diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..328774b22637c1a6642950b0e728bc0f93a6561e 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": [ @@ -28,15 +28,34 @@ }, { "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": "markdown", + "metadata": {}, + "source": [ + "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 risquée 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": 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": {}, @@ -61,9 +80,976 @@ }, { "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
020222332907322657.035489.04434.054.0FRFrance
120222231923015302.023158.02923.035.0FRFrance
220222131363210251.017013.02116.026.0FRFrance
320222031978715756.023818.03024.036.0FRFrance
420221931788414079.021689.02721.033.0FRFrance
520221833035325089.035617.04638.054.0FRFrance
620221733600630373.041639.05446.062.0FRFrance
720221634994942836.057062.07564.086.0FRFrance
8202215310080690824.0110788.0152137.0167.0FRFrance
92022143155441143891.0166991.0234217.0251.0FRFrance
102022133191914179558.0204270.0289270.0308.0FRFrance
112022123166224155035.0177413.0251234.0268.0FRFrance
122022113122849113306.0132392.0185171.0199.0FRFrance
1320221038790479741.096067.0133121.0145.0FRFrance
1420220935018243958.056406.07667.085.0FRFrance
1520220833096325942.035984.04739.055.0FRFrance
1620220733488229446.040318.05345.061.0FRFrance
1720220634662340398.052848.07061.079.0FRFrance
1820220536297056043.069897.09585.0105.0FRFrance
1920220437220964804.079614.010998.0120.0FRFrance
2020220337461367144.082082.0113102.0124.0FRFrance
2120220235592049511.062329.08474.094.0FRFrance
2220220135762950699.064559.08777.097.0FRFrance
2320215235434947029.061669.08271.093.0FRFrance
2420215134169835359.048037.06353.073.0FRFrance
2520215033811732497.043737.05849.067.0FRFrance
2620214934016834716.045620.06153.069.0FRFrance
2720214834184236364.047320.06355.071.0FRFrance
2820214733659831338.041858.05547.063.0FRFrance
2920214633005925302.034816.04639.053.0FRFrance
.................................
193319852132609619621.032571.04735.059.0FRFrance
193419852032789620885.034907.05138.064.0FRFrance
193519851934315432821.053487.07859.097.0FRFrance
193619851834055529935.051175.07455.093.0FRFrance
193719851733405324366.043740.06244.080.0FRFrance
193819851635036236451.064273.09166.0116.0FRFrance
193919851536388145538.082224.011683.0149.0FRFrance
19401985143134545114400.0154690.0244207.0281.0FRFrance
19411985133197206176080.0218332.0357319.0395.0FRFrance
19421985123245240223304.0267176.0445405.0485.0FRFrance
19431985113276205252399.0300011.0501458.0544.0FRFrance
19441985103353231326279.0380183.0640591.0689.0FRFrance
19451985093369895341109.0398681.0670618.0722.0FRFrance
19461985083389886359529.0420243.0707652.0762.0FRFrance
19471985073471852432599.0511105.0855784.0926.0FRFrance
19481985063565825518011.0613639.01026939.01113.0FRFrance
19491985053637302592795.0681809.011551074.01236.0FRFrance
19501985043424937390794.0459080.0770708.0832.0FRFrance
19511985033213901174689.0253113.0388317.0459.0FRFrance
195219850239758680949.0114223.0177147.0207.0FRFrance
195319850138548965918.0105060.0155120.0190.0FRFrance
195419845238483060602.0109058.0154110.0198.0FRFrance
1955198451310172680242.0123210.0185146.0224.0FRFrance
