" <td>26</td>\n",
" <td>21.0</td>\n",
" <td>31.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>202101</td>\n",
" <td>3</td>\n",
" <td>21799</td>\n",
" <td>17778.0</td>\n",
" <td>25820.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>202053</td>\n",
" <td>3</td>\n",
" <td>21220</td>\n",
" <td>16498.0</td>\n",
" <td>25942.0</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>9</th>\n",
" <td>202052</td>\n",
" <td>3</td>\n",
" <td>16428</td>\n",
" <td>12285.0</td>\n",
" <td>20571.0</td>\n",
" <td>25</td>\n",
" <td>19.0</td>\n",
" <td>31.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>202051</td>\n",
" <td>3</td>\n",
" <td>21619</td>\n",
" <td>17370.0</td>\n",
" <td>25868.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>202050</td>\n",
" <td>3</td>\n",
" <td>16845</td>\n",
" <td>13220.0</td>\n",
" <td>20470.0</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>12</th>\n",
" <td>202049</td>\n",
" <td>3</td>\n",
" <td>12939</td>\n",
" <td>9923.0</td>\n",
" <td>15955.0</td>\n",
" <td>20</td>\n",
" <td>15.0</td>\n",
" <td>25.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>202048</td>\n",
" <td>3</td>\n",
" <td>13804</td>\n",
" <td>10641.0</td>\n",
" <td>16967.0</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>14</th>\n",
" <td>202047</td>\n",
" <td>3</td>\n",
" <td>19085</td>\n",
" <td>15285.0</td>\n",
" <td>22885.0</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>15</th>\n",
" <td>202046</td>\n",
" <td>3</td>\n",
" <td>24801</td>\n",
" <td>20503.0</td>\n",
" <td>29099.0</td>\n",
" <td>38</td>\n",
" <td>31.0</td>\n",
" <td>45.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>202045</td>\n",
" <td>3</td>\n",
" <td>42516</td>\n",
" <td>36857.0</td>\n",
" <td>48175.0</td>\n",
" <td>65</td>\n",
" <td>56.0</td>\n",
" <td>74.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>202044</td>\n",
" <td>3</td>\n",
" <td>44567</td>\n",
" <td>38521.0</td>\n",
" <td>50613.0</td>\n",
" <td>68</td>\n",
" <td>59.0</td>\n",
" <td>77.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>202043</td>\n",
" <td>3</td>\n",
" <td>43737</td>\n",
" <td>37523.0</td>\n",
" <td>49951.0</td>\n",
" <td>66</td>\n",
" <td>57.0</td>\n",
" <td>75.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>202042</td>\n",
" <td>3</td>\n",
" <td>35145</td>\n",
" <td>29812.0</td>\n",
" <td>40478.0</td>\n",
" <td>53</td>\n",
" <td>45.0</td>\n",
" <td>61.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>202041</td>\n",
" <td>3</td>\n",
" <td>27877</td>\n",
" <td>23206.0</td>\n",
" <td>32548.0</td>\n",
" <td>42</td>\n",
" <td>35.0</td>\n",
" <td>49.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>202040</td>\n",
" <td>3</td>\n",
" <td>20443</td>\n",
" <td>16381.0</td>\n",
" <td>24505.0</td>\n",
" <td>31</td>\n",
" <td>25.0</td>\n",
" <td>37.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>202039</td>\n",
" <td>3</td>\n",
" <td>19810</td>\n",
" <td>15900.0</td>\n",
" <td>23720.0</td>\n",
" <td>30</td>\n",
" <td>24.0</td>\n",
" <td>36.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>202038</td>\n",
" <td>3</td>\n",
" <td>25562</td>\n",
" <td>21142.0</td>\n",
" <td>29982.0</td>\n",
" <td>39</td>\n",
" <td>32.0</td>\n",
" <td>46.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>202037</td>\n",
" <td>3</td>\n",
" <td>18485</td>\n",
" <td>14649.0</td>\n",
" <td>22321.0</td>\n",
" <td>28</td>\n",
" <td>22.0</td>\n",
" <td>34.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>202036</td>\n",
" <td>3</td>\n",
" <td>10390</td>\n",
" <td>7646.0</td>\n",
" <td>13134.0</td>\n",
" <td>16</td>\n",
" <td>12.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>202035</td>\n",
