diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 268d1933fa647c67d63673ae796cbda2c9df0ac8..6923a30def63be623277549d58f1b5b678b25046 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -28,11 +28,11 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ - "data_url = \"https://www.sentiweb.fr/datasets/incidence-PAY-25.csv?v=dbw4m\"" + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" ] }, { @@ -59,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -99,390 +99,390 @@ " \n", " 0\n", " 202407\n", - " 25\n", - " 237334\n", - " 219625\n", - " 255043\n", - " 356\n", - " 329\n", - " 383\n", + " 3\n", + " 163687\n", + " 148996.0\n", + " 178378.0\n", + " 245\n", + " 223.0\n", + " 267.0\n", " FR\n", " France\n", " \n", " \n", " 1\n", " 202406\n", - 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205 rows × 10 columns

\n", + "

2051 rows × 10 columns

\n", "" ], "text/plain": [ - " week indicator inc inc_low inc_up inc100 inc100_low \\\n", - "0 202407 25 237334 219625 255043 356 329 \n", - "1 202406 25 266382 251899 280865 399 377 \n", - "2 202405 25 301224 286226 316222 452 430 \n", - "3 202404 25 312596 297185 328007 469 446 \n", - "4 202403 25 260433 246176 274690 390 369 \n", - "5 202402 25 223175 209907 236443 335 315 \n", - "6 202401 25 207680 192579 222781 311 288 \n", - "7 202352 25 204801 189186 220416 308 285 \n", - "8 202351 25 281235 264279 298191 423 397 \n", - "9 202350 25 281168 265632 296704 423 400 \n", - "10 202349 25 286802 271137 302467 431 407 \n", - "11 202348 25 247301 232152 262450 372 349 \n", - "12 202347 25 224971 210414 239528 338 316 \n", - "13 202346 25 170563 157940 183186 257 238 \n", - "14 202345 25 150125 137230 163020 226 207 \n", - "15 202344 25 108608 98016 119200 163 147 \n", - "16 202343 25 105159 94706 115612 158 142 \n", - "17 202342 25 123120 111942 134298 185 168 \n", - "18 202341 25 126477 115697 137257 190 174 \n", - "19 202340 25 145262 132323 158201 219 200 \n", - "20 202339 25 156932 144286 169578 236 217 \n", - "21 202338 25 140770 128842 152698 212 194 \n", - "22 202337 25 109440 98918 119962 165 149 \n", - "23 202336 25 90802 81444 100160 137 123 \n", - "24 202335 25 75353 66521 84185 113 100 \n", - "25 202334 25 62298 53692 70904 94 81 \n", - "26 202333 25 51315 41862 60768 77 63 \n", - "27 202332 25 44411 36803 52019 67 56 \n", - "28 202331 25 45046 37089 53003 68 56 \n", - "29 202330 25 43645 35319 51971 66 53 \n", - ".. ... ... ... ... ... ... ... \n", - "175 202041 25 81954 73921 89987 124 112 \n", - "176 202040 25 67761 60310 75212 103 92 \n", - "177 202039 25 68999 61350 76648 105 93 \n", - "178 202038 25 88638 80122 97154 135 122 \n", - "179 202037 25 56454 49776 63132 86 76 \n", - "180 202036 25 24149 19991 28307 37 31 \n", - "181 202035 25 19831 15528 24134 30 23 \n", - "182 202034 25 11690 7876 15504 18 12 \n", - "183 202033 25 10848 7145 14551 16 10 \n", - "184 202032 25 11409 7422 15396 17 11 \n", - "185 202031 25 13366 9412 17320 20 14 \n", - "186 202030 25 21428 16609 26247 33 26 \n", - "187 202029 25 22240 17578 26902 34 27 \n", - "188 202028 25 17581 13715 21447 27 21 \n", - "189 202027 25 10817 7957 13677 16 12 \n", - "190 202026 25 7126 4846 9406 11 8 \n", - "191 202025 25 7053 4747 9359 11 7 \n", - "192 202024 25 5269 3493 7045 8 5 \n", - "193 202023 25 6768 4615 8921 10 7 \n", - "194 202022 25 8748 6192 11304 13 9 \n", - "195 202021 25 14651 11353 17949 22 17 \n", - "196 202020 25 28416 23875 32957 43 36 \n", - "197 202019 25 27347 22880 31814 42 35 \n", - "198 202018 25 34618 29499 39737 53 45 \n", - "199 202017 25 45903 40032 51774 70 61 \n", - "200 202016 25 60969 54118 67820 93 83 \n", - "201 202015 25 95364 86665 104063 145 132 \n", - "202 202014 25 213772 201334 226210 325 306 \n", - "203 202013 25 297819 283636 312002 452 430 \n", - "204 202012 25 273062 259400 286724 415 394 \n", + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202407 3 163687 148996.0 178378.0 245 223.0 \n", + "1 202406 3 191550 179309.0 203791.0 287 269.0 \n", + "2 202405 3 216237 203595.0 228879.0 324 305.0 \n", + "3 202404 3 213196 200547.0 225845.0 320 301.0 \n", + "4 202403 3 163457 152276.0 174638.0 245 228.0 \n", + "5 202402 3 129436 119453.0 139419.0 194 179.0 \n", + "6 202401 3 120769 109452.0 132086.0 181 164.0 \n", + "7 202352 3 115446 103738.0 127154.0 174 156.0 \n", + "8 202351 3 148755 136546.0 160964.0 224 206.0 \n", + "9 202350 3 147971 136787.0 159155.0 223 206.0 \n", + "10 202349 3 147552 136422.0 158682.0 222 205.0 \n", + "11 202348 3 124204 113479.0 134929.0 187 171.0 \n", + "12 202347 3 110910 100658.0 121162.0 167 152.0 \n", + "13 202346 3 83853 75096.0 92610.0 126 113.0 \n", + "14 202345 3 72003 63178.0 80828.0 108 95.0 \n", + "15 202344 3 49952 42813.0 57091.0 75 64.0 \n", + "16 202343 3 44982 38170.0 51794.0 68 58.0 \n", + "17 202342 3 56842 49277.0 64407.0 86 75.0 \n", + "18 202341 3 58357 51032.0 65682.0 88 77.0 \n", + "19 202340 3 68894 60069.0 77719.0 104 91.0 \n", + "20 202339 3 72003 63452.0 80554.0 108 95.0 \n", + "21 202338 3 63218 55227.0 71209.0 95 83.0 \n", + "22 202337 3 49085 42079.0 56091.0 74 63.0 \n", + "23 202336 3 38247 32237.0 44257.0 58 49.0 \n", + "24 202335 3 31695 26013.0 37377.0 48 39.0 \n", + "25 202334 3 26663 21057.0 32269.0 40 32.0 \n", + "26 202333 3 19144 13161.0 25127.0 29 20.0 \n", + "27 202332 3 14641 10285.0 18997.0 22 15.0 \n", + "28 202331 3 15286 10705.0 19867.0 23 16.0 \n", + "29 202330 3 13205 8647.0 17763.0 20 13.0 \n", + "... ... ... ... ... ... ... ... \n", + "2021 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2022 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2023 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2024 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2025 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2026 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2027 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2028 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2029 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2030 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2031 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2032 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2033 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2034 