19561984503123680101401.0145959.0225184.0266.0FRFrance
1957198449310107381684.0120462.0184149.0219.0FRFrance
195819844837862060634.096606.0143110.0176.0FRFrance
195919844737202954274.089784.013199.0163.0FRFrance
196019844638733067686.0106974.0159123.0195.0FRFrance
19611984453135223101414.0169032.0246184.0308.0FRFrance
196219844436842220056.0116788.012537.0213.0FRFrance
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1963 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202223 3 29073 22657.0 35489.0 44 34.0 \n", + "1 202222 3 19230 15302.0 23158.0 29 23.0 \n", + "2 202221 3 13632 10251.0 17013.0 21 16.0 \n", + "3 202220 3 19787 15756.0 23818.0 30 24.0 \n", + "4 202219 3 17884 14079.0 21689.0 27 21.0 \n", + "5 202218 3 30353 25089.0 35617.0 46 38.0 \n", + "6 202217 3 36006 30373.0 41639.0 54 46.0 \n", + "7 202216 3 49949 42836.0 57062.0 75 64.0 \n", + "8 202215 3 100806 90824.0 110788.0 152 137.0 \n", + "9 202214 3 155441 143891.0 166991.0 234 217.0 \n", + "10 202213 3 191914 179558.0 204270.0 289 270.0 \n", + "11 202212 3 166224 155035.0 177413.0 251 234.0 \n", + "12 202211 3 122849 113306.0 132392.0 185 171.0 \n", + "13 202210 3 87904 79741.0 96067.0 133 121.0 \n", + "14 202209 3 50182 43958.0 56406.0 76 67.0 \n", + "15 202208 3 30963 25942.0 35984.0 47 39.0 \n", + "16 202207 3 34882 29446.0 40318.0 53 45.0 \n", + "17 202206 3 46623 40398.0 52848.0 70 61.0 \n", + "18 202205 3 62970 56043.0 69897.0 95 85.0 \n", + "19 202204 3 72209 64804.0 79614.0 109 98.0 \n", + "20 202203 3 74613 67144.0 82082.0 113 102.0 \n", + "21 202202 3 55920 49511.0 62329.0 84 74.0 \n", + "22 202201 3 57629 50699.0 64559.0 87 77.0 \n", + "23 202152 3 54349 47029.0 61669.0 82 71.0 \n", + "24 202151 3 41698 35359.0 48037.0 63 53.0 \n", + "25 202150 3 38117 32497.0 43737.0 58 49.0 \n", + "26 202149 3 40168 34716.0 45620.0 61 53.0 \n", + "27 202148 3 41842 36364.0 47320.0 63 55.0 \n", + "28 202147 3 36598 31338.0 41858.0 55 47.0 \n", + "29 202146 3 30059 25302.0 34816.0 46 39.0 \n", + "... ... ... ... ... ... ... ... \n", + "1933 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1934 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1935 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1936 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1937 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1938 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1939 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1940 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1941 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1942 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1943 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1944 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1945 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1946 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1947 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1948 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1949 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1950 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1951 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1952 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1953 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1954 