" <td>3</td>\n",
" <td>9918</td>\n",
" <td>6842.0</td>\n",
" <td>12994.0</td>\n",
" <td>15</td>\n",
" <td>10.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202034</td>\n",
" <td>3</td>\n",
" <td>6084</td>\n",
" <td>3090.0</td>\n",
" <td>9078.0</td>\n",
" <td>9</td>\n",
" <td>4.0</td>\n",
" <td>14.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>202033</td>\n",
" <td>3</td>\n",
" <td>6106</td>\n",
" <td>3411.0</td>\n",
" <td>8801.0</td>\n",
" <td>9</td>\n",
" <td>5.0</td>\n",
" <td>13.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>202032</td>\n",
" <td>3</td>\n",
" <td>5918</td>\n",
" <td>3330.0</td>\n",
" <td>8506.0</td>\n",
" <td>9</td>\n",
" <td>5.0</td>\n",
" <td>13.0</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>1866</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>1867</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>1868</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>1869</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>1870</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>1871</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>1872</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>1873</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>1874</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>1875</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>1876</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>1877</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>1878</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>1879</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>1880</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>1881</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>1882</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>1883</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>1884</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>1885</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>1886</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>1887</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>1888</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>1889</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>1890</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>1891</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>1892</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>1893</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>1894</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>1895</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>1896 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202108 3 27492 22140.0 32844.0 42 34.0 \n",
"1 202107 3 22191 18096.0 26286.0 34 28.0 \n",
"2 202106 3 23171 19122.0 27220.0 35 29.0 \n",
"3 202105 3 22426 18445.0 26407.0 34 28.0 \n",
"4 202104 3 25804 21491.0 30117.0 39 32.0 \n",
"5 202103 3 21810 17894.0 25726.0 33 27.0 \n",
"6 202102 3 17320 13906.0 20734.0 26 21.0 \n",
"7 202101 3 21799 17778.0 25820.0 33 27.0 \n",
"8 202053 3 21220 16498.0 25942.0 32 25.0 \n",
"9 202052 3 16428 12285.0 20571.0 25 19.0 \n",
"10 202051 3 21619 17370.0 25868.0 33 27.0 \n",
"11 202050 3 16845 13220.0 20470.0 26 20.0 \n",
"12 202049 3 12939 9923.0 15955.0 20 15.0 \n",
"13 202048 3 13804 10641.0 16967.0 21 16.0 \n",
"14 202047 3 19085 15285.0 22885.0 29 23.0 \n",
"15 202046 3 24801 20503.0 29099.0 38 31.0 \n",
"16 202045 3 42516 36857.0 48175.0 65 56.0 \n",
"17 202044 3 44567 38521.0 50613.0 68 59.0 \n",
"18 202043 3 43737 37523.0 49951.0 66 57.0 \n",
"19 202042 3 35145 29812.0 40478.0 53 45.0 \n",
"20 202041 3 27877 23206.0 32548.0 42 35.0 \n",
"21 202040 3 20443 16381.0 24505.0 31 25.0 \n",
