diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..6de034f1da73ad1bd92c5ac5443bc16138e3b3ea 100644 --- a/module3/exo2/exercice.ipynb +++ b/module3/exo2/exercice.ipynb @@ -1,5 +1,4272 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek\n", + "import os\n", + "import requests" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\" # URL du fichier distant" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "# chemin du fichier local\n", + "local_file_path = \"local_data_varicelle.csv\"\n", + "\n", + "# Vérif si le fichier local existe\n", + "if not os.path.exists(local_file_path):\n", + " # Si le fichier local n'existe pas,on télécharge les données\n", + " response = requests.get(data_url)\n", + " with open(local_file_path, 'wb') as local_file:\n", + " local_file.write(response.content)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1721 rows × 10 columns

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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202347768694277946110614FRFrance
120234675300301775838511FRFrance
220234575007267573398412FRFrance
32023447368816645712639FRFrance
42023437389116756107639FRFrance
520234273968121267246210FRFrance
62023417335617644948537FRFrance
72023407284514104280426FRFrance
8202339717396292849315FRFrance
9202338716632743052315FRFrance
10202337711222232021213FRFrance
112023367726101442102FRFrance
122023357961961826102FRFrance
132023347116892327204FRFrance
142023337330811845432528FRFrance
152023327799611201487212222FRFrance
162023317331813985238528FRFrance
1720233075821326983739513FRFrance
18202329713558829718819201228FRFrance
19202328767004043935710614FRFrance
20202327772534599990711715FRFrance
2120232679192622312161141018FRFrance
22202325711498825714739171222FRFrance
23202324711115796814262171222FRFrance
2420232371256361341899219929FRFrance
25202322712184812516243181224FRFrance
26202321711349759815100171123FRFrance
272023207900046151338514721FRFrance
282023197934460911259714919FRFrance
29202318710671729114051161121FRFrance
.................................
16911991267176081130423912312042FRFrance
16921991257161691070021638281838FRFrance
16931991247161711007122271281739FRFrance
1694199123711947767116223211329FRFrance
1695199122715452995320951271737FRFrance
1696199121714903897520831261636FRFrance
16971991207190531274225364342345FRFrance
16981991197167391124622232291939FRFrance
16991991187213851388228888382551FRFrance
1700199117713462887718047241632FRFrance
17011991167148571006819646261834FRFrance
1702199115713975978118169251832FRFrance
1703199114712265768416846221430FRFrance
170419911379567604113093171123FRFrance
1705199112710864733114397191325FRFrance
17061991117155741118419964271935FRFrance
17071991107166431137221914292038FRFrance
1708199109713741878018702241533FRFrance
1709199108713289881317765231531FRFrance
1710199107712337807716597221529FRFrance
1711199106710877701314741191226FRFrance
1712199105710442654414340181125FRFrance
17131991047791345631126314820FRFrance
17141991037153871048420290271836FRFrance
17151991027162771104621508292038FRFrance
17161991017155651027120859271836FRFrance
17171990527193751329525455342345FRFrance
17181990517190801380724353342543FRFrance
1719199050711079666015498201228FRFrance
17201990497114302610205FRFrance
\n", + "