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1955 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1956 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1957 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1958 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1959 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1960 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1961 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1962 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 54.0 FR France \n", + "1 35.0 FR France \n", + "2 26.0 FR France \n", + "3 36.0 FR France \n", + "4 33.0 FR France \n", + "5 54.0 FR France \n", + "6 62.0 FR France \n", + "7 86.0 FR France \n", + "8 167.0 FR France \n", + "9 251.0 FR France \n", + "10 308.0 FR France \n", + "11 268.0 FR France \n", + "12 199.0 FR France \n", + "13 145.0 FR France \n", + "14 85.0 FR France \n", + "15 55.0 FR France \n", + "16 61.0 FR France \n", + "17 79.0 FR France \n", + "18 105.0 FR France \n", + "19 120.0 FR France \n", + "20 124.0 FR France \n", + "21 94.0 FR France \n", + "22 97.0 FR France \n", + "23 93.0 FR France \n", + "24 73.0 FR France \n", + "25 67.0 FR France \n", + "26 69.0 FR France \n", + "27 71.0 FR France \n", + "28 63.0 FR France \n", + "29 53.0 FR France \n", + "... ... ... ... \n", + "1933 59.0 FR France \n", + "1934 64.0 FR France \n", + "1935 97.0 FR France \n", + "1936 93.0 FR France \n", + "1937 80.0 FR France \n", + "1938 116.0 FR France \n", + "1939 149.0 FR France \n", + "1940 281.0 FR France \n", + "1941 395.0 FR France \n", + "1942 485.0 FR France \n", + "1943 544.0 FR France \n", + "1944 689.0 FR France \n", + "1945 722.0 FR France \n", + "1946 762.0 FR France \n", + "1947 926.0 FR France \n", + "1948 1113.0 FR France \n", + "1949 1236.0 FR France \n", + "1950 832.0 FR France \n", + "1951 459.0 FR France \n", + "1952 207.0 FR France \n", + "1953 190.0 FR France \n", + "1954 198.0 FR France \n", + "1955 224.0 FR France \n", + "1956 266.0 FR France \n", + "1957 219.0 FR France \n", + "1958 176.0 FR France \n", + "1959 163.0 FR France \n", + "1960 195.0 FR France \n", + "1961 308.0 FR France \n", + "1962 213.0 FR France \n", + "\n", + "[1963 rows x 10 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data" @@ -78,9 +1064,73 @@ }, { "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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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020222332907322657.035489.04434.054.0FRFrance
120222231923015302.023158.02923.035.0FRFrance
220222131363210251.017013.02116.026.0FRFrance
320222031978715756.023818.03024.036.0FRFrance
420221931788414079.021689.02721.033.0FRFrance
520221833035325089.035617.04638.054.0FRFrance
620221733600630373.041639.05446.062.0FRFrance
720221634994942836.057062.07564.086.0FRFrance
8202215310080690824.0110788.0152137.0167.0FRFrance
92022143155441143891.0166991.0234217.0251.0FRFrance
102022133191914179558.0204270.0289270.0308.0FRFrance
112022123166224155035.0177413.0251234.0268.0FRFrance
122022113122849113306.0132392.0185171.0199.0FRFrance
1320221038790479741.096067.0133121.0145.0FRFrance
1420220935018243958.056406.07667.085.0FRFrance
1520220833096325942.035984.04739.055.0FRFrance
1620220733488229446.040318.05345.061.0FRFrance