"22 202039 3 19810 15900.0 23720.0 30 24.0 \n",
"23 202038 3 25562 21142.0 29982.0 39 32.0 \n",
"24 202037 3 18485 14649.0 22321.0 28 22.0 \n",
"25 202036 3 10390 7646.0 13134.0 16 12.0 \n",
"26 202035 3 9918 6842.0 12994.0 15 10.0 \n",
"27 202034 3 6084 3090.0 9078.0 9 4.0 \n",
"28 202033 3 6106 3411.0 8801.0 9 5.0 \n",
"29 202032 3 5918 3330.0 8506.0 9 5.0 \n",
"... ... ... ... ... ... ... ... \n",
"1866 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1867 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1868 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1869 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1870 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1871 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1872 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1873 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1874 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1875 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1876 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1877 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1878 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1879 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1880 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1881 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1882 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1883 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1884 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1885 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1886 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1887 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1888 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1889 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1890 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1891 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1892 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1893 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1894 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1895 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 50.0 FR France \n",
"1 40.0 FR France \n",
"2 41.0 FR France \n",
"3 40.0 FR France \n",
"4 46.0 FR France \n",
"5 39.0 FR France \n",
"6 31.0 FR France \n",
"7 39.0 FR France \n",
"8 39.0 FR France \n",
"9 31.0 FR France \n",
"10 39.0 FR France \n",
"11 32.0 FR France \n",
"12 25.0 FR France \n",
"13 26.0 FR France \n",
"14 35.0 FR France \n",
"15 45.0 FR France \n",
"16 74.0 FR France \n",
"17 77.0 FR France \n",
"18 75.0 FR France \n",
"19 61.0 FR France \n",
"20 49.0 FR France \n",
"21 37.0 FR France \n",
"22 36.0 FR France \n",
"23 46.0 FR France \n",
"24 34.0 FR France \n",
"25 20.0 FR France \n",
"26 20.0 FR France \n",
"27 14.0 FR France \n",
"28 13.0 FR France \n",
"29 13.0 FR France \n",
"... ... ... ... \n",
"1866 59.0 FR France \n",
"1867 64.0 FR France \n",
"1868 97.0 FR France \n",
"1869 93.0 FR France \n",
"1870 80.0 FR France \n",
"1871 116.0 FR France \n",
"1872 149.0 FR France \n",
"1873 281.0 FR France \n",
"1874 395.0 FR France \n",
"1875 485.0 FR France \n",
"1876 544.0 FR France \n",
"1877 689.0 FR France \n",
"1878 722.0 FR France \n",
"1879 762.0 FR France \n",
"1880 926.0 FR France \n",
"1881 1113.0 FR France \n",
"1882 1236.0 FR France \n",
"1883 832.0 FR France \n",
"1884 459.0 FR France \n",
"1885 207.0 FR France \n",
"1886 190.0 FR France \n",
"1887 198.0 FR France \n",
"1888 224.0 FR France \n",
"1889 266.0 FR France \n",
"1890 219.0 FR France \n",
"1891 176.0 FR France \n",
"1892 163.0 FR France \n",
"1893 195.0 FR France \n",
"1894 308.0 FR France \n",