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2035 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2036 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2037 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2038 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2039 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2040 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2041 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2042 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2043 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2044 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2045 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2046 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2047 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2048 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2049 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2050 198444 3 68422 20056.0 116788.0 125 37.0 \n", "\n", - " inc100_up geo_insee geo_name \n", - "0 383 FR France \n", - "1 421 FR France \n", - "2 474 FR France \n", - "3 492 FR France \n", - "4 411 FR France \n", - "5 355 FR France \n", - "6 334 FR France \n", - "7 331 FR France \n", - "8 449 FR France \n", - "9 446 FR France \n", - "10 455 FR France \n", - "11 395 FR France \n", - "12 360 FR France \n", - "13 276 FR France \n", - "14 245 FR France \n", - "15 179 FR France \n", - "16 174 FR France \n", - "17 202 FR France \n", - "18 206 FR France \n", - "19 238 FR France \n", - "20 255 FR France \n", - "21 230 FR France \n", - "22 181 FR France \n", - "23 151 FR France \n", - "24 126 FR France \n", - "25 107 FR France \n", - "26 91 FR France \n", - "27 78 FR France \n", - "28 80 FR France \n", - "29 79 FR France \n", - ".. ... ... ... \n", - "175 136 FR France \n", - "176 114 FR France \n", - "177 117 FR France \n", - "178 148 FR France \n", - "179 96 FR France \n", - "180 43 FR France \n", - "181 37 FR France \n", - "182 24 FR France \n", - "183 22 FR France \n", - "184 23 FR France \n", - "185 26 FR France \n", - "186 40 FR France \n", - "187 41 FR France \n", - "188 33 FR France \n", - "189 20 FR France \n", - "190 14 FR France \n", - "191 15 FR France \n", - "192 11 FR France \n", - "193 13 FR France \n", - "194 17 FR France \n", - "195 27 FR France \n", - "196 50 FR France \n", - "197 49 FR France \n", - "198 61 FR France \n", - "199 79 FR France \n", - "200 103 FR France \n", - "201 158 FR France \n", - "202 344 FR France \n", - "203 474 FR France \n", - "204 436 FR France \n", + " inc100_up geo_insee geo_name \n", + "0 267.0 FR France \n", + "1 305.0 FR France \n", + "2 343.0 FR France \n", + "3 339.0 FR France \n", + "4 262.0 FR France \n", + "5 209.0 FR France \n", + "6 198.0 FR France \n", + "7 192.0 FR France \n", + "8 242.0 FR France \n", + "9 240.0 FR France \n", + "10 239.0 FR France \n", + "11 203.0 FR France \n", + "12 182.0 FR France \n", + "13 139.0 FR France \n", + "14 121.0 FR France \n", + "15 86.0 FR France \n", + "16 78.0 FR France \n", + "17 97.0 FR France \n", + "18 99.0 FR France \n", + "19 117.0 FR France \n", + "20 121.0 FR France \n", + "21 107.0 FR France \n", + "22 85.0 FR France \n", + "23 67.0 FR France \n", + "24 57.0 FR France \n", + "25 48.0 FR France \n", + "26 38.0 FR France \n", + "27 29.0 FR France \n", + "28 30.0 FR France \n", + "29 27.0 FR France \n", + "... ... ... ... \n", + "2021 59.0 FR France \n", + "2022 64.0 FR France \n", + "2023 97.0 FR France \n", + "2024 93.0 FR France \n", + "2025 80.0 FR France \n", + "2026 116.0 FR France \n", + "2027 149.0 FR France \n", + "2028 281.0 FR France \n", + "2029 395.0 FR France \n", + "2030 485.0 FR France \n", + "2031 544.0 FR France \n", + "2032 689.0 FR France \n", + "2033 722.0 FR France \n", + "2034 762.0 FR France \n", + "2035 926.0 FR France \n", + "2036 1113.0 FR France \n", + "2037 1236.0 FR France \n", + "2038 832.0 FR France \n", + "2039 459.0 FR France \n", + "2040 207.0 FR France \n", + "2041 190.0 FR France \n", + "2042 198.0 FR France \n", + "2043 224.0 FR France \n", + "2044 266.0 FR France \n", + "2045 219.0 FR France \n", + "2046 176.0 FR France \n", + "2047 163.0 FR France \n", + "2048 195.0 FR France \n", + "2049 308.0 FR France \n", + "2050 213.0 FR France \n", "\n", - "[205 rows x 10 columns]" + "[2051 rows x 10 columns]" ] }, - "execution_count": 4, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1043,7 +1043,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -1080,17 +1080,32 @@ " \n", " \n", " \n", + " \n", + " 1814\n", + " 198919\n", + " 3\n", + " -\n", + " NaN\n", + " NaN\n", + " -\n", + " NaN\n", + " NaN\n", + " FR\n", + " France\n", + " \n", " \n", "\n", "" ], "text/plain": [ - "Empty DataFrame\n", - "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n", - "Index: []" + " week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n", + "1814 198919 3 - NaN NaN - NaN NaN \n", + "\n", + " geo_insee geo_name \n", + "1814 FR France " ] }, - "execution_count": 5, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -1108,7 +1123,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1148,390 +1163,390 @@ " \n", " 0\n", " 202407\n", - 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205 rows × 10 columns

\n", + "

2050 rows × 10 columns

\n", "" ], "text/plain": [ - " week indicator inc inc_low inc_up inc100 inc100_low \\\n", - "0 202407 25 237334 219625 255043 356 329 \n", - "1 202406 25 266382 251899 280865 399 377 \n", - "2 202405 25 301224 286226 316222 452 430 \n", - "3 202404 25 312596 297185 328007 469 446 \n", - "4 202403 25 260433 246176 274690 390 369 \n", - "5 202402 25 223175 209907 236443 335 315 \n", - "6 202401 25 207680 192579 222781 311 288 \n", - "7 202352 25 204801 189186 220416 308 285 \n", - "8 202351 25 281235 264279 298191 423 397 \n", - "9 202350 25 281168 265632 296704 423 400 \n", - "10 202349 25 286802 271137 302467 431 407 \n", - "11 202348 25 247301 232152 262450 372 349 \n", - "12 202347 25 224971 210414 239528 338 316 \n", - "13 202346 25 170563 157940 183186 257 238 \n", - "14 202345 25 150125 137230 163020 226 207 \n", - "15 202344 25 108608 98016 119200 163 147 \n", - "16 202343 25 105159 94706 115612 158 142 \n", - "17 202342 25 123120 111942 134298 185 168 \n", - "18 