diff --git a/module3/exo1/incidence-PAY-3.csv b/module3/exo1/incidence-PAY-3.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8e9f5dd8635e97b84d25a7ebcfd6fb57c8715555
--- /dev/null
+++ b/module3/exo1/incidence-PAY-3.csv
@@ -0,0 +1,1980 @@
+# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202238],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2022-10-03T10:36:04+02:00
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
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+202234,3,10708,7334,14082,16,11,21,FR,France
+202233,3,12926,8869,16983,19,13,25,FR,France
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+202231,3,21828,16268,27388,33,25,41,FR,France
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+202226,3,34010,28521,39499,51,43,59,FR,France
+202225,3,23377,19042,27712,35,28,42,FR,France
+202224,3,26328,21829,30827,40,33,47,FR,France
+202223,3,23430,18950,27910,35,28,42,FR,France
+202222,3,18951,15099,22803,29,23,35,FR,France
+202221,3,13632,10251,17013,21,16,26,FR,France
+202220,3,19787,15756,23818,30,24,36,FR,France
+202219,3,17884,14079,21689,27,21,33,FR,France
+202218,3,30353,25089,35617,46,38,54,FR,France
+202217,3,36006,30373,41639,54,46,62,FR,France
+202216,3,49949,42836,57062,75,64,86,FR,France
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+202205,3,62970,56043,69897,95,85,105,FR,France
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+202203,3,74613,67144,82082,113,102,124,FR,France
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+202151,3,41698,35359,48037,63,53,73,FR,France
+202150,3,38117,32497,43737,58,49,67,FR,France
+202149,3,40168,34716,45620,61,53,69,FR,France
+202148,3,41842,36364,47320,63,55,71,FR,France
+202147,3,36598,31338,41858,55,47,63,FR,France
+202146,3,30059,25302,34816,46,39,53,FR,France
+202145,3,20364,16564,24164,31,25,37,FR,France
+202144,3,18999,15042,22956,29,23,35,FR,France
+202143,3,27040,21935,32145,41,33,49,FR,France
+202142,3,28343,23382,33304,43,35,51,FR,France
+202141,3,25043,20586,29500,38,31,45,FR,France
+202140,3,26286,21842,30730,40,33,47,FR,France
+202139,3,22155,18014,26296,34,28,40,FR,France
+202138,3,15614,12310,18918,24,19,29,FR,France
+202137,3,13673,10404,16942,21,16,26,FR,France
+202136,3,10289,7505,13073,16,12,20,FR,France
+202135,3,12609,9282,15936,19,14,24,FR,France
+202134,3,13081,9540,16622,20,15,25,FR,France
+202133,3,10392,7042,13742,16,11,21,FR,France
+202132,3,15586,11009,20163,24,17,31,FR,France
+202131,3,18855,13664,24046,29,21,37,FR,France
+202130,3,13991,9695,18287,21,14,28,FR,France
+202129,3,13626,9618,17634,21,15,27,FR,France
+202128,3,8636,5430,11842,13,8,18,FR,France
+202127,3,10693,6838,14548,16,10,22,FR,France
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+202123,3,6710,4455,8965,10,7,13,FR,France
+202122,3,7879,5495,10263,12,8,16,FR,France
+202121,3,7827,5403,10251,12,8,16,FR,France
+202120,3,10278,7540,13016,16,12,20,FR,France
+202119,3,9539,6860,12218,14,10,18,FR,France
+202118,3,12135,9165,15105,18,14,22,FR,France
+202117,3,12058,8891,15225,18,13,23,FR,France
+202116,3,16505,12735,20275,25,19,31,FR,France
+202115,3,19306,15398,23214,29,23,35,FR,France
+202114,3,21073,17099,25047,32,26,38,FR,France
+202113,3,26413,22094,30732,40,33,47,FR,France
+202112,3,30658,25919,35397,46,39,53,FR,France
+202111,3,24988,20718,29258,38,32,44,FR,France
+202110,3,19539,15951,23127,30,25,35,FR,France
+202109,3,17572,13926,21218,27,21,33,FR,France
+202108,3,20882,16907,24857,32,26,38,FR,France
+202107,3,22393,18303,26483,34,28,40,FR,France
+202106,3,23183,19134,27232,35,29,41,FR,France
+202105,3,22426,18445,26407,34,28,40,FR,France
+202104,3,25804,21491,30117,39,32,46,FR,France
+202103,3,21810,17894,25726,33,27,39,FR,France
+202102,3,17320,13906,20734,26,21,31,FR,France
+202101,3,21799,17778,25820,33,27,39,FR,France
+202053,3,21220,16498,25942,32,25,39,FR,France
+202052,3,16428,12285,20571,25,19,31,FR,France
+202051,3,21619,17370,25868,33,27,39,FR,France
+202050,3,16845,13220,20470,26,20,32,FR,France
+202049,3,12939,9923,15955,20,15,25,FR,France
+202048,3,13804,10641,16967,21,16,26,FR,France
+202047,3,19085,15285,22885,29,23,35,FR,France
+202046,3,24801,20503,29099,38,31,45,FR,France
+202045,3,42516,36857,48175,65,56,74,FR,France
+202044,3,44567,38521,50613,68,59,77,FR,France
+202043,3,43799,37581,50017,67,58,76,FR,France
+202042,3,35183,29847,40519,53,45,61,FR,France
+202041,3,27926,23251,32601,42,35,49,FR,France
+202040,3,20443,16381,24505,31,25,37,FR,France
+202039,3,19810,15900,23720,30,24,36,FR,France
+202038,3,25559,21141,29977,39,32,46,FR,France
+202037,3,18485,14649,22321,28,22,34,FR,France
+202036,3,10390,7646,13134,16,12,20,FR,France
+202035,3,9918,6842,12994,15,10,20,FR,France
+202034,3,6084,3090,9078,9,4,14,FR,France
+202033,3,6106,3411,8801,9,5,13,FR,France
+202032,3,5918,3330,8506,9,5,13,FR,France
+202031,3,4351,2269,6433,7,4,10,FR,France
+202030,3,8179,5442,10916,12,8,16,FR,France
+202029,3,8687,5860,11514,13,9,17,FR,France
+202028,3,8325,5688,10962,13,9,17,FR,France
+202027,3,4066,2406,5726,6,3,9,FR,France
+202026,3,4039,2389,5689,6,3,9,FR,France
+202025,3,2853,1488,4218,4,2,6,FR,France
+202024,3,3058,1690,4426,5,3,7,FR,France
+202023,3,4168,2468,5868,6,3,9,FR,France
+202022,3,3580,1947,5213,5,3,7,FR,France
+202021,3,6114,4026,8202,9,6,12,FR,France
+202020,3,9315,6775,11855,14,10,18,FR,France
+202019,3,11679,8722,14636,18,14,22,FR,France
+202018,3,16398,12851,19945,25,20,30,FR,France
+202017,3,18082,14454,21710,27,21,33,FR,France
+202016,3,24165,19893,28437,37,31,43,FR,France
+202015,3,41049,35377,46721,62,53,71,FR,France
+202014,3,71666,64531,78801,109,98,120,FR,France
+202013,3,107742,99187,116297,164,151,177,FR,France
+202012,3,107283,98610,115956,163,150,176,FR,France
+202011,3,112943,104468,121418,172,159,185,FR,France
+202010,3,105145,96812,113478,160,147,173,FR,France
+202009,3,110696,102066,119326,168,155,181,FR,France
+202008,3,143753,133984,153522,218,203,233,FR,France
+202007,3,183610,172812,194408,279,263,295,FR,France
+202006,3,206669,195481,217857,314,297,331,FR,France
+202005,3,187957,177445,198469,285,269,301,FR,France
+202004,3,122331,113492,131170,186,173,199,FR,France
+202003,3,78413,71330,85496,119,108,130,FR,France
+202002,3,53614,47654,59574,81,72,90,FR,France
+202001,3,36850,31608,42092,56,48,64,FR,France
+201952,3,28135,23220,33050,43,36,50,FR,France
+201951,3,29786,25042,34530,45,38,52,FR,France
+201950,3,34223,29156,39290,52,44,60,FR,France
+201949,3,25662,21414,29910,39,33,45,FR,France
+201948,3,22367,18055,26679,34,27,41,FR,France
+201947,3,18669,14759,22579,28,22,34,FR,France
+201946,3,16030,12567,19493,24,19,29,FR,France
+201945,3,10138,7160,13116,15,10,20,FR,France
+201944,3,7822,5010,10634,12,8,16,FR,France
+201943,3,9487,6448,12526,14,9,19,FR,France
+201942,3,7747,5243,10251,12,8,16,FR,France
+201941,3,7122,4720,9524,11,7,15,FR,France
+201940,3,8505,5784,11226,13,9,17,FR,France
+201939,3,7091,4462,9720,11,7,15,FR,France
+201938,3,4897,2891,6903,7,4,10,FR,France
+201937,3,3172,1367,4977,5,2,8,FR,France
+201936,3,2295,728,3862,3,1,5,FR,France
+201935,3,1010,2,2018,2,0,4,FR,France
+201934,3,1672,279,3065,3,1,5,FR,France
+201933,3,1593,68,3118,2,0,4,FR,France
+201932,3,1592,71,3113,2,0,4,FR,France
+201931,3,2337,695,3979,4,2,6,FR,France
+201930,3,1944,415,3473,3,1,5,FR,France
+201929,3,2096,420,3772,3,0,6,FR,France
+201928,3,1195,125,2265,2,0,4,FR,France
+201927,3,2466,848,4084,4,2,6,FR,France
+201926,3,1798,402,3194,3,1,5,FR,France
+201925,3,1544,389,2699,2,0,4,FR,France
+201924,3,876,17,1735,1,0,2,FR,France
+201923,3,2004,748,3260,3,1,5,FR,France
+201922,3,2181,602,3760,3,1,5,FR,France
+201921,3,2585,1102,4068,4,2,6,FR,France
+201920,3,2891,1202,4580,4,1,7,FR,France
