diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..59dacece6353c743737f1d0e2e3876286c2a024a 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": [ + "telechargement des données en local" + ] + }, + { + "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 +80,978 @@ }, { "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
020210832749222140.032844.04234.050.0FRFrance
120210732219118096.026286.03428.040.0FRFrance
220210632317119122.027220.03529.041.0FRFrance
320210532242618445.026407.03428.040.0FRFrance
420210432580421491.030117.03932.046.0FRFrance
520210332181017894.025726.03327.039.0FRFrance
620210231732013906.020734.02621.031.0FRFrance
720210132179917778.025820.03327.039.0FRFrance
820205332122016498.025942.03225.039.0FRFrance
920205231642812285.020571.02519.031.0FRFrance
1020205132161917370.025868.03327.039.0FRFrance
1120205031684513220.020470.02620.032.0FRFrance
122020493129399923.015955.02015.025.0FRFrance
1320204831380410641.016967.02116.026.0FRFrance
1420204731908515285.022885.02923.035.0FRFrance
1520204632480120503.029099.03831.045.0FRFrance
1620204534251636857.048175.06556.074.0FRFrance
1720204434456738521.050613.06859.077.0FRFrance
1820204334373737523.049951.06657.075.0FRFrance
1920204233514529812.040478.05345.061.0FRFrance
2020204132787723206.032548.04235.049.0FRFrance
2120204032044316381.024505.03125.037.0FRFrance
2220203931981015900.023720.03024.036.0FRFrance
2320203832556221142.029982.03932.046.0FRFrance
2420203731848514649.022321.02822.034.0FRFrance
252020363103907646.013134.01612.020.0FRFrance
26202035399186842.012994.01510.020.0FRFrance
27202034360843090.09078.094.014.0FRFrance
28202033361063411.08801.095.013.0FRFrance
29202032359183330.08506.095.013.0FRFrance
.................................
186619852132609619621.032571.04735.059.0FRFrance
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186819851934315432821.053487.07859.097.0FRFrance
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187019851733405324366.043740.06244.080.0FRFrance
187119851635036236451.064273.09166.0116.0FRFrance
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18731985143134545114400.0154690.0244207.0281.0FRFrance
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18781985093369895341109.0398681.0670618.0722.0FRFrance
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18841985033213901174689.0253113.0388317.0459.0FRFrance
188519850239758680949.0114223.0177147.0207.0FRFrance
188619850138548965918.0105060.0155120.0190.0FRFrance
188719845238483060602.0109058.0154110.0198.0FRFrance
1888198451310172680242.0123210.0185146.0224.0FRFrance
18891984503123680101401.0145959.0225184.0266.0FRFrance
1890198449310107381684.0120462.0184149.0219.0FRFrance
189119844837862060634.096606.0143110.0176.0FRFrance
189219844737202954274.089784.013199.0163.0FRFrance
