From 0c17a619a3ba7b81081d5733ba75de172c5f85f7 Mon Sep 17 00:00:00 2001 From: 287eb2433e490772bca1c5b6aae5009d <287eb2433e490772bca1c5b6aae5009d@app-learninglab.inria.fr> Date: Fri, 27 Nov 2020 14:25:33 +0000 Subject: [PATCH] no commit message --- module2/exo2/exercice.ipynb | 110 +- module2/exo3/exercice.ipynb | 58 +- module3/exo1/incidence-PAY-3.csv | 1884 ++++++++++++++ .../influenza-like-illness-analysis.ipynb | 2228 ++++++++++++++++- 4 files changed, 4221 insertions(+), 59 deletions(-) create mode 100644 module3/exo1/incidence-PAY-3.csv diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 0bbbe37..8f5ece8 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -1,5 +1,110 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "14.113000000000001" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "import math as mt \n", + "import statistics as st\n", + "x = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n", + "np.mean(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'4.33'" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "str(round(st.stdev(x), 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.8" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.min(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "14.5" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.median(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "23.4" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.max(x)" + ] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +121,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - diff --git a/module2/exo3/exercice.ipynb b/module2/exo3/exercice.ipynb index 0bbbe37..fb41467 100644 --- a/module2/exo3/exercice.ipynb +++ b/module2/exo3/exercice.ipynb @@ -1,5 +1,58 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline \n", + "import numpy as np\n", + "import matplotlib.mlab as mlab\n", + "import matplotlib.pyplot as plt\n", + "x = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n", + "num_bins = 10\n", + "n, bins, patches = plt.hist(x, num_bins, facecolor='blue', alpha=0.5)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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"cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020204732119116469.025913.03225.039.0FRFrance
120204632510320716.029490.03831.045.0FRFrance
220204534251636857.048175.06556.074.0FRFrance
320204434456738521.050613.06859.077.0FRFrance
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520204233514529812.040478.05345.061.0FRFrance
620204132787723206.032548.04235.049.0FRFrance
720204032044316381.024505.03125.037.0FRFrance
820203931981015900.023720.03024.036.0FRFrance
920203832556221142.029982.03932.046.0FRFrance
1020203731848514649.022321.02822.034.0FRFrance
112020363103907646.013134.01612.020.0FRFrance
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18202029386875860.011514.0139.017.0FRFrance
19202028383405701.010979.0139.017.0FRFrance
20202027340662406.05726.063.09.0FRFrance
21202026340392389.05689.063.09.0FRFrance
22202025328531488.04218.042.06.0FRFrance
23202024330581690.04426.053.07.0FRFrance
24202023341682468.05868.063.09.0FRFrance
25202022335801947.05213.053.07.0FRFrance
26202021361144026.08202.096.012.0FRFrance
27202020393156775.011855.01410.018.0FRFrance
282020193116798722.014636.01814.022.0FRFrance
2920201831639812851.019945.02520.030.0FRFrance
.................................
185219852132609619621.032571.04735.059.0FRFrance
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18641985093369895341109.0398681.0670618.0722.0FRFrance
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187719844837862060634.096606.0143110.0176.0FRFrance
187819844737202954274.089784.013199.0163.0FRFrance
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188119844436842220056.0116788.012537.0213.0FRFrance
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1882 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202047 3 21191 16469.0 25913.0 32 25.0 \n", + "1 202046 3 25103 20716.0 29490.0 38 31.0 \n", + "2 202045 3 42516 36857.0 48175.0 65 56.0 \n", + "3 202044 3 44567 38521.0 50613.0 68 59.0 \n", + "4 202043 3 43737 37523.0 49951.0 66 57.0 \n", + "5 202042 3 35145 29812.0 40478.0 53 45.0 \n", + "6 202041 3 27877 23206.0 32548.0 42 35.0 \n", + "7 202040 3 20443 16381.0 24505.0 31 25.0 \n", + "8 202039 3 19810 15900.0 23720.0 30 24.0 \n", + "9 202038 3 25562 21142.0 29982.0 39 32.0 \n", + "10 202037 3 18485 14649.0 22321.0 28 22.0 \n", + "11 202036 3 10390 7646.0 13134.0 16 12.0 \n", + "12 202035 3 9918 6842.0 12994.0 15 10.0 \n", + "13 202034 3 6084 3090.0 9078.0 9 4.0 \n", + "14 202033 3 6106 3411.0 8801.0 9 5.0 \n", + "15 202032 3 5918 3330.0 8506.0 9 5.0 \n", + "16 202031 3 4351 2269.0 6433.0 7 4.0 \n", + "17 202030 3 8179 5442.0 10916.0 12 8.0 \n", + "18 202029 3 8687 5860.0 11514.0 13 9.0 \n", + "19 202028 3 8340 5701.0 10979.0 13 9.0 \n", + "20 202027 3 4066 2406.0 5726.0 6 3.0 \n", + "21 202026 3 4039 2389.0 5689.0 6 3.0 \n", + "22 202025 3 2853 1488.0 4218.0 4 2.0 \n", + "23 202024 3 3058 1690.0 4426.0 5 3.0 \n", + "24 202023 3 4168 2468.0 5868.0 6 3.0 \n", + "25 202022 3 3580 1947.0 5213.0 5 3.0 \n", + "26 202021 3 6114 