1721 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202347 7 6869 4277 9461 10 6 \n", + "1 202346 7 5300 3017 7583 8 5 \n", + "2 202345 7 5007 2675 7339 8 4 \n", + "3 202344 7 3688 1664 5712 6 3 \n", + "4 202343 7 3891 1675 6107 6 3 \n", + "5 202342 7 3968 1212 6724 6 2 \n", + "6 202341 7 3356 1764 4948 5 3 \n", + "7 202340 7 2845 1410 4280 4 2 \n", + "8 202339 7 1739 629 2849 3 1 \n", + "9 202338 7 1663 274 3052 3 1 \n", + "10 202337 7 1122 223 2021 2 1 \n", + "11 202336 7 726 10 1442 1 0 \n", + "12 202335 7 961 96 1826 1 0 \n", + "13 202334 7 1168 9 2327 2 0 \n", + "14 202333 7 3308 1184 5432 5 2 \n", + "15 202332 7 7996 1120 14872 12 2 \n", + "16 202331 7 3318 1398 5238 5 2 \n", + "17 202330 7 5821 3269 8373 9 5 \n", + "18 202329 7 13558 8297 18819 20 12 \n", + "19 202328 7 6700 4043 9357 10 6 \n", + "20 202327 7 7253 4599 9907 11 7 \n", + "21 202326 7 9192 6223 12161 14 10 \n", + "22 202325 7 11498 8257 14739 17 12 \n", + "23 202324 7 11115 7968 14262 17 12 \n", + "24 202323 7 12563 6134 18992 19 9 \n", + "25 202322 7 12184 8125 16243 18 12 \n", + "26 202321 7 11349 7598 15100 17 11 \n", + "27 202320 7 9000 4615 13385 14 7 \n", + "28 202319 7 9344 6091 12597 14 9 \n", + "29 202318 7 10671 7291 14051 16 11 \n", + "... ... ... ... ... ... ... ... \n", + "1691 199126 7 17608 11304 23912 31 20 \n", + "1692 199125 7 16169 10700 21638 28 18 \n", + "1693 199124 7 16171 10071 22271 28 17 \n", + "1694 199123 7 11947 7671 16223 21 13 \n", + "1695 199122 7 15452 9953 20951 27 17 \n", + "1696 199121 7 14903 8975 20831 26 16 \n", + "1697 199120 7 19053 12742 25364 34 23 \n", + "1698 199119 7 16739 11246 22232 29 19 \n", + "1699 199118 7 21385 13882 28888 38 25 \n", + "1700 199117 7 13462 8877 18047 24 16 \n", + "1701 199116 7 14857 10068 19646 26 18 \n", + "1702 199115 7 13975 9781 18169 25 18 \n", + "1703 199114 7 12265 7684 16846 22 14 \n", + "1704 199113 7 9567 6041 13093 17 11 \n", + "1705 199112 7 10864 7331 14397 19 13 \n", + "1706 199111 7 15574 11184 19964 27 19 \n", + "1707 199110 7 16643 11372 21914 29 20 \n", + "1708 199109 7 13741 8780 18702 24 15 \n", + "1709 199108 7 13289 8813 17765 23 15 \n", + "1710 199107 7 12337 8077 16597 22 15 \n", + "1711 199106 7 10877 7013 14741 19 12 \n", + "1712 199105 7 10442 6544 14340 18 11 \n", + "1713 199104 7 7913 4563 11263 14 8 \n", + "1714 199103 7 15387 10484 20290 27 18 \n", + "1715 199102 7 16277 11046 21508 29 20 \n", + "1716 199101 7 15565 10271 20859 27 18 \n", + "1717 199052 7 19375 13295 25455 34 23 \n", + "1718 199051 7 19080 13807 24353 34 25 \n", + "1719 199050 7 11079 6660 15498 20 12 \n", + "1720 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 14 FR France \n", + "1 11 FR France \n", + "2 12 FR France \n", + "3 9 FR France \n", + "4 9 FR France \n", + "5 10 FR France \n", + "6 7 FR France \n", + "7 6 FR France \n", + "8 5 FR France \n", + "9 5 FR France \n", + "10 3 FR France \n", + "11 2 FR France \n", + "12 2 FR France \n", + "13 4 FR France \n", + "14 8 FR France \n", + "15 22 FR France \n", + "16 8 FR France \n", + "17 13 FR France \n", + "18 28 FR France \n", + "19 14 FR France \n", + "20 15 FR France \n", + "21 18 FR France \n", + "22 22 FR France \n", + "23 22 FR France \n", + "24 29 FR France \n", + "25 24 FR France \n", + "26 23 FR France \n", + "27 21 FR France \n", + "28 19 FR France \n", + "29 21 FR France \n", + "... ... ... ... \n", + "1691 42 FR France \n", + "1692 38 FR France \n", + "1693 