189319844638733067686.0106974.0159123.0195.0FRFrance
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1896 rows × 10 columns

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" + ], + "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 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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": 4, + "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 +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
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520210332181017894.025726.03327.039.0FRFrance
620210231732013906.020734.02621.031.0FRFrance
720210132179917778.025820.03327.039.0FRFrance
820205332122016498.025942.03225.039.0FRFrance
920205231642812285.020571.02519.031.0FRFrance
1020205132161917370.025868.03327.039.0FRFrance
1120205031684513220.020470.02620.032.0FRFrance
122020493129399923.015955.02015.025.0FRFrance
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2120204032044316381.024505.03125.037.0FRFrance
2220203931981015900.023720.03024.036.0FRFrance
2320203832556221142.029982.03932.046.0FRFrance
2420203731848514649.022321.02822.034.0FRFrance
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.................................
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1895 rows × 10 columns

\n", + "
" + ], + "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", + "[1895 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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aJ3luN4tIvYjUNzc3p/0ehUDCPVUS9FMa8tv26Fkk5TYitmGhUUBkJBoiEsQTjB+r6i8AVPWwqsZUNQ58H1jmDm8E6pK6zwIOuPZZKdr79RGRAFAJtKQZqx+qeq+qLlXVpTU1NZl8pbzmhKURMEsjy6TKnrIV4UYhkUn2lAD3AVtV9RtJ7TOSDnsv8Kp7/RiwwmVEzQUWAOtV9SDQLiLL3Zg3Ao8m9UlkRl0PPOniHk8AV4lIlXN/XeXajDQkYhglRX5Ki/wW08giCWsiGLCUW6MwySR76jLgQ8AmEXnZtX0e+ICILMFzF+0BPg6gqptFZDWwBS/z6laXOQVwC3A/UIKXNfUb134f8JCINOBZGCvcWC0i8iXgBXfcF1W1ZWRftXBIuKfKQn7KQgHae0w0skW6DQttRbhRCAwpGqr6DKljC4+n6XMHcEeK9npgcYr2HuCGQcZaBawaap7GCfrcU0HPPXW4rWecZ5Q/hG2dhlHg2IrwPKQ72T0V8ts6jSySEI3iYKqYhrmnjPzHRCMPGZhy22GB8KwR7vXObeptRMzSMPIfE408pDMp5XZSiScacVt4lhXC0TihgA+3Aw5gK8KNwsJEIw/pjkQpDvrw+YTqshCxuHK8u3e8p5UXhKNxioP+fm1+V+3KVoQbhYCJRh7SFYlRVuTlOEwp8/afaumKjOeU8oae3li/1eAAIkKR32fuKaMgMNHIQ3p6T9wNVydEo9NEIxuEo3FCwZP/bYJ+MfeUURCYaOQh4eiJu+GEaBztMNHIBuFojOKA/6T2YMAsDaMwMNHIQ8LReN86ArM0sku4N7WlEfD5LKZhFAQmGnmI50IZ6J4Kj+eU8oaeaIxQCkujyNxTRoFgopGHRJLcU8VBP2VFflo6LXsqG4R74/0W9iUw95RRKJho5CGJtQQJqsuLzNLIEt65TRHT8Ptsw0KjIDDRyEPCvQNEoyzEUYtpZIVUKbcAAZ/Y1uhGQWCikYeEB/jdp5QVWSA8Swy04hIUBXy2y61REJho5CEnuadMNLJGOBo7aUU4mHvKKBxMNPKQyIAFaAnR8OpaGaNhMEsj6Df3lFEYmGjkIQODtdVlRYSjcasVngV6emN96czJBG0bkWFztCNsOzDnIJmUe60TkT+IyFYR2Swin3bt1SKyRkR2uueqpD63iUiDiGwXkauT2i8SkU3uvbtd2VdcadhHXPs6EZmT1Gel+4ydIrISY0iSV4SDLfDLFqrqbViY0tIw0RguH7pvPbc/unm8p2EMk0wsjSjwj6p6NrAcuFVEFgGfA9aq6gJgrfsZ994K4BzgGuAeEUncmn0HuBmvbvgC9z7ATUCrqs4H7gLudGNVA7cDlwDLgNuTxck4mcSFLbmyXGLTQsugGh29MUWVQSwNIWoxjYwJR2NsO9TG9sNt4z0VY5gMKRqqelBVX3Sv24GtwEzgWuABd9gDwHXu9bXAw6oaVtXdQAOwTERmAJNU9Tn1nOsPDuiTGOtnwJXOCrkaWKOqLaraCqzhhNAYKei7sKW0NGytxmjoiXruvdQxDZ/FNIbB7iOdxBX2tXSP91SMYTKsmIZzG10ArANqVfUgeMICTHOHzQT2JXVrdG0z3euB7f36qGoUOA5MSTOWMQiJC1f/lNsQgK0KHyXh3sS5TZFya+6pYbHzcAcAx7t7Od5lf5e5RMaiISLlwM+Bz6hqOptSUrRpmvaR9kme280iUi8i9c3NzWmmlv8kypH2y54qT+x0a5bGaAgnLI0U7qmAX+iNmnsqUxqaOvpe72vtGseZGMMlI9EQkSCeYPxYVX/hmg87lxPuucm1NwJ1Sd1nAQdc+6wU7f36iEgAqARa0ozVD1W9V1WXqurSmpqaTL5S3hKOnnw3XFbkZ3JpkNdb7J9zNKQ6twksED48Gpo6+ioe2t9lbpFJ9pQA9wFbVfUbSW89BiSymVYCjya1r3AZUXPxAt7rnQurXUSWuzFvHNAnMdb1wJMu7vEEcJWIVLkA+FWuzRiExIUtORAuIpwxtYzXmjsG62ZkQE/Ciht07ykTjUzZ2dTORad7OS37TDRyikAGx1wGfAjYJCIvu7bPA18BVovITcDrwA0AqrpZRFYDW/Ayr25V1cQCgVuA+4ES4DfuAZ4oPSQiDXgWxgo3VouIfAl4wR33RVVtGeF3LQgi0ZNjGgBn1JTzpx2F7bobLQlBTrXLbVHAVoRnSjQWZ/eRTm66vJadh9vN0sgxhhQNVX2G1LEFgCsH6XMHcEeK9npgcYr2HpzopHhvFbBqqHkaHuFBMnzm1ZTzsw2NtPf0UlEcHI+p5TwnAuGpU27N0siMvS1d9MaU+dPKmV1daqKRY9iK8DwjPKilUQbArubOUz6nfOFEIDx15b5oXIlb9b4hSQTB508rZ1Z1qbmncgwTjTyj7244eLKlAVhcYxT0uHObqkZ4IobUGzdrYygS9epnVBYzu7qU/ce6iZnY5gwmGnlG4m64yN//Vzu7uhS/T8zSGAXpLI2g3/Pg2qrwoemKePtNlRT5mV1dSm9MOdTWM86zMjLFRCPP6AuED7iwFQV8zK4uNUtjFAyVcgtYXCMDOsOe+JYG/cyoLAbg0HFbGZ4rmGjkGYPFNADm1ZSZpTEKwmlSbgNONGwrkaHpikQJBXwE/D6qSr2Fp622W0HOYKKRZwyWPQVeXGPXkQ5e3X/8VE8rL0ibcuvcU5Z2OzSdkShlIS9xM7EvWmuXbaaZK5ho5BnpXCh/s/x0aspDfODe5004RkA6Ky7hnrKSr0PTFYlRWuSdw8mlXvq3iUbuYKKRZySyp4pSiEZddSk/veVSAH70/N5TOq98INwbQ+RE0DsZi2lkTlc4RlmRZ2mUhwIE/WKbaeYQJhp5RqpdbpOZObmEc2ZOYvvh9lM5rbygJxqnOODH1Q7rR0I0EtaIMTidkSilIe/vU0SYXFrEMbM0cgYTjTwj3d1wgjNrK9hxqN1qhg+TcG8sZbotnMhWM9EYmq7ICUsDoLq0yKpK5hAmGnmGVx/cl/JuOMHC6RV0RmLsP2ZpjsMhcW5TkVjwl9jU0BicznCUkqITlnBVWZBjVlMjZzDRyDO8C1tq11SCM2srANhhLqph0dMbozhFLQ2g7yJoojE0nqWRJBqlRbSYeypnMNHIM8LR2KB3wwkWONHYdshEYziktTSceyqx1YgxOF2RKKWhE+6pqjKLaeQSJhp5RjgaT5k5lUxlSZDTKovZYaIxLNJZceaeypzO8EBLI0hrV6/F2HIEE408I93dcDILp1ew/bBtKTIc0llxCbeVWRrpicWV7t4YpUmB8KrSImJxpa0nOo4zMzLFRCPPCPcOHdMAL67xWlOHLUYbBj298cFjGq692yyNtCTOT1mof0wDoNUyqHKCTMq9rhKRJhF5NantCyKyX0Redo93Jr13m4g0iMh2Ebk6qf0iEdnk3rvblXzFlYV9xLWvE5E5SX1WishO90iUgzXSEI4OnhaazILaCiKxOHutlkHGpLM0Qn0xDRONdCR2uE22NBJbiVgwPDfIxNK4H7gmRftdqrrEPR4HEJFFeKVaz3F97hGRxC3Fd4Cb8WqGL0ga8yagVVXnA3cBd7qxqoHbgUuAZcDtrk64kYZIhu6p+dO8+hqJgjjG0IR744Ov0wj4EDmxqaGRmq7wyZZGYisRC4bnBkNeXVT1T3h1uzPhWuBhVQ2r6m6gAVgmIjOASar6nHrRrgeB65L6POBe/wy40lkhVwNrVLVFVVuBNaQWLyMJLxA+tHtqnqvkZ6KROWG3IjwVIkIo4KPHFvelpTNRSyOYwtKwrURygtHEND4lIhud+yphAcwE9iUd0+jaZrrXA9v79VHVKHAcmJJmLCMNmQbCK4qDTJ9UzGsmGhnTk2ZFOHhxje6IWRrp6IqksjQ80TBLIzcYqWh8B5gHLAEOAl937amWIWua9pH26YeI3Cwi9SJS39zcnG7eeU8m6zQSzJ9WToMVZcqYoRZOFgf9FtMYgs7wyTGNScUB/D6xrURyhBGJhqoeVtWYqsaB7+PFHMCzBuqSDp0FHHDts1K09+sjIgGgEs8dNthYqeZzr6ouVdWlNTU1I/lKeUOm2VPgicZrTR2WH58hPb3pBbk46Df31BCksjREhKrSIlptK5GcYESi4WIUCd4LJDKrHgNWuIyouXgB7/WqehBoF5HlLl5xI/