4026.0 8202.0 9 6.0 \n", + "27 202020 3 9315 6775.0 11855.0 14 10.0 \n", + "28 202019 3 11679 8722.0 14636.0 18 14.0 \n", + "29 202018 3 16398 12851.0 19945.0 25 20.0 \n", + "... ... ... ... ... ... ... ... \n", + "1852 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1853 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1854 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1855 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1856 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1857 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1858 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1859 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1860 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1861 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1862 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1863 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1864 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1865 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1866 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1867 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1868 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1869 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1870 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1871 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1872 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1873 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1874 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1875 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1876 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1877 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1878 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1879 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1880 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1881 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 39.0 FR France \n", + "1 45.0 FR France \n", + "2 74.0 FR France \n", + "3 77.0 FR France \n", + "4 75.0 FR France \n", + "5 61.0 FR France \n", + "6 49.0 FR France \n", + "7 37.0 FR France \n", + "8 36.0 FR France \n", + "9 46.0 FR France \n", + "10 34.0 FR France \n", + "11 20.0 FR France \n", + "12 20.0 FR France \n", + "13 14.0 FR France \n", + "14 13.0 FR France \n", + "15 13.0 FR France \n", + "16 10.0 FR France \n", + "17 16.0 FR France \n", + "18 17.0 FR France \n", + "19 17.0 FR France \n", + "20 9.0 FR France \n", + "21 9.0 FR France \n", + "22 6.0 FR France \n", + "23 7.0 FR France \n", + "24 9.0 FR France \n", + "25 7.0 FR France \n", + "26 12.0 FR France \n", + "27 18.0 FR France \n", + "28 22.0 FR France \n", + "29 30.0 FR France \n", + "... ... ... ... \n", + "1852 59.0 FR France \n", + "1853 64.0 FR France \n", + "1854 97.0 FR France \n", + "1855 93.0 FR France \n", + "1856 80.0 FR France \n", + "1857 116.0 FR France \n", + "1858 149.0 FR France \n", + "1859 281.0 FR France \n", + "1860 395.0 FR France \n", + "1861 485.0 FR France \n", + "1862 544.0 FR France \n", + "1863 689.0 FR France \n", + "1864 722.0 FR France \n", + "1865 762.0 FR France \n", + "1866 926.0 FR France \n", + "1867 1113.0 FR France \n", + "1868 1236.0 FR France \n", + "1869 832.0 FR France \n", + "1870 459.0 FR France \n", + "1871 207.0 FR France \n", + "1872 190.0 FR France \n", + "1873 198.0 FR France \n", + "1874 224.0 FR France \n", + "1875 266.0 FR France \n", + "1876 219.0 FR France \n", + "1877 176.0 FR France \n", + "1878 163.0 FR France \n", + "1879 195.0 FR France \n", + "1880 308.0 FR France \n", + "1881 213.0 FR France \n", + "\n", + "[1882 rows x 10 columns]" + ] + }, + "execution_count": 22, + 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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020204732119116469.025913.03225.039.0FRFrance
120204632510320716.029490.03831.045.0FRFrance
220204534251636857.048175.06556.074.0FRFrance
320204434456738521.050613.06859.077.0FRFrance
420204334373737523.049951.06657.075.0FRFrance
520204233514529812.040478.05345.061.0FRFrance
620204132787723206.032548.04235.049.0FRFrance
720204032044316381.024505.03125.037.0FRFrance
820203931981015900.023720.03024.036.0FRFrance
920203832556221142.029982.03932.046.0FRFrance
1020203731848514649.022321.02822.034.0FRFrance
112020363103907646.013134.01612.020.0FRFrance
12202035399186842.012994.01510.020.0FRFrance
13202034360843090.09078.094.014.0FRFrance
14202033361063411.08801.095.013.0FRFrance
15202032359183330.08506.095.013.0FRFrance
16202031343512269.06433.074.010.0FRFrance
17202030381795442.010916.0128.016.0FRFrance
18202029386875860.011514.0139.017.0FRFrance
19202028383405701.010979.0139.017.0FRFrance
20202027340662406.05726.063.09.0FRFrance
21202026340392389.05689.063.09.0FRFrance
22202025328531488.04218.042.06.0FRFrance
23202024330581690.04426.053.07.0FRFrance
24202023341682468.05868.063.09.0FRFrance
25202022335801947.05213.053.07.0FRFrance
26202021361144026.08202.096.012.0FRFrance
27202020393156775.011855.01410.018.0FRFrance
282020193116798722.014636.01814.022.0FRFrance
2920201831639812851.019945.02520.030.0FRFrance
.................................
