diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 4933e016e5d0241312815f3bee24f6b3e7bfad67..4172f4c9e20e99a74ec1d58d31a6ae8bc971edbd 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -23,20 +23,33 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente." + "Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente.\n", + "Pour nous protéger contre une éventuelle disparition ou modification du serveur du Réseau Sentinelles, nous faisons une copie locale de ce jeux de données que nous préservons avec notre analyse. Il est inutile et même risqué de télécharger les données à chaque exécution, car dans le cas d'une panne nous pourrions remplacer nos données par un fichier défectueux. Pour cette raison, nous téléchargeons les données seulement si la copie locale n'existe pas." ] }, { "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\"" ] }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "data_file = \"syndrome-grippal.csv\"\n", + "\n", + "import os\n", + "import urllib.request\n", + "if not os.path.exists(data_file):\n", + " urllib.request.urlretrieve(data_url, data_file)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -61,11 +74,978 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020205132675221354.032150.04133.049.0FRFrance
120205031680813160.020456.02620.032.0FRFrance
22020493129399923.015955.02015.025.0FRFrance
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620204534251636857.048175.06556.074.0FRFrance
720204434456738521.050613.06859.077.0FRFrance
820204334373737523.049951.06657.075.0FRFrance
920204233514529812.040478.05345.061.0FRFrance
1020204132787723206.032548.04235.049.0FRFrance
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18202033361063411.08801.095.013.0FRFrance
19202032359183330.08506.095.013.0FRFrance
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21202030381795442.010916.0128.016.0FRFrance
22202029386875860.011514.0139.017.0FRFrance
23202028383405701.010979.0139.017.0FRFrance
24202027340662406.05726.063.09.0FRFrance
25202026340392389.05689.063.09.0FRFrance
26202025328531488.04218.042.06.0FRFrance
27202024330581690.04426.053.07.0FRFrance
28202023341682468.05868.063.09.0FRFrance
29202022335801947.05213.053.07.0FRFrance
.................................
185619852132609619621.032571.04735.059.0FRFrance
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1886 rows × 10 columns

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"metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "raw_data = pd.read_csv(data_file, skiprows=1)\n", "raw_data" ] }, @@ -78,9 +1058,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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1885 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202051 3 26752 21354.0 32150.0 41 33.0 \n", + "1 202050 3 16808 13160.0 20456.0 26 20.0 \n", + "2 202049 3 12939 9923.0 15955.0 20 15.0 \n", + "3 202048 3 13804 10641.0 16967.0 21 16.0 \n", + "4 202047 3 19085 15285.0 22885.0 29 23.0 \n", + "5 202046 3 24801 20503.0 29099.0 38 31.0 \n", + "6 202045 3 42516 36857.0 48175.0 65 56.0 \n", + "7 202044 3 44567 38521.0 50613.0 68 59.0 \n", + "8 202043 3 43737 37523.0 49951.0 66 57.0 \n", + "9 202042 3 35145 29812.0 40478.0 53 45.0 \n", + "10 202041 3 27877 23206.0 32548.0 42 35.0 \n", + "11 202040 3 20443 16381.0 24505.0 31 25.0 \n", + "12 202039 3 19810 15900.0 23720.0 30 24.0 \n", + "13 202038 3 25562 21142.0 29982.0 39 32.0 \n", + "14 202037 3 18485 14649.0 22321.0 28 22.0 \n", + "15 202036 3 10390 7646.0 13134.0 