1720220634662340398.052848.07061.079.0FRFrance
1820220536297056043.069897.09585.0105.0FRFrance
1920220437220964804.079614.010998.0120.0FRFrance
2020220337461367144.082082.0113102.0124.0FRFrance
2120220235592049511.062329.08474.094.0FRFrance
2220220135762950699.064559.08777.097.0FRFrance
2320215235434947029.061669.08271.093.0FRFrance
2420215134169835359.048037.06353.073.0FRFrance
2520215033811732497.043737.05849.067.0FRFrance
2620214934016834716.045620.06153.069.0FRFrance
2720214834184236364.047320.06355.071.0FRFrance
2820214733659831338.041858.05547.063.0FRFrance
2920214633005925302.034816.04639.053.0FRFrance
.................................
193319852132609619621.032571.04735.059.0FRFrance
193419852032789620885.034907.05138.064.0FRFrance
193519851934315432821.053487.07859.097.0FRFrance
193619851834055529935.051175.07455.093.0FRFrance
193719851733405324366.043740.06244.080.0FRFrance
193819851635036236451.064273.09166.0116.0FRFrance
193919851536388145538.082224.011683.0149.0FRFrance
19401985143134545114400.0154690.0244207.0281.0FRFrance
19411985133197206176080.0218332.0357319.0395.0FRFrance
19421985123245240223304.0267176.0445405.0485.0FRFrance
19431985113276205252399.0300011.0501458.0544.0FRFrance
19441985103353231326279.0380183.0640591.0689.0FRFrance
19451985093369895341109.0398681.0670618.0722.0FRFrance
19461985083389886359529.0420243.0707652.0762.0FRFrance
19471985073471852432599.0511105.0855784.0926.0FRFrance
19481985063565825518011.0613639.01026939.01113.0FRFrance
19491985053637302592795.0681809.011551074.01236.0FRFrance
19501985043424937390794.0459080.0770708.0832.0FRFrance
19511985033213901174689.0253113.0388317.0459.0FRFrance
195219850239758680949.0114223.0177147.0207.0FRFrance
195319850138548965918.0105060.0155120.0190.0FRFrance
195419845238483060602.0109058.0154110.0198.0FRFrance
1955198451310172680242.0123210.0185146.0224.0FRFrance
19561984503123680101401.0145959.0225184.0266.0FRFrance
1957198449310107381684.0120462.0184149.0219.0FRFrance
195819844837862060634.096606.0143110.0176.0FRFrance
195919844737202954274.089784.013199.0163.0FRFrance
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1962 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202223 3 29073 22657.0 35489.0 44 34.0 \n", + "1 202222 3 19230 15302.0 23158.0 29 23.0 \n", + "2 202221 3 13632 10251.0 17013.0 21 16.0 \n", + "3 202220 3 19787 15756.0 23818.0 30 24.0 \n", + "4 202219 3 17884 14079.0 21689.0 27 21.0 \n", + "5 202218 3 30353 25089.0 35617.0 46 38.0 \n", + "6 202217 3 36006 30373.0 41639.0 54 46.0 \n", + "7 202216 3 49949 42836.0 57062.0 75 64.0 \n", + "8 202215 3 100806 90824.0 110788.0 152 137.0 \n", + "9 202214 3 155441 143891.0 166991.0 234 217.0 \n", + "10 202213 3 191914 179558.0 204270.0 289 270.0 \n", + "11 202212 3 166224 155035.0 177413.0 251 234.0 \n", + "12 202211 3 122849 113306.0 132392.0 185 171.0 \n", + "13 202210 3 87904 79741.0 96067.0 133 121.0 \n", + "14 202209 3 50182 43958.0 56406.0 76 67.0 \n", + "15 202208 3 30963 25942.0 35984.0 47 39.0 \n", + "16 202207 3 34882 29446.0 40318.0 53 45.0 \n", + "17 202206 3 46623 40398.0 52848.0 70 61.0 \n", + "18 202205 3 62970 56043.0 69897.0 95 85.0 \n", + "19 202204 3 72209 64804.0 79614.0 109 98.0 \n", + "20 202203 3 74613 67144.0 82082.0 113 102.0 \n", + "21 202202 3 55920 49511.0 62329.0 84 74.0 \n", + "22 202201 3 57629 50699.0 64559.0 87 77.0 \n", + "23 202152 3 54349 47029.0 61669.0 82 71.0 \n", + "24 202151 3 41698 35359.0 48037.0 63 53.0 \n", + "25 202150 3 38117 32497.0 43737.0 58 49.0 \n", + "26 202149 3 40168 34716.0 45620.0 61 53.0 \n", + "27 202148 3 41842 36364.0 47320.0 63 55.0 \n", + "28 202147 3 36598 31338.0 41858.0 55 47.0 \n", + "29 202146 3 30059 25302.0 34816.0 46 39.0 \n", + "... ... ... ... ... ... ... ... \n", + "1933 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1934 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1935 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1936 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1937 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1938 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1939 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1940 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1941 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1942 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1943 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1944 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1945 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1946 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1947 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1948 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1949 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1950 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1951 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1952 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1953 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1954 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1955 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1956 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1957 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1958 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1959 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1960 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1961 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1962 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 54.0 FR France \n", + "1 35.0 FR France \n", + "2 26.0 FR France \n", + "3 36.0 FR France \n", + "4 33.0 FR France \n", + "5 54.0 FR France \n", + "6 62.0 FR France \n", + "7 86.0 FR France \n", + "8 167.0 FR France \n", + "9 251.0 FR France \n", + "10 308.0 FR France \n", + "11 268.0 FR France \n", + "12 199.0 FR France \n", + "13 145.0 FR France \n", + "14 85.0 FR France \n", + "15 55.0 FR France \n", + "16 61.0 FR France \n", + "17 79.0 FR France \n", + "18 105.0 FR France \n", + "19 120.0 FR France \n", + "20 124.0 FR France \n", + "21 94.0 FR France \n", + "22 97.0 FR France \n", + "23 93.0 FR France \n", + "24 73.0 FR France \n", + "25 67.0 FR France \n", + "26 69.0 FR France \n", + "27 71.0 FR France \n", + "28 63.0 FR France \n", + "29 53.0 FR France \n", + "... ... ... ... \n", + "1933 59.0 FR France \n", + "1934 64.0 FR France \n", + "1935 97.0 FR France \n", + "1936 93.0 FR France \n", + "1937 80.0 FR France \n", + "1938 116.0 FR France \n", + "1939 149.0 FR France \n", + "1940 281.0 FR France \n", + "1941 395.0 FR France \n", + "1942 485.0 FR France \n", + "1943 544.0 FR France \n", + "1944 689.0 FR France \n", + "1945 722.0 FR France \n", + "1946 762.0 FR France \n", + "1947 926.0 FR France \n", + "1948 1113.0 FR France \n", + "1949 1236.0 FR France \n", + "1950 832.0 FR France \n", + "1951 459.0 FR France \n", + "1952 207.0 FR France \n", + "1953 190.0 FR France \n", + "1954 198.0 FR France \n", + "1955 224.0 FR France \n", + "1956 266.0 FR France \n", + "1957 219.0 FR France \n", + "1958 176.0 FR France \n", + "1959 163.0 FR France \n", + "1960 195.0 FR France \n", + "1961 308.0 FR France \n", + "1962 213.0 FR France \n", + "\n", + "[1962 rows x 10 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2139,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2169,8 @@ }, { "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 +2194,17 @@ }, { "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 +2222,32 @@ }, { "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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nXBs9FWK1VdTfy2bSjH9jDig1VtQ51zxMhVjtFPX3spk049+YvwK4Dop0vynfw6l1FOn3spk089+Y11DsGF2Hjhz3Hk7+9Go2ckX8G/Maig2Lp0LMaquZ/8YcUFrQYIuB3hZpVlvN+jfmKa8W1Gr3ITKzkal2ysuL8i2kmRcD66Hr0BG+8+Qr3H/NBU0xPWGWNU95tRBfezAyzbjN0yxLHqG0kGZeDKwlj+zMquMRSotp1sXAWvLIzqw6HqG0GH8H+9B5ZGdWHQcUsyr4qnKzwXnbsJmZDchXypuZWV05oJiZWSYcUMzMLBMOKGZNqhm/wKlIWrH/HVDMmpSv7G+sVux/7/IyazL+vvjGyrL/83L/OO/yMsupWk+F+Mr+xsqy/4s2yvGFjWZ1Vv4mUYuvD/CV/Y2VRf8X9f5xDihmdVLPNwlf2d9YI+3/l2+fe9yvCc4zr6GY1UkRv0s8T/KynlAvd6zbyRPb9nLiCaP4zSdHG/qFeF5DMcsZT0WNTNHWE0aqiHcG9wjFrI5ufKyDSePGHjMVUn4HaPs871prvGpHKA4oZpZrnipsPE95mVlT8FRhcTigmFnuFXE9oV7ydIsXT3mZmRXYinU7+eG2vTXdBZbZlJekMyW9KOlNSbsk3ZrSJ0jaJKkzPY8vK7Nc0h5JuyXNL0ufLWlnem2VJKX0MZKeSulbJc0sK7M4naNT0uKy9Fkpb2cqe2K1nWNmVnTnrNjAzGXP8vjWvUSUrmuauexZzlmxoWFtqmbKqxf404j4MnARcIukc4FlwOaIOBvYnH4mvbYIOA9YAHxX0gmprgeAJcDZ6bEgpd8AHIyILwH3AfemuiYAdwIXAnOAO8sC173Afen8B1MdZmYtIY+32Bk0oETE/oj4h3R8GHgTmAYsBFanbKuBK9PxQmBNRPRExFvAHmCOpCnAKRGxJUrzbI9WlOmr62ngsjR6mQ9siojuiDgIbAIWpNcuTXkrz29m1vTyuFlhSLdeSVNRFwBbgTMiYj+Ugo6kySnbNOBnZcX2pbSP03Flel+Zd1JdvZI+BCaWp1eUmQh8EBG9/dRlZtYS8naLnaoDiqQvAH8D/ElEHErLH/1m7SctBkgfTpmB6jq2MdISStNszJgxo78sZmaFVH5R7Morv9LAlpRUtW1Y0mhKweSHEfGjlPxemsYiPXel9H3AmWXFpwPvpvTp/aQfU0ZSG3Aq0D1AXe8Dp6W8lXUdIyIeioj2iGifNGlSNf9cMzMbhmp2eQl4GHgzIv6i7KX1QN+uq8XAM2Xpi9LOrVmUFt+3pemxw5IuSnVeX1Gmr66rgBfSOstGYJ6k8Wkxfh6wMb32YspbeX4zM2uAaqa8LgauA3ZKejWl/RfgHmCtpBuAvcDVABGxS9Ja4A1KO8RuiYhPUrmbgB8AJwEb0gNKAesxSXsojUwWpbq6Jd0NbE/57oqI7nS8FFgjaSXwSqrDzMwaxBc2Ws202u3GzZqV7+VlDddqtxs3a3X+xkbLXFG/vtTMRsYjFMtcHq/gNbPac0CxzOXxCl4zqz1PeVlN5O0KXjOrPe/yMjOzAXmXVwvL0xfumFnrcEBpQt6ua2aN4DWUJuLtumbWSB6hNBFv1zUbnKeEa8cBpYl4u67Z4DwlXDue8moy3q5r1j9PCdeetw2bWUvoOnSElc+9yU92/YojHx9l7OhRzD/vi9zx9S97FD8Ibxs2MyvjKeHa85SXmbUMTwnXlqe8zMxsQJ7yMjOzunJAMTOzTDigmJlZJhxQzMwsEw4oZmaWCQcUMzPLhAOKmZllwgHFzMwy4YBiZmaZcEAxM7NMOKCYmVkmHFDMzCwTDihmZpYJBxQzM8uEA4qZmWXCAcXMzDLhgGJmZplwQDEzs0w4oJiZWSYGDSiSHpHUJen1srQJkjZJ6kzP48teWy5pj6TdkuaXpc+WtDO9tkqSUvoYSU+l9K2SZpaVWZzO0SlpcVn6rJS3M5U9ceRdYWZmI1HNCOUHwIKKtGXA5og4G9icfkbSucAi4LxU5ruSTkhlHgCWAGenR1+dNwAHI+JLwH3AvamuCcCdwIXAHODOssB1L3BfOv/BVIeZmTXQoAElIn4KdFckLwRWp+PVwJVl6Wsioici3gL2AHMkTQFOiYgtERHAoxVl+up6GrgsjV7mA5siojsiDgKbgAXptUtT3srzm5lZgwx3DeWMiNgPkJ4np/RpwDtl+faltGnpuDL