39 FR France \n", + "1694 29 FR France \n", + "1695 37 FR France \n", + "1696 36 FR France \n", + "1697 45 FR France \n", + "1698 39 FR France \n", + "1699 51 FR France \n", + "1700 32 FR France \n", + "1701 34 FR France \n", + "1702 32 FR France \n", + "1703 30 FR France \n", + "1704 23 FR France \n", + "1705 25 FR France \n", + "1706 35 FR France \n", + "1707 38 FR France \n", + "1708 33 FR France \n", + "1709 31 FR France \n", + "1710 29 FR France \n", + "1711 26 FR France \n", + "1712 25 FR France \n", + "1713 20 FR France \n", + "1714 36 FR France \n", + "1715 38 FR France \n", + "1716 36 FR France \n", + "1717 45 FR France \n", + "1718 43 FR France \n", + "1719 28 FR France \n", + "1720 5 FR France \n", + "\n", + "[1721 rows x 10 columns]" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = raw_data.dropna().copy()\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "def convert_week(year_and_week_int):\n", + " year_and_week_str = str(year_and_week_int)\n", + " year = int(year_and_week_str[:4])\n", + " week = int(year_and_week_str[4:])\n", + " w = isoweek.Week(year, week)\n", + " return pd.Period(w.day(0), 'W')\n", + "\n", + "data['period'] = [convert_week(yw) for yw in data['week']]" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "periods = sorted_data.index\n", + "for p1, p2 in zip(periods[:-1], periods[1:]):\n", + " delta = p2.to_timestamp() - p1.end_time\n", + " if delta > pd.Timedelta('1s'):\n", + " print(p1, p2)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'] = pd.to_numeric(sorted_data['inc'], errors='raise')\n", + "sorted_data['inc'].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'][-200:].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", + " for y in range(1991,\n", + " sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1991-08-26/1991-09-01 1992-08-31/1992-09-06\n", + "period\n", + "1990-12-03/1990-12-09 1143\n", + "1990-12-10/1990-12-16 11079\n", + "1990-12-17/1990-12-23 19080\n", + "1990-12-24/1990-12-30 19375\n", + "1990-12-31/1991-01-06 15565\n", + "1991-01-07/1991-01-13 16277\n", + "1991-01-14/1991-01-20 15387\n", + "1991-01-21/1991-01-27 7913\n", + "1991-01-28/1991-02-03 10442\n", + "1991-02-04/1991-02-10 10877\n", + "1991-02-11/1991-02-17 12337\n", + "1991-02-18/1991-02-24 13289\n", + "1991-02-25/1991-03-03 13741\n", + "1991-03-04/1991-03-10 16643\n", + "1991-03-11/1991-03-17 15574\n", + "1991-03-18/1991-03-24 10864\n", + "1991-03-25/1991-03-31 9567\n", + "1991-04-01/1991-04-07 12265\n", + "1991-04-08/1991-04-14 13975\n", + "1991-04-15/1991-04-21 14857\n", + "1991-04-22/1991-04-28 13462\n", + "1991-04-29/1991-05-05 21385\n", + "1991-05-06/1991-05-12 16739\n", + "1991-05-13/1991-05-19 19053\n", + "1991-05-20/1991-05-26 14903\n", + "1991-05-27/1991-06-02 15452\n", + "1991-06-03/1991-06-09 11947\n", + "1991-06-10/1991-06-16 16171\n", + "1991-06-17/1991-06-23 16169\n", + "1991-06-24/1991-06-30 17608\n", + " ... \n", + "2023-05-01/2023-05-07 10671\n", + "2023-05-08/2023-05-14 9344\n", + "2023-05-15/2023-05-21 9000\n", + "2023-05-22/2023-05-28 11349\n", + "2023-05-29/2023-06-04 12184\n", + "2023-06-05/2023-06-11 12563\n", + "2023-06-12/2023-06-18 11115\n", + "2023-06-19/2023-06-25 11498\n", + "2023-06-26/2023-07-02 9192\n", + "2023-07-03/2023-07-09 7253\n", + "2023-07-10/2023-07-16 6700\n", + "2023-07-17/2023-07-23 