202341 25 126477 115697 137257 190 174 \n", - "19 202340 25 145262 132323 158201 219 200 \n", - "20 202339 25 156932 144286 169578 236 217 \n", - "21 202338 25 140770 128842 152698 212 194 \n", - "22 202337 25 109440 98918 119962 165 149 \n", - "23 202336 25 90802 81444 100160 137 123 \n", - "24 202335 25 75353 66521 84185 113 100 \n", - "25 202334 25 62298 53692 70904 94 81 \n", - "26 202333 25 51315 41862 60768 77 63 \n", - "27 202332 25 44411 36803 52019 67 56 \n", - "28 202331 25 45046 37089 53003 68 56 \n", - "29 202330 25 43645 35319 51971 66 53 \n", - ".. ... ... ... ... ... ... ... \n", - "175 202041 25 81954 73921 89987 124 112 \n", - "176 202040 25 67761 60310 75212 103 92 \n", - "177 202039 25 68999 61350 76648 105 93 \n", - "178 202038 25 88638 80122 97154 135 122 \n", - "179 202037 25 56454 49776 63132 86 76 \n", - "180 202036 25 24149 19991 28307 37 31 \n", - "181 202035 25 19831 15528 24134 30 23 \n", - "182 202034 25 11690 7876 15504 18 12 \n", - "183 202033 25 10848 7145 14551 16 10 \n", - "184 202032 25 11409 7422 15396 17 11 \n", - "185 202031 25 13366 9412 17320 20 14 \n", - "186 202030 25 21428 16609 26247 33 26 \n", - "187 202029 25 22240 17578 26902 34 27 \n", - "188 202028 25 17581 13715 21447 27 21 \n", - "189 202027 25 10817 7957 13677 16 12 \n", - "190 202026 25 7126 4846 9406 11 8 \n", - "191 202025 25 7053 4747 9359 11 7 \n", - "192 202024 25 5269 3493 7045 8 5 \n", - "193 202023 25 6768 4615 8921 10 7 \n", - "194 202022 25 8748 6192 11304 13 9 \n", - "195 202021 25 14651 11353 17949 22 17 \n", - "196 202020 25 28416 23875 32957 43 36 \n", - "197 202019 25 27347 22880 31814 42 35 \n", - "198 202018 25 34618 29499 39737 53 45 \n", - "199 202017 25 45903 40032 51774 70 61 \n", - "200 202016 25 60969 54118 67820 93 83 \n", - "201 202015 25 95364 86665 104063 145 132 \n", - "202 202014 25 213772 201334 226210 325 306 \n", - "203 202013 25 297819 283636 312002 452 430 \n", - "204 202012 25 273062 259400 286724 415 394 \n", + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202407 3 163687 148996.0 178378.0 245 223.0 \n", + "1 202406 3 191550 179309.0 203791.0 287 269.0 \n", + "2 202405 3 216237 203595.0 228879.0 324 305.0 \n", + "3 202404 3 213196 200547.0 225845.0 320 301.0 \n", + "4 202403 3 163457 152276.0 174638.0 245 228.0 \n", + "5 202402 3 129436 119453.0 139419.0 194 179.0 \n", + "6 202401 3 120769 109452.0 132086.0 181 164.0 \n", + "7 202352 3 115446 103738.0 127154.0 174 156.0 \n", + "8 202351 3 148755 136546.0 160964.0 224 206.0 \n", + "9 202350 3 147971 136787.0 159155.0 223 206.0 \n", + "10 202349 3 147552 136422.0 158682.0 222 205.0 \n", + "11 202348 3 124204 113479.0 134929.0 187 171.0 \n", + "12 202347 3 110910 100658.0 121162.0 167 152.0 \n", + "13 202346 3 83853 75096.0 92610.0 126 113.0 \n", + "14 202345 3 72003 63178.0 80828.0 108 95.0 \n", + "15 202344 3 49952 42813.0 57091.0 75 64.0 \n", + "16 202343 3 44982 38170.0 51794.0 68 58.0 \n", + "17 202342 3 56842 49277.0 64407.0 86 75.0 \n", + "18 202341 3 58357 51032.0 65682.0 88 77.0 \n", + "19 202340 3 68894 60069.0 77719.0 104 91.0 \n", + "20 202339 3 72003 63452.0 80554.0 108 95.0 \n", + "21 202338 3 63218 55227.0 71209.0 95 83.0 \n", + "22 202337 3 49085 42079.0 56091.0 74 63.0 \n", + "23 202336 3 38247 32237.0 44257.0 58 49.0 \n", + "24 202335 3 31695 26013.0 37377.0 48 39.0 \n", + "25 202334 3 26663 21057.0 32269.0 40 32.0 \n", + "26 202333 3 19144 13161.0 25127.0 29 20.0 \n", + "27 202332 3 14641 10285.0 18997.0 22 15.0 \n", + "28 202331 3 15286 10705.0 19867.0 23 16.0 \n", + "29 202330 3 13205 8647.0 17763.0 20 13.0 \n", + "... ... ... ... ... ... ... ... \n", + "2021 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2022 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2023 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2024 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2025 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2026 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2027 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2028 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2029 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2030 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2031 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2032 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2033 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2034 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2035 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2036 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2037 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2038 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2039 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2040 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2041 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2042 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2043 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2044 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2045 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2046 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2047 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2048 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2049 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2050 198444 3 68422 20056.0 116788.0 125 37.0 \n", "\n", - " inc100_up geo_insee geo_name \n", - "0 383 FR France \n", - "1 421 FR France \n", - "2 474 FR France \n", - "3 492 FR France \n", - "4 411 FR France \n", - "5 355 FR France \n", - "6 334 FR France \n", - "7 331 FR France \n", - "8 449 FR France \n", - "9 446 FR France \n", - "10 455 FR France \n", - "11 395 FR France \n", - "12 360 FR France \n", - "13 276 FR France \n", - "14 245 FR France \n", - "15 179 FR France \n", - "16 174 FR France \n", - "17 202 FR France \n", - "18 206 FR France \n", - "19 238 FR France \n", - "20 255 FR France \n", - "21 230 FR France \n", - "22 181 FR France \n", - "23 151 FR France \n", - "24 126 FR France \n", - "25 107 FR France \n", - "26 91 FR France \n", - "27 78 FR France \n", - "28 80 FR France \n", - "29 79 FR France \n", - ".. ... ... ... \n", - "175 136 FR France \n", - "176 114 FR France \n", - "177 117 FR France \n", - "178 148 FR France \n", - "179 96 FR France \n", - "180 43 FR France \n", - "181 37 FR France \n", - "182 24 FR France \n", - "183 22 FR France \n", - "184 23 FR France \n", - "185 26 FR France \n", - "186 40 FR France \n", - "187 41 FR France \n", - "188 33 FR France \n", - "189 20 FR France \n", - "190 14 FR France \n", - "191 15 FR France \n", - "192 11 FR France \n", - "193 13 FR France \n", - "194 17 FR France \n", - "195 27 FR France \n", - "196 50 FR France \n", - "197 49 FR France \n", - "198 61 FR France \n", - "199 79 FR France \n", - "200 103 FR France \n", - "201 158 FR France \n", - "202 344 FR France \n", - "203 474 FR France \n", - "204 436 FR France \n", + " inc100_up geo_insee geo_name \n", + "0 267.0 FR France \n", + "1 305.0 FR France \n", + "2 343.0 FR France \n", + "3 339.0 FR France \n", + "4 262.0 FR France \n", + "5 209.0 FR France \n", + "6 198.0 FR France \n", + "7 192.0 FR France \n", + "8 242.0 FR France \n", + "9 240.0 FR France \n", + "10 239.0 FR France \n", + "11 203.0 FR France \n", + "12 182.0 FR France \n", + "13 139.0 FR France \n", + "14 121.0 FR France \n", + "15 86.0 FR France \n", + "16 78.0 FR France \n", + "17 97.0 FR France \n", + "18 99.0 FR France \n", + "19 117.0 FR France \n", + "20 121.0 FR France \n", + "21 107.0 FR France \n", + "22 85.0 FR France \n", + "23 67.0 FR France \n", + "24 57.0 FR France \n", + "25 48.0 FR France \n", + "26 38.0 FR France \n", + "27 29.0 FR France \n", + "28 30.0 FR France \n", + "29 27.0 FR France \n", + "... ... ... ... \n", + "2021 59.0 FR France \n", + "2022 64.0 FR France \n", + "2023 97.0 FR France \n", + "2024 93.0 FR France \n", + "2025 80.0 FR France \n", + "2026 116.0 FR France \n", + "2027 149.0 FR France \n", + "2028 281.0 FR France \n", + "2029 395.0 FR France \n", + "2030 485.0 FR France \n", + "2031 544.0 FR France \n", + "2032 689.0 FR France \n", + "2033 722.0 FR France \n", + "2034 762.0 FR France \n", + "2035 926.0 FR France \n", + "2036 1113.0 FR France \n", + "2037 1236.0 FR France \n", + "2038 832.0 FR France \n", + "2039 459.0 FR France \n", + "2040 207.0 FR France \n", + "2041 190.0 FR France \n", + "2042 198.0 FR France \n", + "2043 224.0 FR France \n", + "2044 266.0 FR France \n", + "2045 219.0 FR France \n", + "2046 176.0 FR France \n", + "2047 163.0 FR France \n", + "2048 195.0 FR France \n", + "2049 308.0 FR France \n", + "2050 213.0 FR France \n", "\n", - "[205 rows x 10 columns]" + "[2050 rows x 10 columns]" ] }, - "execution_count": 6, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2103,7 +2118,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -2133,7 +2148,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -2158,9 +2173,17 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 31, "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", @@ -2178,22 +2201,57 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "Empty 'DataFrame': no numeric data to plot", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msorted_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'inc'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 2501\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2502\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1926\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1927\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 1928\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1929\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m 1727\u001b[0m \u001b[0mplot_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubplots\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1728\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1729\u001b[0;31m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1730\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1731\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 251\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 363\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 364\u001b[0m raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m--> 365\u001b[0;31m 'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m 366\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 367\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot" + ] + } + ], + "source": [ + "sorted_data['inc'].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data['inc'] = sorted_data['inc'].astype(int)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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vLFQikKtRR36wfcu90uczlPPTVKzfqKPaB17ZisvuWoy7X9wYKX8lEULgjy9twUCEIIRyBV/UkoPtPRlusFCJQD2p1wfDMi2VQoXHmohr/tqxrx8AsGVPX6T8leTvK3biq/ctxQ3z3ig5b73fU6b+YaESgbzHm/fYsu2Yv2JHWetyTH6ssxdejQjjmh0qdV6FORfFDVRVRhUqBft9pOwVZZ9cYqVz30DkMmr1rM2ZuxA3PLaqNpUzZYGFSgS8+qHL716Cy+5aXNW21IOgiR39VSFzRZ+cHd4oo4Icdcoq/fwufiSkJPUaYHhRTR9YlJqE67faPPVGJ256fE2kvOxSqQ9YqESgmuavul5Qss5DiftkaGmTSajE9B1IRSWCUIlWXykozTGKAFN56m2ibSkM46YfFLBQiUA9RfwcDD6VSp2DmgRn0lQiKig2yvxVslApsZ4onXscc6Rfbfm8wMrt+6IXXmk4/KsuYKESgWpGf9W3T6W+ynGjJjaaJvLF1fDUd21K9amUKiSi3HM11ySS+csn0w8fXYVZP3kG6+p8sck6e00OOVioRKBm81QMr0ttVyku1zyVypyFvYyMz76oKE2l1LaX+uiUqgkBhQF7nMfUVO285dsBAIP1GJ3A1A0sVCJQVU0laH8tJz/WOH9g+RWsQPlUSvWvlaohVf/ueteoJoqmEmxmYrxhoRKBWs1TMc6or34ziiqPHVIcvyVG/Eb5cQWOiv4qdYBRar1RNJVCXVEc9fLXcFfUba4jl6IDFnX1AQuVCMR18pZCUMdQD36Weo0CUx0yGaRenM7aq8xKEMmnQjF8KiHKjXvtKk2dN++gh4VKBGq3TEv41GoQO5y5wk339alUtmpPqqGpxBF3tqZiqFaVW08rSuhw8Fd9wEIlAtUcqdXn62tRvstQmbP0N3+VKx661MMr69h3VVZ6Fr/rYs9/idac6lH3DTyoYaESgWpGfzlDig3RX7Wcp1Kucip0Dn7lHtSaiur8Y5yl73yV+pcqTA1hoRKBejJ/1TakOGZ+Nau9DG0xUfCpGOquo3voe3yMeSpRUNWZrk+9m7+Y+oCFSgSq+1LVr6M+rk+l0m1Xt8nUycatO2q3XfrkxzjRX+XNU3DUR2wQc0jAQiUC1Yz+0jGHFNfQUV8ut0TFzF8+mkq56qjw8VE68EQM30cY7bEaWl6scGgWejUltlAhoiQRvUxED8n/24loHhGtlr+jtGOvIqI1RLSKiC7S0s8gotfkvptIDomIKENE98r0BUQ0RcszR9axmojmxD2PUqjVMi0HKxWbUe9bZ0WqDKTufSrBfvqqaOpRqjgEXpVhQTk0lS8DWKH9fyWA+UKIYwDMl/+DiKYBmA3gRACzANxMRGqlv18AuBzAMfJvlky/DMAeIcTRAG4E8ANZVjuAqwGcBWAGgKt14VVpamZTNmkqB4OjvkzluPHrkGvmbK7q5McIeYo2CpRj+ZewRDnv4byy8sFELKFCRBMBvBfAr7TkSwDcJbfvAvBBLf0eIcSAEGI9gDUAZhDR4QDahBAvCOup+LUrjyrrfgAXSi3mIgDzhBBdQog9AOahIIgqTq1Cio1rfw1jT32lm+7X+cX2qUR0qpS8TEukdkaf/GjXayy1epMfo9RRT6uHH8rE1VR+AuAbAHQvwzghxDYAkL9jZfoEAJu147bItAly253uyCOEyALoBjDap6yqUE8Pr95JPbFyZ5XrLlM5FfeplH+V4qiUeq7RZtSXnsddnzH6K+I3ZOK0o6Q85W