185219852132609619621.032571.04735.059.0FRFrance
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185719851635036236451.064273.09166.0116.0FRFrance
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18591985143134545114400.0154690.0244207.0281.0FRFrance
18601985133197206176080.0218332.0357319.0395.0FRFrance
18611985123245240223304.0267176.0445405.0485.0FRFrance
18621985113276205252399.0300011.0501458.0544.0FRFrance
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1881 rows × 10 columns

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"1878 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1879 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1880 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1881 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 39.0 FR France \n", + "1 45.0 FR France \n", + "2 74.0 FR France \n", + "3 77.0 FR France \n", + "4 75.0 FR France \n", + "5 61.0 FR France \n", + "6 49.0 FR France \n", + "7 37.0 FR France \n", + "8 36.0 FR France \n", + "9 46.0 FR France \n", + "10 34.0 FR France \n", + "11 20.0 FR France \n", + "12 20.0 FR France \n", + "13 14.0 FR France \n", + "14 13.0 FR France \n", + "15 13.0 FR France \n", + "16 10.0 FR France \n", + "17 16.0 FR France \n", + "18 17.0 FR France \n", + "19 17.0 FR France \n", + "20 9.0 FR France \n", + "21 9.0 FR France \n", + "22 6.0 FR France \n", + "23 7.0 FR France \n", + "24 9.0 FR France \n", + "25 7.0 FR France \n", + "26 12.0 FR France \n", + "27 18.0 FR France \n", + "28 22.0 FR France \n", + "29 30.0 FR France \n", + "... ... ... ... \n", + "1852 59.0 FR France \n", + "1853 64.0 FR France \n", + "1854 97.0 FR France \n", + "1855 93.0 FR France \n", + "1856 80.0 FR France \n", + "1857 116.0 FR France \n", + "1858 149.0 FR France \n", + "1859 281.0 FR France \n", + "1860 395.0 FR France \n", + "1861 485.0 FR France \n", + "1862 544.0 FR France \n", + "1863 689.0 FR France \n", + "1864 722.0 FR France \n", + "1865 762.0 FR France \n", + "1866 926.0 FR France \n", + "1867 1113.0 FR France \n", + "1868 1236.0 FR France \n", + "1869 832.0 FR France \n", + "1870 459.0 FR France \n", + "1871 207.0 FR France \n", + "1872 190.0 FR France \n", + "1873 198.0 FR France \n", + "1874 224.0 FR France \n", + "1875 266.0 FR France \n", + "1876 219.0 FR France \n", + "1877 176.0 FR France \n", + "1878 163.0 FR France \n", + "1879 195.0 FR France \n", + "1880 308.0 FR France \n", + "1881 213.0 FR France \n", + "\n", + "[1881 rows x 10 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -123,10 +2117,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 25, + "metadata": {}, "outputs": [], "source": [ "def convert_week(year_and_week_int):\n", @@ -154,10 +2146,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 26, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -180,9 +2170,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "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 +2198,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'][-200:].plot()" ] @@ -251,10 +2295,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 30, + "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", @@ -273,10 +2315,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 31, + "metadata": {}, "outputs": [], "source": [ "year = []\n", @@ -299,9 +2339,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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"1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -332,21 +2440,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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