"1895 213.0 FR France \n",
"\n",
"[1896 rows x 10 columns]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
...
...
@@ -76,6 +1043,1046 @@
"Y a-t-il des points manquants dans ce jeux de données ? Oui, la semaine 19 de l'année 1989 n'a pas de valeurs associées."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</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>0</td>\n",
" <td>202108</td>\n",
" <td>3</td>\n",
" <td>27492</td>\n",
" <td>22140.0</td>\n",
" <td>32844.0</td>\n",
" <td>42</td>\n",
" <td>34.0</td>\n",
" <td>50.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>202107</td>\n",
" <td>3</td>\n",
" <td>22191</td>\n",
" <td>18096.0</td>\n",
" <td>26286.0</td>\n",
" <td>34</td>\n",
" <td>28.0</td>\n",
" <td>40.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>202106</td>\n",
" <td>3</td>\n",
" <td>23171</td>\n",
" <td>19122.0</td>\n",
" <td>27220.0</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>3</th>\n",
" <td>3</td>\n",
" <td>202105</td>\n",
" <td>3</td>\n",
" <td>22426</td>\n",
" <td>18445.0</td>\n",
" <td>26407.0</td>\n",
" <td>34</td>\n",
" <td>28.0</td>\n",
" <td>40.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>202104</td>\n",
" <td>3</td>\n",
" <td>25804</td>\n",
" <td>21491.0</td>\n",
" <td>30117.0</td>\n",
" <td>39</td>\n",
" <td>32.0</td>\n",
" <td>46.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>5</td>\n",
" <td>202103</td>\n",
" <td>3</td>\n",
" <td>21810</td>\n",
" <td>17894.0</td>\n",
" <td>25726.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>6</td>\n",
" <td>202102</td>\n",
" <td>3</td>\n",
" <td>17320</td>\n",
" <td>13906.0</td>\n",
" <td>20734.0</td>\n",
" <td>26</td>\n",
" <td>21.0</td>\n",
" <td>31.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7</td>\n",
" <td>202101</td>\n",
" <td>3</td>\n",
" <td>21799</td>\n",
" <td>17778.0</td>\n",
" <td>25820.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>8</td>\n",
" <td>202053</td>\n",
" <td>3</td>\n",
" <td>21220</td>\n",
" <td>16498.0</td>\n",
" <td>25942.0</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>9</th>\n",
" <td>9</td>\n",
" <td>202052</td>\n",
" <td>3</td>\n",
" <td>16428</td>\n",
" <td>12285.0</td>\n",
" <td>20571.0</td>\n",
" <td>25</td>\n",
" <td>19.0</td>\n",
" <td>31.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>10</td>\n",
" <td>202051</td>\n",
" <td>3</td>\n",
" <td>21619</td>\n",
" <td>17370.0</td>\n",
" <td>25868.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>11</td>\n",
" <td>202050</td>\n",
" <td>3</td>\n",
" <td>16845</td>\n",
" <td>13220.0</td>\n",
" <td>20470.0</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>12</th>\n",
" <td>12</td>\n",
" <td>202049</td>\n",
" <td>3</td>\n",
" <td>12939</td>\n",
" <td>9923.0</td>\n",
" <td>15955.0</td>\n",
" <td>20</td>\n",
" <td>15.0</td>\n",
" <td>25.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>13</td>\n",
" <td>202048</td>\n",
" <td>3</td>\n",
" <td>13804</td>\n",
" <td>10641.0</td>\n",
" <td>16967.0</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>14</th>\n",
" <td>14</td>\n",
" <td>202047</td>\n",
" <td>3</td>\n",
" <td>19085</td>\n",
" <td>15285.0</td>\n",
" <td>22885.0</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>15</th>\n",
" <td>15</td>\n",
" <td>202046</td>\n",
" <td>3</td>\n",
" <td>24801</td>\n",
" <td>20503.0</td>\n",
" <td>29099.0</td>\n",
" <td>38</td>\n",
" <td>31.0</td>\n",
" <td>45.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>16</td>\n",
" <td>202045</td>\n",
" <td>3</td>\n",
" <td>42516</td>\n",
" <td>36857.0</td>\n",
" <td>48175.0</td>\n",
" <td>65</td>\n",
" <td>56.0</td>\n",
" <td>74.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>17</td>\n",
