diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..c1d08938c86a6e4ef3494a58626e2388e38bcce2 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": [ @@ -28,13 +28,11 @@ }, { "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\"" + "data_path = \"./incidence-PAY-3.csv\"" ] }, { @@ -61,11 +59,978 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020262531422710034.018420.02115.027.0FRFrance
120262431419810485.017911.02115.027.0FRFrance
220262331553611350.019722.02317.029.0FRFrance
32026223112697864.014674.01712.022.0FRFrance
420262131400510391.017619.02116.026.0FRFrance
52026203138189441.018195.02115.027.0FRFrance
62026193102406610.013870.01510.020.0FRFrance
72026183119068174.015638.01812.024.0FRFrance
820261731480810600.019016.02216.028.0FRFrance
920261632192217127.026717.03326.040.0FRFrance
1020261532128616456.026116.03225.039.0FRFrance
1120261432993224335.035529.04436.052.0FRFrance
1220261333543229247.041617.05344.062.0FRFrance
1320261233155526214.036896.04739.055.0FRFrance
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1520261032858323633.033533.04235.049.0FRFrance
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1720260835937851437.067319.08876.0100.0FRFrance
1820260739239482032.0102756.0137122.0152.0FRFrance
192026063134736123217.0146255.0200183.0217.0FRFrance
202026053150982139724.0162240.0224207.0241.0FRFrance
212026043164364152918.0175810.0244227.0261.0FRFrance
222026033164566152843.0176289.0244227.0261.0FRFrance
232026023179098166260.0191936.0266247.0285.0FRFrance
242026013189561174025.0205097.0281258.0304.0FRFrance
252025523188897173943.0203851.0282260.0304.0FRFrance
262025513227262213214.0241310.0339318.0360.0FRFrance
272025503177308165277.0189339.0265247.0283.0FRFrance
282025493133049122068.0144030.0199183.0215.0FRFrance
2920254838260973827.091391.0123110.0136.0FRFrance
.................................
214319852132609619621.032571.04735.059.0FRFrance
214419852032789620885.034907.05138.064.0FRFrance
214519851934315432821.053487.07859.097.0FRFrance
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21501985143134545114400.0154690.0244207.0281.0FRFrance
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21521985123245240223304.0267176.0445405.0485.0FRFrance
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21541985103353231326279.0380183.0640591.0689.0FRFrance
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21601985043424937390794.0459080.0770708.0832.0FRFrance
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2165198451310172680242.0123210.0185146.0224.0FRFrance
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2173 rows × 10 columns

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+ "24 304.0 FR France \n", + "25 304.0 FR France \n", + "26 360.0 FR France \n", + "27 283.0 FR France \n", + "28 215.0 FR France \n", + "29 136.0 FR France \n", + "... ... ... ... \n", + "2143 59.0 FR France \n", + "2144 64.0 FR France \n", + "2145 97.0 FR France \n", + "2146 93.0 FR France \n", + "2147 80.0 FR France \n", + "2148 116.0 FR France \n", + "2149 149.0 FR France \n", + "2150 281.0 FR France \n", + "2151 395.0 FR France \n", + "2152 485.0 FR France \n", + "2153 544.0 FR France \n", + "2154 689.0 FR France \n", + "2155 722.0 FR France \n", + "2156 762.0 FR France \n", + "2157 926.0 FR France \n", + "2158 1113.0 FR France \n", + "2159 1236.0 FR France \n", + "2160 832.0 FR France \n", + "2161 459.0 FR France \n", + "2162 207.0 FR France \n", + "2163 190.0 FR France \n", + "2164 198.0 FR France \n", + "2165 224.0 FR France \n", + "2166 266.0 FR France \n", + "2167 219.0 FR France \n", + "2168 176.0 FR France \n", + "2169 163.0 FR France \n", + "2170 195.0 FR France \n", + "2171 308.0 FR France \n", + "2172 213.0 FR France \n", + "\n", + "[2173 rows x 10 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "raw_data = pd.read_csv(data_path, skiprows=1)\n", "raw_data" ] }, @@ -78,9 +1043,73 @@ }, { "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
19361989193-NaNNaN-NaNNaNFRFrance
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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120262431419810485.017911.02115.027.0FRFrance
220262331553611350.019722.02317.029.0FRFrance
32026223112697864.014674.01712.022.0FRFrance
420262131400510391.017619.02116.026.0FRFrance
52026203138189441.018195.02115.027.0FRFrance
62026193102406610.013870.01510.020.0FRFrance
72026183119068174.015638.01812.024.0FRFrance
820261731480810600.019016.02216.028.0FRFrance
920261632192217127.026717.03326.040.0FRFrance
1020261532128616456.026116.03225.039.0FRFrance
1120261432993224335.035529.04436.052.0FRFrance
1220261333543229247.041617.05344.062.0FRFrance
1320261233155526214.036896.04739.055.0FRFrance
1420261133009324854.035332.04537.053.0FRFrance
1520261032858323633.033533.04235.049.0FRFrance
1620260933899832459.045537.05848.068.0FRFrance
1720260835937851437.067319.08876.0100.0FRFrance
1820260739239482032.0102756.0137122.0152.0FRFrance
192026063134736123217.0146255.0200183.0217.0FRFrance
202026053150982139724.0162240.0224207.0241.0FRFrance
212026043164364152918.0175810.0244227.0261.0FRFrance
222026033164566152843.0176289.0244227.0261.0FRFrance
232026023179098166260.0191936.0266247.0285.0FRFrance
242026013189561174025.0205097.0281258.0304.0FRFrance
252025523188897173943.0203851.0282260.0304.0FRFrance
262025513227262213214.0241310.0339318.0360.0FRFrance
272025503177308165277.0189339.0265247.0283.0FRFrance
282025493133049122068.0144030.0199183.0215.0FRFrance
2920254838260973827.091391.0123110.0136.0FRFrance
.................................