BoUp9EZtT1wJMu7vEEcJWIVDn311WuzUhDJDZ4sHYg82rK6IzEOHjc6jMPRSyuhKPxfnsmDSQU8JmlMQQJSyN5w0JwC/zM0sgJAkMdICI/Aa4ApopII15G0xUisgTPXbQH+DiAqm4WkdXAFiAK3Kqqif+iW/AysUqA37gHwH3AQyLSgGdhrHBjtYjIl4AX3HFfVNVMA/IFS7g3RpE/Q9FwGVSbD7RxrKuXRadNGsup5TSJ9QWlaUSjpMjcU0ORsDQGnsfqsiKOdobHY0rGMBlSNFT1Ayma70tz/B3AHSna64HFKdp7gBsGGWsVsGqoORonCEcztzQSabd/95MX6emN8/jfv9GEYxAS6wtKigb/lykOmGgMRSJ7qizU/zzWVITYfKBtPKZkDBNbEZ5HqGpGu9wmqCkPMbU8RHHQj98nPL7p4BjPMHfpiXixitJBVoSDt2mhbSOSnu6IV+9lYGxoanmII+1maeQCJhp5xImqfZn9WkWE1R9fzpp/eDPLz6jm8U0HLSg+CF29iawfy54aDZ2u1OvAei81FSHaw1FLWc4BTDTyiEh0eKIBcEZNOTUVId6xeAa7jnSywzYxTEnCF58uEF4S9NveU0PQFYmmFN6a8hAARzrM2pjomGjkEeERiEaCq8+ZjgjmohqE7r4A7uAxjVDQb+6pIeiMxE6KZ4BnaQA0m2hMeEw08ogTopFZTCOZmooQi2ZM4uV9x7I9rbygz9IYIqZhe0+lpys8iKWREA2La0x4TDTyiIQ/PdPsqYGcPqWUfa22620qTmRPDRHTiJpopKMzEj1pjQZ4gXAw91QuYKKRR/TtIJrGhZKOuqpSGlu6icctGD6Q7kHWFyRTEvTTG1OrUZKGrkiM0tDJ53BKubf/lFkaEx8TjTwikQOf6p8yE+qqS4nE4jTZP+5JDLYoLZm+OuG2lcigdIZTWxpBv4+q0qCJRg5gopFHJO6GR2xpVJcC8LoVZjqJRFbUUO4psEJM6eiKxAY9hzUVIXNP5QAmGnlEn6WR5sKWjtlONPaZaJxEVySK3ydpt2gx0Ria9p4ok4qDKd+bWh4ySyMHMNHIIxIxjdIUKY2ZcNrkYkTM0khFVyRGadB/0qK0ZEw00tMbi9MRjlJZklo0PEvDNi2c6Jho5BF9+/qM0NIIBfxMn1RsGVQp6E7jVklQHEjUCbeYRiqOd3tbnyfKuw6kxiyNnMBEI4/oymAB2lDUVXsZVEZ/uiKxId1+Zmmk51hXetGYWhGiuzfWt326MTEx0cgjOsNRgn6haAQrwhPUVZWaeyoF3b2xtDvcwokguVkaqUlYGoO6p8ptgV8uYKKRR3h3wyO3MsALhh9u77G75QF0R2KUDLFosjhglkY6jnd78YrBRGPaJE80dh/pPGVzMoaPiUYe4eXAjyyekaCuugRVaGw1F1Uy3kZ76QU5sU7DNi1MzQn3VFHK95eeXk1NRYj/84eGvt2WWzsjPPLC69y9dqdV9psgDCkaIrJKRJpE5NWktmoRWSMiO91zVdJ7t4lIg4hsF5Grk9ovEpFN7r27XdlXXGnYR1z7OhGZk9RnpfuMnSKSKAlrDEJX79DB2qFYWFsBwNaDVhAnmXTrCxJYTCM9faIxiKVRUuTn01cuoH5vK3/Y3kQ8rty4aj3//PNNfGPNDp7YfOhUTtcYhEwsjfuBawa0fQ5Yq6oLgLXuZ0RkEV651nNcn3tEJPGf9h3gZry64QuSxrwJaFXV+cBdwJ1urGq80rKXAMuA25PFyTiZrnA05Q6iw2FhbQVFAR+b9h/P0qzyg+7eYQTCbUV4ShIxjUmDiAbA+y+uY86UUv7t0c3c98xuNu0/zhevPQeAo2ZpTAiGFA1V/RNe7e5krgUecK8fAK5Lan9YVcOquhtoAJaJyAxgkqo+p57d+eCAPomxfgZc6ayQq4E1qtqiqq3AGk4WLyOJzgwknOeCAAAgAElEQVQyfIaiKODj7BmT2Nhou90mk1n2lPfvZDvdpuZ4dy8VxQH8vsHXugT9Pr654gJaOyPc8fhWFs2YxN9ccjrloYCtFp8gjDSmUauqBwHc8zTXPhPYl3Rco2ub6V4PbO/XR1WjwHFgSpqxjEHoGmQH0eFy3sxKXt3fZhsXJuEFwoeKafj7jjVO5lhXZNB022TOr5vM929cSl11Cf/27kX4fMKU8iJazNKYEGQ7EJ7qFkLTtI+0T/8PFblZROpFpL65uTmjieYjXeHYiFeDJ3PurEo6wlH2HLUsFvBqrw9WcS6ZoN+H3ye2PfogHOvuZXJJ6iD4QC6dP5Wn/+mtLD9jCgDVZUUctdXiE4KRisZh53LCPTe59kagLum4WcAB1z4rRXu/PiISACrx3GGDjXUSqnqvqi5V1aU1NTUj/Eq5j1erYHTuKYBzZ1YCWFzDEY7GiWv6zQoTlFj1vkE53t2bkaWRiilltpnhRGGkovEYkMhmWgk8mtS+wmVEzcULeK93Lqx2EVnu4hU3DuiTGOt64EkX93gCuEpEqlwA/CrXZgxCV3j06zQAFkwrJxTwsbHRRAMyq6WRoDjos+ypQTje1Zs2CJ6OqeaemjAMeYURkZ8AVwBTRaQRL6PpK8BqEbkJeB24AUBVN4vIamALEAVuVdXEf9AteJlYJcBv3APgPuAhEWnAszBWuLFaRORLwAvuuC+q6sCAvOFQVTozcKFkQsDv46zpFWw/1J6FmeU+Xb2Zi0Yo4Ld1GoPguadGJhrVZZ5oqGraTSONsWdI0VDVDwzy1pWDHH8HcEeK9npgcYr2HpzopHhvFbBqqDkaJ1woIy3ANJCZVSUmGo5utxFkcZr64Am8OuHmnhqIqo7OPVUeIhpX2rqjVI5wDCM72IrwPKFrlAWYBlI7qZhDx3uyMlau0x3xRCAT119Jkd/cUynoCEeJxTXjQPhAppR5/Y50WlxjvDHRyBMSO4Nmwz0FMKOymM5IjPae3qyMl8t0DaO4VUUoSJuds5NIrAYfbN+poUjUELcMqvHHRCNP6LM0spByC56lAZi1wYmYRibZUwnfu9Gfvh1uR+haqnaWRotZGuOOiUaeMNpSrwOZUVkCwKE2E43hZE9VlQVp7TJLYyBD7Ts1FFPdtulW2W/8MdHIExKlXrNlaUx3lsZBszROFLcaYkU4QHVpEce6IsRsNX0/TlTtG1lMo6rU3FMTBRONPCFhaZRkkOGTCYnaBodNNPqypzJxT1WVFRFXaOs2ayOZY0PU0hiKooCPScUBc09NAEw08oREsDZblkZx0E91WREHzT2VVEY3s5gG2I6sAzl8vAefnDg/I2FqeYgjdl7HHRONPKEz4Z7KUkwDPBeVWRrQ3hPF75OMrLjERbG1yy5uyTQe66Z2UvGoShF7+0+ZpTHemGjkCX3B2ixZGgDTK4stpgEcONbN9EnF+NJs6Z0g4Xu3DKr+7G/tZubkklGNYTvdTgxMNPKEbMc0wBONw+aeovFY5he8PkvDLm79aGztZlbVaEUjZNlTEwATjTyhKxKjJOhPW+BmuEyfVMzRzgjhAt/qe39rN6dNLs7o2L4sHxONPqKxOIfaepg5StGYVhGipTNCxCojjismGnlCZzhKWZb2nUowvdK7UDa1Fa4febgXvJIiPyVBv1kaSRxq6yEWV2ZVlY5qnMSC02aLa4wrJhp5QlckllFK6HCY4URjX2tXVsfNJQ63h4nFlZmTM7/gVZcV0WKB8D72t3YDjDqmMa3CSwNvMpfpuGKikScc7+6lIpTd3T/POc0rxvTS64VbL7zvgjcM10p1WZFZGknsP+adw9HGNBKWRlO7WRrjiYlGnnDgWDenjfJObiDVZUXMqyljw97WrI6bSxw4Nvy75KqyIlpsK5E+Gp3wjvbv0yyNiYGJRp7giUZmwdrhsPT0aur3tBAv0G0x9o9ANKpLg7ZyOYn9rd3UVIQyqkeSjinlIXxilsZ4Y6KRB7T39NLWE826pQGwdE4VbT1RGpo7sj52LtDY2k11WdGw4kVVZUW0dpqlkaDxWNeo4xkAfp8wtTxkaeDjzKhEQ0T2iMgmEXlZROpdW7WIrBGRne65Kun420SkQUS2i8jVSe0XuXEaRORuV0ccV2v8Ede+TkTmjGa++UpiAd7YiEY1AC/sKcxKu/uHsUYjQXVpER3haMGnKifY39o96nTbBLWTis3SGGeyYWm8RVWXqOpS9/PngLWqugBY635GRBbh1f8+B7gGuEdEErdv3wFuBha4xzWu/SagVVXnA3cBd2ZhvnlHwu9+WmX23VNzppQytbyIDXsKM66xv3X4d8lVboHfMYtr0BuLs/9YN3WjTLdNMK0ixOECTgGfCIyFe+pa4AH3+gHguqT2h1U1rKq7gQZgmYjMACap6nOqqsCDA/okxvoZcKVYVfmTOHBs7CwNEWFJ3WQ27j+e9bEnOqrKgWPDX5Q2pcy2Ekmwq7mT3phy1vSKrIw3bVIxze3mnhpPRisaCvxORDaIyM2urVZVDwK452mufSawL6lvo2ub6V4PbO/XR1WjwHFgysBJiMjNIlIvIvXNzc2j/Eq5x4Fj3fh90pddkm3mTStn79FOorHCWom760gn3b0x5tWUD6vfVPd7sAJWsPVgGwBnz5iUlfGmVYQ42hmht8D+FicSoxWNy1T1QuAdwK0i8qY0x6ayEDRNe7o+/RtU71XVpaq6tKamZqg55x0HjndTWxEi4B+bvIb5NeX0xpR9LnWyUFi3y4vjXHJG9bD6zXci03C4MJMHktl6qI0iv48zasqyMl7tpGJU4YitCh83RnWVUdUD7rkJ+CWwDDjsXE645yZ3eCNQl9R9FnDAtc9K0d6vj4gEgEqgMCOyaRiLNRrJzJvmXQRfayqsi+D63UeZWh7ijKnDu+BVlRUxtbyIHYfbx2hmucPWg+3Mn1ZOMEs3NCfWakx80VBVHnnhdW5+sJ7P/3ITx/Jkl4AR/yZFpExEKhKvgauAV4HHgJXusJXAo+71Y8AKlxE1Fy/gvd65sNpFZLmLV9w4oE9irOuBJ13cw0jiwLGesRWNxJ1zAaXdqirrdrdwyRnVjCSMtmBaBTsKTGRTse1gG2fNyE48A06sCs+FtNv/2XiQf/75JjYfaGP1C/u46q4/0ZgHW/KMRv5rgWdE5BVgPfBrVf0t8BXg7SKyE3i7+xlV3QysBrYAvwVuVdVETuItwA/wguOvAb9x7fcBU0SkAfgsLhPLOEE8rhw63sOMMVjYl6CyJEhNRahgLI3OcJTXW7o4eLyH5XOH55pKsLC2nIbD7RTyPc7RjjBN7WEWZSmeAVCbKEOcA6Lx6Ev7mVFZzNP/9BYevnk5Te1h/rA992OuI67Yo6q7gPNTtB8Frhykzx3AHSna64HFKdp7gBtGOsdC4EhnmEgsnpXFU+mYV1PGawVgabR0RnjjnU/2xYcuOeOkvIuMWFBbQWckxv5j3aPe3TVX2XbIc8+dNT17olFTEaI8FGDnBL+BaemM8Mcdzdx0+Vx8PuGi06uoCAXYcSj3XZa2IjzH2XPEM3dHuxncUMyrKee15s68v3P+c8MROiMxqsuKWFhbzoJpw8ucSrCw1nPJ7CzgYPjmA16adjbdUyLCWdMr2HZwYl98H990kGhcuXaJlwgqIiycXsH2PIhzmWjkOImV2kvqqoY4cnTMqynneHdv3hcX