13558\n", + "2023-07-24/2023-07-30 5821\n", + "2023-07-31/2023-08-06 3318\n", + "2023-08-07/2023-08-13 7996\n", + "2023-08-14/2023-08-20 3308\n", + "2023-08-21/2023-08-27 1168\n", + "2023-08-28/2023-09-03 961\n", + "2023-09-04/2023-09-10 726\n", + "2023-09-11/2023-09-17 1122\n", + "2023-09-18/2023-09-24 1663\n", + "2023-09-25/2023-10-01 1739\n", + "2023-10-02/2023-10-08 2845\n", + "2023-10-09/2023-10-15 3356\n", + "2023-10-16/2023-10-22 3968\n", + "2023-10-23/2023-10-29 3891\n", + "2023-10-30/2023-11-05 3688\n", + "2023-11-06/2023-11-12 5007\n", + "2023-11-13/2023-11-19 5300\n", + "2023-11-20/2023-11-26 6869\n", + "Freq: W-SUN, Name: inc, Length: 1721, dtype: int64\n", + "1992-08-31/1992-09-06 1993-08-30/1993-09-05\n", + "period\n", + "1990-12-03/1990-12-09 1143\n", + "1990-12-10/1990-12-16 11079\n", + "1990-12-17/1990-12-23 19080\n", + "1990-12-24/1990-12-30 19375\n", + "1990-12-31/1991-01-06 15565\n", + "1991-01-07/1991-01-13 16277\n", + "1991-01-14/1991-01-20 15387\n", + "1991-01-21/1991-01-27 7913\n", + "1991-01-28/1991-02-03 10442\n", + "1991-02-04/1991-02-10 10877\n", + "1991-02-11/1991-02-17 12337\n", + "1991-02-18/1991-02-24 13289\n", + "1991-02-25/1991-03-03 13741\n", + "1991-03-04/1991-03-10 16643\n", + "1991-03-11/1991-03-17 15574\n", + "1991-03-18/1991-03-24 10864\n", + "1991-03-25/1991-03-31 9567\n", + "1991-04-01/1991-04-07 12265\n", + "1991-04-08/1991-04-14 13975\n", + "1991-04-15/1991-04-21 14857\n", + "1991-04-22/1991-04-28 13462\n", + "1991-04-29/1991-05-05 21385\n", + "1991-05-06/1991-05-12 16739\n", + "1991-05-13/1991-05-19 19053\n", + "1991-05-20/1991-05-26 14903\n", + "1991-05-27/1991-06-02 15452\n", + "1991-06-03/1991-06-09 11947\n", + "1991-06-10/1991-06-16 16171\n", + "1991-06-17/1991-06-23 16169\n", + "1991-06-24/1991-06-30 17608\n", + " ... \n", + "2023-05-01/2023-05-07 10671\n", + "2023-05-08/2023-05-14 9344\n", + "2023-05-15/2023-05-21 9000\n", + 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11947\n", + "1991-06-10/1991-06-16 16171\n", + "1991-06-17/1991-06-23 16169\n", + "1991-06-24/1991-06-30 17608\n", + " ... \n", + "2023-05-01/2023-05-07 10671\n", + "2023-05-08/2023-05-14 9344\n", + "2023-05-15/2023-05-21 9000\n", + "2023-05-22/2023-05-28 11349\n", + "2023-05-29/2023-06-04 12184\n", + "2023-06-05/2023-06-11 12563\n", + "2023-06-12/2023-06-18 11115\n", + "2023-06-19/2023-06-25 11498\n", + "2023-06-26/2023-07-02 9192\n", + "2023-07-03/2023-07-09 7253\n", + "2023-07-10/2023-07-16 6700\n", + "2023-07-17/2023-07-23 13558\n", + "2023-07-24/2023-07-30 5821\n", + "2023-07-31/2023-08-06 3318\n", + "2023-08-07/2023-08-13 7996\n", + "2023-08-14/2023-08-20 3308\n", + "2023-08-21/2023-08-27 1168\n", + "2023-08-28/2023-09-03 961\n", + "2023-09-04/2023-09-10 726\n", + "2023-09-11/2023-09-17 1122\n", + "2023-09-18/2023-09-24 1663\n", + "2023-09-25/2023-10-01 1739\n", + "2023-10-02/2023-10-08 2845\n", + "2023-10-09/2023-10-15 3356\n", + "2023-10-16/2023-10-22 3968\n", + 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3968\n", + "2023-10-23/2023-10-29 3891\n", + "2023-10-30/2023-11-05 3688\n", + "2023-11-06/2023-11-12 5007\n", + "2023-11-13/2023-11-19 5300\n", + "2023-11-20/2023-11-26 6869\n", + "Freq: W-SUN, Name: inc, Length: 1721, dtype: int64\n", + "2021-08-30/2021-09-05 2022-08-29/2022-09-04\n", + "period\n", + "1990-12-03/1990-12-09 1143\n", + "1990-12-10/1990-12-16 