8GE4HIQoWI3gdgpxBiSdgshjThkx41j7NSosuJaDERLe7s7AzV0CDqael7Pe0zdy6qfIM86o5VToW6A9/2DQ/rVw3MX8GZ6tX8lbcFYpkbE4L+oRxueGwV+uU3fA5l4mgq5wD4ABFtAHAPgHcS0W8A7JAmLchfNXzeAmCSln8igK0yfaIh3ZGHiFIARgLo8imrCCHEbUKI6UKI6R0dHdHO1EWtor/qjVrNSg+Lv0+lPHVUOkQ43jIt0SOo/KiGph7JUV9DW/Bdz2/ATY+vwe3Prq9ZG+qFyEJFCHGVEGKiEGIKLAf840KITwB4EICKxpoD4AG5/SCA2TKiayosh/xCaSLrIaKzpb/kU648qqwPyzoEgEcBzCSiUdJBP1OmVQWTplK5CCahbdcXcdtT6U6gME/FUHeN5tiUHIIcyfxVhsmPPuXWq0/Fb4XlStM/lJe/rKmkKlDm9wHcR0SXAdgE4CMAIIRYRkT3AVgOIAvgCiGEugNfAHAngCYAj8g/ALgdwN1EtAaWhjJbltVFRNcBUPaea4UQXRU4FyOmkVo9LYdfCp09A3h50x7MPHF8eRoUgUpHf5n62Li3K2rHWo2Q4sJ35s37h3J5dPUOYlxbo08ZxWnVXPpeRLAG1HLOFlOgLEJFCPEkgCfl9m4AF3ocdz2A6w3piwGcZEjvhxRKhn1zAcyN2uY4mASIrr0IIcq2NHrg2l8xX6Q5cxdi+bZ9WH7tRWhOl/Y4VHLyYzm0GN/JjzWKXKtG9JeftgEAV/3xNdy/ZAtWXjcLjQ1Jxz5bIJm+pxLxw2RRGG4+FQUvlMwz6iNhMn/pL1rFoplMaTHr2rKnDwAwmC19aBjb/OWzrxz9lu+CkjHLL3S+pWYs7fBYZiCPvI8usz4LPGC453612ZMq69z8VQtYSyrAQiUCppdRFyrltDkHFRW3pnTKegSGctHNLHExz7+JX7afYIp7j6rlU4njsPbKqtpuVKZDjPYrFf2o3/Mo582rJ9cHLFQicGAwW5SmR4SV0zrgcNRXwEyUSiihUruQNvOaZvr+aOdo+1QMRon4PpVo+UqfpxJB2AfU5Vem34i7MPmx5CaFQi+XZ8cPX1ioRKB3oDjCI+cYZQ2fFyKVtDqKKEKlkhHF+jWMrBX4Ourj+lTiCbrwx5deR1jt1hRw4pe30uav2JpKPqJJspzw5ydZqEShP2sQKhXyqTgc9SYzUczy00nrEYjmU6mcCcl53tHwDSmOeZMiayol1xPFYR3O/FXqMjaVXlBSLzaST6WMbSm57uEzjqw4LFQiYBrh5WukqcStKiHXSa/Vh8eA4A4+rvnLvC9SkQUCwna9swnjdkA1pdURUL66Lqbr41tfhb+nog9SYglT7uBrCguVElCabTZgnkrFhIqx2PLUFWWVgKqZv6KWW+JIvBSq5VOpxGq9tvnLGKIeXEalnm9n+Hy8/EztYKESgaDJj5UbyRnS4moqMRYJLNtpGgMQzNulYJ+Twc4dP/orvv0+TBMq0rkq85dhIOEnTOzJjxV6wPWqY036rKEhjD0qLFRKQj3nJk3F6Vgu30Nd6dFXnOXMK9k24diOVpEtUwz74jvqI+arhqaivt7okVXt99VUDPkq/T0Vp/krSn75WwOZwkpSARYqETDOqK+GpmIa0Zep7CjO13KNCE3llCP6y2+ZlpqZv0pcy60Sa2CptpfsU4nRpjDEddT7+YqY6sFCJSS69mHqgMvhqO8fymFP76Cz3oCuJ+77E2f0WTafSoD5K4jbnl6L37y4sSi9spMf42lPYYk2CdC/rqC1wbz2Fdb+qpT5K562Hyaqjak8LFRCoj/jZkd9YTvqS/ep2xfitOvmebehAjPP1RplccqpRGixs4Pxz//dv67Et/78elF6YfJjMXE7nshzZxxlhCkkhm/B0/xlYdZOvf0S9irFVQkpjp6/lpoKT1NhoRIJ00NbjnkqCzcUL7QcdiJbVCo99yAqQfNzwpXhna9Wkx9L/55KhDrkr1cHJ3w6X9/Jj/LXb0WfOXMX4r8eKBbwoYjrqLd9SbVwqtTX+1NLWKiERH9kghz11Qi59EsrhXjmr3L5VPzT4obvGj8nHLPtBRNTaeUIj23PeqL4ukK2yVR0GGe3X/lPvdGJX79QbIoM1x7tHYoR4u7X9u8/shKfvmNh6YUzoWGhEhLHEhIRHfUvrN0dqpNwmH709OBmlkycpTcK0VXxdH5T3eWIpvOfUR+pyNj5q+FTCdO5WvtL1FQq/I1650AigqM+H+yov+WptXhyVemfFb/yD6/izufWl5zvUISFSkiCNJVcgNB5cd1uXPrLF/G/T6wJrKsUU1Rcf4YSCFFm1FdS4Xeav6JRyRn10TvW0sykcRaUDMLvnpv22M9KhdYeLcWPZswvfythyb1n0WZc85flgXXHHWAdDLBQCYn+kBujvwJ8Kr0D1srGL23aE1iXvgx9YERMFcxf27v7sSiCvycsZvNXfB+V3wTFWjlzS602SivDnptx8qPfHJcyaCpCCPx+8Wb7fXC0J6ZPpbBMC/s3agkLlZDonZxJqGQd5q/i/eqrin2Dwd+w1hd3DHo9yvX6+L3EM298Ch+55QVD3WXyqQT5iiJW4+f3iO1TibgirvO0gnNXclKqqWy/wYUag8e5dks27sHX738V//XAsqJ9cdf+qmVIccF/V/266w0WKiEpRVOJOwr2MktUxlEfHCa6r794VOloQ2zh4m/bj7vMvFlTCc5/w2OrPO3okY1fwrztRZzor1LaYtcnK0z4dI5hzF8mTQQAeuWgamdPv2974gSO8OTH2sJCJQJB36g3vRCljGCq8WliRWFCW+l5K9m2IM1Qsb27uHMqlGFhyh6m47np8TWedvSoHVepArISC0oq/D6LnTA8sKU46td27jemF7Sd4n1OgRvdl1Rn0fGHHCxUQhI8+dHf92EnhRqdhn8rymWCClOn+7zK9e4aR8y6ZujTtrO/N99zn31OJZp5wlDK/TTmC318dc1f6lqbNJXC5QyuwGsgYEcbBizNE+dzwtGumcAdz63H3r7B4IN9YOsXC5XQBNl7g16IUgSF81h/rSWutmCvUhziLS4SpvZLHK8NpuzOEO6I5apOMKD8aGUr01pp5ZQcUhxpvka4SkzHKWFgntsjjwlRftxVr2OteRbh1r64rgv//ZfluPYh7wgv37p5SUkbFiohCdZUCttBM+6DKC2kOB5UwoeXsq6p1PZgvVyjfo+0qB8Qs53pFRDGUc+91Kg2r0OeW7MLm3b3GfeFfXxMxxWEiqktymcRXLb7WVH4hdzG9UuWskyLexDVuX8AAHAgRCCNHyxagFStGzAcyRmGj7ogCPK5BKEXH+SwLlf4ZJgXcSifRxOSRW2rxCjN4bSNaKvK+7QvrjM36oq4JWsqHhk+/qsFAIAN339vcR32r39lfl8wNflU7E7b4344Fl0NONGg6xDt9oS/J3khkNAEnDJ7jWiM1yVykABrKqHRH5UoqxQXQlBD2KNL8qnEo5SPdBVrKuHNXx+6+Tn8+oUNxn1GYamlmTTDMNgdv8GEpBdZqxVxQz0LFVymxfScqXucNDhVgqKrgiIkAX0FB//80WbUq7whjnUd0z9kaSiZVNJwdDC1Cmfeua8fH7r5OWM0Xa1goRKSoKXvAzWVEp42r0/pVmIQVMpHurIesaRhmvXypr3GuQlACPNXxDc17OTHeMvLl5a51M5yKML09bBVmAMkpPnLcHw+oOPMBbwjermVcNSXsqCk+z4M+QjTMKhzr/bEy9+8uBEvb9qL/1uwqar1+sFCJSSxNZWSzF8l2N3L9AyHcQgPujq4qBFQodoTcD3DYDfPGI0Xr/wwWtqvnlmHbd0HXPWat73w8k2EaVsQfr4/84fNhOMYv/KiffTNv21BBH1HxlGX6xh9wnEU7CCGKqsqqjaTubJWsFAJSdDI2ampFOdXaWEe+JxHh2fKGnvtLyqu0wtPR33MNpjPq0DUFzXs2l/xZm+b827rPoDvPLwCn7ljkTNfifVUUlMxOup9fCp+Qtpdr9c9K4zoTe3RB1PlvydedQGFAVPkxUvtxSwjZY+Mn2ZZK1iohEV/YQKiuyrmqDeOuEMXa6SUVYqzebOmEj/6y1+TiC5UVFmmfSVogwYK/gXz/qS8sDt7Boz5gHACJopQCR39ZXpOc95CJR9wzs6Vuj2Eik/jnMEZnof55A/fsReZv6SmEjXSsFbmL3WuiYhmu0rAQiUkDsexwSQRNMoqJYLJqZ345yvXMxym7xrycNRXIuIlrtPWKsO7faWaodwUIsv89ysHsF1XifW4r3kYYpm/1MjXZ/KjV8erp3sFV/gtnRPfJFlcjhduoaWEt0nohSn+XgjNAAAgAElEQVSvFC2pnKjq6sj6xUIlLEGdnN4pB2kyQTiONW/6ppl4dvUuvLGjpyg9QaU46l3H2C+Sf74ggWp01GvbkTUVZXI01hmzA7O1IHNe1Um5O9cgzdOdHsf8FXRaxkm6Ptda3QevducDtHUrXTWyeJ9zUVbPZngSpEn5zYNRdZuFSvi6K/VZAC/UvfCb/7Nm534sWLe7Wk2KLlSIaBIRPUFEK4hoGRF9Waa3E9E8Ilotf0dpea4iojVEtIqILtLSzyCi1+S+m0jOyCOiDBHdK9MXENEULc8cWcdqIpoT9TzCoj9XQd9T8TN/hXlXgtYRi8Inbl+AmTc+XZReivlryG3+Ur8BeYNMCkGBD3F9KuaPgJnrKrXs0s084Ue9QLRw6vBffiw+LmsLDu92eZmmsqGEinfbsh6ffAhLkLagP7/uY1S7gt5tL1T+qmsq8tfP+vWuG57Cx257sSrtAeJpKlkAXxNCnADgbABXENE0AFcCmC+EOAbAfPk/5L7ZAE4EMAvAzUSkgsJ/AeByAMfIv1ky/TIAe4QQRwO4EcAPZFntAK4GcBaAGQCu1oVXJQj68mPQbOBSzF9Ou7v+ovkfG4XCh5dCCBWPCJmgrEFlB5mnKu1TiTXXxCOv3Tm5lbsAzdOdbopKCrrnoR31voMf731enWw4TcW7fGenb27zeT98Al/83cvm+n2CAACgq3dQO9a5T90vvwmhfgSFmK/t3I97F5U/7Fe196AwfwkhtgkhXpLbPQBWAJgA4BIAd8nD7gLwQbl9CYB7hBADQoj1ANYAmEFEhwNoE0K8IKw78mtXHlXW/QAulFrMRQDmCSG6hBB7AMxDQRBVBP1ZC1pQ0hj9VULnn/Nw1Ju6objjolK+UV9sygk3Ogva7zcqBqI7T/18PnEnP0bVVMLUpJdpMn8Fmhvl/qCOxs/8ZdwXdM4htEu/e6lrKl51bOrqw1+WbjXuUzm88t761LrCsR6aismFFebxCAoSeO9Nz+A//vBacEElUtBU6keqlMWnIs1SpwFYAGCcEGIbYAkeAGPlYRMAbNaybZFpE+S2O92RRwiRBdANYLRPWaa2XU5Ei4locWdn6d+mVjgWlIxgrimsQxVelbbq1doQ8YEPQ6hlWjzmqVRCU3FoEj526jGtGQBAe0u6aJ+fYzn2p2sDzl1FyrlH5GECBILMX3GFuN9xhdB372fYS+vWhUKQNmPanfUxT4XBnuzqkVWfZ+WlqQQtweRFkPmrf8g7ECAO9bgsTGyhQkStAP4A4N+EEPv8DjWkCZ/0qHmciULcJoSYLoSY3tHR4dM8f4JGzkFffixpkUgPJ7L5RY33UFEMR736L9CnEnDugT4Xn/1HHNYIwGxTtp2nAdF6lfh0bc6j8yx1trfJ/BVWSAc76k3PqZqvYTre+etXXrD5qxinT8Vchx+FZVrMmTvkAMR0jDrvIP+eZ932tfE/NkrghR+quoNGUyGiBlgC5bdCiD/K5B3SpAX5u1OmbwEwScs+EcBWmT7RkO7IQ0QpACMBdPmUVTHUw5JMULRlWkp4SRydqC7MKjCzqpSPdHnNUwl6kYI7weI0vUg/f5RfxI9KM432HeUb6/dvc0GgmvdnPTpP4fmPVzkmn4p/Hr+wXdNxOn4BJUGj8aB3QC/fRGxNJSDEXV8s0t0+JdDMVgZ921y2bf4KkBlxhMr3/roCf31tm7HeMNNUqjXbP070FwG4HcAKIcQN2q4HAcyR23MAPKClz5YRXVNhOeQXShNZDxGdLcv8lCuPKuvDAB6XfpdHAcwkolHSQT9TplUM9ZymPIRKOR31TvOXVq7heYyr/doz6sM46j3nqfjnC16x1n906BcBlfMZnRbCPE37/OsPuq5B/iSv5VXC2ecL20