9mDIR0Qt8CEwcoK6JwAcpb2VdnyNpiaQOSR0HDhwY4j/TzKzYug4d4VsPbqHr8JGanyvrRXn1kxYDpA+nzEB1ff6FiIcioj0i2idNmnS8bGZmTWnV5k62v93Nquc7a36utmGWe0/SlIjYn6azulL6PuDMsnzTgXdT+vR+0svL7JPUBpxKaYptH3BJRZmXgPeB0yS1pVFKeV1mZgacs2IDPb1HP/358a17eXzrXsa0jWL3yq/V5JzDHaGsB/p2XS0GnilLX5R2bs2itPi+LU2LHZZ0UVoDub6iTF9dVwEvpHWWjcA8SePTYvw8YGN67cWUt/L8ZmYGvHz7XK44fypjR5fe5seOHsXC86fy8tK5NTvnoCMUSU9SGimcLmkfpZ1X9wBrJd0A7AWuBoiIXZLWAm8AvcAtEfFJquomSjvGTgI2pAfAw8BjkvZQGpksSnV1S7ob2J7y3RURfZsDlgJrJK0EXkl1mJlZMvmUsYwb00ZP71HGtI2ip/co48a0MXnc2JqdU6UP/K2hvb09Ojo6Gt0MM7O6uPGxDiaNG8s1c2bwxLa9HDh8hAevax9yPZJ2RMSgBR1QzMxsQNUGFN96xczMMuGAYmZmmXBAMTOzTDigmJlZJhxQzMwsEw4oZmaWiZbaNizpAPBP/bx0OqVbuhRFkdpbpLZCsdpbpLZCsdpbpLZC7dt7VkQMejPElgooxyOpo5o91nlRpPYWqa1QrPYWqa1QrPYWqa2Qn/Z6ysvMzDLhgGJmZplwQCl5qNENGKIitbdIbYVitbdIbYVitbdIbYWctNdrKGZmlgmPUMzMLBNNG1AkPSKpS9LrZWn/StIWSTsl/W9Jp6T00ZJWp/Q3JS0vK/OSpN2SXk2PyQ1u64mSvp/SX5N0SVmZ2Sl9j6RV6cvMMpdhe+vRt2dKejH9v+6SdGtKnyBpk6TO9Dy+rMzy1Ie7Jc0vS69p/2bc1tz1raSJKf9Hku6vqCtXfTtIW/PYt5dL2pH6cIekS8vqqsv7AgAR0ZQP4N8Avwu8Xpa2Hfi36fiPgbvT8TXAmnT8W8DbwMz080tAe47aegvw/XQ8GdgBjEo/bwN+DxClLzD7Ws7bW4++nQL8bjoeB/wjcC7w58CylL4MuDcdnwu8BowBZgG/BE6oR/9m3NY89u3JwO8D3wbur6grb307UFvz2LcXAFPT8VeAf65X35Y/mnaEEhE/pfQNkOXOAX6ajjcBf9iXHThZpe+0Pwn4DXCoHu2EIbf1XGBzKtcFfAC0S5oCnBIRW6L0W/QocGVe21uLdvUnIvZHxD+k48PAm8A0YCGwOmVbzWd9tZDSh4ueiHgL2APMqUf/ZtXWLNuUZXsj4tcR8XfAkfJ68ti3x2trvQyjva9ExLspfRcwVqWvYq/b+wI08ZTXcbwOXJGOrwbOTMdPA78G9lP6SuP/GZ993TDA99PQ9r/WdLhYXVtfAxZKapM0C5idXpsG7Csrvy+l1ctQ29unbn0raSalT3JbgTMiYj+U/ngpjZ6g1GfvlBXr68e69u8I29onb317PHns28HkuW//EHglInqoc9+2WkD5Y+AWSTsoDSN/k9LnAJ8AUylNHfyppH+RXrs2Ir4K/Ov0uK7BbX2E0i9FB/CXwP8BeikNZyvVcwvfUNsLdexbSV8A/gb4k4gYaPR5vH6sW/9m0FbIZ98et4p+0hrdtwPJbd9KOg+4F7ixL6mfbDV7X2ipgBIRv4iIeRExG3iS0pwzlNZQfhwRH6dpmb8nTctExD+n58PAE9RpSuF4bY2I3oj4TxFxfkQsBE4DOim9aU8vq2I68G5lvTlqb936VtJoSn+UP4yIH6Xk99J0QN+US1dK38exI6i+fqxL/2bU1rz27fHksW+PK699K2k6sA64PiL63tvq+r7QUgGlbzeGpFHACuB76aW9wKUqORm4CPhFmqY5PZUZDXyD0tROw9oq6bdSG5F0OdAbEW+k4e9hSRelIfj1wDP1aOtw2luvvk198TDwZkT8RdlL64HF6Xgxn/XVemBRmn+eBZwNbKtH/2bV1hz3bb9y2rfHqyeXfSvpNOBZYHlE/H1f5rq/L2S9yp+XB6VPyfuBjylF6RuAWyntlvhH4B4+u7DzC8BfU1rMegP4z/HZTo8dwM/Ta/+LtIumgW2dCeymtEj3PKW7gPbV007pl/uXwP19ZfLY3jr27e9TGuL/HHg1Pf49MJHSZoHO9DyhrMwdqQ93U7Yjptb9m1Vbc963b1Pa0PFR+t05N8d9+7m25rVvKX2I+3VZ3leByfXo2/KHr5Q3M7NMtNSUl5mZ1Y4DipmZZcIBxczMMuGAYmZmmXBAMTOzTDigmJlZJhxQzMwsEw4oZmaWif8P5AS727RchlQAAAAASUVORK5CYII=\n", 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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 +2468,32 @@ }, { "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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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.hist(xrot=20)" ] @@ -341,9 +2501,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -364,7 +2522,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo1/syndrome-grippal.csv b/module3/exo1/syndrome-grippal.csv new file mode 100644 index 0000000000000000000000000000000000000000..ed0adfca152bad2d0b1a7192d256f34b8501bb22 --- /dev/null +++ b/module3/exo1/syndrome-grippal.csv @@ -0,0 +1,1965 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202223],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2022-06-16T11:13:19+02:00 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