214319852132609619621.032571.04735.059.0FRFrance
214419852032789620885.034907.05138.064.0FRFrance
214519851934315432821.053487.07859.097.0FRFrance
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214719851733405324366.043740.06244.080.0FRFrance
214819851635036236451.064273.09166.0116.0FRFrance
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21501985143134545114400.0154690.0244207.0281.0FRFrance
21511985133197206176080.0218332.0357319.0395.0FRFrance
21521985123245240223304.0267176.0445405.0485.0FRFrance
21531985113276205252399.0300011.0501458.0544.0FRFrance
21541985103353231326279.0380183.0640591.0689.0FRFrance
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2172 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202625 3 14227 10034.0 18420.0 21 15.0 \n", + "1 202624 3 14198 10485.0 17911.0 21 15.0 \n", + "2 202623 3 15536 11350.0 19722.0 23 17.0 \n", + "3 202622 3 11269 7864.0 14674.0 17 12.0 \n", + "4 202621 3 14005 10391.0 17619.0 21 16.0 \n", + "5 202620 3 13818 9441.0 18195.0 21 15.0 \n", + "6 202619 3 10240 6610.0 13870.0 15 10.0 \n", + "7 202618 3 11906 8174.0 15638.0 18 12.0 \n", + "8 202617 3 14808 10600.0 19016.0 22 16.0 \n", + "9 202616 3 21922 17127.0 26717.0 33 26.0 \n", + "10 202615 3 21286 16456.0 26116.0 32 25.0 \n", + "11 202614 3 29932 24335.0 35529.0 44 36.0 \n", + "12 202613 3 35432 29247.0 41617.0 53 44.0 \n", + "13 202612 3 31555 26214.0 36896.0 47 39.0 \n", + "14 202611 3 30093 24854.0 35332.0 45 37.0 \n", + "15 202610 3 28583 23633.0 33533.0 42 35.0 \n", + "16 202609 3 38998 32459.0 45537.0 58 48.0 \n", + "17 202608 3 59378 51437.0 67319.0 88 76.0 \n", + "18 202607 3 92394 82032.0 102756.0 137 122.0 \n", + "19 202606 3 134736 123217.0 146255.0 200 183.0 \n", + "20 202605 3 150982 139724.0 162240.0 224 207.0 \n", + "21 202604 3 164364 152918.0 175810.0 244 227.0 \n", + "22 202603 3 164566 152843.0 176289.0 244 227.0 \n", + "23 202602 3 179098 166260.0 191936.0 266 247.0 \n", + "24 202601 3 189561 174025.0 205097.0 281 258.0 \n", + "25 202552 3 188897 173943.0 203851.0 282 260.0 \n", + "26 202551 3 227262 213214.0 241310.0 339 318.0 \n", + "27 202550 3 177308 165277.0 189339.0 265 247.0 \n", + "28 202549 3 133049 122068.0 144030.0 199 183.0 \n", + "29 202548 3 82609 73827.0 91391.0 123 110.0 \n", + "... ... ... ... ... ... ... ... \n", + "2143 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2144 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2145 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2146 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2147 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2148 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2149 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2150 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2151 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2152 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2153 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2154 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2155 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2156 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2157 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2158 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2159 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2160 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2161 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2162 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2163 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2164 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2165 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2166 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2167 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2168 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2169 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2170 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2171 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2172 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 