" <td>202044</td>\n",
" <td>3</td>\n",
" <td>44567</td>\n",
" <td>38521.0</td>\n",
" <td>50613.0</td>\n",
" <td>68</td>\n",
" <td>59.0</td>\n",
" <td>77.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>18</td>\n",
" <td>202043</td>\n",
" <td>3</td>\n",
" <td>43737</td>\n",
" <td>37523.0</td>\n",
" <td>49951.0</td>\n",
" <td>66</td>\n",
" <td>57.0</td>\n",
" <td>75.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>19</td>\n",
" <td>202042</td>\n",
" <td>3</td>\n",
" <td>35145</td>\n",
" <td>29812.0</td>\n",
" <td>40478.0</td>\n",
" <td>53</td>\n",
" <td>45.0</td>\n",
" <td>61.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>20</td>\n",
" <td>202041</td>\n",
" <td>3</td>\n",
" <td>27877</td>\n",
" <td>23206.0</td>\n",
" <td>32548.0</td>\n",
" <td>42</td>\n",
" <td>35.0</td>\n",
" <td>49.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>21</td>\n",
" <td>202040</td>\n",
" <td>3</td>\n",
" <td>20443</td>\n",
" <td>16381.0</td>\n",
" <td>24505.0</td>\n",
" <td>31</td>\n",
" <td>25.0</td>\n",
" <td>37.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>22</td>\n",
" <td>202039</td>\n",
" <td>3</td>\n",
" <td>19810</td>\n",
" <td>15900.0</td>\n",
" <td>23720.0</td>\n",
" <td>30</td>\n",
" <td>24.0</td>\n",
" <td>36.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>23</td>\n",
" <td>202038</td>\n",
" <td>3</td>\n",
" <td>25562</td>\n",
" <td>21142.0</td>\n",
" <td>29982.0</td>\n",
" <td>39</td>\n",
" <td>32.0</td>\n",
" <td>46.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>24</td>\n",
" <td>202037</td>\n",
" <td>3</td>\n",
" <td>18485</td>\n",
" <td>14649.0</td>\n",
" <td>22321.0</td>\n",
" <td>28</td>\n",
" <td>22.0</td>\n",
" <td>34.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>25</td>\n",
" <td>202036</td>\n",
" <td>3</td>\n",
" <td>10390</td>\n",
" <td>7646.0</td>\n",
" <td>13134.0</td>\n",
" <td>16</td>\n",
" <td>12.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>26</td>\n",
" <td>202035</td>\n",
" <td>3</td>\n",
" <td>9918</td>\n",
" <td>6842.0</td>\n",
" <td>12994.0</td>\n",
" <td>15</td>\n",
" <td>10.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>27</td>\n",
" <td>202034</td>\n",
" <td>3</td>\n",
" <td>6084</td>\n",
" <td>3090.0</td>\n",
" <td>9078.0</td>\n",
" <td>9</td>\n",
" <td>4.0</td>\n",
" <td>14.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>28</td>\n",
" <td>202033</td>\n",
" <td>3</td>\n",
" <td>6106</td>\n",
" <td>3411.0</td>\n",
" <td>8801.0</td>\n",
" <td>9</td>\n",
" <td>5.0</td>\n",
" <td>13.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>29</td>\n",
" <td>202032</td>\n",
" <td>3</td>\n",
" <td>5918</td>\n",
" <td>3330.0</td>\n",
" <td>8506.0</td>\n",
" <td>9</td>\n",
" <td>5.0</td>\n",
" <td>13.0</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",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1866</th>\n",
" <td>1866</td>\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>1867</th>\n",
" <td>1867</td>\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>1868</th>\n",
" <td>1868</td>\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>1869</th>\n",
" <td>1869</td>\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>1870</th>\n",
" <td>1870</td>\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>1871</th>\n",
" <td>1871</td>\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>1872</th>\n",
" <td>1872</td>\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>1873</th>\n",
" <td>1873</td>\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>1874</th>\n",
" <td>1874</td>\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>1875</th>\n",