16 12.0 \n", + "16 202035 3 9918 6842.0 12994.0 15 10.0 \n", + "17 202034 3 6084 3090.0 9078.0 9 4.0 \n", + "18 202033 3 6106 3411.0 8801.0 9 5.0 \n", + "19 202032 3 5918 3330.0 8506.0 9 5.0 \n", + "20 202031 3 4351 2269.0 6433.0 7 4.0 \n", + "21 202030 3 8179 5442.0 10916.0 12 8.0 \n", + "22 202029 3 8687 5860.0 11514.0 13 9.0 \n", + "23 202028 3 8340 5701.0 10979.0 13 9.0 \n", + "24 202027 3 4066 2406.0 5726.0 6 3.0 \n", + "25 202026 3 4039 2389.0 5689.0 6 3.0 \n", + "26 202025 3 2853 1488.0 4218.0 4 2.0 \n", + "27 202024 3 3058 1690.0 4426.0 5 3.0 \n", + "28 202023 3 4168 2468.0 5868.0 6 3.0 \n", + "29 202022 3 3580 1947.0 5213.0 5 3.0 \n", + "... ... ... ... ... ... ... ... \n", + "1856 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1857 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1858 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1859 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1860 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1861 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1862 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1863 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1864 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1865 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1866 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1867 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1868 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1869 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1870 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1871 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1872 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1873 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1874 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1875 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1876 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1877 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1878 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1879 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1880 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1881 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1882 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1883 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1884 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1885 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 49.0 FR France \n", + "1 32.0 FR France \n", + "2 25.0 FR France \n", + "3 26.0 FR France \n", + "4 35.0 FR France \n", + "5 45.0 FR France \n", + "6 74.0 FR France \n", + "7 77.0 FR France \n", + "8 75.0 FR France \n", + "9 61.0 FR France \n", + "10 49.0 FR France \n", + "11 37.0 FR France \n", + "12 36.0 FR France \n", + "13 46.0 FR France \n", + "14 34.0 FR France \n", + "15 20.0 FR France \n", + "16 20.0 FR France \n", + "17 14.0 FR France \n", + "18 13.0 FR France \n", + "19 13.0 FR France \n", + "20 10.0 FR France \n", + "21 16.0 FR France \n", + "22 17.0 FR France \n", + "23 17.0 FR France \n", + "24 9.0 FR France \n", + "25 9.0 FR France \n", + "26 6.0 FR France \n", + "27 7.0 FR France \n", + "28 9.0 FR France \n", + "29 7.0 FR France \n", + "... ... ... ... \n", + "1856 59.0 FR France \n", + "1857 64.0 FR France \n", + "1858 97.0 FR France \n", + "1859 93.0 FR France \n", + "1860 80.0 FR France \n", + "1861 116.0 FR France \n", + "1862 149.0 FR France \n", + "1863 281.0 FR France \n", + "1864 395.0 FR France \n", + "1865 485.0 FR France \n", + "1866 544.0 FR France \n", + "1867 689.0 FR France \n", + "1868 722.0 FR France \n", + "1869 762.0 FR France \n", + "1870 926.0 FR France \n", + "1871 1113.0 FR France \n", + "1872 1236.0 FR France \n", + "1873 832.0 FR France \n", + "1874 459.0 FR France \n", + "1875 207.0 FR France \n", + "1876 190.0 FR France \n", + "1877 198.0 FR France \n", + "1878 224.0 FR France \n", + "1879 266.0 FR France \n", + "1880 219.0 FR France \n", + "1881 176.0 FR France \n", + "1882 163.0 FR France \n", + "1883 195.0 FR France \n", + "1884 308.0 FR France \n", + "1885 213.0 FR France \n", + "\n", + "[1885 rows x 10 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2133,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2163,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 8, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,9 +2188,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n" + ] + } + ], "source": [ "periods = sorted_data.index\n", "for p1, p2 in zip(periods[:-1], periods[1:]):\n", @@ -199,9 +2216,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'][-200:].plot()" ] @@ -252,10 +2315,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 12, + "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", @@ -274,7 +2335,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -298,9 +2359,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.plot(style='*')" ] @@ -314,9 +2398,54 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2014 1600941\n", + "1991 1659249\n", + "1995 1840410\n", + "2012 2175217\n", + "2003 2234584\n", + "2019 2254386\n", + "2006 2307352\n", + "2017 2321583\n", + "2001 2529279\n", + "1992 2574578\n", + "1993 2703886\n", + "2018 2705325\n", + "1988 2765617\n", + "2007 2780164\n", + "1987 2855570\n", + "2016 2856393\n", + "2011 2857040\n", + "2008 2973918\n", + "1998 3034904\n", + "2002 3125418\n", + "2009 3444020\n", + "1994 3514763\n", + "1996 3539413\n", + "2004 3567744\n", + "1997 3620066\n", + "2015 3654892\n", + "2000 3826372\n", + "2005 3835025\n", + "1999 3908112\n", + "2010 4111392\n", + "2013 4182691\n", + "1986 5115251\n", + "1990 5235827\n", + "1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2460,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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d+cp0xdwBPK3t/qHAnb2NY2Zm3SpT2K8HDpf0DEl7A68D/rE/sczMrKqOu2IiYo+kdwJfAZYAn4mIm7uY94LdNTVqcjZodj5nq67J+ZytukXP1/HBUzMze2LwladmZplxYTczy4wLu5lZZp6QhV3Sakmr684xG0nPlPQeSSfUnWWmJmeDZudztuqanK/J2aB6vidUYZe0RtLVwBXAxyW9pO5M7ST9R+BrpO/SeZukt9cc6ReanA2anc/ZqmtyviZngy7zRUSj/4B9226/FvhEcfvNwD8AQ8V91ZDtBOAZ0/MHPgCcVtx/EfAlYLiOfE3O1vR8zpZnviZn63W+Rm6xSzpA0l9JuhX4hKTDikG/A/youD0G/BA4Y/ppi5jvKEnfA/4b8FlJJ0Rq7aOAQwAi4jrgm8BbFjNfk7M1PZ+z5Zmvydn6la+RhR04EdiXtGCPAB+QtJy0W/JqgIh4GLgYeElx/7F+hZF0qKQD2h46BbgkIl5K+oB5g6TDgQun8xUuA46WtE+/8jU5W9PzOVue+ZqcbbHy1VbYlSyV9FZJX5d0lqRnFYOfDTwSEXuAPwN+CpwGfBV4iqRfK8a7FfixpOP6lPFISV8GvgF8WNL01xT/P2C/4vYXgbuAdaRP1Ce37WHcR/p2y+f9KmVrej5nyzNfk7Mtdr7aCnuxq/GbwJuAjwH7AH9TDL4LuLv4ZPoxaWGeRWqA7/P41wIvA+4tHu8JSSva7j4fuCMi1gBXAp8oHr8PeFjS/hFxH/CvwFOLHN8E3luMtzfwc2B77tmans/Z8szX5Gx15lu0wi7pOEkflXR6cV/AkcAVEfGliPgYcJikFwM7SJ9gRxZP3wYMFI/9BfAqSa8mfSgMAt/tMtuTJJ0v6Xpgo6SDinxDwLWSFBH/CNwvaR1pT2H/YjjF/YOBx0h7GAdL+hvgImBPRNydY7am53O26pqcr8nZmpJvUQq7pOcAfwk8APyepPcW814NPFAsNMD5wBtIhXoP8OLi8RtIR4wfiohrgA3A6cDxwH+PiMfaplHFS4v5vYp0UOJs4ADSl50dUuxdAFxQ5Pt2sSyvBIiIbxXTWBoR24AzgZuB/xkRb6E7Tc7W9HzOlme+JmdrRr65Tpep+kfasj6DtNuxtHjsT4Gzitst4JPAycDLga+0PfdppF0VSIX8RtKvMB0D/G/gKW3jlj4dqWjYM4GrSd05q4rHvwi8