27.0 FR France \n", + "1 27.0 FR France \n", + "2 29.0 FR France \n", + "3 22.0 FR France \n", + "4 26.0 FR France \n", + "5 27.0 FR France \n", + "6 20.0 FR France \n", + "7 24.0 FR France \n", + "8 28.0 FR France \n", + "9 40.0 FR France \n", + "10 39.0 FR France \n", + "11 52.0 FR France \n", + "12 62.0 FR France \n", + "13 55.0 FR France \n", + "14 53.0 FR France \n", + "15 49.0 FR France \n", + "16 68.0 FR France \n", + "17 100.0 FR France \n", + "18 152.0 FR France \n", + "19 217.0 FR France \n", + "20 241.0 FR France \n", + "21 261.0 FR France \n", + "22 261.0 FR France \n", + "23 285.0 FR France \n", + "24 304.0 FR France \n", + "25 304.0 FR France \n", + "26 360.0 FR France \n", + "27 283.0 FR France \n", + "28 215.0 FR France \n", + "29 136.0 FR France \n", + "... ... ... ... \n", + "2143 59.0 FR France \n", + "2144 64.0 FR France \n", + "2145 97.0 FR France \n", + "2146 93.0 FR France \n", + "2147 80.0 FR France \n", + "2148 116.0 FR France \n", + "2149 149.0 FR France \n", + "2150 281.0 FR France \n", + "2151 395.0 FR France \n", + "2152 485.0 FR France \n", + "2153 544.0 FR France \n", + "2154 689.0 FR France \n", + "2155 722.0 FR France \n", + "2156 762.0 FR France \n", + "2157 926.0 FR France \n", + "2158 1113.0 FR France \n", + "2159 1236.0 FR France \n", + "2160 832.0 FR France \n", + "2161 459.0 FR France \n", + "2162 207.0 FR France \n", + "2163 190.0 FR France \n", + "2164 198.0 FR France \n", + "2165 224.0 FR France \n", + "2166 266.0 FR France \n", + "2167 219.0 FR France \n", + "2168 176.0 FR France \n", + "2169 163.0 FR France \n", + "2170 195.0 FR France \n", + "2171 308.0 FR France \n", + "2172 213.0 FR France \n", + "\n", + "[2172 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2118,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2148,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,9 +2173,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "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", @@ -199,10 +2201,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "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'] = sorted_data['inc'].astype(int)\n", "sorted_data['inc'].plot()" ] }, @@ -215,9 +2241,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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NhFs4deNy3T2lojFDRKOGYDhqB8LdBNXkzwjRqOEbj7zN1Xe+TEv3YLanM2vp6AtSXZRcNFwuId/rUveUjZM11a2WhjITODGMAp+VcquWRma449kD/OptqyPwSRWNhJzuC1Jdkjie4VDo82gg3MYJhGv2lDIjOHdr+R4XPreLoYghGtWS0+nmp2+cYM2CYmCkM50ynjN9oaTptg7aU2MEdU9ZqGjMEAFbNAp8VkwDtE94JvAHwjQsrwRGOtMpowmFo/QMDlE1gXsKtHufgzFmWDR6cjx7SkVjhhi2NLxu8mzR0LTb9BIMRwhFotRXFODzuGhXSyMuZ/rthX0puafU0gAIDEVxHAPqnlJmBOduLVY0NO02vfQHrWtcnOehtjRP3VMJOO2fuO6UQ77XPWwl5zL+4IhQqHtqAkRkiYj8WkT2icgeEflje7xSRLaKyEH7b0XMPjeLyCEReU9ErogZ3ywi79iv3Sl2yzARyRORh+3xN0Rkecw+N9jvcVBEbkjnyc8kwfCIaPiGLQ39MqYTJ1BZnOehtiRf3VMJcBb2pSwaenMzfEPicYlaGilsEwa+aYxZB1wIfE1E1gPfBp4zxqwBnrP/jf3aFuAc4ErgLhFxVhDdDdwErLEfV9rjNwJdxpjVwA+B2+1jVQK3AB8ALgBuiRWnucRgyM6e8rqHF1SppZFeHJ9zUZ6H2tJ82vxqacRjRDQmdk/le1yaHs7IDUldeT49amkkxxjTaozZaT/3A/uAxcA1wAP2Zg8A19rPrwEeMsYEjTFHgUPABSJSB5QaY7YZq1P9T8bs4xzrUeAy2wq5AthqjOk0xnQBWxkRmjnFcCDcq4HwTOGIRkm+hwWlebSrpTEKYwy/+a/b+Osn9gCpWRoFPreu02DEPbW4vAB/MEw4h7+7k4pp2G6j84E3gFpjTCtYwgIssDdbDDTF7NZsjy22n48dH7WPMSYM9ABVSY415xgJhFspt6CWRrrps7/Yxbal0RcMDwuJYpUD2X60k7MXlvBXn1pPUd7EVYTyPRrTgBH31OLyQgB6A7n7uUpZNESkGPgF8CfGmGQ1GiTOmEkyPtV9Yud2k4g0ikhjR0dHkqllj1HZU17NnsoEffYXu8gOhAOaQRWD8xn8zPmLufGSFSntk+91ERjSz6lzQ1JfUQBA90Dupt2mJBoi4sUSjJ8aYx6zh9tslxP233Z7vBlYErN7PdBij9fHGR+1j4h4gDKgM8mxRmGMuccY02CMaaipqUnllGacYIxoqKWRGRy/c0m+hwUl+YCu1YglNoMvVfLVPQWM3JAMi0YOB8NTyZ4S4D5gnzHmH2JeegJwspluAB6PGd9iZ0StwAp4b7ddWH4RudA+5vVj9nGO9XngeTvu8QxwuYhU2AHwy+2xOcdgvMV9KhppZbR7yrY0NBg+jPMZdJorpUK+x00oHM356gXODcliWzRyOYMqlU/PxcCXgXdEZJc99pfA94BHRORG4ARwHYAxZo+IPALsxcq8+poxxrlV+SrwY6AAeNp+gCVKD4rIISwLY4t9rE4R+S7wpr3drcaYzimea1ZxTPx8j0tTbjNEXzCCiLUgbUGpY2moaDg4i/QKfKmHMh2rJBiODrd/zUX6g2HcLqHW/lzlcgbVhKJhjHmF+LEFgMsS7HMbcFuc8UZgQ5zxALboxHntfuD+ieY52xkciuB1Cx63azjlVmMa6aUvEKbY50FEKMnzUOB1awZVDFNxTxXY8bfBoUhOi0ZfMEyRz01FoZWmrDENJeM4vTQAXRGeIfqCQ8MZQSJipd36VTQcAlNxT9mf2VzPoPIHwpTkeynNt67dvS8f5XN3v5aT10VFY4YIhkdEw6e1pzJCfzBCcf7ID2JJvgd/IHfdCGMZdk9NJhCuogFY7qmiPDcet4uGZRVEjWHH8S52HO/K9tRmHBWNGWIwNNLqVS2NzOAPhimOWXtQnOcZzq9XYgPhkxEN67Oa62m3fTGfrUe/+kG2fuPDuF3CtsNnsjyzmUdFY4YIDEWHv4C6Ijwz9AWGxomGLu4bYdBupjSplFun5WuOWxp9wTDF+d7hfxfneTh3cRmvH1HRUDLE4NCIpeGs0wjm+N1buukPRkaJRlGeh37tOjfM1CwNO2lDRYPivNHX7aJVVbzd3J1znQ1VNGaIwaGRmIbH7cLtEkKR3P4iphvrbnCMaKilMczAVBb3OTGNHE8P7x/j+gS4aGUVQxFD47HcimuoaMwQwRjRAMva0JhGevGreyopg0MRfB7rhiVVHOvYqdKcq/QFwuNqdW1eVoHHJWzLMReVisYMEeueAiuuoaKRPowx9IfGuKd8HgJD0ZyuSBpLIBSZlGsKYgPhuWtpGGPoC423NIryPKytK+Hdkz1Zmll2UNGYIWID4WBlUGnKbfoIDEWJRM0Y95T1A9mv7UoByz01mXRbUPcUWJ8fY6wU7rGsW1jKvlZ/FmaVPVQ0ZoixK2rV0kgvTr+DojHuKUDjGjZTWdU9sk4jdz+rvXadqdKY7CmHtXWlnO4L0pFDi0hVNGaIQGhMTMPjIqhuk7ThrMcoGZM9Zb2mogGj1wqlirqnrNXgACVxRGNdXQkA+1qTdYuYX6hozBCB8PhAuKbcpg+nCmk8S0OD4RaDQ5OPafjcLkRyXTQsSyORewpg/ykVDSWNhCNRhiJm1F1enteti/vSiD+mLLrDiKWRuz94sQyMsXZTQUQo8OZ2975eWzRKC8ZbGhVFPhaW5udUXENFYwYI2LGLUYFwt4tQDgcX082weypOIFwtDYvA0OTdU2DFNXJ5Rbg/prlXPNbVlah7Skkvg3EKxfk0eyqt9GkgfEKm4p4CqwdMTgfCJxSNUg619/HQ9hO0dA/O5NSygorGDOCY9nmx7inNnkorIzGNkWs87J7KsTIPiRgITa0nRr4vx91TSbKnAD64qhoDfPuxd7jliT0zOLPsoKIxAzjukdjMHk25TS9O+82ygtFF5UDdUw6BUIQCb+q9NBzyPe6ctjT8gTA+t2u4OvVYLllTzZ7vXMEn31fH7ubuGZ7dzKOiMQMM36nE/KCpeyq9dPZbJUScrohgWXNul6h7CmtV88BQZFKtXh3yva6ctjT8gSFK8q2OkInI97rZtLSCtt7gvO9Lr6IxA/TEMW/VPZVeugZCVBSNdh+ICEU+t2ZPAUMRQyRqJtW1zyE/57OnwgnjGbGcu7gMYN6XFVHRmAGcQFppwRj3lKbcpo3O/hCVdv/mWLRoocVU+oM7FHjdOV1GxB8YiptuO5b1i0oRgXdPzu9MqglFQ0TuF5F2EXk3ZuyvReSkiOyyH1fHvHaziBwSkfdE5IqY8c0i8o792p1i23oikiciD9vjb4jI8ph9bhCRg/bjhnSd9EzTG8ffnufJ7bu3dGNZGuNFQ8ujWzgps1NOuc3h+l3+FC2N4jwPK6qLeEctDX4MXBln/IfGmI324ykAEVkPbAHOsfe5S0ScT+ndwE3AGvvhHPNGoMsYsxr4IXC7faxK4BbgA8AFwC0iUjHpM5wFOIuDYheelRd4GQhFCObwHVw6SWRpFKmlAUytAZNDnjfHU24HhyjJm9jSAMtFlfPuKWPMS0Bnise7BnjIGBM0xhwFDgEXiEgdUGqM2WaMMcBPgGtj9nnAfv4ocJlthVwBbDXGdBpjuoCtxBevWU/PoBWk9bhHLrdzV9w9MJStac0ruvrjWxrqnrIYmEKrV4cCrzunb278gfAo13IyNiwqo7UnwOm++VvAcDoxja+LyG7bfeVYAIuBpphtmu2xxfbzseOj9jHGhIEeoCrJseYcvYNhSseYt5X2D1xnfygbU5qTGGPYf6qXvS2jfcaBoQj9oQgVhePvBovy3OqeYmSt0JQW93lzO+W2NzAUt1hhPM5ZZNWieu/U/C0rMvlUCou7ge8Cxv77A+B3gXg5aSbJOFPcZxQichOW64ulS5cmm3dW6I0TSHNEo0tFY0JeO3yau184zIE2P229QUrzPez+6+Fw2bC1ljimkbt3yQ5Oq9cpLe7zunK2jEg4EmUgFEkppgGwurYYgINtfi5eXZ3JqWWNKVkaxpg2Y0zEGBMF7sWKOYBlDSyJ2bQeaLHH6+OMj9pHRDxAGZY7LNGx4s3nHmNMgzGmoaamZiqnlFF6BxOLxhkVjQn56Rsn2Hm8iw+uquZjaxfQGwiPCsw61ppmTyUmXimbVCnwuolEDUM5mO3nfHYSrQYfS01xHmUFXg6292VyWlllSqJhxygcPgM4mVVPAFvsjKgVWAHv7caYVsAvIhfa8Yrrgcdj9nEyoz4PPG/HPZ4BLheRCtv9dbk9NufoGRwa96GrsH/gugZUNCaitXuQ85aU88MvbOSKc2oBONM/4jN2rmGy7CnrI5W7DGdPTdE9BblZHr13MHndqbGICKsXFHNoHovGhFdCRH4GfASoFpFmrIymj4jIRix30THgKwDGmD0i8giwFwgDXzPGOJ+0r2JlYhUAT9sPgPuAB0XkEJaFscU+VqeIfBd4097uVmNMqgH5WYU/EB6VbgtQbvvfNaYxMa09AT64yjL1h8W2f4h6O5I2bGkkCISHo4ZgODqlIPB8wbE0ppY9Ze0zOBRJ2bc/X+gd7qWR+nmvWVDM1r1tmZpS1plQNIwxX4wzfF+S7W8Dbosz3ghsiDMeAK5LcKz7gfsnmuNsx3JPjb7UXreLsgKvxjQmIByJ0tYbYFF5PgBVxY5bL46lkcA9BVal25wWjWms03D2ycWmYU5Z9LGJLMlYvaCYh95s4kxfkKrivExNLWvoivAME4ka/MFwXJ9oZZGPTk25TUqbP0jUQF1ZARDfredYGuVxs6e0EROMBMKnIpy53PI1WQOmRKyptVrAzlcXlYpGhvEn6/pV6KWzf/7mc6eDVrs/QZ1jaRRZd26d/SNi29UfojTfg9c9/uNcbJdKdzr75SqBoQguIWGl1mTke0bcU7nGRA2Y4rFmgZVBdahDRUOZAk4gbWxMA2xLoz+3f8wmoqXHqhi6yLY0SvI9uF0ySmy7BobixjMAygt1ESVYP35FvuSVWhPhBM9zca2GfwoxjbqyfIp8bg62qWgoU2DYvI1zp1JR6NOYxgSMtTRcLrEttBhLI0HdKYAqXUQJwOm+IDUlU/OvO8HzXGxmNdnsKbAyqFbWFHP0dH+mppVVVDQyTE+cXhoOlcU+OgdCOZ8OmozWngDFeZ5RMaHKotFi29kfihsEh5E03FxPbe7wB6meomjkcttcf2CIfK8rruszGRVFvuHv/nxDRSPDxKtw61BZ6CMUjg4HKZXxtHQPUleWP2qsotA3ynLoSiIa5QWa2gzQMQ1Lw0kmcFrq5hL9ofCU0oxL8z3DXob5hopGhkmWfVGhrpMJae0JsKi8YNRYlW2hgRXgPd0Xorokvmh43C7KC705f407/EFqppj+WZTDbXP9gfCo6tSpUlrgHb5hnG+oaGQYxycaL6bhlL3I9R+0ZLT2DA6v0XCItTS2HT5DKBLlopVVCY9ROcYyyTUCQxH8gfDULQ0nppGDacv9wSmKRr6X3sH5WYlARSPD9AwO4RIoitNmc9jSyHF/eyKCYcuKcNZoOFQW+egeCBGJGrbua6PI5+aiVYlFo6LIl9MxjQ6/lWk2VdHwuF3ke105GQjvC4Ypypv82pbSAg+hSJTgPGzprKKRYZwKty7X+FTHKq10m5STXVbm1Fj3VGWRj6iB7oEQz+1r40Nn1ZDnSfzFrij0caYvd69x+zRFA6A4z5uT7qm+YGTKlgYwL11UKhoZpjdOsUIHjWkkZ4/dN2PtwpJR486ajJcOdtDWG+QT62uTHqdKLQ2AKcc0wFokmZOB8Km6p+wY