" <td>1875</td>\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>1876</th>\n",
" <td>1876</td>\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>1877</th>\n",
" <td>1877</td>\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>1878</th>\n",
" <td>1878</td>\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>1879</th>\n",
" <td>1879</td>\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>1880</th>\n",
" <td>1880</td>\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>1881</th>\n",
" <td>1881</td>\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>1882</th>\n",
" <td>1882</td>\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>1883</th>\n",
" <td>1883</td>\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>1884</th>\n",
" <td>1884</td>\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>1885</th>\n",
" <td>1885</td>\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>1886</th>\n",
" <td>1886</td>\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>1887</th>\n",
" <td>1887</td>\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>1888</th>\n",
" <td>1888</td>\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>1889</th>\n",
" <td>1889</td>\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>1890</th>\n",
" <td>1890</td>\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>1891</th>\n",
" <td>1891</td>\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>1892</th>\n",
" <td>1892</td>\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>1893</th>\n",
" <td>1893</td>\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>1894</th>\n",
" <td>1894</td>\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>1895</th>\n",
" <td>1895</td>\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>1896 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 week indicator inc inc_low inc_up inc100 \\\n",
"0 0 202108 3 27492 22140.0 32844.0 42 \n",
"1 1 202107 3 22191 18096.0 26286.0 34 \n",
"2 2 202106 3 23171 19122.0 27220.0 35 \n",
"3 3 202105 3 22426 18445.0 26407.0 34 \n",
"4 4 202104 3 25804 21491.0 30117.0 39 \n",
"5 5 202103 3 21810 17894.0 25726.0 33 \n",
"6 6 202102 3 17320 13906.0 20734.0 26 \n",
"7 7 202101 3 21799 17778.0 25820.0 33 \n",
"8 8 202053 3 21220 16498.0 25942.0 32 \n",
"9 9 202052 3 16428 12285.0 20571.0 25 \n",
"10 10 202051 3 21619 17370.0 25868.0 33 \n",
"11 11 202050 3 16845 13220.0 20470.0 26 \n",
"12 12 202049 3 12939 9923.0 15955.0 20 \n",
"13 13 202048 3 13804 10641.0 16967.0 21 \n",
"14 14 202047 3 19085 15285.0 22885.0 29 \n",
"15 15 202046 3 24801 20503.0 29099.0 38 \n",
"16 16 202045 3 42516 36857.0 48175.0 65 \n",
"17 17 202044 3 44567 38521.0 50613.0 68 \n",
"18 18 202043 3 43737 37523.0 49951.0 66 \n",
"19 19 202042 3 35145 29812.0 40478.0 53 \n",
"20 20 202041 3 27877 23206.0 32548.0 42 \n",
"21 21 202040 3 20443 16381.0 24505.0 31 \n",
"22 22 202039 3 19810 15900.0 23720.0 30 \n",
"23 23 202038 3 25562 21142.0 29982.0 39 \n",
"24 24 202037 3 18485 14649.0 22321.0 28 \n",
"25 25 202036 3 10390 7646.0 13134.0 16 \n",
"26 26 202035 3 9918 6842.0 12994.0 15 \n",
"27 27 202034 3 6084 3090.0 9078.0 9 \n",
"28 28 202033 3 6106 3411.0 8801.0 9 \n",
"29 29 202032 3 5918 3330.0 8506.0 9 \n",
"... ... ... ... ... ... ... ... \n",
"1866 1866 198521 3 26096 19621.0 32571.0 47 \n",
"1867 1867 198520 3 27896 20885.0 34907.0 51 \n",
"1868 1868 198519 3 43154 32821.0 53487.0 78 \n",
"1869 1869 198518 3 40555 29935.0 51175.0 74 \n",
"1870 1870 198517 3 34053 24366.0 43740.0 62 \n",
"1871 1871 198516 3 50362 36451.0 64273.0 91 \n",
"1872 1872 198515 3 63881 45538.0 82224.0 116 \n",
"1873 1873 198514 3 134545 114400.0 154690.0 244 \n",