+201919,3,3221,1509,4933,5,2,8,FR,France
+201918,3,1385,278,2492,2,0,4,FR,France
+201917,3,3166,1348,4984,5,2,8,FR,France
+201916,3,3842,1973,5711,6,3,9,FR,France
+201915,3,5932,3669,8195,9,6,12,FR,France
+201914,3,12675,9167,16183,19,14,24,FR,France
+201913,3,16513,12530,20496,25,19,31,FR,France
+201912,3,22184,17786,26582,34,27,41,FR,France
+201911,3,31553,26556,36550,48,40,56,FR,France
+201910,3,49742,43268,56216,76,66,86,FR,France
+201909,3,88354,79564,97144,134,121,147,FR,France
+201908,3,172604,160024,185184,262,243,281,FR,France
+201907,3,307338,291220,323456,467,443,491,FR,France
+201906,3,394286,376782,411790,599,572,626,FR,France
+201905,3,355785,339295,372275,540,515,565,FR,France
+201904,3,241090,227261,254919,366,345,387,FR,France
+201903,3,147063,135890,158236,223,206,240,FR,France
+201902,3,75548,67632,83464,115,103,127,FR,France
+201901,3,50295,43525,57065,76,66,86,FR,France
+201852,3,37903,31375,44431,58,48,68,FR,France
+201851,3,39259,32977,45541,60,50,70,FR,France
+201850,3,27781,22638,32924,42,34,50,FR,France
+201849,3,19738,15481,23995,30,24,36,FR,France
+201848,3,19501,15275,23727,30,24,36,FR,France
+201847,3,15949,12105,19793,24,18,30,FR,France
+201846,3,11278,7957,14599,17,12,22,FR,France
+201845,3,11065,7791,14339,17,12,22,FR,France
+201844,3,6586,3875,9297,10,6,14,FR,France
+201843,3,6550,3988,9112,10,6,14,FR,France
+201842,3,7787,5129,10445,12,8,16,FR,France
+201841,3,8048,5098,10998,12,8,16,FR,France
+201840,3,7409,4717,10101,11,7,15,FR,France
+201839,3,7174,4235,10113,11,7,15,FR,France
+201838,3,7349,4399,10299,11,7,15,FR,France
+201837,3,4915,2386,7444,7,3,11,FR,France
+201836,3,3215,1349,5081,5,2,8,FR,France
+201835,3,1506,239,2773,2,0,4,FR,France
+201834,3,1368,116,2620,2,0,4,FR,France
+201833,3,1962,5,3919,3,0,6,FR,France
+201832,3,1839,183,3495,3,0,6,FR,France
+201831,3,2048,242,3854,3,0,6,FR,France
+201830,3,1951,202,3700,3,0,6,FR,France
+201829,3,1951,252,3650,3,0,6,FR,France
+201828,3,1654,52,3256,3,1,5,FR,France
+201827,3,3266,1145,5387,5,2,8,FR,France
+201826,3,3758,1493,6023,6,3,9,FR,France
+201825,3,4580,2220,6940,7,3,11,FR,France
+201824,3,3223,1351,5095,5,2,8,FR,France
+201823,3,1207,136,2278,2,0,4,FR,France
+201822,3,3202,1330,5074,5,2,8,FR,France
+201821,3,2537,763,4311,4,1,7,FR,France
+201820,3,2694,967,4421,4,1,7,FR,France
+201819,3,1025,0,2098,2,0,4,FR,France
+201818,3,3541,1416,5666,5,2,8,FR,France
+201817,3,2573,1003,4143,4,2,6,FR,France
+201816,3,4818,2724,6912,7,4,10,FR,France
+201815,3,16311,12168,20454,25,19,31,FR,France
+201814,3,22666,18092,27240,35,28,42,FR,France
+201813,3,32680,25536,39824,50,39,61,FR,France
+201812,3,52040,44590,59490,79,68,90,FR,France
+201811,3,65159,56506,73812,99,86,112,FR,France
+201810,3,93512,83989,103035,142,128,156,FR,France
+201809,3,108545,98645,118445,165,150,180,FR,France
+201808,3,131870,120950,142790,201,184,218,FR,France
+201807,3,141138,130177,152099,215,198,232,FR,France
+201806,3,138810,128164,149456,211,195,227,FR,France
+201805,3,157839,146646,169032,240,223,257,FR,France
+201804,3,175483,163835,187131,267,249,285,FR,France
+201803,3,178329,166640,190018,271,253,289,FR,France
+201802,3,198079,185663,210495,302,283,321,FR,France
+201801,3,235493,220941,250045,358,336,380,FR,France
+201752,3,299114,279359,318869,459,429,489,FR,France
+201751,3,229448,214366,244530,352,329,375,FR,France
+201750,3,129535,118787,140283,199,183,215,FR,France
+201749,3,63789,56120,71458,98,86,110,FR,France
+201748,3,37568,31541,43595,58,49,67,FR,France
+201747,3,24972,19923,30021,38,30,46,FR,France
+201746,3,13398,9948,16848,21,16,26,FR,France
+201745,3,14035,8091,19979,22,13,31,FR,France
+201744,3,8544,5318,11770,13,8,18,FR,France
+201743,3,7300,4402,10198,11,7,15,FR,France
+201742,3,9966,6503,13429,15,10,20,FR,France
+201741,3,12434,8718,16150,19,13,25,FR,France
+201740,3,12725,8690,16760,20,14,26,FR,France
+201739,3,14949,10534,19364,23,16,30,FR,France
+201738,3,11463,7438,15488,18,12,24,FR,France
+201737,3,9716,6364,13068,15,10,20,FR,France
+201736,3,2815,917,4713,4,1,7,FR,France
+201735,3,2794,850,4738,4,1,7,FR,France
+201734,3,2497,879,4115,4,2,6,FR,France
+201733,3,2406,766,4046,4,1,7,FR,France
+201732,3,2667,879,4455,4,1,7,FR,France
+201731,3,3256,1158,5354,5,2,8,FR,France
+201730,3,3759,1299,6219,6,2,10,FR,France
+201729,3,5014,1989,8039,8,3,13,FR,France
+201728,3,5271,2576,7966,8,4,12,FR,France
+201727,3,3924,1432,6416,6,2,10,FR,France
+201726,3,3171,1166,5176,5,2,8,FR,France
+201725,3,837,0,1721,1,0,2,FR,France
+201724,3,1566,248,2884,2,0,4,FR,France
+201723,3,1664,203,3125,3,1,5,FR,France
+201722,3,1305,92,2518,2,0,4,FR,France
+201721,3,971,0,2046,1,0,3,FR,France
+201720,3,2686,793,4579,4,1,7,FR,France
+201719,3,3461,1490,5432,5,2,8,FR,France
+201718,3,2102,515,3689,3,1,5,FR,France
+201717,3,2071,428,3714,3,0,6,FR,France
+201716,3,1380,222,2538,2,0,4,FR,France
+201715,3,479,0,1242,1,0,2,FR,France
+201714,3,1110,0,2549,2,0,4,FR,France
+201713,3,7594,3808,11380,12,6,18,FR,France
+201712,3,8780,4834,12726,13,7,19,FR,France
+201711,3,7814,4329,11299,12,7,17,FR,France
+201710,3,11802,7964,15640,18,12,24,FR,France
+201709,3,13111,9099,17123,20,14,26,FR,France
+201708,3,29545,23136,35954,45,35,55,FR,France
+201707,3,59590,49764,69416,91,76,106,FR,France
+201706,3,93628,82560,104696,144,127,161,FR,France
+201705,3,193677,179255,208099,297,275,319,FR,France
+201704,3,256428,240618,272238,394,370,418,FR,France
+201703,3,267276,251345,283207,410,386,434,FR,France
+201702,3,260588,245070,276106,400,376,424,FR,France
+201701,3,255535,239743,271327,392,368,416,FR,France
+201652,3,224489,207799,241179,345,319,371,FR,France
+201651,3,187704,172655,202753,288,265,311,FR,France
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+199903,3,242388,224208,260568,414,383,445,FR,France
+199902,3,160657,145209,176105,275,249,301,FR,France
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+199850,3,54775,45478,64072,94,78,110,FR,France
+199849,3,33385,26332,40438,57,45,69,FR,France
+199848,3,22636,16668,28604,39,29,49,FR,France
+199847,3,14505,9746,19264,25,17,33,FR,France
+199846,3,13804,9049,18559,24,16,32,FR,France
+199845,3,13021,8113,17929,22,14,30,FR,France
+199844,3,12631,7410,17852,22,13,31,FR,France
+199843,3,12180,7125,17235,21,12,30,FR,France
+199842,3,18885,12726,25044,32,21,43,FR,France
+199841,3,24196,17506,30886,42,31,53,FR,France
+199840,3,20235,14114,26356,35,25,45,FR,France
+199839,3,17075,11538,22612,29,20,38,FR,France
+199838,3,10837,6336,15338,19,11,27,FR,France
+199837,3,6968,3227,10709,12,6,18,FR,France
+199836,3,3033,580,5486,5,1,9,FR,France
+199835,3,2491,0,5022,4,0,8,FR,France
+199834,3,3853,589,7117,7,1,13,FR,France
+199833,3,2934,0,6598,5,0,11,FR,France
+199832,3,1308,0,2894,2,0,5,FR,France
+199831,3,12147,0,29237,21,0,50,FR,France
+199830,3,5309,1628,8990,9,3,15,FR,France
+199829,3,6486,2465,10507,11,4,18,FR,France
+199828,3,9577,4464,14690,16,7,25,FR,France
+199827,3,12358,7158,17558,21,12,30,FR,France
+199826,3,10415,6547,14283,18,11,25,FR,France
+199825,3,18246,13050,23442,31,22,40,FR,France
+199824,3,16263,11126,21400,28,19,37,FR,France
+199823,3,8553,4911,12195,15,9,21,FR,France
+199822,3,5181,2669,7693,9,5,13,FR,France
+199821,3,4751,2416,7086,8,4,12,FR,France
+199820,3,12129,8099,16159,21,14,28,FR,France
+199819,3,24118,17906,30330,41,30,52,FR,France
+199818,3,31612,24512,38712,54,42,66,FR,France
+199817,3,61148,51894,70402,105,89,121,FR,France
+199816,3,123195,109878,136512,211,188,234,FR,France
+199815,3,171603,156715,186491,294,268,320,FR,France
+199814,3,319092,298398,339786,547,512,582,FR,France
+199813,3,298212,278513,317911,512,478,546,FR,France
+199812,3,263585,246356,280814,452,422,482,FR,France
+199811,3,220578,204894,236262,378,351,405,FR,France
+199810,3,202354,186304,218404,347,319,375,FR,France
+199809,3,227553,209970,245136,390,360,420,FR,France
+199808,3,271362,252005,290719,465,432,498,FR,France
+199807,3,190187,173694,206680,326,298,354,FR,France
+199806,3,88217,76829,99605,151,131,171,FR,France
+199805,3,45180,36970,53390,77,63,91,FR,France
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+199803,3,23900,18221,29579,41,31,51,FR,France
+199802,3,31143,23994,38292,53,41,65,FR,France
+199801,3,24809,17786,31832,43,31,55,FR,France
+199752,3,29039,21984,36094,50,38,62,FR,France
+199751,3,34924,27737,42111,60,48,72,FR,France
+199750,3,33527,26388,40666,58,46,70,FR,France
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+199748,3,11507,7744,15270,20,14,26,FR,France
+199747,3,11059,7151,14967,19,12,26,FR,France
+199746,3,8073,4613,11533,14,8,20,FR,France
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+199744,3,19770,14405,25135,34,25,43,FR,France
+199743,3,16707,11945,21469,29,21,37,FR,France
+199742,3,15340,10351,20329,26,17,35,FR,France
+199741,3,16933,11941,21925,29,20,38,FR,France
+199740,3,13292,8709,17875,23,15,31,FR,France
+199739,3,10189,6279,14099,18,11,25,FR,France
+199738,3,3231,1061,5401,6,2,10,FR,France
+199737,3,4542,1949,7135,8,4,12,FR,France
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+199734,3,3226,0,6717,6,0,12,FR,France
+199733,3,1799,0,4368,3,0,7,FR,France
+199732,3,2086,0,4411,4,0,8,FR,France
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+199727,3,2540,754,4326,4,1,7,FR,France
+199726,3,5582,2699,8465,10,5,15,FR,France
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+199724,3,4696,1824,7568,8,3,13,FR,France
+199723,3,4709,2136,7282,8,4,12,FR,France
+199722,3,2283,665,3901,4,1,7,FR,France
+199721,3,2108,664,3552,4,2,6,FR,France
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+199718,3,5246,2764,7728,9,5,13,FR,France
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+199716,3,12169,8111,16227,21,14,28,FR,France
+199715,3,9516,6192,12840,16,10,22,FR,France
+199714,3,13602,9659,17545,23,16,30,FR,France
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+199712,3,17199,12707,21691,30,22,38,FR,France
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+199642,3,11929,8472,15386,21,15,27,FR,France
+199641,3,9918,6674,13162,17,11,23,FR,France
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+199615,3,51703,43644,59762,89,75,103,FR,France
+199614,3,44414,36774,52054,77,64,90,FR,France
+199613,3,30622,25062,36182,53,43,63,FR,France
+199612,3,31818,25852,37784,55,45,65,FR,France
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+199605,3,25275,20410,30140,44,36,52,FR,France
+199604,3,43359,36948,49770,75,64,86,FR,France
+199603,3,54691,48016,61366,94,82,106,FR,France
+199602,3,105606,96106,115106,182,166,198,FR,France
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+199545,3,29791,24523,35059,52,43,61,FR,France
+199544,3,13168,9820,16516,23,17,29,FR,France
+199543,3,16188,12389,19987,28,21,35,FR,France
+199542,3,15178,11387,18969,26,19,33,FR,France
+199541,3,14980,10851,19109,26,19,33,FR,France
+199540,3,16245,11610,20880,28,20,36,FR,France
+199539,3,18499,13844,23154,32,24,40,FR,France
+199538,3,13123,9410,16836,23,17,29,FR,France
+199537,3,4895,2666,7124,8,4,12,FR,France
+199536,3,3659,1574,5744,6,2,10,FR,France
+199535,3,2496,644,4348,4,1,7,FR,France
+199534,3,1887,214,3560,3,0,6,FR,France
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+199530,3,1898,46,3750,3,0,6,FR,France
+199529,3,2148,687,3609,4,1,7,FR,France
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+199527,3,4853,2683,7023,8,4,12,FR,France
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+199524,3,8058,5054,11062,14,9,19,FR,France
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+199522,3,14124,9999,18249,24,17,31,FR,France
+199521,3,11931,8655,15207,21,15,27,FR,France
+199520,3,18846,14311,23381,33,25,41,FR,France
+199519,3,26261,21488,31034,45,37,53,FR,France
+199518,3,39231,33258,45204,68,58,78,FR,France
+199517,3,88640,79343,97937,153,137,169,FR,France
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+199515,3,181007,169110,192904,313,292,334,FR,France
+199514,3,248704,235144,262264,431,408,454,FR,France
+199513,3,209839,197191,222487,363,341,385,FR,France
+199512,3,122434,112497,132371,212,195,229,FR,France
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+199508,3,38008,32225,43791,66,56,76,FR,France
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+199506,3,37351,32007,42695,65,56,74,FR,France
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+199502,3,23480,19249,27711,41,34,48,FR,France
+199501,3,26556,21916,31196,46,38,54,FR,France
+199452,3,22036,17495,26577,38,30,46,FR,France
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+199450,3,28831,23470,34192,50,41,59,FR,France
+199449,3,21161,16559,25763,37,29,45,FR,France
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+199447,3,15206,11578,18834,26,20,32,FR,France
+199446,3,14252,10525,17979,25,19,31,FR,France
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+199443,3,11254,8002,14506,20,14,26,FR,France
+199442,3,14406,10653,18159,25,18,32,FR,France
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+199440,3,15962,11850,20074,28,21,35,FR,France
+199439,3,15878,11643,20113,28,21,35,FR,France
+199438,3,15366,11100,19632,27,20,34,FR,France
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+199424,3,6288,3723,8853,11,7,15,FR,France
+199423,3,6440,1052,11828,11,2,20,FR,France
+199422,3,845,0,2449,1,0,4,FR,France
+199421,3,2197,395,3999,4,1,7,FR,France
+199420,3,2217,852,3582,4,2,6,FR,France
+199419,3,1483,406,2560,3,1,5,FR,France
+199418,3,3705,1940,5470,6,3,9,FR,France
+199417,3,2288,1064,3512,4,2,6,FR,France
+199416,3,5156,3176,7136,9,6,12,FR,France
+199415,3,6952,4678,9226,12,8,16,FR,France
+199414,3,4671,2784,6558,8,5,11,FR,France
+199413,3,3343,1641,5045,6,3,9,FR,France
+199412,3,4305,2412,6198,7,4,10,FR,France
+199411,3,5399,3327,7471,9,5,13,FR,France
+199410,3,4548,2529,6567,8,4,12,FR,France
+199409,3,5635,3251,8019,10,6,14,FR,France
+199408,3,9539,6652,12426,17,12,22,FR,France
+199407,3,14639,11188,18090,25,19,31,FR,France
+199406,3,17308,13395,21221,30,23,37,FR,France
+199405,3,18489,14290,22688,32,25,39,FR,France
+199404,3,23712,19048,28376,41,33,49,FR,France
+199403,3,29882,24817,34947,52,43,61,FR,France
+199402,3,47402,41415,53389,82,72,92,FR,France
+199401,3,118119,108182,128056,205,188,222,FR,France
+199352,3,233137,218608,247666,406,381,431,FR,France
+199351,3,377472,359792,395152,658,627,689,FR,France
+199350,3,627639,607097,648181,1094,1058,1130,FR,France
+199349,3,898045,873419,922671,1565,1522,1608,FR,France
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+199347,3,241371,226769,255973,421,396,446,FR,France
+199346,3,76034,68003,84065,133,119,147,FR,France
+199345,3,32289,27022,37556,56,47,65,FR,France
+199344,3,17832,14015,21649,31,24,38,FR,France
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+199342,3,19187,14893,23481,33,26,40,FR,France
+199341,3,18285,14384,22186,32,25,39,FR,France
+199340,3,13805,10348,17262,24,18,30,FR,France
+199339,3,14783,11173,18393,26,20,32,FR,France
+199338,3,10492,7329,13655,18,12,24,FR,France
+199337,3,7023,4503,9543,12,8,16,FR,France
+199336,3,4361,2445,6277,8,5,11,FR,France
+199335,3,5589,3066,8112,10,6,14,FR,France
+199334,3,2984,1209,4759,5,2,8,FR,France
+199333,3,3217,758,5676,6,2,10,FR,France
+199332,3,3755,1051,6459,7,2,12,FR,France
+199331,3,4163,1768,6558,7,3,11,FR,France
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+199329,3,3714,1668,5760,6,2,10,FR,France
+199328,3,1774,484,3064,3,1,5,FR,France
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+199322,3,3432,1849,5015,6,3,9,FR,France
+199321,3,5942,3670,8214,10,6,14,FR,France
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+199317,3,8111,5138,11084,14,9,19,FR,France
+199316,3,24932,19468,30396,43,33,53,FR,France
+199315,3,22181,17147,27215,39,30,48,FR,France
+199314,3,38266,30865,45667,67,54,80,FR,France
+199313,3,62987,54506,71468,110,95,125,FR,France
+199312,3,63493,55956,71030,111,98,124,FR,France
+199311,3,80548,72628,88468,140,126,154,FR,France
+199310,3,127910,117688,138132,223,205,241,FR,France
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+199308,3,222932,209051,236813,389,365,413,FR,France
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+198711,3,53561,45035,62087,96,81,111,FR,France
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+198709,3,147006,133519,160493,264,240,288,FR,France
+198708,3,217779,202179,233379,391,363,419,FR,France
+198707,3,288180,270718,305642,518,487,549,FR,France
+198706,3,296702,279051,314353,533,501,565,FR,France
+198705,3,236046,219483,252609,424,394,454,FR,France
+198704,3,158333,143625,173041,285,259,311,FR,France
+198703,3,103841,91699,115983,187,165,209,FR,France
+198702,3,74213,64014,84412,133,115,151,FR,France
+198701,3,69745,59207,80283,125,106,144,FR,France
+198652,3,76263,64958,87568,138,118,158,FR,France
+198651,3,72920,63047,82793,132,114,150,FR,France
+198650,3,73413,64019,82807,133,116,150,FR,France
+198649,3,56296,48229,64363,102,87,117,FR,France
+198648,3,46031,38578,53484,83,70,96,FR,France
+198647,3,36740,29710,43770,66,53,79,FR,France
+198646,3,32134,25327,38941,58,46,70,FR,France
+198645,3,38964,31382,46546,70,56,84,FR,France
+198644,3,28646,22048,35244,52,40,64,FR,France
+198643,3,27532,20842,34222,50,38,62,FR,France
+198642,3,31815,25124,38506,57,45,69,FR,France
+198641,3,32864,25939,39789,59,47,71,FR,France
+198640,3,33516,26776,40256,60,48,72,FR,France
+198639,3,28665,22477,34853,52,41,63,FR,France
+198638,3,26615,20479,32751,48,37,59,FR,France
+198637,3,15998,10802,21194,29,20,38,FR,France
+198636,3,9182,4982,13382,17,9,25,FR,France
+198635,3,10587,4470,16704,19,8,30,FR,France
+198634,3,5762,858,10666,10,1,19,FR,France
+198633,3,3115,554,5676,6,1,11,FR,France
+198632,3,1027,0,2311,2,0,4,FR,France
+198631,3,2247,0,4574,4,0,8,FR,France
+198630,3,2346,141,4551,4,0,8,FR,France
+198629,3,3654,931,6377,7,2,12,FR,France
+198628,3,2327,0,5318,4,0,9,FR,France
+198627,3,7529,3353,11705,14,6,22,FR,France
+198626,3,8778,5106,12450,16,9,23,FR,France
+198625,3,11075,6804,15346,20,12,28,FR,France
+198624,3,11160,7252,15068,20,13,27,FR,France
+198623,3,14372,9896,18848,26,18,34,FR,France
+198622,3,9717,5594,13840,18,11,25,FR,France
+198621,3,14460,9575,19345,26,17,35,FR,France
+198620,3,17133,12106,22160,31,22,40,FR,France
+198619,3,22177,16008,28346,40,29,51,FR,France
+198618,3,31736,24115,39357,57,43,71,FR,France
+198617,3,34874,27440,42308,63,50,76,FR,France
+198616,3,41196,32894,49498,74,59,89,FR,France
+198615,3,42659,33537,51781,77,61,93,FR,France
+198614,3,49792,39728,59856,90,72,108,FR,France
+198613,3,87249,63562,110936,157,114,200,FR,France
+198612,3,124777,97237,152317,225,175,275,FR,France
+198611,3,168146,151035,185257,303,272,334,FR,France
+198610,3,257305,231225,283385,464,417,511,FR,France
+198609,3,321140,296644,345636,580,536,624,FR,France
+198608,3,448786,419219,478353,810,757,863,FR,France
+198607,3,490723,460150,521296,886,831,941,FR,France
+198606,3,439300,411764,466836,793,743,843,FR,France
+198605,3,364727,339868,389586,658,613,703,FR,France
+198604,3,348509,322464,374554,629,582,676,FR,France
+198603,3,271539,248654,294424,490,449,531,FR,France
+198602,3,178138,159344,196932,322,288,356,FR,France
+198601,3,112614,96539,128689,203,174,232,FR,France
+198552,3,86452,72250,100654,157,131,183,FR,France
+198551,3,114666,99538,129794,208,181,235,FR,France
+198550,3,86031,73604,98458,156,133,179,FR,France
+198549,3,65931,55326,76536,120,101,139,FR,France
+198548,3,68291,57581,79001,124,105,143,FR,France
+198547,3,66177,55221,77133,120,100,140,FR,France
+198546,3,70534,58788,82280,128,107,149,FR,France
+198545,3,57514,47167,67861,104,85,123,FR,France
+198544,3,67356,55744,78968,122,101,143,FR,France
+198543,3,87402,74208,100596,158,134,182,FR,France
+198542,3,76218,64604,87832,138,117,159,FR,France
+198541,3,45712,36755,54669,83,67,99,FR,France
+198540,3,49739,40335,59143,90,73,107,FR,France
+198539,3,39819,31234,48404,72,56,88,FR,France
+198538,3,27605,20614,34596,50,37,63,FR,France
+198537,3,22219,15626,28812,40,28,52,FR,France
+198536,3,27986,18992,36980,51,35,67,FR,France
+198535,3,30215,18546,41884,55,34,76,FR,France
+198534,3,40389,24786,55992,73,45,101,FR,France
+198533,3,22611,8819,36403,41,16,66,FR,France
+198532,3,7488,1851,13125,14,4,24,FR,France
+198531,3,16958,8479,25437,31,16,46,FR,France
+198530,3,11598,5507,17689,21,10,32,FR,France
+198529,3,13054,6474,19634,24,12,36,FR,France
+198528,3,14588,7659,21517,26,13,39,FR,France
+198527,3,19670,11761,27579,36,22,50,FR,France
+198526,3,18609,12637,24581,34,23,45,FR,France
+198525,3,19362,12454,26270,35,22,48,FR,France
+198524,3,19855,13577,26133,36,25,47,FR,France
+198523,3,19373,10010,28736,35,18,52,FR,France
+198522,3,24099,17190,31008,44,31,57,FR,France
+198521,3,26096,19621,32571,47,35,59,FR,France
+198520,3,27896,20885,34907,51,38,64,FR,France
+198519,3,43154,32821,53487,78,59,97,FR,France
+198518,3,40555,29935,51175,74,55,93,FR,France
+198517,3,34053,24366,43740,62,44,80,FR,France
+198516,3,50362,36451,64273,91,66,116,FR,France
+198515,3,63881,45538,82224,116,83,149,FR,France
+198514,3,134545,114400,154690,244,207,281,FR,France
+198513,3,197206,176080,218332,357,319,395,FR,France
+198512,3,245240,223304,267176,445,405,485,FR,France
+198511,3,276205,252399,300011,501,458,544,FR,France
+198510,3,353231,326279,380183,640,591,689,FR,France
+198509,3,369895,341109,398681,670,618,722,FR,France
+198508,3,389886,359529,420243,707,652,762,FR,France
+198507,3,471852,432599,511105,855,784,926,FR,France
+198506,3,565825,518011,613639,1026,939,1113,FR,France
+198505,3,637302,592795,681809,1155,1074,1236,FR,France
+198504,3,424937,390794,459080,770,708,832,FR,France
+198503,3,213901,174689,253113,388,317,459,FR,France
+198502,3,97586,80949,114223,177,147,207,FR,France
+198501,3,85489,65918,105060,155,120,190,FR,France
+198452,3,84830,60602,109058,154,110,198,FR,France
+198451,3,101726,80242,123210,185,146,224,FR,France
+198450,3,123680,101401,145959,225,184,266,FR,France
+198449,3,101073,81684,120462,184,149,219,FR,France
+198448,3,78620,60634,96606,143,110,176,FR,France
+198447,3,72029,54274,89784,131,99,163,FR,France
+198446,3,87330,67686,106974,159,123,195,FR,France
+198445,3,135223,101414,169032,246,184,308,FR,France
+198444,3,68422,20056,116788,125,37,213,FR,France
diff --git a/module3/exo1/influenza-like-illness-analysis.ipynb b/module3/exo1/influenza-like-illness-analysis.ipynb
index 87092fc69cd90ff457ea56284b789cb0de199a41..48a097d3f55d9d8dd6b9d3fc7f5a9009469b6833 100644
--- a/module3/exo1/influenza-like-illness-analysis.ipynb
+++ b/module3/exo1/influenza-like-illness-analysis.ipynb
@@ -9,10 +9,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
@@ -25,18 +23,18 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The data on the incidence of influenza-like illness are available from the Web site of the [RĂŠseau Sentinelles](http://www.sentiweb.fr/). We download them as a file in CSV format, in which each line corresponds to a week in the observation period. Only the complete dataset, starting in 1984 and ending with a recent week, is available for download."
+    "The data on the incidence of influenza-like illness are available from the Web site of the [RĂŠseau Sentinelles](http://www.sentiweb.fr/). We download them as a file in CSV format, in which each line corresponds to a week in the observation period. Only the complete dataset, starting in 1984 and ending with a recent week, is available for download.\n",
+    "\n",
+    "In this excercise, the dataset is locally downloaded and used offline."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
+    "data_url = \"./incidence-PAY-3.csv\""
    ]
   },
   {
@@ -63,9 +61,976 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202238</td>\n",
+       "      <td>3</td>\n",
+       "      <td>36826</td>\n",
+       "      <td>30171.0</td>\n",
+       "      <td>43481.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>46.0</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202237</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26316</td>\n",
+       "      <td>21398.0</td>\n",
+       "      <td>31234.0</td>\n",
+       "      <td>40</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202236</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19303</td>\n",
+       "      <td>15018.0</td>\n",
+       "      <td>23588.0</td>\n",
+       "      <td>29</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202235</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12914</td>\n",
+       "      <td>9679.0</td>\n",
+       "      <td>16149.0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202234</td>\n",
+       "      <td>3</td>\n",
+       "      <td>10708</td>\n",
+       "      <td>7334.0</td>\n",
+       "      <td>14082.0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202233</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12926</td>\n",
+       "      <td>8869.0</td>\n",
+       "      <td>16983.0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202232</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22257</td>\n",
+       "      <td>16158.0</td>\n",
+       "      <td>28356.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202231</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21828</td>\n",
+       "      <td>16268.0</td>\n",
+       "      <td>27388.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202230</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19663</td>\n",
+       "      <td>14779.0</td>\n",
+       "      <td>24547.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202229</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24268</td>\n",
+       "      <td>18906.0</td>\n",
+       "      <td>29630.0</td>\n",
+       "      <td>37</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202228</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24845</td>\n",
+       "      <td>19214.0</td>\n",
+       "      <td>30476.0</td>\n",
+       "      <td>37</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202227</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40745</td>\n",
+       "      <td>33994.0</td>\n",
+       "      <td>47496.0</td>\n",
+       "      <td>61</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202226</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34010</td>\n",
+       "      <td>28521.0</td>\n",
+       "      <td>39499.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202225</td>\n",
+       "      <td>3</td>\n",
+       "      <td>23377</td>\n",
+       "      <td>19042.0</td>\n",
+       "      <td>27712.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202224</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26328</td>\n",
+       "      <td>21829.0</td>\n",
+       "      <td>30827.0</td>\n",
+       "      <td>40</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202223</td>\n",
+       "      <td>3</td>\n",
+       "      <td>23430</td>\n",
+       "      <td>18950.0</td>\n",
+       "      <td>27910.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202222</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18951</td>\n",
+       "      <td>15099.0</td>\n",
+       "      <td>22803.0</td>\n",
+       "      <td>29</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202221</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13632</td>\n",
+       "      <td>10251.0</td>\n",
+       "      <td>17013.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202220</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19787</td>\n",
+       "      <td>15756.0</td>\n",
+       "      <td>23818.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202219</td>\n",
+       "      <td>3</td>\n",
+       "      <td>17884</td>\n",
+       "      <td>14079.0</td>\n",
+       "      <td>21689.0</td>\n",
+       "      <td>27</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202218</td>\n",
+       "      <td>3</td>\n",
+       "      <td>30353</td>\n",
+       "      <td>25089.0</td>\n",
+       "      <td>35617.0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202217</td>\n",
+       "      <td>3</td>\n",
+       "      <td>36006</td>\n",
+       "      <td>30373.0</td>\n",
+       "      <td>41639.0</td>\n",
+       "      <td>54</td>\n",
+       "      <td>46.0</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202216</td>\n",
+       "      <td>3</td>\n",
+       "      <td>49949</td>\n",
+       "      <td>42836.0</td>\n",
+       "      <td>57062.0</td>\n",
+       "      <td>75</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202215</td>\n",
+       "      <td>3</td>\n",
+       "      <td>100806</td>\n",
+       "      <td>90824.0</td>\n",
+       "      <td>110788.0</td>\n",
+       "      <td>152</td>\n",
+       "      <td>137.0</td>\n",
+       "      <td>167.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202214</td>\n",
+       "      <td>3</td>\n",
+       "      <td>155441</td>\n",
+       "      <td>143891.0</td>\n",
+       "      <td>166991.0</td>\n",
+       "      <td>234</td>\n",
+       "      <td>217.0</td>\n",
+       "      <td>251.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202213</td>\n",
+       "      <td>3</td>\n",
+       "      <td>191914</td>\n",
+       "      <td>179558.0</td>\n",
+       "      <td>204270.0</td>\n",
+       "      <td>289</td>\n",
+       "      <td>270.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202212</td>\n",
+       "      <td>3</td>\n",
+       "      <td>166224</td>\n",
+       "      <td>155035.0</td>\n",
+       "      <td>177413.0</td>\n",
+       "      <td>251</td>\n",
+       "      <td>234.0</td>\n",
+       "      <td>268.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202211</td>\n",
+       "      <td>3</td>\n",
+       "      <td>122849</td>\n",
+       "      <td>113306.0</td>\n",
+       "      <td>132392.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>171.0</td>\n",
+       "      <td>199.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202210</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87904</td>\n",
+       "      <td>79741.0</td>\n",
+       "      <td>96067.0</td>\n",
+       "      <td>133</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>145.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202209</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50182</td>\n",
+       "      <td>43958.0</td>\n",
+       "      <td>56406.0</td>\n",
+       "      <td>76</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1948</th>\n",
+       "      <td>198521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26096</td>\n",
+       "      <td>19621.0</td>\n",
+       "      <td>32571.0</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1949</th>\n",
+       "      <td>198520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27896</td>\n",
+       "      <td>20885.0</td>\n",
+       "      <td>34907.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1950</th>\n",
+       "      <td>198519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43154</td>\n",
+       "      <td>32821.0</td>\n",
+       "      <td>53487.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1951</th>\n",
+       "      <td>198518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40555</td>\n",
+       "      <td>29935.0</td>\n",
+       "      <td>51175.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1952</th>\n",
+       "      <td>198517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34053</td>\n",
+       "      <td>24366.0</td>\n",
+       "      <td>43740.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1953</th>\n",
+       "      <td>198516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50362</td>\n",
+       "      <td>36451.0</td>\n",
+       "      <td>64273.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1954</th>\n",
+       "      <td>198515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>63881</td>\n",
+       "      <td>45538.0</td>\n",
+       "      <td>82224.0</td>\n",
+       "      <td>116</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1955</th>\n",
+       "      <td>198514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>134545</td>\n",
+       "      <td>114400.0</td>\n",
+       "      <td>154690.0</td>\n",
+       "      <td>244</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1956</th>\n",
+       "      <td>198513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>197206</td>\n",
+       "      <td>176080.0</td>\n",
+       "      <td>218332.0</td>\n",
+       "      <td>357</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>395.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1957</th>\n",
+       "      <td>198512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>245240</td>\n",
+       "      <td>223304.0</td>\n",
+       "      <td>267176.0</td>\n",
+       "      <td>445</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958</th>\n",
+       "      <td>198511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>276205</td>\n",
+       "      <td>252399.0</td>\n",
+       "      <td>300011.0</td>\n",
+       "      <td>501</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1959</th>\n",
+       "      <td>198510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>353231</td>\n",
+       "      <td>326279.0</td>\n",
+       "      <td>380183.0</td>\n",
+       "      <td>640</td>\n",
+       "      <td>591.0</td>\n",
+       "      <td>689.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1960</th>\n",
+       "      <td>198509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>369895</td>\n",
+       "      <td>341109.0</td>\n",
+       "      <td>398681.0</td>\n",
+       "      <td>670</td>\n",
+       "      <td>618.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1961</th>\n",
+       "      <td>198508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>389886</td>\n",
+       "      <td>359529.0</td>\n",
+       "      <td>420243.0</td>\n",
+       "      <td>707</td>\n",
+       "      <td>652.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1962</th>\n",
+       "      <td>198507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>471852</td>\n",
+       "      <td>432599.0</td>\n",
+       "      <td>511105.0</td>\n",
+       "      <td>855</td>\n",
+       "      <td>784.0</td>\n",
+       "      <td>926.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1963</th>\n",
+       "      <td>198506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>565825</td>\n",
+       "      <td>518011.0</td>\n",
+       "      <td>613639.0</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>1113.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1964</th>\n",
+       "      <td>198505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>637302</td>\n",
+       "      <td>592795.0</td>\n",
+       "      <td>681809.0</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>1074.0</td>\n",
+       "      <td>1236.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1965</th>\n",
+       "      <td>198504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>424937</td>\n",
+       "      <td>390794.0</td>\n",
+       "      <td>459080.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>708.0</td>\n",
+       "      <td>832.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1966</th>\n",
+       "      <td>198503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>213901</td>\n",
+       "      <td>174689.0</td>\n",
+       "      <td>253113.0</td>\n",
+       "      <td>388</td>\n",
+       "      <td>317.0</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1967</th>\n",
+       "      <td>198502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>97586</td>\n",
+       "      <td>80949.0</td>\n",
+       "      <td>114223.0</td>\n",
+       "      <td>177</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1968</th>\n",
+       "      <td>198501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>85489</td>\n",
+       "      <td>65918.0</td>\n",
+       "      <td>105060.0</td>\n",
+       "      <td>155</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1969</th>\n",
+       "      <td>198452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84830</td>\n",
+       "      <td>60602.0</td>\n",
+       "      <td>109058.0</td>\n",
+       "      <td>154</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1970</th>\n",
+       "      <td>198451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101726</td>\n",
+       "      <td>80242.0</td>\n",
+       "      <td>123210.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1971</th>\n",
+       "      <td>198450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>123680</td>\n",
+       "      <td>101401.0</td>\n",
+       "      <td>145959.0</td>\n",
+       "      <td>225</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>266.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1972</th>\n",
+       "      <td>198449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101073</td>\n",
+       "      <td>81684.0</td>\n",
+       "      <td>120462.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1973</th>\n",
+       "      <td>198448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78620</td>\n",
+       "      <td>60634.0</td>\n",
+       "      <td>96606.0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1974</th>\n",
+       "      <td>198447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>72029</td>\n",
+       "      <td>54274.0</td>\n",
+       "      <td>89784.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1975</th>\n",
+       "      <td>198446</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87330</td>\n",
+       "      <td>67686.0</td>\n",
+       "      <td>106974.0</td>\n",
+       "      <td>159</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1976</th>\n",
+       "      <td>198445</td>\n",
+       "      <td>3</td>\n",
+       "      <td>135223</td>\n",
+       "      <td>101414.0</td>\n",
+       "      <td>169032.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1977</th>\n",
+       "      <td>198444</td>\n",
+       "      <td>3</td>\n",
+       "      <td>68422</td>\n",
+       "      <td>20056.0</td>\n",
+       "      <td>116788.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1978 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     202238          3   36826   30171.0   43481.0      56        46.0   \n",
+       "1     202237          3   26316   21398.0   31234.0      40        33.0   \n",
+       "2     202236          3   19303   15018.0   23588.0      29        23.0   \n",
+       "3     202235          3   12914    9679.0   16149.0      19        14.0   \n",
+       "4     202234          3   10708    7334.0   14082.0      16        11.0   \n",
+       "5     202233          3   12926    8869.0   16983.0      19        13.0   \n",
+       "6     202232          3   22257   16158.0   28356.0      34        25.0   \n",
+       "7     202231          3   21828   16268.0   27388.0      33        25.0   \n",
+       "8     202230          3   19663   14779.0   24547.0      30        23.0   \n",
+       "9     202229          3   24268   18906.0   29630.0      37        29.0   \n",
+       "10    202228          3   24845   19214.0   30476.0      37        29.0   \n",
+       "11    202227          3   40745   33994.0   47496.0      61        51.0   \n",
+       "12    202226          3   34010   28521.0   39499.0      51        43.0   \n",
+       "13    202225          3   23377   19042.0   27712.0      35        28.0   \n",
+       "14    202224          3   26328   21829.0   30827.0      40        33.0   \n",
+       "15    202223          3   23430   18950.0   27910.0      35        28.0   \n",
+       "16    202222          3   18951   15099.0   22803.0      29        23.0   \n",
+       "17    202221          3   13632   10251.0   17013.0      21        16.0   \n",
+       "18    202220          3   19787   15756.0   23818.0      30        24.0   \n",
+       "19    202219          3   17884   14079.0   21689.0      27        21.0   \n",
+       "20    202218          3   30353   25089.0   35617.0      46        38.0   \n",
+       "21    202217          3   36006   30373.0   41639.0      54        46.0   \n",
+       "22    202216          3   49949   42836.0   57062.0      75        64.0   \n",
+       "23    202215          3  100806   90824.0  110788.0     152       137.0   \n",
+       "24    202214          3  155441  143891.0  166991.0     234       217.0   \n",
+       "25    202213          3  191914  179558.0  204270.0     289       270.0   \n",
+       "26    202212          3  166224  155035.0  177413.0     251       234.0   \n",
+       "27    202211          3  122849  113306.0  132392.0     185       171.0   \n",
+       "28    202210          3   87904   79741.0   96067.0     133       121.0   \n",
+       "29    202209          3   50182   43958.0   56406.0      76        67.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1948  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1949  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1950  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1951  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1952  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1953  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1954  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1955  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1956  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1957  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1958  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1959  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1960  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1961  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1962  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1963  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1964  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1965  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1966  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1967  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1968  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1969  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1970  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1971  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1972  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1973  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1974  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1975  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1976  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1977  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          66.0        FR   France  \n",
+       "1          47.0        FR   France  \n",
+       "2          35.0        FR   France  \n",
+       "3          24.0        FR   France  \n",
+       "4          21.0        FR   France  \n",
+       "5          25.0        FR   France  \n",
+       "6          43.0        FR   France  \n",
+       "7          41.0        FR   France  \n",
+       "8          37.0        FR   France  \n",
+       "9          45.0        FR   France  \n",
+       "10         45.0        FR   France  \n",
+       "11         71.0        FR   France  \n",
+       "12         59.0        FR   France  \n",
+       "13         42.0        FR   France  \n",
+       "14         47.0        FR   France  \n",
+       "15         42.0        FR   France  \n",
+       "16         35.0        FR   France  \n",
+       "17         26.0        FR   France  \n",
+       "18         36.0        FR   France  \n",
+       "19         33.0        FR   France  \n",
+       "20         54.0        FR   France  \n",
+       "21         62.0        FR   France  \n",
+       "22         86.0        FR   France  \n",
+       "23        167.0        FR   France  \n",
+       "24        251.0        FR   France  \n",
+       "25        308.0        FR   France  \n",
+       "26        268.0        FR   France  \n",
+       "27        199.0        FR   France  \n",
+       "28        145.0        FR   France  \n",
+       "29         85.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1948       59.0        FR   France  \n",
+       "1949       64.0        FR   France  \n",
+       "1950       97.0        FR   France  \n",
+       "1951       93.0        FR   France  \n",
+       "1952       80.0        FR   France  \n",
+       "1953      116.0        FR   France  \n",
+       "1954      149.0        FR   France  \n",
+       "1955      281.0        FR   France  \n",
+       "1956      395.0        FR   France  \n",
+       "1957      485.0        FR   France  \n",
+       "1958      544.0        FR   France  \n",
+       "1959      689.0        FR   France  \n",
+       "1960      722.0        FR   France  \n",
+       "1961      762.0        FR   France  \n",
+       "1962      926.0        FR   France  \n",
+       "1963     1113.0        FR   France  \n",
+       "1964     1236.0        FR   France  \n",
+       "1965      832.0        FR   France  \n",
+       "1966      459.0        FR   France  \n",
+       "1967      207.0        FR   France  \n",
+       "1968      190.0        FR   France  \n",
+       "1969      198.0        FR   France  \n",
+       "1970      224.0        FR   France  \n",
+       "1971      266.0        FR   France  \n",
+       "1972      219.0        FR   France  \n",
+       "1973      176.0        FR   France  \n",
+       "1974      163.0        FR   France  \n",
+       "1975      195.0        FR   France  \n",
+       "1976      308.0        FR   France  \n",
+       "1977      213.0        FR   France  \n",
+       "\n",
+       "[1978 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "raw_data = pd.read_csv(data_url, skiprows=1)\n",
     "raw_data"
@@ -80,9 +1045,73 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1741</th>\n",
+       "      <td>198919</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator  inc  inc_low  inc_up  inc100  inc100_low  inc100_up  \\\n",
+       "1741  198919          3    0      NaN     NaN       0         NaN        NaN   \n",
+       "\n",
+       "     geo_insee geo_name  \n",
+       "1741        FR   France  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "raw_data[raw_data.isnull().any(axis=1)]"
    ]
@@ -96,9 +1125,976 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202238</td>\n",
+       "      <td>3</td>\n",
+       "      <td>36826</td>\n",
+       "      <td>30171.0</td>\n",
+       "      <td>43481.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>46.0</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202237</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26316</td>\n",