11079\n", + "1990-12-17/1990-12-23 19080\n", + "1990-12-24/1990-12-30 19375\n", + "1990-12-31/1991-01-06 15565\n", + "1991-01-07/1991-01-13 16277\n", + "1991-01-14/1991-01-20 15387\n", + "1991-01-21/1991-01-27 7913\n", + "1991-01-28/1991-02-03 10442\n", + "1991-02-04/1991-02-10 10877\n", + "1991-02-11/1991-02-17 12337\n", + "1991-02-18/1991-02-24 13289\n", + "1991-02-25/1991-03-03 13741\n", + "1991-03-04/1991-03-10 16643\n", + "1991-03-11/1991-03-17 15574\n", + "1991-03-18/1991-03-24 10864\n", + "1991-03-25/1991-03-31 9567\n", + "1991-04-01/1991-04-07 12265\n", + "1991-04-08/1991-04-14 13975\n", + "1991-04-15/1991-04-21 14857\n", + "1991-04-22/1991-04-28 13462\n", + "1991-04-29/1991-05-05 21385\n", + "1991-05-06/1991-05-12 16739\n", + "1991-05-13/1991-05-19 19053\n", + "1991-05-20/1991-05-26 14903\n", + "1991-05-27/1991-06-02 15452\n", + "1991-06-03/1991-06-09 11947\n", + "1991-06-10/1991-06-16 16171\n", + "1991-06-17/1991-06-23 16169\n", + "1991-06-24/1991-06-30 17608\n", + " ... \n", + "2023-05-01/2023-05-07 10671\n", + "2023-05-08/2023-05-14 9344\n", + "2023-05-15/2023-05-21 9000\n", + "2023-05-22/2023-05-28 11349\n", + "2023-05-29/2023-06-04 12184\n", + "2023-06-05/2023-06-11 12563\n", + "2023-06-12/2023-06-18 11115\n", + "2023-06-19/2023-06-25 11498\n", + "2023-06-26/2023-07-02 9192\n", + "2023-07-03/2023-07-09 7253\n", + "2023-07-10/2023-07-16 6700\n", + "2023-07-17/2023-07-23 13558\n", + "2023-07-24/2023-07-30 5821\n", + "2023-07-31/2023-08-06 3318\n", + "2023-08-07/2023-08-13 7996\n", + "2023-08-14/2023-08-20 3308\n", + "2023-08-21/2023-08-27 1168\n", + "2023-08-28/2023-09-03 961\n", + "2023-09-04/2023-09-10 726\n", + "2023-09-11/2023-09-17 1122\n", + "2023-09-18/2023-09-24 1663\n", + "2023-09-25/2023-10-01 1739\n", + "2023-10-02/2023-10-08 2845\n", + "2023-10-09/2023-10-15 3356\n", + "2023-10-16/2023-10-22 3968\n", + "2023-10-23/2023-10-29 3891\n", + "2023-10-30/2023-11-05 3688\n", + "2023-11-06/2023-11-12 5007\n", + "2023-11-13/2023-11-19 5300\n", + "2023-11-20/2023-11-26 6869\n", + "Freq: W-SUN, Name: inc, Length: 1721, dtype: int64\n" + ] + } + ], + "source": [ + "year = []\n", + "yearly_incidence = []\n", + "for week1, week2 in zip(first_september_week[:-1],\n", + " first_september_week[1:]):\n", + " one_year = sorted_data['inc'][week1:week2-1]\n", + " print(week1,week2)\n", + " print(sorted_data['inc'])\n", + " assert abs(len(one_year)-52) < 2\n", + " yearly_incidence.append(one_year.sum())\n", + " year.append(week2.year)\n", + "yearly_incidence = pd.Series(data=yearly_incidence, index=year)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
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"yearly_incidence.sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +4283,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - diff --git a/module3/exo2/local_data.csv b/module3/exo2/local_data.csv new file mode 100644 index 0000000000000000000000000000000000000000..3918f756c3778808c4655cc428e6dd359fc612b5 --- /dev/null +++ b/module3/exo2/local_data.csv @@ -0,0 +1,2041 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, https://www.sentiweb.fr", @meta={"period":[198444,202347],"geo":["PAY",1],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false,"age_group":false}, @date=2023-11-29T16:32:25+01:00, bundle=1701271945 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