"1874 1874 198513 3 197206 176080.0 218332.0 357 \n",
"1875 1875 198512 3 245240 223304.0 267176.0 445 \n",
"1876 1876 198511 3 276205 252399.0 300011.0 501 \n",
"1877 1877 198510 3 353231 326279.0 380183.0 640 \n",
"1878 1878 198509 3 369895 341109.0 398681.0 670 \n",
"1879 1879 198508 3 389886 359529.0 420243.0 707 \n",
"1880 1880 198507 3 471852 432599.0 511105.0 855 \n",
"1881 1881 198506 3 565825 518011.0 613639.0 1026 \n",
"1882 1882 198505 3 637302 592795.0 681809.0 1155 \n",
"1883 1883 198504 3 424937 390794.0 459080.0 770 \n",
"1884 1884 198503 3 213901 174689.0 253113.0 388 \n",
"1885 1885 198502 3 97586 80949.0 114223.0 177 \n",
"1886 1886 198501 3 85489 65918.0 105060.0 155 \n",
"1887 1887 198452 3 84830 60602.0 109058.0 154 \n",
"1888 1888 198451 3 101726 80242.0 123210.0 185 \n",
"1889 1889 198450 3 123680 101401.0 145959.0 225 \n",
"1890 1890 198449 3 101073 81684.0 120462.0 184 \n",
"1891 1891 198448 3 78620 60634.0 96606.0 143 \n",
"1892 1892 198447 3 72029 54274.0 89784.0 131 \n",
"1893 1893 198446 3 87330 67686.0 106974.0 159 \n",
"1894 1894 198445 3 135223 101414.0 169032.0 246 \n",
"1895 1895 198444 3 68422 20056.0 116788.0 125 \n",
"\n",
" inc100_low inc100_up geo_insee geo_name \n",
"0 34.0 50.0 FR France \n",
"1 28.0 40.0 FR France \n",
"2 29.0 41.0 FR France \n",
"3 28.0 40.0 FR France \n",
"4 32.0 46.0 FR France \n",
"5 27.0 39.0 FR France \n",
"6 21.0 31.0 FR France \n",
"7 27.0 39.0 FR France \n",
"8 25.0 39.0 FR France \n",
"9 19.0 31.0 FR France \n",
"10 27.0 39.0 FR France \n",
"11 20.0 32.0 FR France \n",
"12 15.0 25.0 FR France \n",
"13 16.0 26.0 FR France \n",
"14 23.0 35.0 FR France \n",
"15 31.0 45.0 FR France \n",
"16 56.0 74.0 FR France \n",
"17 59.0 77.0 FR France \n",
"18 57.0 75.0 FR France \n",
"19 45.0 61.0 FR France \n",
"20 35.0 49.0 FR France \n",
"21 25.0 37.0 FR France \n",
"22 24.0 36.0 FR France \n",
"23 32.0 46.0 FR France \n",
"24 22.0 34.0 FR France \n",
"25 12.0 20.0 FR France \n",
"26 10.0 20.0 FR France \n",
"27 4.0 14.0 FR France \n",
"28 5.0 13.0 FR France \n",
"29 5.0 13.0 FR France \n",
"... ... ... ... ... \n",
"1866 35.0 59.0 FR France \n",
"1867 38.0 64.0 FR France \n",
"1868 59.0 97.0 FR France \n",
"1869 55.0 93.0 FR France \n",
"1870 44.0 80.0 FR France \n",
"1871 66.0 116.0 FR France \n",
"1872 83.0 149.0 FR France \n",
"1873 207.0 281.0 FR France \n",
"1874 319.0 395.0 FR France \n",
"1875 405.0 485.0 FR France \n",
"1876 458.0 544.0 FR France \n",
"1877 591.0 689.0 FR France \n",
"1878 618.0 722.0 FR France \n",
"1879 652.0 762.0 FR France \n",
"1880 784.0 926.0 FR France \n",
"1881 939.0 1113.0 FR France \n",
"1882 1074.0 1236.0 FR France \n",
"1883 708.0 832.0 FR France \n",
"1884 317.0 459.0 FR France \n",
"1885 147.0 207.0 FR France \n",
"1886 120.0 190.0 FR France \n",
"1887 110.0 198.0 FR France \n",
"1888 146.0 224.0 FR France \n",
"1889 184.0 266.0 FR France \n",
"1890 149.0 219.0 FR France \n",
"1891 110.0 176.0 FR France \n",
"1892 99.0 163.0 FR France \n",
"1893 123.0 195.0 FR France \n",
"1894 184.0 308.0 FR France \n",
"1895 37.0 213.0 FR France \n",
"\n",
"[1896 rows x 11 columns]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data.to_csv('datatelecharge.csv',)\n",
"raw_data2 =pd.read_csv('datatelecharge.csv')\n",
"raw_data2"
]
},
{
"cell_type": "code",
"execution_count": null,
...
...
@@ -364,7 +2371,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.
1
"
"version": "3.6.
4
"
}
},
"nbformat": 4,
...
...
module3/exo1/datatelecharge.csv
0 → 100644
View file @
9d9dc155
This source diff could not be displayed because it is too large. You can
view the blob
instead.
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment
