diff --git a/module3/exo1/incidence-PAY-3.csv b/module3/exo1/incidence-PAY-3.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5f703bfe39ed30fac3f8c8cb29366ea3c10b8db4
--- /dev/null
+++ b/module3/exo1/incidence-PAY-3.csv
@@ -0,0 +1,1907 @@
+# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202117],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2021-05-11T17:29:49+02:00
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
+202117,3,12623,9325,15921,19,14,24,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
+202043,3,43737,37523,49951,66,57,75,FR,France
+202042,3,35145,29812,40478,53,45,61,FR,France
+202041,3,27877,23206,32548,42,35,49,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
+201650,3,126570,115081,138059,194,176,212,FR,France
+201649,3,76390,67374,85406,117,103,131,FR,France
+201648,3,40502,33949,47055,62,52,72,FR,France
+201647,3,22270,17612,26928,34,27,41,FR,France
+201646,3,20816,16125,25507,32,25,39,FR,France
+201645,3,15957,11448,20466,24,17,31,FR,France
+201644,3,15145,10357,19933,23,16,30,FR,France
+201643,3,9378,5830,12926,14,9,19,FR,France
+201642,3,12920,9044,16796,20,14,26,FR,France
+201641,3,13909,9709,18109,21,15,27,FR,France
+201640,3,13379,8969,17789,21,14,28,FR,France
+201639,3,10598,6814,14382,16,10,22,FR,France
+201638,3,5969,3073,8865,9,5,13,FR,France
+201637,3,4065,1538,6592,6,2,10,FR,France
+201636,3,2372,473,4271,4,1,7,FR,France
+201635,3,3420,1350,5490,5,2,8,FR,France
+201634,3,2233,0,4643,3,0,7,FR,France
+201633,3,1567,0,3938,2,0,6,FR,France
+201632,3,2100,93,4107,3,0,6,FR,France
+201631,3,3691,0,9120,6,0,14,FR,France
+201630,3,3209,644,5774,5,1,9,FR,France
+201629,3,1469,0,3073,2,0,4,FR,France
+201628,3,2725,357,5093,4,0,8,FR,France
+201627,3,5905,2343,9467,9,4,14,FR,France
+201626,3,4186,1636,6736,6,2,10,FR,France
+201625,3,4611,1560,7662,7,2,12,FR,France
+201624,3,4977,2404,7550,8,4,12,FR,France
+201623,3,4893,2416,7370,8,4,12,FR,France
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+201618,3,8204,4394,12014,13,7,19,FR,France
+201617,3,13385,8822,17948,21,14,28,FR,France
+201616,3,25670,19632,31708,39,30,48,FR,France
+201615,3,48441,39824,57058,74,61,87,FR,France
+201614,3,92603,81261,103945,142,125,159,FR,France
+201613,3,170654,156387,184921,262,240,284,FR,France
+201612,3,272174,254338,290010,418,391,445,FR,France
+201611,3,304543,286453,322633,467,439,495,FR,France
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+201609,3,229943,214533,245353,353,329,377,FR,France
+201608,3,195067,180874,209260,299,277,321,FR,France
+201607,3,207359,193223,221495,318,296,340,FR,France
+201606,3,196143,182672,209614,301,280,322,FR,France
+201605,3,178963,166296,191630,275,256,294,FR,France
+201604,3,148473,136591,160355,228,210,246,FR,France
+201603,3,75277,66630,83924,116,103,129,FR,France
+201602,3,44617,37821,51413,68,58,78,FR,France
+201601,3,42263,35556,48970,65,55,75,FR,France
+201553,3,24835,19106,30564,38,29,47,FR,France
+201552,3,19495,14319,24671,30,22,38,FR,France
+201551,3,29080,23014,35146,45,36,54,FR,France
+201550,3,25043,19812,30274,39,31,47,FR,France
+201549,3,21479,16686,26272,33,26,40,FR,France
+201548,3,16428,12273,20583,25,19,31,FR,France
+201547,3,14959,10856,19062,23,17,29,FR,France
+201546,3,12599,8237,16961,20,13,27,FR,France
+201545,3,13577,9192,17962,21,14,28,FR,France
+201544,3,14596,10025,19167,23,16,30,FR,France
+201543,3,16749,11745,21753,26,18,34,FR,France
+201542,3,18675,13613,23737,29,21,37,FR,France
+201541,3,13585,9830,17340,21,15,27,FR,France
+201540,3,13100,9349,16851,20,14,26,FR,France
+201539,3,8595,5671,11519,13,8,18,FR,France
+201538,3,8402,4929,11875,13,8,18,FR,France
+201537,3,8817,4089,13545,14,7,21,FR,France
+201536,3,1922,440,3404,3,1,5,FR,France
+201535,3,229,0,644,0,0,1,FR,France
+201534,3,760,0,1618,1,0,2,FR,France
+201533,3,1537,208,2866,2,0,4,FR,France
+201532,3,1594,66,3122,2,0,4,FR,France
+201531,3,2845,475,5215,4,0,8,FR,France
+201530,3,2447,353,4541,4,1,7,FR,France
+201529,3,2389,332,4446,4,1,7,FR,France
+201528,3,2089,105,4073,3,0,6,FR,France
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+200438,3,17483,9417,25549,29,16,42,FR,France
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+199733,3,1799,0,4368,3,0,7,FR,France
+199732,3,2086,0,4411,4,0,8,FR,France
+199731,3,1386,0,3332,2,0,5,FR,France
+199730,3,2116,0,4919,4,0,9,FR,France
+199729,3,1973,0,4347,3,0,7,FR,France
+199728,3,1560,216,2904,3,1,5,FR,France
+199727,3,2540,754,4326,4,1,7,FR,France
+199726,3,5582,2699,8465,10,5,15,FR,France
+199725,3,4012,1090,6934,7,2,12,FR,France
+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
+199720,3,3257,1519,4995,6,3,9,FR,France
+199719,3,4646,2436,6856,8,4,12,FR,France
+199718,3,5246,2764,7728,9,5,13,FR,France
+199717,3,14236,9906,18566,24,17,31,FR,France
+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
+199713,3,18032,13345,22719,31,23,39,FR,France
+199712,3,17199,12707,21691,30,22,38,FR,France
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+199651,3,640627,617388,663866,1106,1066,1146,FR,France
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+199643,3,12971,9311,16631,22,16,28,FR,France
+199642,3,11929,8472,15386,21,15,27,FR,France
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+199640,3,10765,7067,14463,19,13,25,FR,France
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+199638,3,9470,5965,12975,16,10,22,FR,France
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+199636,3,1122,23,2221,2,0,4,FR,France
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+199634,3,1273,122,2424,2,0,4,FR,France
+199633,3,540,0,1246,1,0,2,FR,France
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+199631,3,3010,752,5268,5,1,9,FR,France
+199630,3,2992,706,5278,5,1,9,FR,France
+199629,3,1559,144,2974,3,1,5,FR,France
+199628,3,3109,541,5677,5,1,9,FR,France
+199627,3,4456,1595,7317,8,3,13,FR,France
+199626,3,2871,1138,4604,5,2,8,FR,France
+199625,3,2308,856,3760,4,1,7,FR,France
+199624,3,2490,1067,3913,4,2,6,FR,France
+199623,3,2819,1262,4376,5,2,8,FR,France
+199622,3,4005,1984,6026,7,4,10,FR,France
+199621,3,7042,4291,9793,12,7,17,FR,France
+199620,3,10619,7365,13873,18,12,24,FR,France
+199619,3,11898,8065,15731,21,14,28,FR,France
+199618,3,18338,13352,23324,32,23,41,FR,France
+199617,3,24954,19100,30808,43,33,53,FR,France
+199616,3,29313,23868,34758,51,42,60,FR,France
+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
+199611,3,24427,19499,29355,42,33,51,FR,France
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+199609,3,19594,15228,23960,34,26,42,FR,France
+199608,3,19046,14850,23242,33,26,40,FR,France
+199607,3,23041,18338,27744,40,32,48,FR,France
+199606,3,21810,17153,26467,38,30,46,FR,France
+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
+199601,3,223830,209274,238386,386,361,411,FR,France
+199552,3,397122,378252,415992,688,655,721,FR,France
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+199550,3,604926,583100,626752,1047,1009,1085,FR,France
+199549,3,375500,358200,392800,650,620,680,FR,France
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+199547,3,120472,110526,130418,209,192,226,FR,France
+199546,3,62380,55042,69718,108,95,121,FR,France
+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
+199533,3,905,0,2007,2,0,4,FR,France
+199532,3,700,0,1699,1,0,3,FR,France
+199531,3,1946,92,3800,3,0,6,FR,France
+199530,3,1898,46,3750,3,0,6,FR,France
+199529,3,2148,687,3609,4,1,7,FR,France
+199528,3,3312,1430,5194,6,3,9,FR,France
+199527,3,4853,2683,7023,8,4,12,FR,France
+199526,3,4986,2911,7061,9,5,13,FR,France
+199525,3,4571,2520,6622,8,4,12,FR,France
+199524,3,8058,5054,11062,14,9,19,FR,France
+199523,3,13820,9801,17839,24,17,31,FR,France
+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
+199516,3,140488,129439,151537,243,224,262,FR,France
+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
+199511,3,81730,73346,90114,142,127,157,FR,France
+199510,3,49387,42703,56071,86,74,98,FR,France
+199509,3,39696,33259,46133,69,58,80,FR,France
+199508,3,38008,32225,43791,66,56,76,FR,France
+199507,3,30550,25479,35621,53,44,62,FR,France
+199506,3,37351,32007,42695,65,56,74,FR,France
+199505,3,27876,23218,32534,48,40,56,FR,France
+199504,3,27643,22818,32468,48,40,56,FR,France
+199503,3,24844,20391,29297,43,35,51,FR,France
+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
+199451,3,26912,21750,32074,47,38,56,FR,France
+199450,3,28831,23470,34192,50,41,59,FR,France
+199449,3,21161,16559,25763,37,29,45,FR,France
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+199446,3,14252,10525,17979,25,19,31,FR,France
+199445,3,12152,8448,15856,21,15,27,FR,France
+199444,3,11307,7688,14926,20,14,26,FR,France
+199443,3,11254,8002,14506,20,14,26,FR,France
+199442,3,14406,10653,18159,25,18,32,FR,France
+199441,3,14073,10341,17805,24,18,30,FR,France
+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
+199437,3,5949,3561,8337,10,6,14,FR,France
+199436,3,2806,1133,4479,5,2,8,FR,France
+199435,3,4556,2358,6754,8,4,12,FR,France
+199434,3,3459,1444,5474,6,2,10,FR,France
+199433,3,4272,977,7567,7,1,13,FR,France
+199432,3,4786,1613,7959,8,2,14,FR,France
+199431,3,5027,1580,8474,9,3,15,FR,France
+199430,3,2100,520,3680,4,1,7,FR,France
+199429,3,1188,0,2384,2,0,4,FR,France
+199428,3,1581,316,2846,3,1,5,FR,France
+199427,3,713,0,1459,1,0,2,FR,France
+199426,3,990,80,1900,2,0,4,FR,France
+199425,3,5431,3222,7640,9,5,13,FR,France
+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
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+199342,3,19187,14893,23481,33,26,40,FR,France
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+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
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+199335,3,5589,3066,8112,10,6,14,FR,France
+199334,3,2984,1209,4759,5,2,8,FR,France
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+199330,3,4055,1907,6203,7,3,11,FR,France
+199329,3,3714,1668,5760,6,2,10,FR,France
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+199327,3,2574,918,4230,4,1,7,FR,France
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+199322,3,3432,1849,5015,6,3,9,FR,France
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+199320,3,5137,3157,7117,9,6,12,FR,France
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+199318,3,5027,3075,6979,9,6,12,FR,France
+199317,3,8111,5138,11084,14,9,19,FR,France
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+199315,3,22181,17147,27215,39,30,48,FR,France
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+199253,3,56622,49107,64137,99,86,112,FR,France
+199252,3,49588,42568,56608,87,75,99,FR,France
+199251,3,41156,35024,47288,72,61,83,FR,France
+199250,3,40100,34699,45501,70,61,79,FR,France
+199249,3,39146,33847,44445,69,60,78,FR,France
+199248,3,32392,27499,37285,57,48,66,FR,France
+199247,3,26276,21797,30755,46,38,54,FR,France
+199246,3,22758,18462,27054,40,32,48,FR,France
+199245,3,22023,17804,26242,39,32,46,FR,France
+199244,3,27619,22945,32293,48,40,56,FR,France
+199243,3,24969,20704,29234,44,37,51,FR,France
+199242,3,29980,25261,34699,52,44,60,FR,France
+199241,3,24091,19953,28229,42,35,49,FR,France
+199240,3,17593,13885,21301,31,25,37,FR,France
+199239,3,13535,10301,16769,24,18,30,FR,France
+199238,3,9837,7106,12568,17,12,22,FR,France
+199237,3,7480,5130,9830,13,9,17,FR,France
+199236,3,5155,2958,7352,9,5,13,FR,France
+199235,3,6383,3687,9079,11,6,16,FR,France
+199234,3,2953,922,4984,5,1,9,FR,France
+199233,3,4046,1549,6543,7,3,11,FR,France
+199232,3,4963,2215,7711,9,4,14,FR,France
+199231,3,4233,1733,6733,7,3,11,FR,France
+199230,3,3091,1145,5037,5,2,8,FR,France
+199229,3,3586,1583,5589,6,2,10,FR,France
+199228,3,4179,2133,6225,7,3,11,FR,France
+199227,3,5568,3134,8002,10,6,14,FR,France
+199226,3,5886,3229,8543,10,5,15,FR,France
+199225,3,5304,2805,7803,9,5,13,FR,France
+199224,3,5928,3482,8374,10,6,14,FR,France
+199223,3,3914,1855,5973,7,3,11,FR,France
+199222,3,4899,2641,7157,9,5,13,FR,France
+199221,3,5059,2889,7229,9,5,13,FR,France
+199220,3,4308,2226,6390,8,4,12,FR,France
+199219,3,2982,1181,4783,5,2,8,FR,France
+199218,3,3887,1777,5997,7,3,11,FR,France
+199217,3,3614,1216,6012,6,2,10,FR,France
+199216,3,5460,2934,7986,10,6,14,FR,France
+199215,3,8642,5029,12255,15,9,21,FR,France
+199214,3,11346,7536,15156,20,13,27,FR,France
+199213,3,11693,8096,15290,20,14,26,FR,France
+199212,3,11752,7834,15670,21,14,28,FR,France
+199211,3,11689,7575,15803,20,13,27,FR,France
+199210,3,19224,12971,25477,34,23,45,FR,France
+199209,3,26629,20275,32983,47,36,58,FR,France
+199208,3,37667,30887,44447,66,54,78,FR,France
+199207,3,57312,48777,65847,100,85,115,FR,France
+199206,3,112450,99989,124911,197,175,219,FR,France
+199205,3,165474,151342,179606,290,265,315,FR,France
+199204,3,147959,133595,162323,259,234,284,FR,France
+199203,3,137893,122944,152842,241,215,267,FR,France
+199202,3,185852,166558,205146,325,291,359,FR,France
+199201,3,247688,222574,272802,434,390,478,FR,France
+199152,3,349815,325499,374131,615,572,658,FR,France
+199151,3,378413,355928,400898,666,626,706,FR,France
+199150,3,198721,182878,214564,350,322,378,FR,France
+199149,3,93903,82992,104814,165,146,184,FR,France
+199148,3,45173,37384,52962,79,65,93,FR,France
+199147,3,35691,28224,43158,63,50,76,FR,France
+199146,3,23685,17531,29839,42,31,53,FR,France
+199145,3,19565,13551,25579,34,23,45,FR,France
+199144,3,21571,15477,27665,38,27,49,FR,France
+199143,3,28842,21958,35726,51,39,63,FR,France
+199142,3,27483,20385,34581,48,36,60,FR,France
+199141,3,28185,20655,35715,50,37,63,FR,France
+199140,3,26740,16049,37431,47,28,66,FR,France
+199139,3,14373,8734,20012,25,15,35,FR,France
+199138,3,7460,3700,11220,13,6,20,FR,France
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+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..9a30a743335587b5f82358d5300b1fce12120e28 100644
--- a/module3/exo1/influenza-like-illness-analysis.ipynb
+++ b/module3/exo1/influenza-like-illness-analysis.ipynb
@@ -9,34 +9,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
-    "import isoweek"
+    "import isoweek\n",
+    "import os\n",
+    "import requests"
    ]
   },
   {
    "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, and store them in case either the URL or the format ever change, 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."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
+    "local_data_file_name = \"incidence-PAY-3.csv\"\n",
+    "if not os.path.isfile(local_data_file_name) or os.path.getsize(local_data_file_name) == 0:\n",
+    "    with open(local_data_file_name, 'wb') as local_data_file:\n",
+    "        data_url = f\"http://www.sentiweb.fr/datasets/{local_data_file_name}\"\n",
+    "        r = requests.get(data_url)\n",
+    "        local_data_file.write(r.content)"
    ]
   },
   {
@@ -63,11 +66,978 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "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>202117</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12623</td>\n",
+       "      <td>9325.0</td>\n",
+       "      <td>15921.0</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>1</th>\n",
+       "      <td>202116</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16505</td>\n",
+       "      <td>12735.0</td>\n",
+       "      <td>20275.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202115</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19306</td>\n",
+       "      <td>15398.0</td>\n",
+       "      <td>23214.0</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>202114</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21073</td>\n",
+       "      <td>17099.0</td>\n",
+       "      <td>25047.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202113</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26413</td>\n",
+       "      <td>22094.0</td>\n",
+       "      <td>30732.0</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>5</th>\n",
+       "      <td>202112</td>\n",
+       "      <td>3</td>\n",
+       "      <td>30658</td>\n",
+       "      <td>25919.0</td>\n",
+       "      <td>35397.0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>53.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202111</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24988</td>\n",
+       "      <td>20718.0</td>\n",
+       "      <td>29258.0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202110</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19539</td>\n",
+       "      <td>15951.0</td>\n",
+       "      <td>23127.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202109</td>\n",
+       "      <td>3</td>\n",
+       "      <td>17572</td>\n",
+       "      <td>13926.0</td>\n",
+       "      <td>21218.0</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>9</th>\n",
+       "      <td>202108</td>\n",
+       "      <td>3</td>\n",
+       "      <td>20882</td>\n",
+       "      <td>16907.0</td>\n",
+       "      <td>24857.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202107</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22393</td>\n",
+       "      <td>18303.0</td>\n",
+       "      <td>26483.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202106</td>\n",
+       "      <td>3</td>\n",
+       "      <td>23183</td>\n",
+       "      <td>19134.0</td>\n",
+       "      <td>27232.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202105</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22426</td>\n",
+       "      <td>18445.0</td>\n",
+       "      <td>26407.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202104</td>\n",
+       "      <td>3</td>\n",
+       "      <td>25804</td>\n",
+       "      <td>21491.0</td>\n",
+       "      <td>30117.0</td>\n",
+       "      <td>39</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>46.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202103</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21810</td>\n",
+       "      <td>17894.0</td>\n",
+       "      <td>25726.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202102</td>\n",
+       "      <td>3</td>\n",
+       "      <td>17320</td>\n",
+       "      <td>13906.0</td>\n",
+       "      <td>20734.0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202101</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21799</td>\n",
+       "      <td>17778.0</td>\n",
+       "      <td>25820.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202053</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21220</td>\n",
+       "      <td>16498.0</td>\n",
+       "      <td>25942.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202052</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16428</td>\n",
+       "      <td>12285.0</td>\n",
+       "      <td>20571.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202051</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21619</td>\n",
+       "      <td>17370.0</td>\n",
+       "      <td>25868.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202050</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16845</td>\n",
+       "      <td>13220.0</td>\n",
+       "      <td>20470.0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202049</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12939</td>\n",
+       "      <td>9923.0</td>\n",
+       "      <td>15955.0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202048</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13804</td>\n",
+       "      <td>10641.0</td>\n",
+       "      <td>16967.0</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>23</th>\n",
+       "      <td>202047</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19085</td>\n",
+       "      <td>15285.0</td>\n",
+       "      <td>22885.0</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>24</th>\n",
+       "      <td>202046</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24801</td>\n",
+       "      <td>20503.0</td>\n",
+       "      <td>29099.0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202045</td>\n",
+       "      <td>3</td>\n",
+       "      <td>42516</td>\n",
+       "      <td>36857.0</td>\n",
+       "      <td>48175.0</td>\n",
+       "      <td>65</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202044</td>\n",
+       "      <td>3</td>\n",
+       "      <td>44567</td>\n",
+       "      <td>38521.0</td>\n",
+       "      <td>50613.0</td>\n",
+       "      <td>68</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>77.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202043</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43737</td>\n",
+       "      <td>37523.0</td>\n",
+       "      <td>49951.0</td>\n",
+       "      <td>66</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202042</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35145</td>\n",
+       "      <td>29812.0</td>\n",
+       "      <td>40478.0</td>\n",
+       "      <td>53</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202041</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27877</td>\n",
+       "      <td>23206.0</td>\n",
+       "      <td>32548.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>49.0</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>1875</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>1876</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>1877</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>1878</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>1879</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>1880</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>1881</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>1882</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>1883</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>1884</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>1885</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>1886</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>1887</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>1888</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>1889</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>1890</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>1891</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>1892</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>1893</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>1894</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>1895</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>1896</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>1897</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>1898</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>1899</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>1900</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>1901</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>1902</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>1903</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>1904</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>1905 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     202117          3   12623    9325.0   15921.0      19        14.0   \n",
+       "1     202116          3   16505   12735.0   20275.0      25        19.0   \n",
+       "2     202115          3   19306   15398.0   23214.0      29        23.0   \n",
+       "3     202114          3   21073   17099.0   25047.0      32        26.0   \n",
+       "4     202113          3   26413   22094.0   30732.0      40        33.0   \n",
+       "5     202112          3   30658   25919.0   35397.0      46        39.0   \n",
+       "6     202111          3   24988   20718.0   29258.0      38        32.0   \n",
+       "7     202110          3   19539   15951.0   23127.0      30        25.0   \n",
+       "8     202109          3   17572   13926.0   21218.0      27        21.0   \n",
+       "9     202108          3   20882   16907.0   24857.0      32        26.0   \n",
+       "10    202107          3   22393   18303.0   26483.0      34        28.0   \n",
+       "11    202106          3   23183   19134.0   27232.0      35        29.0   \n",
+       "12    202105          3   22426   18445.0   26407.0      34        28.0   \n",
+       "13    202104          3   25804   21491.0   30117.0      39        32.0   \n",
+       "14    202103          3   21810   17894.0   25726.0      33        27.0   \n",
+       "15    202102          3   17320   13906.0   20734.0      26        21.0   \n",
+       "16    202101          3   21799   17778.0   25820.0      33        27.0   \n",
+       "17    202053          3   21220   16498.0   25942.0      32        25.0   \n",
+       "18    202052          3   16428   12285.0   20571.0      25        19.0   \n",
+       "19    202051          3   21619   17370.0   25868.0      33        27.0   \n",
+       "20    202050          3   16845   13220.0   20470.0      26        20.0   \n",
+       "21    202049          3   12939    9923.0   15955.0      20        15.0   \n",
+       "22    202048          3   13804   10641.0   16967.0      21        16.0   \n",
+       "23    202047          3   19085   15285.0   22885.0      29        23.0   \n",
+       "24    202046          3   24801   20503.0   29099.0      38        31.0   \n",
+       "25    202045          3   42516   36857.0   48175.0      65        56.0   \n",
+       "26    202044          3   44567   38521.0   50613.0      68        59.0   \n",
+       "27    202043          3   43737   37523.0   49951.0      66        57.0   \n",
+       "28    202042          3   35145   29812.0   40478.0      53        45.0   \n",
+       "29    202041          3   27877   23206.0   32548.0      42        35.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1875  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1876  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1877  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1878  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1879  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1880  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1881  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1882  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1883  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1884  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1885  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1886  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1887  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1888  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1889  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1890  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1891  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1892  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1893  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1894  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1895  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1896  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1897  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1898  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1899  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1900  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1901  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1902  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1903  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1904  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          24.0        FR   France  \n",
+       "1          31.0        FR   France  \n",
+       "2          35.0        FR   France  \n",
+       "3          38.0        FR   France  \n",
+       "4          47.0        FR   France  \n",
+       "5          53.0        FR   France  \n",
+       "6          44.0        FR   France  \n",
+       "7          35.0        FR   France  \n",
+       "8          33.0        FR   France  \n",
+       "9          38.0        FR   France  \n",
+       "10         40.0        FR   France  \n",
+       "11         41.0        FR   France  \n",
+       "12         40.0        FR   France  \n",
+       "13         46.0        FR   France  \n",
+       "14         39.0        FR   France  \n",
+       "15         31.0        FR   France  \n",
+       "16         39.0        FR   France  \n",
+       "17         39.0        FR   France  \n",
+       "18         31.0        FR   France  \n",
+       "19         39.0        FR   France  \n",
+       "20         32.0        FR   France  \n",
+       "21         25.0        FR   France  \n",
+       "22         26.0        FR   France  \n",
+       "23         35.0        FR   France  \n",
+       "24         45.0        FR   France  \n",
+       "25         74.0        FR   France  \n",
+       "26         77.0        FR   France  \n",
+       "27         75.0        FR   France  \n",
+       "28         61.0        FR   France  \n",
+       "29         49.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1875       59.0        FR   France  \n",
+       "1876       64.0        FR   France  \n",
+       "1877       97.0        FR   France  \n",
+       "1878       93.0        FR   France  \n",
+       "1879       80.0        FR   France  \n",
+       "1880      116.0        FR   France  \n",
+       "1881      149.0        FR   France  \n",
+       "1882      281.0        FR   France  \n",
+       "1883      395.0        FR   France  \n",
+       "1884      485.0        FR   France  \n",
+       "1885      544.0        FR   France  \n",
+       "1886      689.0        FR   France  \n",
+       "1887      722.0        FR   France  \n",
+       "1888      762.0        FR   France  \n",
+       "1889      926.0        FR   France  \n",
+       "1890     1113.0        FR   France  \n",
+       "1891     1236.0        FR   France  \n",
+       "1892      832.0        FR   France  \n",
+       "1893      459.0        FR   France  \n",
+       "1894      207.0        FR   France  \n",
+       "1895      190.0        FR   France  \n",
+       "1896      198.0        FR   France  \n",
+       "1897      224.0        FR   France  \n",
+       "1898      266.0        FR   France  \n",
+       "1899      219.0        FR   France  \n",
+       "1900      176.0        FR   France  \n",
+       "1901      163.0        FR   France  \n",
+       "1902      195.0        FR   France  \n",
+       "1903      308.0        FR   France  \n",
+       "1904      213.0        FR   France  \n",
+       "\n",
+       "[1905 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "raw_data = pd.read_csv(local_data_file_name, skiprows=1)\n",
     "raw_data"
    ]
   },
@@ -80,9 +1050,73 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "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>1668</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",
+       "1668  198919          3    0      NaN     NaN       0         NaN        NaN   \n",
+       "\n",
+       "     geo_insee geo_name  \n",
+       "1668        FR   France  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "raw_data[raw_data.isnull().any(axis=1)]"
    ]
@@ -96,9 +1130,976 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "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>202117</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12623</td>\n",
+       "      <td>9325.0</td>\n",
+       "      <td>15921.0</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>1</th>\n",
+       "      <td>202116</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16505</td>\n",
+       "      <td>12735.0</td>\n",
+       "      <td>20275.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202115</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19306</td>\n",
+       "      <td>15398.0</td>\n",
+       "      <td>23214.0</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>202114</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21073</td>\n",
+       "      <td>17099.0</td>\n",
+       "      <td>25047.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202113</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26413</td>\n",
+       "      <td>22094.0</td>\n",
+       "      <td>30732.0</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>5</th>\n",
+       "      <td>202112</td>\n",
+       "      <td>3</td>\n",
+       "      <td>30658</td>\n",
+       "      <td>25919.0</td>\n",
+       "      <td>35397.0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>53.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202111</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24988</td>\n",
+       "      <td>20718.0</td>\n",
+       "      <td>29258.0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202110</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19539</td>\n",
+       "      <td>15951.0</td>\n",
+       "      <td>23127.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202109</td>\n",
+       "      <td>3</td>\n",
+       "      <td>17572</td>\n",
+       "      <td>13926.0</td>\n",
+       "      <td>21218.0</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>9</th>\n",
+       "      <td>202108</td>\n",
+       "      <td>3</td>\n",
+       "      <td>20882</td>\n",
+       "      <td>16907.0</td>\n",
+       "      <td>24857.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202107</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22393</td>\n",
+       "      <td>18303.0</td>\n",
+       "      <td>26483.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202106</td>\n",
+       "      <td>3</td>\n",
+       "      <td>23183</td>\n",
+       "      <td>19134.0</td>\n",
+       "      <td>27232.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202105</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22426</td>\n",
+       "      <td>18445.0</td>\n",
+       "      <td>26407.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202104</td>\n",
+       "      <td>3</td>\n",
+       "      <td>25804</td>\n",
+       "      <td>21491.0</td>\n",
+       "      <td>30117.0</td>\n",
+       "      <td>39</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>46.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202103</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21810</td>\n",
+       "      <td>17894.0</td>\n",
+       "      <td>25726.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202102</td>\n",
+       "      <td>3</td>\n",
+       "      <td>17320</td>\n",
+       "      <td>13906.0</td>\n",
+       "      <td>20734.0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202101</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21799</td>\n",
+       "      <td>17778.0</td>\n",
+       "      <td>25820.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202053</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21220</td>\n",
+       "      <td>16498.0</td>\n",
+       "      <td>25942.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202052</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16428</td>\n",
+       "      <td>12285.0</td>\n",
+       "      <td>20571.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202051</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21619</td>\n",
+       "      <td>17370.0</td>\n",
+       "      <td>25868.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202050</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16845</td>\n",
+       "      <td>13220.0</td>\n",
+       "      <td>20470.0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202049</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12939</td>\n",
+       "      <td>9923.0</td>\n",
+       "      <td>15955.0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202048</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13804</td>\n",
+       "      <td>10641.0</td>\n",
+       "      <td>16967.0</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>23</th>\n",
+       "      <td>202047</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19085</td>\n",
+       "      <td>15285.0</td>\n",
+       "      <td>22885.0</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>24</th>\n",
+       "      <td>202046</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24801</td>\n",
+       "      <td>20503.0</td>\n",
+       "      <td>29099.0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202045</td>\n",
+       "      <td>3</td>\n",
+       "      <td>42516</td>\n",
+       "      <td>36857.0</td>\n",
+       "      <td>48175.0</td>\n",
+       "      <td>65</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202044</td>\n",
+       "      <td>3</td>\n",
+       "      <td>44567</td>\n",
+       "      <td>38521.0</td>\n",
+       "      <td>50613.0</td>\n",
+       "      <td>68</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>77.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202043</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43737</td>\n",
+       "      <td>37523.0</td>\n",
+       "      <td>49951.0</td>\n",
+       "      <td>66</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202042</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35145</td>\n",
+       "      <td>29812.0</td>\n",
+       "      <td>40478.0</td>\n",
+       "      <td>53</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202041</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27877</td>\n",
+       "      <td>23206.0</td>\n",
+       "      <td>32548.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>49.0</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>1875</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>1876</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>1877</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>1878</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>1879</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>1880</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>1881</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>1882</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>1883</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>1884</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>1885</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>1886</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>1887</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>1888</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>1889</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>1890</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>1891</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>1892</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>1893</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>1894</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>1895</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>1896</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>1897</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>1898</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>1899</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>1900</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>1901</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>1902</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>1903</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>1904</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>1904 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     202117          3   12623    9325.0   15921.0      19        14.0   \n",
+       "1     202116          3   16505   12735.0   20275.0      25        19.0   \n",
+       "2     202115          3   19306   15398.0   23214.0      29        23.0   \n",
+       "3     202114          3   21073   17099.0   25047.0      32        26.0   \n",
+       "4     202113          3   26413   22094.0   30732.0      40        33.0   \n",
+       "5     202112          3   30658   25919.0   35397.0      46        39.0   \n",
+       "6     202111          3   24988   20718.0   29258.0      38        32.0   \n",
+       "7     202110          3   19539   15951.0   23127.0      30        25.0   \n",
+       "8     202109          3   17572   13926.0   21218.0      27        21.0   \n",
+       "9     202108          3   20882   16907.0   24857.0      32        26.0   \n",
+       "10    202107          3   22393   18303.0   26483.0      34        28.0   \n",
+       "11    202106          3   23183   19134.0   27232.0      35        29.0   \n",
+       "12    202105          3   22426   18445.0   26407.0      34        28.0   \n",
+       "13    202104          3   25804   21491.0   30117.0      39        32.0   \n",
+       "14    202103          3   21810   17894.0   25726.0      33        27.0   \n",
+       "15    202102          3   17320   13906.0   20734.0      26        21.0   \n",
+       "16    202101          3   21799   17778.0   25820.0      33        27.0   \n",
+       "17    202053          3   21220   16498.0   25942.0      32        25.0   \n",
+       "18    202052          3   16428   12285.0   20571.0      25        19.0   \n",
+       "19    202051          3   21619   17370.0   25868.0      33        27.0   \n",
+       "20    202050          3   16845   13220.0   20470.0      26        20.0   \n",
+       "21    202049          3   12939    9923.0   15955.0      20        15.0   \n",
+       "22    202048          3   13804   10641.0   16967.0      21        16.0   \n",
+       "23    202047          3   19085   15285.0   22885.0      29        23.0   \n",
+       "24    202046          3   24801   20503.0   29099.0      38        31.0   \n",
+       "25    202045          3   42516   36857.0   48175.0      65        56.0   \n",
+       "26    202044          3   44567   38521.0   50613.0      68        59.0   \n",
+       "27    202043          3   43737   37523.0   49951.0      66        57.0   \n",
+       "28    202042          3   35145   29812.0   40478.0      53        45.0   \n",