ZNJdD8pQryr8f0PPldz6BzDiVUfMzAQw6firnNfvgFZgDAfu0Tx+5jbJ9KgKbSnzUvjZ8LuDaKKPOOFLc+vQ7/+tuXXG2zfk3fv3ETdymasMRZ5/kcAJ8E8BoRvSLTvgng+wDuI6LLAGwC8BEAEEIsI6L7ACyHFTl2hRBC3aEvALgTQBOAR+QfYAmtu4loDSwNZbYsq4uIrgOg1sC4VgjRFeNcAlEPS0MyUfGQYq/Z3kbfQIjy/FAzv8MJFQ9NJUgTCXiWjXMDAvYX2qBGiN6dYJBfwlR82KXbg3wqRfn0aD6Pu+c0I/nv98vvJxi89vv5POyO0+N+hnLU+9xLfaJorLlDHvt7NaHiOU8l4Fno6c+iOV3cbQaZBhVlN3/Jsw1j/RrM5tGUjrYKcylEFipCiGfhveTMhR55rgdwvSF9MYCTDOn9kELJsG8ugLlh2xsXW1NJkjG0NiicsqRVih0f/NK3Sx9RB6EexjDzIbxG34Hmr7Aja42wkxP9/AfqOgbdD2P4bMD1COrAPEfkYTQVbTtI6xVCFI1SC59Z8G6Xlbd4vx1aa9i5Y9+A5z532Z6Oep/B1cBQ4cGP+klgv/YN+USXFbRaU7Rd4dj1u3oxrq3R85igd6Hc2kKQdqYzkM0BaChr/SZ4Rn1ICuavYE3F3MGFf0mcZWkvgnFEH1yuX92q+GdXB0fGuSc/2uUHNCF4Rr1Jkyhs+3Xwfg5SdW1MWkPQBNOw2oBX5+clpPVUryqCggiCwtv9rkk2oOP3EtLrd/X6tglwCRWPAYhXAAPgNC1FMX+pLGHaVxT9FdKn4vVlyLyPMNZxr/QdF1VdmEHrQJXMXyxUQqIelnSSfEMxAfPLWtqCkvooWq8jmqbip4WoPS9t2htcjtunEnJ0FiWkWD/zMJqKn6M+0AcWQbMM7MBy5hF5qT6VIC3Lbx064+AmQGB5nbfTdGQ8JJSm4hf9FWT+CtJe7GchhHnOc55KgKn0wJCHUPF5DnWimr+ClvQJYy5koVJnqJuW8vCphJ2nEmYE5nQiF7aDBNOY1uK5Gl7tKZQfXtgV+VTsMvzzBS/TUpwWVlMp+Da8O0hTfv0emjtfzyod9QUtWVJs/TIPGFwHFdVjqhswa49+c6KC1tfyivDSQ1a9OrBSQopN6OYvv0GCF7ZJMkDQm8rK+oQU62l9XpqKz3MIFMzMQ9kIKphHu4DCOQeZr9saU+gYkfE9plywUAmJumWpJEGI4tFt0LLf9hIXIdb09jZ/eberrTGFEw5vM5bn5TS22hrYHK0ct6aiyggYQfo40b3yB43W3XlNTVBCMG+4X7Gj9YTjp4igTsCPwAGKtt+sqXi3ze2PceNlnkokio9x45j86CVUfC6APmgxR4f5vztB2oLf2mRhZ9R7aipKGHtUrkRyVPOXtznVe+AEFL7WOnvGZIxsqrw/BWChEhr1kDfIt8v9cgR/Ttj564en+cvHJJBIkGeH5TvSD26OjTtAIezS92bbvVZOgKkjlFAxnImu7hfdL2G+xoqwHZi3TyX408ueI+oAf4/T/OXtWPZzxLvLcdddFB0VYmJimOgv+9k2FDKgz3iPYJIMXjrHex6M34x6h/lrMFu0P0zdStOLav7yymdrSB7X5n0/exYAkE5Wr6tnoRISdc9SSXMIbl4I+/vWfqPLMA57rwgdv847QeTptPf1qQQIBMcy7F4dRcApBU8W9S/Tb3RbmEVdvE9/Eb1Gplbe4sxX/F9hPoA5QMI7LxA9Us5dn1nLK2yb7olfB+fU0Lzrdu/zu5aFvAg8xl4GxrBPNw2ZsgeZeLIefiy7bsdAxt0uJVRM+QoHP/zqtuIDoJu/zHUr81fU6C+v+S22o97juVq53frcRTrFQqWu2NzVh8dXWgsDpKTEN3VSDUnvJU8KS2t7P1SFxR31UXS4DsYvTD2MT8KrfL9RcZANu1CuIS3I/BVw3u68pjL0F9jdITnnAhXnXbRhj2/7fAbcAMKZiLw7P2HcNpVtXILG59PVTl9S8QFeIcUfuvn5QvkhtLOgD3kZ71cu5/sOmbQyR9k+viRrfzRNRS9v6ZZuY9lBmqsK+/Z7//3wOvewg9VkFb8MGWfy4yHDu254yjalNChtRBR3Ug3JBPqH8ubRTghHvclHEeSwLkx+8jZ/+Ud/CcdxadfDp+ct8qkY2mjCL3QV8HgRA87bXY4QxXM2HKNrV+frF17qJidE0YsSOKPec6QewqcWYKIKdNT7tC1IQ1NpukDWO6wEhQuFDjJ/md6RwWwejakkhnJZ8+RLl0B0z8/JBrxjfqsg+wV16G19S0eLsWy/1RsAzacS0VHv5Yuxv1gZMLCr5tJgrKmEQLfNK4lvctQru2WpS4a4cS59798JKPweGq85A4BTizDO59Da671Ksf85BZm/giJ9/Fa2cPpmnPucmoqz7fqpBAcaFKcVtDRzHi/hERR15q7PdExYR725XXrH771f78T0NmdSSZ9wYXM9On4awVBOINPg/Q75DXD0OsNEp7mzq+fD/CxaiZlUItD0F2T+iupT8TKn+pntdFJV1FRYqJRIg6f5y3ufnhZGqHg7GovTdPOXVyflNWkRKNZU3GR9hIpSJwKXaQlw1JuXn9E6gJA+IXc5ulApvl/6SNyzeNlW7/Z5tcxbU9GEikfuIIe3nrR9X7+hDtVBGp7DgEGKLVSyefva6m3INCRCOcI9O1+fwdVgNo9MKimPK84bFF3m96EtfT9gmKciy/YbWLVkUp7RX0Frf6mP4UUWKh4PqfK1BJkLRzWbpxtUAhYqJWJrKq57+MLaXejqs74s5xeRU6pQ0Z8Vc/SX9eurqYT0qZhGQ34T7YJG6wrjh6YCzDBB513Ia24rAAzmhL16a3H0l1ZXQAyc0XznswSMX7rXiNMrb5BPZadBqPh9Ejho4qRjv9zWByXpZMJzNB5GU/EbXA3m8mj00VT0dpieKb9l+911uusfsgVScT5VXnM6aX8XpfgY72sOFFYR9sofhJfZzDZ/Ga5nvzaoGu0xh60SsFApkVTC7Ejc2t2PwWweDUkyRuQU4uBL61SCfA9qf9Iv+sunI3MIFcMblXW8yGahEmQ+MnZeHoJTEcY+7z7OrR0MZnP24n/uNjjna3gWb+33CTQIMvMUp+u2LXN9DjNNgE9FX3nXrsNn9Kq3dzBXPOrW74vS9HTzaaYh4akJlLKgpOn66JqK6Vl3mDN9BKKn9ugz+dEvkEadV0vaW1NR5XlPfrT6jW/+KdrXH700lQG5tI1pIKsvKTNj6uhI9UaBhUqJeIUU2/sTCeMNtpcUD+VT8dBUfDqYZDLqPJVSRq7mBztIUJryBYbNerTBrxy372goJ9DYkDSWEeSwdhzrI8y9zBn6MyA8BN+9izbDRKAzXauy1yRUfDpXvWzTqFm/nqoTd/tUQpm/AvwaXuavgqZSnNcvmk8v07N9oqC5uoVWYcTv3eaWTBKD2Xwk87a+OnCUsGKvkOIBwz1SqGVv/ufDb0VrpnoxWSxUSsQUUqx3IA1JMj4A6sEMsxqw/rwHda4qKelj//ILYwwSWr7mr5DfUzGp7kE+lbDRX0LADkN1n+dgLo9m+TK7r3vQBEPHsT72e2+NxDxq17dX7ugJrC9oKXbTek72dTDkzTqESvGo2+RD09sTxvyV9ljKyCrT+7oN5fL2IMAccuwdeKGX7begZEPSLLT8BJIStErrHTB8UyXI/KU7yqPMqvcavNiC3/CgqPtbjeXudViolIh6OPSHR3+xre+tFD8A6uaH0lQ8TF5+5oxEgkpeMsRdptlO7b2/4FMpXVMpxfzVfWDIs2wVyu1uay4vkMsLNHloKkE+HR2/5Uy8XnaHRuBhthnwMKXo1ZmeF71Ov88Nm85Lr9OkqejtLoyCnbZ5r2dYpadT3iYyNQAz7R/M5e1JeoGaik8n6meSbPCI0FTlmf2h1q8aoJhWKg4yfzmEdQRNxcuEre7RvYs34/U3nXNolKlOvQPVgoVKiahPknqNFq3vrXiPsjzNAh6jWacmUZxPdXj+morPSF/b9huRA94LSgbJSWPYawmO+i17+jzLzotC1J2prU22puIKKQ4QalPHtBiPdbfZ62XX27Knd1BLL7TDa9VYVV+CzPdE75RMZahzN7VM9wmYRtymQYY6xx995BSMaEwFdpxpn9BbPw1vMJtHOpmQc2HM+93l6KhzG8oJs1afL0xQdt/TMCHFyoRk8qsEmd6yubw9II2kqXhYG/Rr8tiy7Y59SvixUKlzVGieeoi2d/fj9Ovm2ftTiYTxAbCdnl5mAS2Plw3eLxIomSBPD6WfpuLUREwjW+8XOayjXn+JTC+feVKnxYhMCvsOmNdbAqxrYgsVrf2qTi9NJZcXmtbp34GZLp89svXyM+lCpU8XKv7CzMprldmQNIfv6oEgpg7Kr4NTo3kib00l6er8VJsbkgQiCpwtn056CxW/aCWlqSTI/HkJh/mrSGsW6B/K2XPFTBpcNl/wsTmc9nlh32M//19zxsprMhvaviKPe5rNC3uAE8mn4hEerw8M+l3lKuHXyOav+mbKaGsEqx6itZ377X2XzpiEhiQZR69BQmVvX8HEo78vWQ9ho1DFJSJqKkGx/weGCh16saYiZLv8TWB6HaZOxW902NbUgH393uavXF6gKa00lWKzkHqRjUIlaQ4PB6yX1TbFGH1ZyvwlzMudaOe8R7+3IVbyVcK9scHsFNc7GFMHpT6oZbolqqM5rKnBqKnoJkOlcedsoZKwogw9brVu/vISPOq6mNptayoJ/3cIKB4ADebyyAtgZLO1Eq+p48/l85pQMQ+WzEsKWb8t0qdiEsZBpuBsTtjmsyiainPip/n+u6+ZugaNKRYqdcsnzz7S7qTsqCvNAff2Yzrk91acD03vQBYvrNsNwNv8ta27MN9AP2YooBPS2+E5mc7HUZ/LCzvixqRh9Q5YD2Y6lSh+0bV//ZQVZ1iyMjPoI3Zv81dbUwN6+s2aihCWmUOFoerX588vvwkAWLS+q2if+l+tOG30PWTzaPFw8rvTzJFIhXN2mr/8NU+gcI0aG8wjfj+fyp7eQezab9VnFCqD1vGjmtMOLVRvk+p4Vcixun/JBCFBwX4Df/NXXpZdHEU1JDWVpoak0aznN5m13z4vS6iYAxj0cyt2+jckzVqYSlOOeqP5SwSYv/J5O3+UCZBDObPw0M9z7nPrHe/SAXbU1z/Hjh9hawTqodb1g0wqgVSiOPrrj7KDA2D8FgsAfOl3L9vb+v6swXSkox5iv6Xv/QRTVhu9mcpXHyUa2dRQNP8maFFIU/2FCB1zOQr1coxsSnlqKqoTU0JR77B3yEmBXlF3eaFrKmahor4/YXTMOu6R2USlBhw7tAmK+jVu8XjZVQdihe8W71cdYipBRUKlV1ua3SSsbU2lucHx+V5FPl+4ngMu7TqVICSIvGfLaxpNkBamt8U+r6wlVBobEsZrrgsC9wCooIFZ5mmzpiLQpAZQWjvUs5FJJZHLF2ueekgxYH4eCgEIRbuQywsM5QTapD82ivlrnzaw8hIqALBOaqmLN3ThK/cuBcA+lbrkvGM7AAAfnzFZW/vL2qff1N7BnBX95RqJZN32fcPLvrOn0PHoL4zzS32mEbH1m/SZUa+/YO4H2hrpqxet+GHvk51UW2MK/a6XacjRNu/6TSNrZ6RWcR513u0taewfyBoFsXq5lKaiv2wnHjESAHDle04oqk/9n1RfnnIV3TuQxWA2jxGNllDpM3xDw6FNmqLbcgKjW9IY0ZjCGzv2G489crR5cUIVgp1JefhUcqqTSxWZsAYCfEHqWRjVnPbpeJOOetRvMkFIJChw8mM65R1SrGut7utqTR62NBWTwPMz9SihMtJHUxnM5tGSKdYWVFlekWfqfFVe03Wzozt9/FhtcpBSqqby9+U78O0/v15ob14FUBRre1v3HgAAzFu+w05joVKHfO8fT8ZTX78AiQTZo1s1atJHW+86YazlU3HdaDXaf/e0cQCAvyzd6ti/r38I/UN5HDuuFSMaUw6zhP4AKlOUjtP8ZUZ/wdz2XN0k4KepjB3RiE1dzigs5+dZvaWKLmRNPhXzEuzWcYc1pyGEcwTuPqagqRTqKXSeDXKfe/QJbZl1Z7k/fuwNAMBrMkTTb9a6e7vQNiuAYHxbo6PzzEnbeseIjGf0V8H8lfQ1f7VmUkX3U42i21vSRnPogcEckglCa2PK00TkdigXNJWE54oR+nGZpHdIsT7KVyarwnkJqakkjdqA3pm7Tczq+MOavH0qQ7m87RfJGsxfanBVvPioMn9JTcVQ9kAIoaIiR0v9VvxTb3Q6/lfPsrr3V118vL2vS5paU9ooszFd3W6ehUoIJhzWZI8q1UOpOgr94W1Op5BKJopGIgcGcyAClm7ZCwD4+4odjv1v++58q+xMCplU0hXlYs0CHpFJGedr6CYHr9GhPjfB3TZdUzF1juo8TzyiDQeGcp4z7P18KrqpwR1RBHgthic1FRltt8/gV1HHNBp8Kuq+2CPTrLsDyxc0NFcn0uMyt5m+S+7wqXisQ5VKEprSSUcnlJVRZ5lUwugot44pCEu/eSpqhreOPeGtIenpqG9qSKIxlfSMYmq0NRV1r6S5LUnIpJKe82tsh36qeGCl0K9l35DTVDeYsxz1mYZkUSQT4Fw9oMgpLa/lqBbrefHSVFQE16BhUJCxAzNc+XKFAQ5gFlgFoVK0yz6Xtkalqfi8LAbcgzl1X9S9T6cS+O3nzgJgHgBV86uPAAuVklF2VfWAL5CO4Ie+eC4AGKO/ug8MYWRTAz5x1pEAgCNGNjn298oXbfaZk6zORtNUBrI5ZFJJTO1owfJt+4raox7iTMq8PAzgHFm5O6Gs5ug2dQS79w8inUqgY0QGgHu0GFJTMTjqdeG2u3cQU658GPcu2lRUtuok3B29fkzG4FNRL/lomb/PYL9XPhO3w9qtHdw0f3VR3XoH5x65CyGwblcvkkRoakg6OtLegSya0kkpVMz3Sx3fnE4ZTaWqU2rNpIrup7rXzWmzP+a1N7vlzHWz3yKXL0QpuScTphKEdCrhGb00kLW0IOubKOZj+ody9ohdr39IM0E1NSSKTK0A0KMLFVfP36/5/vS26+grLJi+ZGkHfLiuuXo+/HxspZi/SvWpuDUV1d7X39xnt/vUSYcBAPbLwZdu1XB/d6bSsFApETUBasU2a4mN/1tgdYTj2hoBWJqM27Hc1TeI9uY0/vm8o9CSTjo6v6/dt9TezqSSyDQURrBv7j2AXz6zHgeGcjh+/AhskE44RU//EB55fZud1/Qiv7GjB9/960r7f39NpTj/zp4BdLRm7NGr/rL6LeGio3eqKkxV1xyWbbVejl89s14rz9rf3tIgz9XH/GXUVApRTkDxGlmDubz9krs1BtUxqM5PfZJVcWAwh23d/bZpza0FLd64B69u6ca6Xb0YP7IRb+45YO/b3TuIMa0ZpFPFWobiP/9k2c/bmhqMgqGgqRSbsPq1DnDQoAktXN+FgWwe+/qz2NefxV5tDg1gCaWOVmsAoa6ZurcJqWHpy+Lr9A7k0JJOojFt1oL6h3LYsLvP9mHpnbPSiDPS/GXyqfhpKuoZOyzIp5Iu1lzdgxP3GnJKiCpHu1uL6hvM2seYIurUear8pfpUjnJ9GEwJ4E/cvgCApUE2p5MgKmgqfqtQVBoWKiWizCk/nb8aL28qfHJ2jFxaeuKoZmzY3We/VEIIPPzqNtvG2d6atm+4EAJ/eGmLXYZtXpAP7WfvWGTvG2kIrf3vvyy3O7yUx/yYhVKTUrgf6L7BrN15Fk9uFFi1vQdj2zK2s++Ahyltv8HnoXhDW+NKvXyDttBI23bgRs2hqF6c9hargzNpKqoDVSYNvT0D2RxSCbIFh1uoDAzlbXOE3hH09A/hz69YPq8r3nG0na4LrGseXAag0LF1uTrmtTsLjvlRzWlH23ftH8Do1gxaM0njOem0NaaMgv77j1iDhJa0waci78/YtkxRgIN+Dn+SEYn3Lyk8f9lcHoPZvD1AUvNrdO1Hrf1lMuH09GcxorHBcrQbOten5YhbaRz6s6RMPJPbm9GSSRkHEfsdmoqz/g27rQHXUWNaARRrKm/uPYC8AI44zLISOB310oyklvtxCUwl/Ns8NJWd+wYAWANOk+9PDVpU4Ic+mHhi1U6s3F5sgdAxRWw6yh/KgYjQql031cd8+33TfMuuBCxUSkRf7XPO3IUAgKPHttoq5imTRmIwm7dfkrue3wAAdgTQqOa0PcPaPZpKUGEkCABnTh0FADhydDNaMw04MJRzdDKbNVtrOmk2S7hfLr3O/qEc+ofyGDui0dieXfsHsXzbPlxw7Fh7FKd3FvrDvs9jZLS5qw/Prdlt/18wf1l51agYcEapqBdH+VTcnUw+L/Aff3gVQMEs4dZUGhuSdtiubg4QQmAgm0NbU/ECgXqk1vtPOQLfeq8VPaZ3Fso3pjqoN1yajG4Ocy8wuqtnAGNa0xjdksHu/U5h5GZEY0NRcIbe1ua0waeiBVbkhVPY6+dw6YzJAGCbNYGCifCw5gZMOKwJq+RgQJlUWjMpTGpvBgCs0QSnXf5AFi2ZJBobEkZNRXV0nz//KKs+rXNWHfO4tkaMb2vE9u7i78T09GcxwhC9BVgrWzQ1JDFB3hP3s6zmCo0f2Yh0MuG4R+rYZlm2uxNX17ypwXxuO3usth/V0YL9/dkiLe6pVZYwVc+b/p5+5o5FmPWTZ4rOVbFhVy827nb6VD57xyJ856Hl9v+qtrbGwsBzd+8g3n7MGFx27lTPsisFC5USUaYiAEgbvv2gXjq1XtU1f1kOnZFNDfYI8I8vvenYlyA4HLjN6RQakoTHv3ZBwZdjsOcC3prKFs30AgC3Pb3O3la+gilynSvHJL1cHu+5yXrYpx3RZnf4jvDkXGGpE5O63TeYxQ8fXeVIc/tUxowofDxIX05CdcSjpPnL7ahft6vX1sLU3AS9o+kbzKKxIYlUMoFMKmGbV4QQ+NPLbyIvCo5TXVDqwjGVIHvCWp/WuSsTy2mTD0MqQdjocqT2aSNqfRCZENcAABj8SURBVDLs3r5BbO3ux4HBHMaMSGN3b7FQ0QcKrRkraEM9D0IIRweTNvhldE3FfT5KW7v+QyfhM+dMAeBciaFbPpdtTQ0Y15ZBd98QhBD4hhTerZkUTji8DQCwaINTAwYsTaI1k0JTQ9IYIfX1+61yzpch+voxu/ZbHfOYERmMarYGULrAFELgjR09tiB3d/yd+wfQMSJjRwK6O35lVWhOJ+X6fPqzIjUJD6HS059Fgqy8zelibURNB3hLRyuyeVF0T256fA0A2IM3dV57DPffjTtSFLC+3fSrZwum4ktOnQDAei7VgHVLVx8mjmoqylsNWKiUCBHhi+88WnY4Vie4dW9hVKVu5JY9Bxyjyj9fcQ4AS1PZ3n0Ajy7bbs+yVySIHB3F/oEsRjalkUyQbaLSTQD6o9+QTGBf/1DRCE4Jt6PHWmYBtazMnt5B3PzkWrvN6WTCfrEBYNWOHnRqIzBlvntNWwm1byCL8SOtF8Wkqfxu4Wb7pficHDEpU5O6NmM0TUX5KFR56VTC3u82FenXQV1zJdgeX7kDf1m61fbHtGZS9vFPr96Fr0o/VpvBqasLx6T0IQDAQ69a5/HzJ9bgxXVWh/rt903DxFFNRdE5yqf20BfPRUMyYS/lskpqNFPHtGDciEZ09Q46Fst8YuVOvP2HTwAAzj6q3daKlbbyP4+uwswbnwYA/HT2qXborT6oUeeiOrBuh1DJ2dfDtOKuGnGPHZHB2BGNWNu537Hu2simBvseXS1NgDo9A1m0aELFa8kSpU3o1109a2Na09p5F+pes3M/duwbwGmTLYe0PoDasa/fMtOOyNj31D3I+fYDVnub00k0uLT6AwGO9H0HhtDW1AAikh23s2ylZR0lB2deK0BMlgNO9Y7qc0ne2NGDL/3uZfzXA4X5KEII/H3FDrS3pDH9yFHGMn/5qem2pn74yCa89mY3egey2N07iImjmo15Kg0LlQhccFwHsnlhdyYXnTjO3tfRmkEmlcCWPQewTQqbr7zrWDs6Y1RzA3bsG8Dn715iz5NQL3iCLEHV2TMAIQT292fRKjUU5cvp1h5o1ZH/w1tGY1RzGn2DOZx8zaP2/m/9+TX8fcVOXHzSePz9q+cjnUrg5AlWOzo1AdKaSWFMa9pe3gOA3XbAehmUGVd9WKq7bwird+5Hu4yuUh2Sju4EnvMPUwAAu3sHkMsL3PX8RgDOUGR9lL63bwiHNTXYnfoLa50mtH/+9WL7/xlT2+229Q/l8Nk7F6N3MGe3rTmTNIYFN6eTSCbIMbLU25wkwkkTrEmUD726DQ+88ib+R9O8WjIpHD22FSu2Fmzig9k8fv7EWmRSCZw0YSTSSfVtcmFrJh849QicPNEq99wfPGHn/cydBR/ajz96KlqlJqXMT2oQAACzThqPye3N2C87EAD408tb8D3pb1GDCP2afudhS2u2hIrsuLVRd6cccXeMyOCtk0ZiW3e/4zkhIntyoZs/LNmCpZv3YnRLGhkZzqx33FOufNjeViY3dU8eW7YdP55nzQ3KpJL2eeud87ulMD3n6DFIJsj2oQDAx259ASu390hNJYnmdNKhBeir97Y1NqCtKeUYBKl7Pk5qd3qoM2BpyUqrbW9Oo8tltlyycQ/SyQQmj7Y68e4Dhf1qXtDl5x1lf9JXacZKAwSAmTc+jQeXbsWvX9hoC+O7nt+ApVu60dU7iHsuPxsvXPVOuDlcDuoA4Mwpo9DZM4CHX7WCd5QQqzbDWqgQ0SwiWkVEa4joymrVq2ZrK37w4bfqbUIyQbjt6XX2g3/WUe32/snaLGo1Ojt+/AgA1sj4vGM7sGXPAbyxYz/2y5EfUPAtvOemZ/D82l3I5wU6ewbwgVOOwNxPn4lWFZmimXJ+86IVmaY6sJFNDfjdwk0QQtgj/+Z0EmcfNRqjWzPYrI2aVdvv/5e3oSGZwPnHWSaLC48fCwC45OfPArBe/NEtaTy7epedt38oh5k3PoWfPb4GCQJWXDvLdv7+6pn1ePqNTryy2fJLfG3msUglCCMyKWzqKpjqnl7dicFc3vZVPbN6FzbKNn3noeX2tfvzFedgtNRmXtq0F5++Y6FdhhIqLemCpqKPQtfv6kUub40Gf/OiJeT2ap3NqJY0jhs/AucePQYHBnP48j2vwM1pk0dh3a5eXHTj0+g+MIRjv/UIgIKdvrAsfx7Pr7WuUUdrxjbjAM5lXBTjRmTsAUXPQLEWqMLMAdhRgd/+c0F7mCS1N+WbWL2jB09K237HiIw9kNGFrQr66BiRwSQ5yr3lKUuQ/fgjp9j1nnHkKDtUW/G131va3+7ewUJQhyxbfzZmnznJjtZT+y+/e4mjLKWpnPc/T2Dh+i6s1gI9pk8ZhbdOHImXtCCZDdIkqEx5o5oLwR/ZXN5R/tQxLZY/S+7fP5C17+vJcgCha0i/fHod/vTym/bzoweWKNbs3I8jRzfbGvNmzeS8cvs+5PICZxw5Ck0NSYxuSRdFcbpR6wA+/JolHCyTXcLhf1RM0J6jY8dZ/YgSVmz+KhEiSgL4OYCLAUwDcCkRVSXUobEhiYe/dK79f8a1Cqh6UT8to7f0G3+kNnp4ZvUujGxqwNuPsTrs8SMbcfZR1rekL/rJ03h85U7bfq9GngDwT79cgO88vAK7ewcxdUwLGhuStnkplSAsXN/lGKF+9hxr3zGyjBvmvWGr7Pd9/m1oSicxri2Dheu78NoWy7z1ihx1niHV7oZkAulkAnc+vwEL13fZWs3tc6bjvGM7sHjjHnT2DKB/KIc39x6wHd5XvONoNKWT9hIYq3fud4x+J45qxprvvgefP/8o7No/gJ37+vG9R1ZgW3e/vXLzBVKgfUPa5JduKZjgJrleHGWaAoB3Hm9pkK2ZFPb2DRZpOKr8ldt78K0/v46/L99hm00e/bfz7ONOP3KU7bRWKHOEGnWv2tGDj97ygr1/9pmTABQW8/vti5ts/1Z7S9oxwjzru/PxiyfX2iPLs49qRyqZwOFyPtODS7faARpElukLKMwef3zlTgAFk+C7ThiLUc2W2fTFdV3Y1n0Az2gd+0lHjEQmlUA6lcCm3X0YyuWxaEMXfvJ3y8fW3py2V+NW0WF6ZN7MaeOwu3cQ63f14uk3Oh1O9c6eATsEVt2LF9YV6r7+QycjIU3H+weyxug2ZeoFgN8u2GhrKYBl4pnc3ox1nb3o7htyBAz8y/lvAWCZ0LZLQf1LLUx9/tfORyqZwJjWtB0k8Uct+lIJ+rtfUFq0wPV/XQGgMFN9dKvTF/bEqp1YtaMH75o2DpPbrfPeKIXGUC6PD938PADghPFtICIcf/gILNvWLa9pAtOkj0rn3kWbccp/P4ZFGyzB+Rs5sTFlmMR4mKY5vv2YMY4Fbk8wlF0Nqvfh4vIzA8AaIcQ6ACCiewBcAmC5b64yobQV02zV337uLHz8Vwvs//VR6QXHdeATZ0+2tYhjxrbiSxceg4tPHo/jxxc/BMoMNbatETddepq98OTc56yXRY3GU8kEbvjoKfjqfUvx0VtfsJ2ON3/8dLtD+Pb7puHinz6Dn0nHIQB7RPrVdx+Hv6/Yiff/77P2vuPHj3BMnBrM5bG7dxAfvdXqPGefOQlHdbTimHGt+NPLb+LM6//uaPsHTjkC/3pBISz38+cdhVufXofrZOTKyutm2S/Becd24EePvYEZcnUBALjp0tMAANe8/0RcsOpJLFjf5TCjTBndbGspbn5z2Vk495gxAKwO8dk1u3DMfz7iOOYTZx+JBzVH6Oc0gXOc1B4BFI3K33FcB37yMattSgMD4BA83/3QyQCAUyZa5kbVOZ01tR1EhBGNDbj8vKPswIkf/M0yW13xjrfg6xcd72jDrU+tw61PWcd970Mn245ZFaJ685NrHf61z5//FiQS1sKPf1u2HX/TzD8vXnUhEvKaj2vL4N7Fm3Hv4s32/pMnjEQqmcCx41uhM+uk8YXzP34svvfISrzjR0/CzbWXnITTpd/jX37j1EDe+9bD7fs9lMvj9mfX43bN4bzh++8F4BxAPfBK4f6oCcYtmRR29gzglGsfs/f9dPaptkb+5t4D2LV/EN+4f6md//GvnY+jOlrt67Z8207Hs3TLJ063LQZ/fmUrRrWk8diygs/j2ktOtPPu2j+A06+bh0+cNdl2wp/zljEY05pGKkG45i/LkUwmHKHlSms448h23DR/tV33+085ApeeNRmT25tx9lHtOO5bf8NPtcm2d37mTJw+ueBPWfDNCzGYzePDtzyPCYc1Od7PVDKBR778dlzx25dwxTuOdgwEqsmw1VQATACwWft/i0yrGsuvvQivXjOzKP2co8fYPpQPnnqEY/SQSibwnQ+ebPtTfvzRU5BMkEOgzPtKYZR812dn2NsfOOUILPzmhQ7NR43iAcsUo1BzAU6R7QCskcttnzzD/n9kU4Md5jjtiDbMnFbwDQHAFy54i+P/f3X9rzq3D5xyRNE1ACwhpi+7PecfpoDIMpmdc/Rox0M/7fA2x+j94pPG2+VOGdOCj02f5Cj7c+dOxRP/foH9/08+dqqjHW97y2h7+31vPdyR95SJI7Hh++/FjKntWHndLFuDU7iFyMVahwpYo23lWzj36DG2AFes+s4su+PWrz/gDEz45ntOwLtOcF5zdU0BGDsFvbxJ7YXn4BfS33LbJ8/AmVPa7fN0o+ZTAcBl5xSHmz4gA0oyqSSe/PcLcMqkw/DMN97heIaPHTcC17y/2Ciw8rpZmDHV0rI+ftZkx75Pnn0kfvKxU+3/Z57ovKaPfPnt9rYuqBXfft8027/1btc1m3Z4m+O6/fvM4wAA9y3egoFsHucd22ELFAD457cf5cj/semTMOukw0FEdlTcHc9twJtyccafXXoaPnm2tRqGeq+7egdx0+NrkEwQfvSRU3DO0aNBRPZz9+0/v447n9+AsSMyeO2amfbz8J6Tnef9zuPH4pNnH4nzj+1AJpXErfL9vOC4Djz0xXNxwXFjHcePa2vEpPZm/O3L5+Huy84quk7HjhuBeV89Hx88rapdoQMK+r54vUJEHwFwkRDic/L/TwKYIYT4ouu4ywFcDgCTJ08+Y+PGjVVp34HBHH6/ZDPee/LhxtF0/5C1orH+soZlMJvHE6t24l0njCvK/5elW7H3wBDueG49rrjgaPy/MyYW5e/qHcS9izbjklOPcGhRgGWDTsiv+zUYtLChXB6rtvfgxCPaipZ/+O2CjXhyVSdOm3wYPnvOVGOn2NkzgPuXbMHHzpxka1mK/QNZPLR0Kxau78I3Zh1vR5apc16zcz+eX7sL7S1p/OPpxecFWE7Z0yaPcsy/AKxos76BHNbv7nWM/PTzvugnT+P0yaPwX++fZmsBiv6hHG5+ci3aGlP4nKtTAizfxUOvbsXpR44qKr9vMIvVO/bjubW78KHTJthmLZ2e/iFs3N1nd5yKoVwe3QeGcN/izThr6mjbHKmzeEMXPnzLC7h0xmR890Mn2fdFCIHNXQfw3b+uwKINXfjZpafhH44e48j73JpdeGnjHpw5tR2T2psdA5YgFm3owqjmBsx9bgO+cP5b7HB6wArL7eodxO+XbMa5R4/BWyc6heuBwRzWdu5HXghMGtVsL8ejWLa12w4GmTqmxV4pXC9//a79GNHYgIZkouhZGszmsXpnDx58ZSs+eNoEoyno+TW70Ll/AO97a2Hgt727H7c8tRaNDUlcfNJ4a97MSKeQu/1Z67slR45uweT2ZodWu69/CH9csgXLt+3D0WNbcdGJ44tWo37qjU4kyDL96p+tVuTzwhZC9QIRLRFCTA917DAWKm8DcI0Q4iL5/1UAIIT4nlee6dOni8WLF3vtZhiGYQyUIlSGs/lrEYBjiGgqEaUBzAbwYI3bxDAMc0gzbB31QogsEf1/AB4FkAQwVwhRPCOLYRiGqRrDVqgAgBDirwD+Wut2MAzDMBbD2fzFMAzD1BksVBiGYZiywUKFYRiGKRssVBiGYZiywUKFYRiGKRvDdvJjFIioB8B2AN0+h4302T8ZwKaIeePuD8pbybbFPa84bavkNa3l/azntg3X+xnUtkP1fpajbeOFECN8jikghDhk/gAsBnBbwDGe+wF0Rs0bd3+IvBVrWxnOK3LbKnxNa3Y/67ltw/V+BrXtUL2f5WgbgMV+x+h/h6L56y8x9u+tYNlB+4PyVrJtcc8rTtsqeU1reT+D9h+sz1qlr6lf2w7V+xm0P27bHBxq5q/FIuT6NZXIX0m4baVTr+0CuG1Rqde21Wu7gHBtK6X9h5qmcluN81cSblvp1Gu7AG5bVOq1bfXaLiBc20K3/5DSVBiGYZjKcqhpKgzDMEwFOeSFChHNJaKdRPS6lnYKEb1ARK8R0V+IqE2mNxDRXTJ9hfqGi9z3JBGtIqJX5N9YU30VbFuaiO6Q6UuJ6AItzxkyfQ0R3UTur2vVrl1lvWZENImInpD3ZhkRfVmmtxPRPCJaLX9HaXmuktdlFRFdpKWX+5qVs201vW5ENFoev5+I/tdVVk2vW0DbynbdIrTr3US0RF6bJUT0Tq2sWl8zv7aVfs3ChokdrH8AzgNwOoDXtbRFAM6X258FcJ3c/icA98jtZgAbAEyR/z8JYHoN23YFgDvk9lgASwAk5P8LAbwNAAF4BMDFddKusl4zAIcDOF1ujwDwBoBpAH4I4EqZfiWAH8jtaQCWAsgAmApgLYBkha5ZOdtW6+vWAuBcAP8C4H9dZdX6uvm1rWzXLUK7TgNwhNw+CcCbdXTN/NpW8jUry0M53P8ATIGzg9yHgr9pEoDlcvtSWOF1KQCj5c1qL/cDG7FtPwfwCe24+QBmyAdspZZ+KYBba92uSl4zra4HALwbwCoAh8u0wwGskttXAbhKO/5R+XJX5JqVo231cN204z4NreOuh+vm1bZKX7ew7ZLpBGA3rAFD3Vwzd9uiXrND3vzlwesAPiC3PwKrkwSA+wH0AtgGawbqj4QQXVq+O6SK+O24KmyEti0FcAkRpYhoKoAz5L4JALZo+bfItFq3S1GRa0ZEU2CNwBYAGCeE2AYA8lep8BMAbNayqWtT0WsWs22KWl43L+rhugVR9usWoV3/D8DLQogB1N8109umKOmasVAx81kAVxDREljq46BMnwEgB+AIWCaJrxHRUXLfx4UQJwN4u/z7ZJXbNhfWA7kYwE8APA8gC2vk4aYSIX+ltguo0DUjolYAfwDwb0KIfX6HGtKET3o9tA2o/XXzLMKQVu3r5kfZr1up7SKiEwH8AMDnVZLhsJpcM0PbgAjXjIWKASHESiHETCHEGQB+B8ueDVg+lb8JIYaEEDsBPAdguszzpvztAfB/sARQ1domhMgKIb4ihDhVCHEJgMMArIbVoU/UipgIYGsdtKsi14yIGmC9SL8VQvxRJu8gosPl/sMB7JTpW+DUmtS1qcg1K1Pb6uG6eVEP182Tcl+3UttFRBMB/AnAp4QQqk+pi2vm0bZI14yFigEV4UBECQDfAnCL3LUJwDvJogXA2QBWStPOGJmnAcD7YJmDqtY2ImqWbQIRvRtAVgixXKq5PUR0tlRdPwXLxlrTdlXimsnzux3ACiHEDdquBwHMkdtzUDj/BwHMJqKMNM0dA2BhJa5ZudpWJ9fNSJ1cN69yynrdSm0XER0G4GFYfrLn1MH1cM282hb5mpXTITQc/2CNqrcBGII1argMwJdhOeHfAPB9FBzQrQB+D2AZgOUAvi7TW2BFNb0q9/0UMlKnim2bAssRtwLA3wEcqZUzXT4MawH8r8pTy3ZV4prBivoRssxX5N97YAVVzIelIc2HDK6Qef5TXpdV0KJuKnDNytK2OrpuGwB0Adgvn4FpdXTditpW7utWartgDbR6tWNfATC2Hq6ZV9uiXjOeUc8wDMOUDTZ/MQzDMGWDhQrDMAxTNlioMAzDMGWDhQrDMAxTNlioMAzDMGWDhQrD1AlE9C9E9KkSjp9C2krRDFMPpGrdAIZhrIlmQohbgo9kmPqGhQrDlAm5eN/fYC3edxqsiaCfAnACgBtgTZ7dBeDTQohtRPQkrLXQzgHwIBGNALBfCPEjIjoV1qoEzbAmxX1WCLGHiM6AtZ5aH4Bnq3d2DBMONn8xTHk5DsBtQoi3wvocwBUAfgbgw8JaF20ugOu14w8TQpwvhPixq5xfA/gPWc5rAK6W6XcA+JIQ4m2VPAmGiQprKgxTXjaLwvpJvwHwTVgfPponVw1PwlriRnGvuwAiGglL2Dwlk+4C8HtD+t0ALi7/KTBMdFioMEx5ca971ANgmY9m0VtC2WQon2HqCjZ/MUx5mUxESoBcCuBFAB0qjYga5HcrPBFCdAPYQ0Rvl0mfBPCUEGIvgG4iOlemf7z8zWeYeLCmwjDlZQWAOUR0K6zVYH8G61PAN0nzVQrWx8qWBZQzB8AtRNQMYB2Az8j0zwCYS0R9slyGqSt4lWKGKRMy+ushIcRJNW4Kw9QMNn8xDMMwZYM1FYZhGKZssKbCMAzDlA0WKgzDMEzZYKHCMAzDlA0WKgzDMEzZYKHCMAzDlA0WKgzDMEzZ+P8BpDLhiuk+9jwAAAAASUVORK5CYII=\n", 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" ] @@ -2217,22 +2275,22 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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" ] @@ -2277,12 +2335,12 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", - " for y in range(2020,\n", + " for y in range(1985,\n", " sorted_data.index[-1].year)]" ] }, @@ -2297,7 +2355,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -2321,22 +2379,22 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 17, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2360,19 +2418,54 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2021 2394230\n", - "2022 4728673\n", - "2023 5616796\n", + "2021 743449\n", + "2014 1600941\n", + "1991 1659249\n", + "1995 1840410\n", + "2020 2010315\n", + "2022 2060304\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", + "2023 2873501\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": 18, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -2391,22 +2484,22 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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