u7j9DGBjMfxYUn/YkrZl+0kxndWkPYl3Ap8FPgWs6KLdGput6fmcza+r2+7f//V0i13S80kHOH8b+CDwvmLQDtJvpkL65LkW+F3gn4FDJD1X0rJI/ek7JL0kIq4kfd3lR4FLgYsi4t+m5xVFy5R0EvAa4EPAcaS+fUhn20zvHfwY+Drwyoi4nvSJO1LMcwq4Djg2InYAbyR1Bd0FvC8iHiwbqG1P49VNyzaD266axrUbuO26yfZEaLsyP433SyS9EDgc+GpE/IS0NX5rRJwu6QXAOZJawDjwnyTtFxEPSfou8HukczQvBP4A+KSk3cAkcHsxi78CLoyIXSUyKSJC0rGk3ZyvA1sinR7568BtEXGlpNtJV6++AtgK/I6kVRFxj6R/BR6U9HTgz4HTJB1M+tWoe0m7TkTEBDBRod1apL2aB4CPA3cDz6w7m9uuWrYnQru57fJru/mU2mJXskzSmyTdSOrYPxCYLrw/B7YXW983kHYtjgMe4vFTeAAeJe2CHELaKr+J1L9+NXBPRNwBaau8YlF/KfAZ0lHllwMfKUZ5DLhV0vKIuL3I91zSi3Un6XzS6eVYQmqfS4qMpwJrgc1R8RxXSSslfbaY5u3AuRFxt6S9SJ/kdWZbUrTdb5J2BRvTdsV6NyDpfBrWdsU8Q9IwzVzn9pG0oqFtd0DD225A0r6SLqBhbbegTvprgBXAi4vbBxbBPjnLeGeRLoNdXdw/mdSffhjpKwCuLh7fl9QNs6rtuccAe3eSZ8Y89wPexuNb/suAPwLeUQx/EvC9YvqnkPq71hTDTiqWZVVxexJYSerf/3J7HmCvLrJdRLpibIDUtXRm2zjTxyHeCfyPxcrW9rqeQVrZ1pMO8DSl7aazXVqsVwc1rO32B7aQfkkM4D1NaLcZ+b4M/HVx/2PA2+puO9J74s2k9/8lTWu7tnxXAn9fPNaY9a7TvwW32CWdDdwGbJE0GBH3k/qF7iz6xl+jxy8Q+hbpAOj0hUbXkg6iPhQRFwA/lfQ50kHRW4Bf9CFFxI0R8chCeWZkOwS4HBgGPkc6QPFa0l7CnmK6PyUdeH03qe/rYB4/jfIa0rn0j0TE5cCnSVeznkc6Yv1oW75Sn6ozsv0d8PYi263AEZI2FltRv690wdUVpD2Yvmcr8q0gvblOIF0/8ArScY9jSVtKdbZde7bNpLMFXku6huE36m67wnLStRfPkrSKtM4vKaZZS7vNkm9v0rr2VFIXx9GSPlJX20laRjrGdjLw8Yj43WLQMW3TrK3tZuT7WERMb3FPAkfV2XaldfAJNkzavfhb4D3FY8eSitYdRfALgU3FsHOAD7c9/3rgmOL2PqRTgI7txacSaeV9Udv900lbJm8Gvt32+FOBO4vb7yBdtvuk4vlfAp7eNu6qPmV7E+lI968Df1/8vR74X6Rz+RctW9v0Dmy7/Z9Jb6ZT6267WbL9MemUsWc2qO3eTOprfT/wVtKBtOvrbrdZ8r2PtMezqgltR9oDO3XGY6cA1zWh7ebI9/QiQ+3rXcfL0cGCTp+acwowXtxeRtqaWlncP4y0tX4saRfwYtKW1j+RPqn26Uv41Mcl+MVvt76Ax7t77iWdMzo97tcoCi1p9+mrxTh/skjZjgG+Mb3ito23jHRw+YTi/jn9zjYj5wGk4xs7gQ8X9+8FButqu1my3VXMdwVFN19dbdf2er6F1M32WuALxWP31N1uc+QbKx5rP124lvWO1EVxK7CpmP8HivpxH3BwA9a59nxXkb6Y69C617vSy1FigZ9MulDoOcX9pTOGnw+cPL0CkboezqRPRX2OlfkCHj9f/nPAR4vbv0ba43h62wtzNG1fCbxI2d7R/lhx+5Ci7Z672NnaMvwh6XzbzaR+7W8WbzjV2XYzsp1HOq3s2U1oO9JXRi8h9aFeTdoyvgl4f93r3Cz5/pl0htkLGtJ2XyHtgT2NtBV8FmnDsCnrXHu+L5Au/T+8CW3X6d900emIpE8BP4uIDcX9vUjnXb4DeA5wSpTsJ+8VSYeS+rTeFRG3Kn2h2GiRazXwnejNVWXdZHt7RNxWPHYMqVtqXZHtD+vI1k7pOoQzSW+yI0kr66HU2HZt2Y4mvdn+nHSW1UnU1HaSBkjdHPuQ2uk3SBeenE3aUj6cGtttlnyHk45P/BbpmNfLSO1Xy3qn4rTn4vbzSO/Ta0mX1Ne+zs3IdzTpSvdzSd80W9t6V0bZ89g3A+cWBxmOJK3Ex5NelLPrKuqFYyjOgZd0Bqn//2xSF9IPIp1+WXe2HxXZbietHHtIW/E31pit3b2kg4Dvi4i/k3QacHND8t1P6ie+ifS6LqO+tttDOnviUdKW+s9J6/8k8N4GtNtc+R6W9BpSwa9tvZsumoX7Sced3h8RFzag7Wbme4C08boN+K/Uu951rOwW++tIB0ofJn3j2JURcUufspUi6VrSwbXtpHNIPxQR36s1VGFGtruADQ1qt5WkLbg3kL7/fjNwXkQ8Ou8TF8Es2T4dEZvqTfXLigtPpvuy76o7z0xFvpOBz0Y666TuPPuQfnPhjaQ96r8EPhXpa7prN0u+zRHxZ/WmKqfjwi7puaTzOS8mHSzq2VfldqvYg/ggaUv485GuWmuEJmcDkLSU1P3yMClfk17XxmaDdFEX8FiU2TpaRE3OJ+lM0mm1n2va6wrNz7eQUlvsZmbWfE39aTwzM6vIhd3MLDMu7GZmmXFhNzPLjAu7mVlmXNjNzDLjwm5mlpn/D0QBdzhJVkBDAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.hist(xrot=20)" ] @@ -341,9 +2493,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } diff --git a/module3/exo1/syndrome-grippal.csv b/module3/exo1/syndrome-grippal.csv new file mode 100644 index 0000000000000000000000000000000000000000..270edb7a7b7bb2d8fa75a5480facbf3db629d954 --- /dev/null +++ b/module3/exo1/syndrome-grippal.csv @@ -0,0 +1,1888 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202051],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2020-12-27T14:39:30+01:00 +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name +202051,3,26752,21354,32150,41,33,49,FR,France +202050,3,16808,13160,20456,26,20,32,FR,France 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