+       "29    202041          3   27877   23206.0   32548.0      42        35.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1875  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1876  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1877  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1878  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1879  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1880  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1881  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1882  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1883  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1884  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1885  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1886  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1887  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1888  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1889  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1890  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1891  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1892  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1893  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1894  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1895  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1896  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1897  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1898  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1899  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1900  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1901  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1902  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1903  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1904  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          24.0        FR   France  \n",
+       "1          31.0        FR   France  \n",
+       "2          35.0        FR   France  \n",
+       "3          38.0        FR   France  \n",
+       "4          47.0        FR   France  \n",
+       "5          53.0        FR   France  \n",
+       "6          44.0        FR   France  \n",
+       "7          35.0        FR   France  \n",
+       "8          33.0        FR   France  \n",
+       "9          38.0        FR   France  \n",
+       "10         40.0        FR   France  \n",
+       "11         41.0        FR   France  \n",
+       "12         40.0        FR   France  \n",
+       "13         46.0        FR   France  \n",
+       "14         39.0        FR   France  \n",
+       "15         31.0        FR   France  \n",
+       "16         39.0        FR   France  \n",
+       "17         39.0        FR   France  \n",
+       "18         31.0        FR   France  \n",
+       "19         39.0        FR   France  \n",
+       "20         32.0        FR   France  \n",
+       "21         25.0        FR   France  \n",
+       "22         26.0        FR   France  \n",
+       "23         35.0        FR   France  \n",
+       "24         45.0        FR   France  \n",
+       "25         74.0        FR   France  \n",
+       "26         77.0        FR   France  \n",
+       "27         75.0        FR   France  \n",
+       "28         61.0        FR   France  \n",
+       "29         49.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1875       59.0        FR   France  \n",
+       "1876       64.0        FR   France  \n",
+       "1877       97.0        FR   France  \n",
+       "1878       93.0        FR   France  \n",
+       "1879       80.0        FR   France  \n",
+       "1880      116.0        FR   France  \n",
+       "1881      149.0        FR   France  \n",
+       "1882      281.0        FR   France  \n",
+       "1883      395.0        FR   France  \n",
+       "1884      485.0        FR   France  \n",
+       "1885      544.0        FR   France  \n",
+       "1886      689.0        FR   France  \n",
+       "1887      722.0        FR   France  \n",
+       "1888      762.0        FR   France  \n",
+       "1889      926.0        FR   France  \n",
+       "1890     1113.0        FR   France  \n",
+       "1891     1236.0        FR   France  \n",
+       "1892      832.0        FR   France  \n",
+       "1893      459.0        FR   France  \n",
+       "1894      207.0        FR   France  \n",
+       "1895      190.0        FR   France  \n",
+       "1896      198.0        FR   France  \n",
+       "1897      224.0        FR   France  \n",
+       "1898      266.0        FR   France  \n",
+       "1899      219.0        FR   France  \n",
+       "1900      176.0        FR   France  \n",
+       "1901      163.0        FR   France  \n",
+       "1902      195.0        FR   France  \n",
+       "1903      308.0        FR   France  \n",
+       "1904      213.0        FR   France  \n",
+       "\n",
+       "[1904 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "data = raw_data.dropna().copy()\n",
     "data"
@@ -123,10 +2124,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def convert_week(year_and_week_int):\n",
@@ -154,10 +2153,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "sorted_data = data.set_index('period').sort_index()"
@@ -180,9 +2177,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n"
+     ]
+    }
+   ],
    "source": [
     "periods = sorted_data.index\n",
     "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
@@ -200,9 +2205,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f28789466a0>"
+      ]
+     },
+     "execution_count": 9,
+     "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 +2244,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2876817668>"
+      ]
+     },
+     "execution_count": 10,
+     "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 +2302,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [],
    "source": [
     "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
@@ -273,10 +2322,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [],
    "source": [
     "year = []\n",
@@ -299,9 +2346,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f28767bbb00>"
+      ]
+     },
+     "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": [
     "yearly_incidence.plot(style='*')"
    ]
@@ -315,9 +2385,55 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "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": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "yearly_incidence.sort_values()"
    ]
@@ -332,9 +2448,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2876720b38>"
+      ]
+     },
+     "execution_count": 15,
+     "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)"
    ]
@@ -342,9 +2481,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": []
   }
@@ -365,7 +2502,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,