+       "      <td>21398.0</td>\n",
+       "      <td>31234.0</td>\n",
+       "      <td>40</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202236</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19303</td>\n",
+       "      <td>15018.0</td>\n",
+       "      <td>23588.0</td>\n",
+       "      <td>29</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202235</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12914</td>\n",
+       "      <td>9679.0</td>\n",
+       "      <td>16149.0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202234</td>\n",
+       "      <td>3</td>\n",
+       "      <td>10708</td>\n",
+       "      <td>7334.0</td>\n",
+       "      <td>14082.0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202233</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12926</td>\n",
+       "      <td>8869.0</td>\n",
+       "      <td>16983.0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202232</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22257</td>\n",
+       "      <td>16158.0</td>\n",
+       "      <td>28356.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202231</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21828</td>\n",
+       "      <td>16268.0</td>\n",
+       "      <td>27388.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202230</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19663</td>\n",
+       "      <td>14779.0</td>\n",
+       "      <td>24547.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202229</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24268</td>\n",
+       "      <td>18906.0</td>\n",
+       "      <td>29630.0</td>\n",
+       "      <td>37</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202228</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24845</td>\n",
+       "      <td>19214.0</td>\n",
+       "      <td>30476.0</td>\n",
+       "      <td>37</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202227</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40745</td>\n",
+       "      <td>33994.0</td>\n",
+       "      <td>47496.0</td>\n",
+       "      <td>61</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202226</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34010</td>\n",
+       "      <td>28521.0</td>\n",
+       "      <td>39499.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202225</td>\n",
+       "      <td>3</td>\n",
+       "      <td>23377</td>\n",
+       "      <td>19042.0</td>\n",
+       "      <td>27712.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202224</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26328</td>\n",
+       "      <td>21829.0</td>\n",
+       "      <td>30827.0</td>\n",
+       "      <td>40</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202223</td>\n",
+       "      <td>3</td>\n",
+       "      <td>23430</td>\n",
+       "      <td>18950.0</td>\n",
+       "      <td>27910.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202222</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18951</td>\n",
+       "      <td>15099.0</td>\n",
+       "      <td>22803.0</td>\n",
+       "      <td>29</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202221</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13632</td>\n",
+       "      <td>10251.0</td>\n",
+       "      <td>17013.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202220</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19787</td>\n",
+       "      <td>15756.0</td>\n",
+       "      <td>23818.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202219</td>\n",
+       "      <td>3</td>\n",
+       "      <td>17884</td>\n",
+       "      <td>14079.0</td>\n",
+       "      <td>21689.0</td>\n",
+       "      <td>27</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202218</td>\n",
+       "      <td>3</td>\n",
+       "      <td>30353</td>\n",
+       "      <td>25089.0</td>\n",
+       "      <td>35617.0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202217</td>\n",
+       "      <td>3</td>\n",
+       "      <td>36006</td>\n",
+       "      <td>30373.0</td>\n",
+       "      <td>41639.0</td>\n",
+       "      <td>54</td>\n",
+       "      <td>46.0</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202216</td>\n",
+       "      <td>3</td>\n",
+       "      <td>49949</td>\n",
+       "      <td>42836.0</td>\n",
+       "      <td>57062.0</td>\n",
+       "      <td>75</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202215</td>\n",
+       "      <td>3</td>\n",
+       "      <td>100806</td>\n",
+       "      <td>90824.0</td>\n",
+       "      <td>110788.0</td>\n",
+       "      <td>152</td>\n",
+       "      <td>137.0</td>\n",
+       "      <td>167.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202214</td>\n",
+       "      <td>3</td>\n",
+       "      <td>155441</td>\n",
+       "      <td>143891.0</td>\n",
+       "      <td>166991.0</td>\n",
+       "      <td>234</td>\n",
+       "      <td>217.0</td>\n",
+       "      <td>251.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202213</td>\n",
+       "      <td>3</td>\n",
+       "      <td>191914</td>\n",
+       "      <td>179558.0</td>\n",
+       "      <td>204270.0</td>\n",
+       "      <td>289</td>\n",
+       "      <td>270.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202212</td>\n",
+       "      <td>3</td>\n",
+       "      <td>166224</td>\n",
+       "      <td>155035.0</td>\n",
+       "      <td>177413.0</td>\n",
+       "      <td>251</td>\n",
+       "      <td>234.0</td>\n",
+       "      <td>268.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202211</td>\n",
+       "      <td>3</td>\n",
+       "      <td>122849</td>\n",
+       "      <td>113306.0</td>\n",
+       "      <td>132392.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>171.0</td>\n",
+       "      <td>199.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202210</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87904</td>\n",
+       "      <td>79741.0</td>\n",
+       "      <td>96067.0</td>\n",
+       "      <td>133</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>145.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202209</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50182</td>\n",
+       "      <td>43958.0</td>\n",
+       "      <td>56406.0</td>\n",
+       "      <td>76</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1948</th>\n",
+       "      <td>198521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26096</td>\n",
+       "      <td>19621.0</td>\n",
+       "      <td>32571.0</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1949</th>\n",
+       "      <td>198520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27896</td>\n",
+       "      <td>20885.0</td>\n",
+       "      <td>34907.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1950</th>\n",
+       "      <td>198519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43154</td>\n",
+       "      <td>32821.0</td>\n",
+       "      <td>53487.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1951</th>\n",
+       "      <td>198518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40555</td>\n",
+       "      <td>29935.0</td>\n",
+       "      <td>51175.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1952</th>\n",
+       "      <td>198517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34053</td>\n",
+       "      <td>24366.0</td>\n",
+       "      <td>43740.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1953</th>\n",
+       "      <td>198516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50362</td>\n",
+       "      <td>36451.0</td>\n",
+       "      <td>64273.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1954</th>\n",
+       "      <td>198515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>63881</td>\n",
+       "      <td>45538.0</td>\n",
+       "      <td>82224.0</td>\n",
+       "      <td>116</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1955</th>\n",
+       "      <td>198514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>134545</td>\n",
+       "      <td>114400.0</td>\n",
+       "      <td>154690.0</td>\n",
+       "      <td>244</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1956</th>\n",
+       "      <td>198513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>197206</td>\n",
+       "      <td>176080.0</td>\n",
+       "      <td>218332.0</td>\n",
+       "      <td>357</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>395.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1957</th>\n",
+       "      <td>198512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>245240</td>\n",
+       "      <td>223304.0</td>\n",
+       "      <td>267176.0</td>\n",
+       "      <td>445</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958</th>\n",
+       "      <td>198511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>276205</td>\n",
+       "      <td>252399.0</td>\n",
+       "      <td>300011.0</td>\n",
+       "      <td>501</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1959</th>\n",
+       "      <td>198510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>353231</td>\n",
+       "      <td>326279.0</td>\n",
+       "      <td>380183.0</td>\n",
+       "      <td>640</td>\n",
+       "      <td>591.0</td>\n",
+       "      <td>689.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1960</th>\n",
+       "      <td>198509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>369895</td>\n",
+       "      <td>341109.0</td>\n",
+       "      <td>398681.0</td>\n",
+       "      <td>670</td>\n",
+       "      <td>618.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1961</th>\n",
+       "      <td>198508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>389886</td>\n",
+       "      <td>359529.0</td>\n",
+       "      <td>420243.0</td>\n",
+       "      <td>707</td>\n",
+       "      <td>652.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1962</th>\n",
+       "      <td>198507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>471852</td>\n",
+       "      <td>432599.0</td>\n",
+       "      <td>511105.0</td>\n",
+       "      <td>855</td>\n",
+       "      <td>784.0</td>\n",
+       "      <td>926.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1963</th>\n",
+       "      <td>198506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>565825</td>\n",
+       "      <td>518011.0</td>\n",
+       "      <td>613639.0</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>1113.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1964</th>\n",
+       "      <td>198505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>637302</td>\n",
+       "      <td>592795.0</td>\n",
+       "      <td>681809.0</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>1074.0</td>\n",
+       "      <td>1236.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1965</th>\n",
+       "      <td>198504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>424937</td>\n",
+       "      <td>390794.0</td>\n",
+       "      <td>459080.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>708.0</td>\n",
+       "      <td>832.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1966</th>\n",
+       "      <td>198503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>213901</td>\n",
+       "      <td>174689.0</td>\n",
+       "      <td>253113.0</td>\n",
+       "      <td>388</td>\n",
+       "      <td>317.0</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1967</th>\n",
+       "      <td>198502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>97586</td>\n",
+       "      <td>80949.0</td>\n",
+       "      <td>114223.0</td>\n",