+nPDESqKA/z+s2/md//w5hHFM8BzTwEFEwyPx5VvP7mTPUc6+9qe2HyYM2srmFqe3VTws2ZUsPVQ24S+gfnlS/tZMK2cs5MEc2FtBTvywGVpopHjrN/dwsLa8r4yo2PFfHfHnc93zqrK0zuPcOm8KaOugDi5tIiaitCEd6Nki3W7W/ja73bwyR+/SCQaZ19LFxv2tvKeJadl/bPOmj6J9p5o32aSE40tB9rYsLeV919c1++m48zaco519dKc49ugmGjkMLG4smFvK8tGGKwdDufNqsTvE5597ciYf9Z48XpLF/uPdXP5/KlZGe+s6RVsbCyMWiSPvryfoF/YcrCNr/9uO4+94mXNv+f87ItGYqHgRHVR/WjdXoqDPm64qK5f+0K3Kj7XXVQmGjnM1oNtdISjXDxn7EVjcmkRF51exZoth8f8s8aLPzccBeCyLInGW86cxo7DHezK8wSCcDTG45sO8u7zTuP9S+v43p928Y01O7hw9mTqqrOfBHCmu/huO9SW9bFHS1tPL//3pf285/zTqCztXxTtTBfn2j5GwfCtB9v69qEbS0w0cph1u714xqmwNADefnYt2w61s68l93PNU7FmyyFmTi5h7jAX8w3GNYunA/CbVw9lZbyJyh+2NdPWE+XaC2by5fedy1f/8jzmTi3jo5fPHZPPKw8FmF1dytYJkIl08Hg3HeFo38+/fHE/XZEYH1o+56Rjp5SHsrLoc9uhtpNcc7G48tnVr3DjqvVjHjMx0chh1u06Sl11CTMqxzZzKsHbFtUCsHZr/lkbh9t6+OOOZq674LQRB78HctrkEs6vm8xv81g0jnSE+epvtzGtIsRlLhb0VxfX8fvPvpm/OC/7rqkEZ02v6NvXarzoikR5193P8OmfvAR4MbGHnt/L+XWTOXdWZco+C2sr2Nh4fMQX9u2H2rnu//yZa7/9Z14/2kUsrsTjyur6fWw92MZn3rYga3+/g2GikaPE4srzu45y6RnZcaVkwtypZZxRU8YTm/NPNH7x4n7iCtcP8EOPlncsns6m/cfz0jrrDEf58A/Xc+B4N/d88MIx2/ssFRfPqWZXcyebGsdv9+X/+9IBWjojrN3WxAt7Wnhu11Eamjr40PLTB+1zzeLpbDvUzh+2N6V8v7G1q29j0O5IjA17W/hzgxdH7AhHueXHGygPBYnG41x3z5857wtPcPEdv+fLj29l2Zxq3nXujOx/0QGYaOQomw8cp60nyqXzR7b4bKS8d8lMntt1lC0HJp4/eSR0R2I8v+soP63fx9LTq7LmmkrwrnNn4PcJP3h6V1bHHW/iceUfHnmZLQfauOeDF/YV6zpVrFhWR2VJkG+u3XFKPzeBqnL/s7s5s7aCaRUh/u3RzXz58a1MLg3yF+cNfuFecfFs5k4t4z8f33bSrtGbDxzniv//KT7/y020dka48utP8ZffeY4P/mAdT2w+xH/8agt7jnTyrQ9cwA8/fDGLZ1byvgtncen8qVSVFnH7exaNuZUBo1gRbowvz7i7j0vnnTpLA+DGN8zhe3/axT1PNfDtv77wlH52tmnv6eWG7z7Xt3L51rfMz/pn1FWX8v6L6/jv9a/z0cvncvqU7IrSeBCPK//x6638bsth/vdfLOKtZ9We8jlUFAf52zfO5Wu/28GzDUe4NEvJC5ny3GtH2XG4g69efx7xuPK5X2yiuqyIz11zVtpa6EUBH/98zVl84kcbWF3fyF9fMhuAaCzO536+iWhcWV3fyJ6jXTS1h/nmiiV874+7+F+rX6E9HOWWK+bxhnnejeKDH112Sr7rQMzSyFGebTjKWdMrqBmjGhqDUVka5G+Wn86vNx3M6aygaCzOp/77JRqaOvjaDefzu394E++7cObQHUfAp69cgN8n3PnbbTm/sCsai/P3D7/Eqj/v5sOXzuGjl80Zt7msvHQOMyqL+eB967jtFxuJx0/duX34hX1UlgR5z/mnsWLZbF78329nw7++jRXLZg/Z9+pzall6ehXfWLODThdEv/fpXWzaf5w7//JcplWEWL+7hZvfdAbXLpnJN95/Pj3RGGfWVvCZty0Y6682JCYaE4SWzgjXf+dZvvDYZnp6B68tXb+nhZ/W7+OFPS2n3MpI8NHL56DqbZWQq9z3zG7+uKOZL167mOsvmsXC2ooxM+1rJxVz6xXzeXzTIX687vUx+YxTxSP1+/jVxoP80zVncvu7T407ZDAqioP89jNvYuUb5vCT9fv48bq9p+Rzj3f38sTmQ1y75LQ+q6K6rCjjcyEi/Mu7zuZIR5hvrNnBU9ub+NoT23nnudP5q6V1fPX683jXeTP4+ys9gThr+iR++cnL+NHHLiEUGNyKOVWYe2oC0NMb428frGdj4zHq97ayZsthzppewfUXzeIdSYGtls4IH/nhC7S7u5M3Lhgf0ZhWUcw5p03imYYjfOqt43/nMxxUlYamDr6xZgdXLarlA8uyG/gejE++ZT4bXm/l3/9nM0vqJrN4ZursmolMT2+Mb61t4KLTq7jlzfPGVTASVJYEuf3di3ituYOv/GYbbz27dsw37/zVxgOEo3Guv2jW0AcPwgWzq3jvBTO575nd3PfMbubVlPHV689HRLjizGlccea0fsdPpL8XszTGmWd2HuFddz/Ni6+38s0VF3D/Ry5mYW05O5raueXHL/Jfv9/R59K4e+1Ounpj/PDDF3P/Ry7mijPHr0rh5fOn8uLeY3RFokMfPEGo39PCBV9aw9vv+hOhgI//uG7xKbvw+X3CN99/AaVFAb79ZMMp+cxs0BWJ9lm+Dzy7h0NtPfzjVQsnhGAkEBG+/N5zUWDFvc