5nwMhqtoZJgzCTrKgRXncAnzNjVvurxzsgef28VZtaNFw8mU+vGrx3C7hI+evSDpcSqKfHT1D81L/3IqdNhd5BZMw9LI1V7rlntqKpaGtU/P4Py7ZioaGeZUT4CFpfG/rCJCcZ5nuFSBMpp3mntYW1eCb0zpC8fSeLu5h2s3Lk4oyiPbewlFovTnaGpzhz+ISPwqwKmSq73W+4JhiiexsM9BLQ1lypzqDbCwND/h6/M5NW86GGN4t6WHDYvLxr3m/Pi5XcIffmz1hMeqdOpV5Whco8MfpKrIN6pH/WQMOci+AAAgAElEQVQpzvPkXCA8FI4SCkcpjpPEMhHOuqz5+N1W0cggA6Ew/kCY2rLEolGS752XdyPT5fiZAfyBMOcmEA2PS7hm4yKWVxdNeKzKInuBX47GNTr8QaqnWaK7OAfb5jruuClZGk4gfB56EabaI1xJgVN2sb2klka+Z15+sKbLOyd7AOKKRr7XzcNfuZCzF5amdKyRxk05KhrTWA3uUJSDblTHHTeVmIZTq0otDWVSnOpNQTTUPRWXREFwh83LKlPOaqnM8Sy10/7pi0ZxnjvnAuGOaJRMQTTyvW7yPK556UVQ0cgg7b121koS0SjJz707uFQ43N7HypqicUHwqZDLomGMsUqIpMHSGByKEInmTgbadCwNcG4I5993W0UjgwxbGkliGqUa04hLmz9AbRKxnQzFeR68bsnJmEbP4BChSHRaazQgptJtDgXD+6YR04D5W7RQRSODnLLLeidzo5TmW6mM0Ry6g0uF9t4gtQlSlSeLiORs75Jme1V9fUXBBFsmJxcr3Q4HwqdlaeSgaIjI/SLSLiLvxoxVishWETlo/62Iee1mETkkIu+JyBUx45tF5B37tTvFbiEmInki8rA9/oaILI/Z5wb7PQ6KyA3pOumZoq03MOEPX2mBF2OgL4fu4CYiEjWc7guyoCQ9lgZYLqozOS0ahdM6Ti721HAEcsruqXzvvExyScXS+DFw5ZixbwPPGWPWAM/Z/0ZE1gNbgHPsfe4SEaco0N3ATcAa++Ec80agyxizGvghcLt9rErgFuADwAXALbHiNBc41RtI6pqC+Z1lMVXO9AeJGliQJksDxjduyhWauwaA6VsaxTlYHr0vDZaGfx5+rycUDWPMS0DnmOFrgAfs5w8A18aMP2SMCRpjjgKHgAtEpA4oNcZsM1Yth5+M2cc51qPAZbYVcgWw1RjTaYzpArYyXrxmNW09E/vlnXxuDYaPMJxAMM3gbSwVRb6cjGk0dw1SnOeJ2wRsMhQNWxq5s1ZjOBDum3yVW9CYxlhqjTGtAPZfp/jPYqApZrtme2yx/Xzs+Kh9jDFhoAeoSnKsOUE0amj3B5Om20JMuYF5eEcyVUZKeafRPZWzMY0B6isKsL3BU8YpD55LlkZ/MEyB1z3llfRO9tR8q3mW7kB4vE+mSTI+1X1Gv6nITSLSKCKNHR0dKU0005zpDxGOmgktDcc9Fc/S2Hb4DLf+ai/BcO7c3QG0+62ss3RaGpVFProHh3IqZRQsS2O6rinIXffUVOMZYHkR5mNPjamKRpvtcsL+226PNwNLYrarB1rs8fo446P2EREPUIblDkt0rHEYY+4xxjQYYxpqamqmeErppc1Ot03VPTXWjP3Ri4f5rX97nftfPcrz+9rj7TpvcdxT011bEEtlkQ9j9+DIFYwxtmhMLwgOORoID0aGb+qmQmnB/IxXTlU0ngCcbKYbgMdjxrfYGVErsALe220Xll9ELrTjFdeP2cc51ueB5+24xzPA5SJSYQfAL7fH5gSOi2WiYG48S8MYwz8+e5BLVldTU5LH/911MnMTnYW0+4OUFXjJ907NlxwPpxJuLvXV6Bkcoi8YToulkYt9wvsCQ1Pq2ufg3BDOt9YHE8qoiPwM+AhQLSLNWBlN3wMeEZEbgRPAdQDGmD0i8giwFwgDXzPGOL6Vr2JlYhUAT9sPgPuAB0XkEJaFscU+VqeIfBd4097uVmPM2ID8rMXpYTDRoqqSOB2+TveFGByKcNnaBaxZUMJ/vH6cnsGhaQcz5wrt/kBaXVMw0iXxTF+I1cnbb8wqXjzQwcE2P3VlBVx97sJJxSbSlW4LkOdx4XFJTlka/VPs2ufgxCtzTjSMMV9M8NJlCba/DbgtzngjsCHOeABbdOK8dj9w/0RznI04lsZE1UV9Hqv/cqx7qslOk1xSWcj5Syu4/9WjPPPuKX7z/UsSHWZe0e4Ppm01uMNw0cI5Zml885FdnLZLuj9004VcuDJxL/SxpCvdFqwFkrnWiKkvGGZR+dQ/h+W2aHQPzC/R0BXhGeJ0X5CSPA8FKaTrleZ7R7mnnDvEJZWFvK++jCWVBWzd15axuc422nuDabc0RupPzZ0vcCRq6OwP8TsfXE5JvoeHtp+Y1P5NnfbnKA2WBlhxDX+OicZ0LI3hz9wcu1GZCBWNDNHhD1Kd4g9facHo+lNNnSN3iCLC+Usq2Gv3y57vDBfYS+PCPoAKu6fGXLI0egeHiBpYWlnIZ85fzFPvnppUIL+pa4CSPM9wQHa6FM2DSrf/tbuV5/endgPWP83sqflaKFNFI0N0+IMpF4kbW+m2uWuA6mIfhXbHsPWLSjnZPZgT6wy6B6wCe+ksIQKQ53FTnOfhzBzq3ucIXEWRly3vX0ooHOUXO1NPitjV1M26RaXTXqPhMNcbMQXDEW5+bDffe3p/Stv7p9jq1aHQZ5VHn2/fWxWNDHG6L0h1SWo9mUvzRxc2a+ocnSZ5ziKr2dDe1vlvbbRlYI2GQ0WRd05ZGl22L7y80Mf6RaVsWlrOj187Sjgycd5/fzDMnpZeLlhembb5zPUuky8fOE1vIMyBtr4Jg9PTafXqICLzsuaZikaGmKylEVvYrKlrgCWVsaJhda/LBRfVnpPWOSZqvjQdKgt9c8pV4LiinCD+H3x4FU2dgzy5u3XCfXee6CISNbx/RfpEo7Y0b3j90VzkV7tHlnm9daIr6bbTLYvuMB9rnqloZIDAUITeQDjlxWmlBV789h1cJGpo6R5kSUzGS2WRj7qyfPa09GRkvrOJnSe6KMnzsGZBcdqPXVHkm5OWRqUtGh9fV8vZtSX8y68PTVhK/82jnbgENi0tT9t8FpYV0O4PMpSCpTPbGAxF2Lq3jWs2LsLtEnYeTy4aTqvm6WbxqaWhpITzIZko3dahJN8zXKPmVG+AoYgZZWmA5aLakwOWxs4T3WxcWo7LlR4/fCyVRb65FdOwP0fldhDf5RK+8uGVHGzv462m5D962491sn5R6fA6oHRQV5aPMSPp5HOJZ/acYiAU4QvvX8K6uhIaJxCN1h4r86xugirVE1FZNLes21RQ0cgAIwX3UhONZZVFhCJRDrb3DWdOjU2TXF9XyuGOPgZDEQJDEX704mFaugfTO/Es0xcM896pXs5fmpkK+JWFc83SCOFxyage1R86yyqT03gs8Y9eMBzhrRPdXLA89TUdqeCU+W/tmXsuqge2HWNFdREXrqhi89IKdjV1J40NOedYVza9NS7zsfmXikYGSHVhn8PH1lpLlLfubePEGWdh3+gP6/pFZUQN7D/Vy7P72vje0/u54o6X+MWO5nlTRXN3UzdRk16XSiwVRT4GbNGdC3QNDFFe6B2V/VRdnMfyqkJ2JLlTPtLRTzAcZWOar6Nz131qjonG7uZu3jrRzfUXLcPlEjYvr2QgFGH/KX/CfVp7BnG7ZNr1z6qKfPiD4XlVdFRFIwOc7pucpbGwLJ/31ZexdW8bP9/RxMLSfBaXjxYNJ4NqT0sv+1p78biEs2tL+ObP3+YrD+5gYJZ3/ktF2Hbawcnzl2TG0qiaY3nz3QMhygvHZ+BtWlbBzhNdCa/pCdtaXV6VnkV9DnWl1mfScd3MFR547TiFPjef22zVTF270EqyOHK6P+E+rd0BakvycE/TTerUPJtPq8JVNDKAY2lUFaeWcgtWkHNXUzdvHuvi//voqnE1/OsrCigr8Nqi4WdVTTEPf+Uivn3VWv5nbxs/b2xOcOTsY4zh2rte4xuP7EoawN3V1MOqmiLKCjNTY6tijolG10BoOAgeS8OySk73hYbFYSyOtbqssiit8ykt8FDgdc8pSyMaNWzde4qrz60bLiDouH6bElw/sNxTdeXTL78SW/NsvqCikQFO91lVWvM8qVfI/MT6WgAWlubzmw3ja0yJCOvrStnb2svell7WLyrF7RL+4MOrOLu2hP9KIQ0zW+xr9fN2UzeP7TzJ9//nvYTbHT/Tz6qa9GdNOSyy/dNHk9xhzia6+i331Fg2L7MssURxjROdA5Tme9IuviJCXVk+rXMo7fZgex+9gfComl0FPjc1JXkcP5PE0ugZnHYQHEZWhc+lWNpEqGhkgA5/cNK+0LULS/j0eYv4q0+tT1gSfP2iUva29HCqN8C6upF1DJ98Xx1vHu+ctXeAz9l1s67asJC7Xjgc90fbGCvVeHEaiuslYl1dCYU+N28emxvFkrsGQsNrNGJZs6CYkjxPwgygE50DLE2za8phYVn+rP2cxaPxuPV/3bBstMtzaWVhQkvNGGNZGmkUjfmUdquikQHaeidf2ltE+Kcvns8n31eXcJtzFpUyFLHcO+vqSofHrz63DmPg6Xdnp7Xx7P52Ni4p51tXrgXg1UOnx23TMzhEfygyLpaTTjxuF5uXVbD96OwXDWMM3QNDw+m2sbhcwjmLSznQFj+Q29Q5wNJKFQ2AHce6qC72sWyMiC6rLBwu6DiWroEhguHotDOnIMbSUNFQknGyezAjP37OynAYLRqrFxSzdmEJT79zKu3vOV3a/QHeburm4+sWsLyqkNrSPF4/cmbcdk5l30yKBsAFyyvZf8o/6zv4DYQihCLRuDENsPzyJ7vG/+hFola3vrHrfNJFXVk+bb2BOdM2t/F4F5uXVYyrv7WkspCWnsG4WU1OKns6LI3yQh8iamkoSQiFo7T7gyzKwI/fqpoi8jwuFpTkjUvnvXBlFXtaemZd+u0L71k92y9bV4uIcNHKKl4/0jluniftL2om3VMAF9hlNZKtc5gNdI0pITKW+opC2vyBcT96bb0BQpFo2oPgDgvLCghHDWf6Zv8Cv3Z/gBOdAzQsG19KZWllIcYQV3gdSyodgXC3Sygv8KqloSSmrTeAMZm5Y/a4XTQsr+D9cYrQraopoj8Uoa13dn2Zdzd3U5LnGU5zvHBlFaf7ghzuGB3XODlDlsZ5S8rxuV1sn+Vxja5+p1hh/GB2fUUBxlipobE4fvpMuafq7LIax84kzjyaLTilQjYvH5/C7cR84sU1nJTiRWmwNMDK2psrGXupoKKRZpw75kxYGgD3Xt/AD37zvHHjq+xaTYfa+zLyvlNlb0vvqPLcF62ysli2jXFRneweJN/rGvYBZ4p8r5uNS8rjushmEyNl0RNZGtbnq3nMnXKmRWNFjWXBfPHe17n1V3sz8h7pYm9LLy6xqimMxbk+8dJuW3sCeFxCVYqLcyeiqsjHmf7ZdTM3HVQ00szwHXOG3CyFPk/c7KrVdqrq4Y7ZIxqRqGH/Kf+oL+3SykLqKwq4Y+sBft7YNDzeYseB0tX7IRkfXF3FOyd7ZnVcY8Q9lcDSsH/0nJauDk2dA7hdQt002pQmY1VNMU/90aVcvr6Wf3/t6Lj3n03sP+VneXVR3O9LTXEeeR4Xx+NYTM1dgywsy5/2wj6HBaVzK3lgIlQ00kw6g2iToaYkj5I8z6yyNI6f6WcgFGH9ohHREBHu+XIDy6oK+fNHd/NOs1W592T3IIvT1JZ0Ii5dU4Mx8Oqh2WttDBcrTBDTqC3Jw+OScZbGkY5+FpXn43Vn7qu9flEp//uT6wD4xY7Um0LNNO+1+YfdomNxuSRh2u2xM/2sqE5fTGhJRSEnuwfnTPLAREzrkyUix0TkHRHZJSKN9liliGwVkYP234qY7W8WkUMi8p6IXBEzvtk+ziERuVPs200RyRORh+3xN0Rk+XTmOxO09AxSXexLuNYiU4gIqxYUzypLw2kaNdY9sH5RKT/67c0AvHHU+uE+2TXI4gzdHY/lvPoySvI9vHywI+Pv1d4b4Df/dRvHJrmgsLU3gM/tSpg95XG7qCvPH3WnH4kaXjt8Om7MK93UVxRy8apqfr6jacIy7dlgIBTmROcAZ9eOd005rKwpGld/yhjD0dP9LK9Kn2gsrSxkKGLmdC+SWNJxO/JRY8xGY0yD/e9vA88ZY9YAz9n/RkTWA1uAc4ArgbtExPllvRu4CVhjP660x28Euowxq4EfArenYb4ZpbkrM+m2qbCqZpaJRotVI2tN7fhV3gvs+lpvnehmMBThTH9oxq6bx+3ig6uqePng6Yxnmz38ZhPbj3bywnvtk9qvtTtAXXl+0hLx9eWFoyyNXU1ddA0M8dGzF0x5vpPhuoZ6mrsGef3o7LPYDrT1YQysrUvczOv9yys50Tkwqlp0Z38IfyCcXkvDLj6aaDHhXCMTNuw1wAP28weAa2PGHzLGBI0xR4FDwAUiUgeUGmO2Gesb/JMx+zjHehS4TGbC6T0NWroHMxYEn4hVC4po6w3Ompace1t7Wb2gOGE5Fafw3kyl28Zy6ZoaTnYPZrSkiDGGR3daNcGSVVSNR0v34HDZk0TUVxSMEo3n97fjdslw+fRM8/F1tbgE3jgy+zLR3jtlWbmJ3FMwkpTxRozoOZ+HdLunIHmtq7nEdEXDAP8jIjtE5CZ7rNYY0wpg/3VuexYDTTH7Nttji+3nY8dH7WOMCQM9wLgmASJyk4g0ikhjR0fmXQ6d/SF+9OLhcS4HqxRGIGui4QTDj3Rkv7aSMYY9do2sRGxaWk5rT4BfvmX996+ozlzdqbFcuqYagFfirE5PF9uPdnL8zAA+t4t9UxCNiYLZY9dqPL+/g83LKigryEzBx7EU5XlYvaCY3c3dM/J+k2H/KT+FPve4vjSxrFtYSlmBl9cPj4ieIxrL0ygai8oLEIGmOGtC5iLTFY2LjTGbgKuAr4nIh5JsG89CMEnGk+0zesCYe4wxDcaYhpqazN9l/cuvD/G9p/fzke+/wC2Pvzvs0+0eGGJwKJI90bDTbve3Zr/DX3PXIB3+IOfVJ+7p4BTeu+uFwzQsq+C8+rKE26abZVVFLK0s5KUD6RWNB147xgOvHcMYw7+/eoziPA+f27yYA6f8KQdCw5Eop3oDE7rrYtdqnOoJsK+1d7g3y0zxvvpydjfPvkWl753ys6a2JKl7z+USLlhRyWtHTvPHD73F7z3QyLEz/XhcMpzSnA58HheLygponieWxrS6phtjWuy/7SLyS+ACoE1E6owxrbbryXHmNgOx5VvrgRZ7vD7OeOw+zSLiAcqArNrCgaEIj+1s5iNn17CkopAHth0nHDX8zbUbRtwsWRKNFdVFVBb52H60ky0XLM3KHBycdRAfWJk4KLuurpR8r4vAUJS/uGrtjKTbxnLJmmqe2NXCUCSalmyj9t4Af/NfexmKGJ7f386LBzr4xifOYmFZPj/b3sSJzoGU3B5t/iBRM/FaH6ee0sH2vuF+Kpesrp72eUyG8+rLeHRHMye7B6mfoey3VDjY3sdHz574BvKilVVs3ds2XIfq+Jl+llQWpj37rL6iQGMaIlIkIiXOc+By4F3gCeAGe7MbgMft508AW+yMqBVYAe/ttgvLLyIX2vGK68fs4xzr88DzJsu3NM/sOUXXwBA3XrKCW685h9+/dAU/feMEO090sdfu4b2qJjMlHCZCRLhwZSWvHzmT9Tu/7Uc7KS/0ctaCxD5lr9vFZWtr+fR5i2Yk42csH1pTTV8wzK6m9LhX/uONE4SjhgtWVPLigQ4+eW4dX//oatYttFx0qVqArSkuEN2wuAyfx8XrR87w5rFOivM8o2qSzQTn2pakkzo9GxgMRejwB1mWQgbUR86uocjn5qsfWYXXLRxs70t78yqwal01zeI1LZNhOpZGLfBL++7QA/ynMea/ReRN4BERuRE4AVwHYIzZIyKPAHuBMPA1Y4xTOOerwI+BAuBp+wFwH/CgiBzCsjC2TGO+02YgFOb+V4+xpLKAi1dVIyJ87aOr+bdXjvLywdOcODNAVZFv2E2UDS5cWcVT75yiqXMwY+WxU+GNo51csLwyqXsA4F++tClrAnfRqmpcAi8f6Ji2aAWGIvz09eN87OwF/PNvbeLpd1u5+tw6XHb2mEtg3yk/V52buIqxw3BVgQnW+uR73WxeWsHrR84QiRo2LatI24K0VFlXV4LXLbzd3JPSuc0EJ7utH+dUXEwra4p56/9cjs/j4tjpfp5+91Ra4xkOSyoKaesNEhiKzHg6frqZsmgYY44A4+pZGGPOAJcl2Oc24LY4443AhjjjAWzRyTatPYPccP92Drb38f3Pnzf8Y1he6OPcxWW8eug0J7sGuXBl1Yy7WWJxms28fuRM1kSjtWeQE50DXH/RspS2z9b1Kivwct6Scp7b386ffuKsac3jsZ0nOdMf4n9dvIICn5vPbhrxuOZ73SyvLkrZ0mjpTr1g3oUrq7jjuQMAfDILP9p5HjdrF5bydpqstXTguJpSdZf5PJbD5bqGep5+9xQrMyAaS6us/8uT3YMZbTQ2E+iK8BT5ybbjHOno5ye/e8Fwr2GHD66qpvF4Fy09AS5M4sOfCdYsKKayyJfV2kpOv4rYbmmzlc9uqmdPS++4WliTIRiO8C+/PsTGJeVcvDr+OW+sL+flg6eHXZjJaOkepKzAS3HexPd0F62qwhgwBhqy4OIDqyzLtiNn+Kv/+y6BofGlxmcaxw3krI9IlY+ctYDbPrOB39i4eOKNJ4mTxTXZRZ6zERWNFHnzaCcbFpdx6ZrxwbVLVlfjeFiy/UPpxDW2ZTGu8eTuVqqKfDPuX58K122up7o4j7t+fXjKx3ik0QoEfyOJtfLtq9ZSVuDl9x54c8Ky4q09qa/1OW9JGXkeFx6XsHFJ4ky1TPLNT5zN71+6ggdfP87n7n4t6+10mzoHyPO4qJlkwUGXS/jSB5ZlJGV5XV0pHpck7LY4l1DRSIHAUITdzT3DvRjG0rC8Ap/HlfV4hsPFq6tp7QlkZXV4a88gz+9v57qGJTPuX58K+V43v3/pCl45dJo3pmBt/M+eU9z+9H4allUMr/2Ix4LSfO69voGWngCP7mhOuB3Aye5AyiVV8jxuLl1TTcPyCgp82fGV+zwu/vcn1/Nv1zdwsnuQ6360LW5zo5miuWuQ+oqZKX6ZKkV5Hs5bUs62w6M/Y229AT79T6/w7N62LM1s8qhopMDbTd2EItGEwdJ8r5vPbVrM5xvqZ8UH9UO2NfRimtcgpMLDbzYRiRp+K8spv5PhSxcuo76igD966C3aJ1Ef6NVDp7npwR2srCnizi+eP+H//bn1ZayqKUrqCgtHojR3DUyq1eidXzyff7vh/Slvnyk+vr6WO76wkdN9QZ7bN7myKemkqWsgY50Lp8NFK63qyn1BKz3aGMO3Ht3NOyd7+Nun982ZgoYqGinw5rH4zelj+bvPvo+br1o3U1NKypLKQlZWF81IQb5YQuEoD21v4tI11VnN3JosxXke7r2+gd7BMDf8+5u8ezK19NHn9rWT53Hx8E0XpexOumhVFW8e7WQoEo37+rP72vEHwlw8ifUWhT5PSvGPmeDSNTXUlubxiwmsqUzS1DmY1sV56eKiVVVEooY3j3YSGIrw98+8x4sHOvjo2TUc6ejnv9+dfe2a46GikQLbj3VxVm1xwoY4s5EPnVXD60fOzGhg8uHGJk71BvjdS1bM2Humi3V1pdz125to7w3wG//8Ct985G2On0num99xoovz6ssn5Rb64Kpq+kOWuzMeP37tKIvLC/j4upld2Z0u3C7h2vMX88KBDjr8M994qDcwRM/gUNLyIdli87IKfG4X97x0hMt+8CJ3v3CYazcu4t7rG1hZU8RdLxzK9hRTQkVjAgJDEXYc68zK4rPp8KGzqgkMRfn3V4/NSAHDwVCEf3ruIO9fXsFHZqhgXrr56NkLeP7PPsLvXryCJ3e38IkfvsR9rxyNW/o7MBRhb0sPm5JYn/GITYmOxRirrPnrRzr58kXL8GSwH0am+dymeiJRw+O7Zr7XRvMk021nknyvm/OXlrPtyBnKCrz85+99gDu2nI/H7eKGi5azp6V3VlWpTsTc/WTOEM/vb6c/FOHKDQuzPZVJcdHKatYuLOH2/97PJ+98mVA4vjskXfz0jeO0+4P8+RUzXw4knZQVePn/P7Wel771UT60pprvPrmXO547OG67d072MBQxbFo6uYylyiIfaxeWjHIdBoYifOqfXuG37n2DsgIvX2hYkuQIs5+zakvYtLScn75xYsZ7bUw13XamuPWaDdz9pU386g8v4YMxLshPrK8FYOscCIiraEzAL986yYKSPD64amZr+kyXAp+bp/7oUr5/3Xk0dQ7y60n2c5gsP29sZtPS8oQZZnONWjvb6dPnLeJHLx4eV9Z6p506OVlLA+DKDQt5/Ugn979yFIAndrWwp6WXb115Nlv/9ENzyg2aiC9ftIyjp/t57fD4oL8xZth11T0Q4o5nD/DeJKsAx2MoEuVn20/gdgnLKrNTymcizl5YwlXn1o3LLFxUXsA5i0rnRBaVikYSuvpDvPBeO9dsXDQn0kfH4nIJ125cRE1J3oRpntNh/6le3mvz85nz078oKpuICDdftRaXwPee3j/qtR3Hu1hWVUj1JNcCAHz9o6u54pxabn1yLz/bfoL7Xz3K2oUlfPXDq1hQOrNtgjPFVRvqqCj08h+vHx/32vf+ez8X/t1zvHWii3/59SHuePYgV9zxEg1/s5WNt/4Pf/vUPlp7Bmn3B/iDB3fwlQcbJ1xzdKonwB/97C1eeK+D7/zGOZQl6K0+m/nE+lp2nOiipXtwVvevnx0pF7OUJ99pZShiuHYO/xh63C4+e/5i7nvlKKf7glP6kZuIx3e14HYJV8+S2kPpZFF5ATddupI7nz/En5/uZ1lVIQ+/2cSLBzr49HmLpnRMj9vFnV88n5t+soObH3sHgNs/d+6cduuNJd/r5gvvX8o9Lx1md3M377MLG27d28a/vngEgFuf3MuBU36uOKeW99WX09w1QO9gmHtfPsI9Lx3B7RKMMUQNPPF2C9ckWKn9X7tb+dOHdxExhpuvWstvX5ha+ZrZxsfX1XLHswe5+PbnKfZ5eOUvPjYrxU9FIwm/3NnM2bUl43pczzU+t7mef33pCP/64mH+9yfXj3otGjWITL3+UzRqeGJXC3a3CrEAAAtmSURBVJeuqaYqA4I0G/itDyzjn399iMd2NlNe6OPWJ/fywVVVfOvKs6d8zDyPm3uu38yfPLSLd1t6Ev4gzmW++pFV/PKtZr716G6e+PoldA+G+PNH3+acRaX8xnmL+DvbevvTT5zF2oUj37FD7X28fLCDk12D/Ob7l/DNR97me0/vp7UnQCgcZe3CEv5z+wlOdg1y7/UN3PLEHs5eWMJdX9o0K9dnpMo5i0q58ZIV9AXCPNzYxJPvtPClD8w+AVTRSMDxM/3sPNHNX1w5twO7YAUmv3jBEu59+Sj1FYV86QNL8bhdPLu3jZt/+Q4fX1fL33323Ckd2+ml8JdXz441KplgYVk+l6yp4ZHGZvpDYT50Vg0//p33T1jBdyLyPG7u/u3NhCPROZ0tlYiyAi9/+5lzufGBRr7xyC4CQxEGQhH+ccv5LKks4GfbT3BWbckowQCrmVhsZYVbPr2e6/51G997ej8iVp2tsgIvoXCUq+98mYFQhPtuaJjTggHWjdtffWo9xhh2NXXz6I5mFY25xC/fOokIXLNxai6I2cat12ygpTvALU/s4fv/8x4el9A1MERZgZefbT/BJ9Yv4GNra1M6ljGGHce7KPR5uP2/97N5WQVXnzu3sssmy3Wb6/nDn72F2yX8n0+tm7ZgxDIfBcPhsnW1/PkVZ/MPWw8QiRq+fdXaYUF48o8uxZPCdWxYXskLf/YRygq8CMK7LT1sWFTG60fP8Af/sYPPnr+Y87JUdysTiAif27yYv31qP4c7+pJWxW081klfMMyHz6qZsZtbyXaznnTT0NBgGhsbp3WMaNTwsR+8QF1ZAT+76cI0zSz7BMMRtu5t49VDZ3CJZYF8bnM9n73rVXoHwzz5R5dMGPPoD4b51i9281+7WwEQgV99/RI2LJ65Vq3ZIDAU4UN//2s+9b5F/J9