+       "      <td>177</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1968</th>\n",
+       "      <td>198501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>85489</td>\n",
+       "      <td>65918.0</td>\n",
+       "      <td>105060.0</td>\n",
+       "      <td>155</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1969</th>\n",
+       "      <td>198452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84830</td>\n",
+       "      <td>60602.0</td>\n",
+       "      <td>109058.0</td>\n",
+       "      <td>154</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1970</th>\n",
+       "      <td>198451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101726</td>\n",
+       "      <td>80242.0</td>\n",
+       "      <td>123210.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1971</th>\n",
+       "      <td>198450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>123680</td>\n",
+       "      <td>101401.0</td>\n",
+       "      <td>145959.0</td>\n",
+       "      <td>225</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>266.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1972</th>\n",
+       "      <td>198449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101073</td>\n",
+       "      <td>81684.0</td>\n",
+       "      <td>120462.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1973</th>\n",
+       "      <td>198448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78620</td>\n",
+       "      <td>60634.0</td>\n",
+       "      <td>96606.0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1974</th>\n",
+       "      <td>198447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>72029</td>\n",
+       "      <td>54274.0</td>\n",
+       "      <td>89784.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1975</th>\n",
+       "      <td>198446</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87330</td>\n",
+       "      <td>67686.0</td>\n",
+       "      <td>106974.0</td>\n",
+       "      <td>159</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1976</th>\n",
+       "      <td>198445</td>\n",
+       "      <td>3</td>\n",
+       "      <td>135223</td>\n",
+       "      <td>101414.0</td>\n",
+       "      <td>169032.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1977</th>\n",
+       "      <td>198444</td>\n",
+       "      <td>3</td>\n",
+       "      <td>68422</td>\n",
+       "      <td>20056.0</td>\n",
+       "      <td>116788.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1977 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     202238          3   36826   30171.0   43481.0      56        46.0   \n",
+       "1     202237          3   26316   21398.0   31234.0      40        33.0   \n",
+       "2     202236          3   19303   15018.0   23588.0      29        23.0   \n",
+       "3     202235          3   12914    9679.0   16149.0      19        14.0   \n",
+       "4     202234          3   10708    7334.0   14082.0      16        11.0   \n",
+       "5     202233          3   12926    8869.0   16983.0      19        13.0   \n",
+       "6     202232          3   22257   16158.0   28356.0      34        25.0   \n",
+       "7     202231          3   21828   16268.0   27388.0      33        25.0   \n",
+       "8     202230          3   19663   14779.0   24547.0      30        23.0   \n",
+       "9     202229          3   24268   18906.0   29630.0      37        29.0   \n",
+       "10    202228          3   24845   19214.0   30476.0      37        29.0   \n",
+       "11    202227          3   40745   33994.0   47496.0      61        51.0   \n",
+       "12    202226          3   34010   28521.0   39499.0      51        43.0   \n",
+       "13    202225          3   23377   19042.0   27712.0      35        28.0   \n",
+       "14    202224          3   26328   21829.0   30827.0      40        33.0   \n",
+       "15    202223          3   23430   18950.0   27910.0      35        28.0   \n",
+       "16    202222          3   18951   15099.0   22803.0      29        23.0   \n",
+       "17    202221          3   13632   10251.0   17013.0      21        16.0   \n",
+       "18    202220          3   19787   15756.0   23818.0      30        24.0   \n",
+       "19    202219          3   17884   14079.0   21689.0      27        21.0   \n",
+       "20    202218          3   30353   25089.0   35617.0      46        38.0   \n",
+       "21    202217          3   36006   30373.0   41639.0      54        46.0   \n",
+       "22    202216          3   49949   42836.0   57062.0      75        64.0   \n",
+       "23    202215          3  100806   90824.0  110788.0     152       137.0   \n",
+       "24    202214          3  155441  143891.0  166991.0     234       217.0   \n",
+       "25    202213          3  191914  179558.0  204270.0     289       270.0   \n",
+       "26    202212          3  166224  155035.0  177413.0     251       234.0   \n",
+       "27    202211          3  122849  113306.0  132392.0     185       171.0   \n",
+       "28    202210          3   87904   79741.0   96067.0     133       121.0   \n",
+       "29    202209          3   50182   43958.0   56406.0      76        67.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1948  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1949  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1950  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1951  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1952  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1953  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1954  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1955  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1956  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1957  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1958  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1959  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1960  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1961  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1962  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1963  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1964  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1965  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1966  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1967  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1968  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1969  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1970  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1971  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1972  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1973  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1974  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1975  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1976  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1977  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          66.0        FR   France  \n",
+       "1          47.0        FR   France  \n",
+       "2          35.0        FR   France  \n",
+       "3          24.0        FR   France  \n",
+       "4          21.0        FR   France  \n",
+       "5          25.0        FR   France  \n",
+       "6          43.0        FR   France  \n",
+       "7          41.0        FR   France  \n",
+       "8          37.0        FR   France  \n",
+       "9          45.0        FR   France  \n",
+       "10         45.0        FR   France  \n",
+       "11         71.0        FR   France  \n",
+       "12         59.0        FR   France  \n",
+       "13         42.0        FR   France  \n",
+       "14         47.0        FR   France  \n",
+       "15         42.0        FR   France  \n",
+       "16         35.0        FR   France  \n",
+       "17         26.0        FR   France  \n",
+       "18         36.0        FR   France  \n",
+       "19         33.0        FR   France  \n",
+       "20         54.0        FR   France  \n",
+       "21         62.0        FR   France  \n",
+       "22         86.0        FR   France  \n",
+       "23        167.0        FR   France  \n",
+       "24        251.0        FR   France  \n",
+       "25        308.0        FR   France  \n",
+       "26        268.0        FR   France  \n",
+       "27        199.0        FR   France  \n",
+       "28        145.0        FR   France  \n",
+       "29         85.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1948       59.0        FR   France  \n",
+       "1949       64.0        FR   France  \n",
+       "1950       97.0        FR   France  \n",
+       "1951       93.0        FR   France  \n",
+       "1952       80.0        FR   France  \n",
+       "1953      116.0        FR   France  \n",
+       "1954      149.0        FR   France  \n",
+       "1955      281.0        FR   France  \n",
+       "1956      395.0        FR   France  \n",
+       "1957      485.0        FR   France  \n",
+       "1958      544.0        FR   France  \n",
+       "1959      689.0        FR   France  \n",
+       "1960      722.0        FR   France  \n",
+       "1961      762.0        FR   France  \n",
+       "1962      926.0        FR   France  \n",
+       "1963     1113.0        FR   France  \n",
+       "1964     1236.0        FR   France  \n",
+       "1965      832.0        FR   France  \n",
+       "1966      459.0        FR   France  \n",
+       "1967      207.0        FR   France  \n",
+       "1968      190.0        FR   France  \n",
+       "1969      198.0        FR   France  \n",
+       "1970      224.0        FR   France  \n",
+       "1971      266.0        FR   France  \n",
+       "1972      219.0        FR   France  \n",
+       "1973      176.0        FR   France  \n",
+       "1974      163.0        FR   France  \n",
+       "1975      195.0        FR   France  \n",
+       "1976      308.0        FR   France  \n",
+       "1977      213.0        FR   France  \n",
+       "\n",
+       "[1977 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "data = raw_data.dropna().copy()\n",
     "data"
@@ -123,10 +2119,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def convert_week(year_and_week_int):\n",
@@ -154,10 +2148,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [],
    "source": [
     "sorted_data = data.set_index('period').sort_index()"
@@ -180,9 +2172,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "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",
@@ -200,9 +2200,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb098234a20>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "sorted_data['inc'].plot()"
    ]
@@ -216,9 +2239,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb09608a898>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "sorted_data['inc'][-200:].plot()"
    ]
@@ -251,10 +2297,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [],
    "source": [
     "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
@@ -273,10 +2317,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [],
    "source": [
     "year = []\n",
@@ -299,9 +2341,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb09608a828>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "yearly_incidence.plot(style='*')"
    ]
@@ -315,9 +2380,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2021     938731\n",
+       "2014    1600941\n",
+       "1991    1659249\n",
+       "1995    1840410\n",
+       "2020    2053781\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": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "yearly_incidence.sort_values()"
    ]
@@ -332,9 +2444,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb095ff4a90>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "yearly_incidence.hist(xrot=20)"
    ]
@@ -365,7 +2500,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,