/x6hjVs2/tjPCDp3fxg6e9APi5o7yQf/X687j/IxfzySvmcd/KiykP5cY9fG7MMk/Z19LFyh+up66qhFUrL+YtZ3l3F1ecOY1wNMa//PJV/uv3O3mtuZNL503hR8/vZcXFdX3HjSeXzp/K9/60ixf2tPLmheNbYrenN0ZPb4yigI/Wrl52HGpn95FOKkuCXDB7MmfUlNMZjvLZ1a9QHgpwy5vn8aaFNUybNHY1SFLhxYNmc89Tr7HnSCdzspypNRp6Y3F+tfEA63e38u7zZ1BXVcqvNx3k20824PcJly+Yyq83HuQtZ9aMm1s0HXXVpfz4Y5fwyR+/yPXffZYffnhZX8A4HZ3hKHet2dFXMOvs6RX87ZvOOGmTxXA0xofvf4FX9h2jqjTIf77vvFELZ9DvS2lVTHQk1wNzA1m6dKnW19ef8s+NxZVYXCkKZG68felXW3jg2T08/c9vSblAT1X57h93cedvtwGwaMYkHrxpWdZ3DR0JXZEoS/59DR++bA6ff+fZ4zaPtVsP85lHXqa9Z3CL54LZk+mOxNh+uJ2H/3b5iGtkZIOmth4uv/MPXL90Fl9+77njNo9kNjYe4zMPv8yuI50E/UJv7MQ14a1nTSMWV/64o5m/WT6bf33XorTZQePNkY4wH7j3eQ4c6+bBm5Zx0enpU4H/v5++ws9ebGTxaZXEVdl+qJ3z6ybz0E3L+NOOZprbw4SjcdbtbmHNlsPc88ELeecpWAsxHojIBlVdOtRxOWFpiMg1wDcBP/ADVf3KWH1WbyxOe080o11j43Fl++F2frf5MD9at5fm9jDVZUW869wZvPPcGcybVkZNeSjlHUl7Ty+PvLCPd503Y9AV3SLCLVfM48LZk/G7Qi4TxS1QWhTgwtO91c43XT6XiuIAvTGlsiR40rGq2jfvHYfb+dHze1GFy+ZP4azpk5hdXYpvmLvKtnRG+Obvd/DAc3s557RJvO/CWUSicSaXBpk7tYz507wdRZ/YfIi1Ww8TCvq5/S8WjatgAEybVMz1S2fx3+teJ9wb52NvnMvC2oq+XXXjcR32uRgpHeEo9/yhge8/vYup5SHu/dBFvHFBDb/edJBwNMaFs6v6Ngc80hGeEDcrQzG1PMSPPnYJ7//ec/z199fxuXecRVy92uJvX1RLcdBPY2sXT25rYl9LFz/d0Min3jKf/3X1mYAXr/jUf7/EsjvW9tseRAQ++/aFeSsYw2HCWxoi4gd24JWObQReAD6gqltSHT9SS6O9p5eHnt/LA8/u4XBbmDOmlvHXl8zmxjfMIRKLc/BYNy2dEYoCPuZOLaOpPcwnf/wiDc6sffPCGi6cXcVrzR38dvMhIlFv4U55KMDcqWXMnlIKCp2RKF2RGEfaw+w60sljn7qM82ZNHtnJGWee2t7ELT96kaBfCLvve8d7z+VoR5g/bG8iFPCz+0gn7T29fPbtC9lysI2frN9HKODD7xO6Ip6vfM6UUj55xXxCQR+d4dSZY+XFARbNqMDv8/H7LYe5+8mddIajfPCS0/mXd509oe9+BxKJxvnWkzu556nXiMWVaRUh/u7KBfxxexNPbmuiym2rXjupmGnuua66hLedXUtZKEBDUwfNHWF2Hm5n95EurjxrGtMri3lhTws+EcLRGIfbwsyrKefM6eXE1bOEy4oCLKgt5087mnn05QP8aUcz7eEo77tgJv/27kVMLh3b7fVPJS2dET7x0AbWu3oz4K2RmFJWxKG2HhKXvTecMYUHb1pGMGk1+7fW7uSPO5r5+JvncX5dJSG/n1DQl1N/YyMhU0sjF0TjDcAXVPVq9/NtAKr6n6mOH6loNLeHuezOJ1k2p5o3zJvCH3c0s353C0V+H5EBKzcBgn6hsqSIf7r6TC5bMLVfxkZrZ4SN+4+zu7mD3Uc62XWkk30tXfh9QlkoQEnQT1kowOLTJvHZq84c9lwnEg1N7XztiR1Mryxmy4G2vn/SxTMnIQgzJ5fQ0hVh/e4WfAIfe+MZfOLN8ygPBdh84DjbDrXzwLN7+hbYZcoVZ9bw+Xee3VchLxfZf6yb9buPcv+ze3ll3zHKivz81cV1hKNxmtp6aGoPc7ithyMdEWJxJeATROjnPiot8veJbzJFAV/fjUsqplWEeMuZ0/jrS2Zzfl1u3rQMRSQa59UDx5lVVUJDUwdPbW/maEeEuuoS3nvBTKaWhygt8k8Y6328ySfRuB64RlU/5n7+EHCJqn4q6ZibgZsBZs+efdHevSPL1z7c1kOtC46qKk/taObpHUeYNinEjMpiqsuKiETjbDvUTnN7mE9eMe+UB1MnMpFonPuf3c3imZX9gqWqyq83HeT06rKUG7nF4sqm/ccpD/kpDwVJ9T98pCPM9kPtiMDs6jIuOn1sKxWeSuJx5fndR5lXU97395dMLK7sONzOY68cIK7KeTMnM72ymNnVpUwuDbJ262E6wjEunz+VoF8I+HxMKgn03awEfD58PjjW1cvmA8c5d2Ylbzu79pTuFWVMfPJJNG4Arh4gGstU9e9SHT9egXDDMIxcJlPRyIVbjUYgeQXWLODAOM3FMAyjoMkF0XgBWCAic0WkCFgBPDbOczIMwyhIJnzKrapGReRTwBN4KberVHXzOE/LMAyjIJnwogGgqo8Dj4/3PAzDMAqdXHBPGYZhGBMEEw3DMAwjY0w0DMMwjIwx0TAMwzAyZsIv7hsuItIObE9zSCWQzQ33J/p4AFOBI1kaK5vzG4vvOhbjZvP8wcQ+h4V07nJhvFN1/qYCZao6dJ0DVc2rB1A/xPv3ZvnzJvR4mZyT8ZrfWHzXMfqdZO38TfRzWEjnLkfGOyXnbzifU4juqf8psPGyTTbnN1bf1c7hxBkv20z075v35y8f3VP1msH+KYWEnZPRYedv5Ni5Gx2n6vwN53Py0dK4d7wnMAGxczI67PyNHDt3o+NUnb+MPyfvLA3DMAxj7MhHS8MwDMMYI0w0chARqRORP4jIVhHZLCKfdu3VIrJGRHa65yrXPsUd3yEi3x4w1gdEZJOIbBSR34rI1FSfmU9k+fy93527zSLy1fH4PqeSEZy7t4vIBvc3tkFE3po01kWuvUFE7pYCKKGX5fN3h4jsE5GOU/olspnOZY9T8wBmABe61xV4NdQXAV8FPufaPwfc6V6XAZcDnwC+nTROAGgCprqfv4pXWnfcv2OOnL8pwOtAjfv5AeDK8f5+E+zcXQCc5l4vBvYnjbUeeAMgwG+Ad4z398ux87fcjddxKr+DWRo5iKoeVNUX3et2YCswE7gW78KFe77OHdOpqs8APQOGEvcoc3d5kyiAAldZPH9nADtUtdn9/HvgL8d4+uPKCM7dS6qa+JvaDBSLSEhEZgCTVPU59a6ADyb65DPZOn/uvedV9eCpnD+YeyrnEZE5eHcj64DaxB+Re56Wrq+q9gK3AJvwxGIRcN8YTnfCMZrzBzQAZ4nIHBEJ4P2j1w3RJ28Ywbn7S+AlVQ3jXSgbk95rdG0FwyjP37hhopHDiEg58HPgM6raNoL+QTzRuAA4DdgI3JbVSU5gRnv+VLUV7/w9AjwN7AGi2ZzjRGW4505EzgHuBD6eaEpxWMGkcmbh/I0bJho5irvg/xz4sar+wjUfdmY/7rlpiGGWAKjqa85FsBq4dIymPKHI0vlDVf9HVS9R1Tfg7Xm2c6zmPFEY7rkTkVnAL4EbVfU119wIzEoadhYF4BqFrJ2/ccNEIwdx8Yf7gK2q+o2ktx4DVrrXK4FHhxhqP7BIRBKblL0dz8ea12Tx/CEi09xzFfBJ4AfZne3EYrjnTkQmA78GblPVPycOdi6YdhFZ7sa8kQzOd66TrfM3rox3NoE9hv/Ay+RRPHfSy+7xTrxsnrV4d7trgeqkPnuAFqAD7y5vkWv/BJ5QbMTbl2bKeH+/HDt/PwG2uMeK8f5uE+3cAf8KdCYd+zIwzb23FHgVeA34Nm6xcT4/snz+vur+FuPu+Qun4jvYinDDMAwjY8w9ZRiGYWSMiYZhGIaRMSYahmEYRsaYaBiGYRgZY6JhGIZhZIyJhmGcYkTkEyJy4zCOnyMir47lnAwjUwLjPQHDKCREJKCq3x3veRjGSDHRMIxh4jaa+y3eRnMX4G1vfSNwNvANoBw4AnxYVQ+KyFPAs8BlwGMiUoG3nfXXRGQJ8F2gFG+R20dVtVVELgJWAV3AM6fu2xlGesw9ZRgj40zgXlU9D2gDbgW+BVyvqokL/h1Jx09W1Ter6tcHjPMg8M9unE3A7a79h8Dfq7enlWFMGMzSMIyRsU9P7AX0I+DzeEVy1rgCdH4gudbBIwMHEJFKPDH5o2t6APhpivaHgHdk/ysYxvAx0TCMkTFw/512YHMay6BzGGNLivENY0Jg7inDGBmzRSQhEB8AngdqEm0iEnQ1EAZFVY8DrSLyRtf0IeCPqoArmiQAAACXSURBVHoMOC4il7v2D2Z/+oYxMszSMIyRsRVYKSLfw9uZ9FvAE8Ddzr0UAP4Lr0RnOlYC3xWRUmAX8BHX/hFglYh0uXENY0Jgu9waxjBx2VO/UtXF4zwVwzjlmHvKMAzDyBizNAzDMIyMMUvDMAzDyBgTDcMwDCNjTDQMwzCMjDHRMAzDMDLGRMMwDMPIGBMNwzAMI2P+H5KSSMD52aJZAAAAAElFTkSuQmCC\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'][-200:].plot()" ] @@ -252,10 +2321,8 @@ }, { "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 +2341,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -298,9 +2365,32 @@ }, { "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 +2404,55 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2014 1600941\n", + "1991 1659249\n", + "1995 1840410\n", + "2020 2042389\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 +2467,32 @@ }, { "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 +2500,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -364,7 +2521,7 @@ "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..8320f73df3c678f43430b97a721d90cfa76d43e9 --- /dev/null +++ b/module3/exo1/syndrome-grippal.csv @@ -0,0 +1,1898 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202108],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2021-03-05T11:48:23+01:00 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