Pr594B2UUb53o4rXDZ/jKh1amVSQPtPlZVlVInmdu96gYS3tvgIu+9zxXn1vHP35hIy6X0DMwxE+3H+e0P8TH1i5g9YJiPv4PL9IXDLN2YQm1pfmsrCnilk+fM6X3FJEdxpiGCbdT0RjP47tO8scP7eIft2ycl77msbx7sofP/+g1zq4t4Wc3XUihL74BerDNz1d/upMjHX38ycfPoqLQS2mBNyeuEVjC4XO70mplKEoi/um5g/xg6wFuvGQFN1+1lt99oJGXDnTgc7uIGsPauhIOtvXxZ5efzTN7TjEUibJ2YSm3f/59U3o/FY0pEgxH+Nj3X6SswMuTf3hJzvxAbN3bxlcebGR5VRH/6+LlfHZTPUUx9Yx++VYzf/nYuxTlebhzy8ZRC5MURUk/xhi+86u9/Pi1YywuL+Bk9yB/c+0Grtm4iN++bztvN3Xz51eczdc+ujot76eiMQUCQxG+86s9/Gx7E/9x4we4JEmp6/nIc/va+MfnDrK7uYeSfA+blloL17oGQuxu7uEDKyr5py+eP2/WEijKbMcYw2M7T3LbU/u4dE01d3xhIyJCz+AQz+5t4zc2LsKbJnefisYkaeoc4IZ/386Rjn5+/9IV41JTcwVjDDtPdPOTbcc4drofA5Tke7hoZRV/8OFV8zpoqyizlXAkitslGQ12pyoamj1ls6A0jxVVRdz6GxtyzsKIRUTYvKyCzVMoj6EoSmaYTTdrs2cmSRCRK0XkPRE5JCLfzsR75Hnc3Pc7789pwVAURZmIWS8aIuIG/gW4ClgPfFFEctN3pCiKkmVmvWgAFwCHjDFHjDEh4CHgmizPSVEUJSeZC6KxGGiK+XezPTaMiNwkIo0i0tjRMbMtThVFUXKJuSAa8dIFRqV8GWPuMcY0GGMaamrmZtc4RVGUucBcEI1mILaVWT3QkqW5KIqi5DRzQTTeBNaIyAoR8QFbgCeyPCdFUZScZNav0zDGhEXk68AzgBu43xizJ8vTUhRFyUlmvWgAGGOeAp7K9jwURVFynXlXRkRE/MB79j/LgJ40Hj7dx6sGTqfxeLP9fNN9PNBrOF1y6frptUtMNVBkjJk4k8gYM68eQGPM83vSfOx0H68xzceb7eeb1uPpNdTrp9cuPcebzLnMhUD4dPjVLD9eupnt5zvbrx/M/nOe7ddwNp+vXrs0MB/dU40mhUqNs4G5NNfZil7D6aHXb+rMp2s3mXOZj5bGPdmewCSYS3Odreg1nB56/abOfLp2KZ/LvLM0FEVRlMwxHy0NRVEUJUOoaKQREVkiIr8WkX0iskdE/tgerxSRrSJy0P5bYY9/QkR2iMg79t+PxRzrv0Xkbfs4P7JLxM970nkNY475hIi8O9Pnkg3S/Bl8we5js8t+LMjWec0Eab52PhG5R0QOiMh+Eflcts4r7aQzxSvXH0AdsMl+XgIcwOoB8vfAt+3xbwO328/PBxbZzzcAJ2OOVWr/FeAXwJZsn99cu4b22GeB/wTezfa5zbXrB7wANGT7nObotfsO8Df2cxdQne3zS9t1yvYE5vMDeBz4BNZiwzp7rA54L862ApwB8saMe7FS576Q7fOZa9cQKAZesb/4OSEaab5+OSUaab52TViL5bJ+Hul+qHsqQ4jIcqw7kTeAWmNMK4D9N56Z/zngLWNMMOYYzwDtgB94NMNTnnWk4Rp+F/gBMJDxyc5C0vEZBP7ddk39lYjEa1MwL5nOtRORcnvsuyKyU0R+LiK1MzDtGUFFIwOISDGWS+lPjDG9KWx/DnA78JXYcWPMFVh3NnnAOF/9fGa611BENgKrjTG/zOhEZylp+gx+yRhzLnCp/fhyJuY620jDtfNgtXB41RizCdgGfD9D051xVDTSjIh4sT5wPzXGPGYPt4lInf16HZb14GxfD/wSuN4Yc3js8YwxAaxS8DnT4jZN1/AiYLOIHMNyUZ0lIi/MzBlkl3R9Bo0xJ/9fe/cOGkUUhXH8f8jaBMUU2lhoOhFEUEEQIwqCoFhqIWJirARB0EYigpWdBjGFUVDx0Wi6oKAoQnxhHzSiaBGLFD5jjJX6WcwNLCHq7DI7G8z3a3a5O1zuGS579t6ZOZteJ8iuC60rJ4LmKejcfSRb3U79YBkA1pQw/FI4aRQoLd8vAiOSeqs+GgS60vsusr1S0jL2NtAj6UlVP/OrJmkF2A68bHwEzVfUOZR0TtISSe1AB/BK0ubGR9BcBc7BSkQsSu/nATuA//oOtALnnsiuQ25OTVuAFw0dfIn8cF+BIqIDeAQMA79S8zGyfdGbwFJgFNgl6VNEHAd6gNdV3Wwlu6h2i2xbqgV4AByW9KOMOJqpqHMoqfrXYDtwS9LKhgfQZAXOwUngIdmNGC3AfeCIpJ9lxNEMRc69iFgGXAPagPdAt6TRciJpLCcNMzPLzdtTZmaWm5OGmZnl5qRhZma5OWmYmVluThpmZpabk4ZZySLiQER01nB8+1yp0muzX6XZAzCbSyKiIqm/2eMwq5eThlmN0sOCd8ge+lpNVkK7E1gB9JJV1/0A7JM0lsqXPAU2AIMRsQD4JulUqpHVD7QCb4D9kj5HxFrgElk5isflRWf2d96eMqvPcuCCpFXAV+Ag0AfslDT1hX+y6vg2SZsknZ7Wz1XgaOpnGDiR2i8DhyStb2QQZrXySsOsPu+q6g1dJys3sRK4lyqItwBjVcffmN5BRCwkSyZDqekKMDBD+zVgW/EhmNXOScOsPtPr70wAz/+yMpisoe+YoX+zWcHbU2b1WRoRUwliN/AMWDzVFhHz0v8s/JGkceBzRGxMTXuBIUlfgPFUQA9gT/HDN6uPVxpm9RkBuiLiPFmV0z7gLnA2bS9VgDPA83/00wX0R0Qr8BboTu3dwKWI+J76NZsVXOXWrEZzqdS62XTenjIzs9y80jAzs9y80jAzs9ycNMzMLDcnDTMzy81Jw8zMcnPSMDOz3Jw0zMwst993TY1aAGkjbQAAAABJRU5ErkJggg==\n", 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\n", 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3908112\n", + "2010 4111392\n", + "2013 4182691\n", + "2025 4366002\n", + "1986 5115251\n", + "1990 5235827\n", + "1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2452,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.hist(xrot=20)" ] @@ -364,7 +2508,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo1/incidence-PAY-3.csv b/module3/exo1/incidence-PAY-3.csv new file mode 100644 index 0000000000000000000000000000000000000000..cad2189e81aada7e28bd29ac4b93352adafe2d69 --- /dev/null +++ b/module3/exo1/incidence-PAY-3.csv @@ -0,0 +1,2175 @@ +# {"source":"réseau Sentinelles, INSERM, Sorbonne Université, https:\/\/www.sentiweb.fr","meta":{"period":[198444,202625],"geo":["PAY",0],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false,"age_group":false,"span":"all"},"date":"2026-06-24T09:00:08+02:00","bundle":"1782284407"} +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name 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