diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..b414c964d0e14703466b300d95c53040ea8e6d2d 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -28,10 +28,8 @@ }, { "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\"" @@ -61,9 +59,976 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202012383325881.010783.0139.017.0FRFrance
1202011310170493652.0109756.0154142.0166.0FRFrance
2202010310497796650.0113304.0159146.0172.0FRFrance
32020093110696102066.0119326.0168155.0181.0FRFrance
42020083143753133984.0153522.0218203.0233.0FRFrance
52020073183610172812.0194408.0279263.0295.0FRFrance
62020063206669195481.0217857.0314297.0331.0FRFrance
72020053187957177445.0198469.0285269.0301.0FRFrance
82020043122331113492.0131170.0186173.0199.0FRFrance
920200337841371330.085496.0119108.0130.0FRFrance
1020200235361447654.059574.08172.090.0FRFrance
1120200133685031608.042092.05648.064.0FRFrance
1220195232813523220.033050.04336.050.0FRFrance
1320195132978625042.034530.04538.052.0FRFrance
1420195033422329156.039290.05244.060.0FRFrance
1520194932566221414.029910.03933.045.0FRFrance
1620194832236718055.026679.03427.041.0FRFrance
1720194731866914759.022579.02822.034.0FRFrance
1820194631603012567.019493.02419.029.0FRFrance
192019453101387160.013116.01510.020.0FRFrance
20201944378225010.010634.0128.016.0FRFrance
21201943394876448.012526.0149.019.0FRFrance
22201942377475243.010251.0128.016.0FRFrance
23201941371224720.09524.0117.015.0FRFrance
24201940385055784.011226.0139.017.0FRFrance
25201939370914462.09720.0117.015.0FRFrance
26201938348972891.06903.074.010.0FRFrance
27201937331721367.04977.052.08.0FRFrance
2820193632295728.03862.031.05.0FRFrance
29201935310102.02018.020.04.0FRFrance
.................................
181719852132609619621.032571.04735.059.0FRFrance
181819852032789620885.034907.05138.064.0FRFrance
181919851934315432821.053487.07859.097.0FRFrance
182019851834055529935.051175.07455.093.0FRFrance
182119851733405324366.043740.06244.080.0FRFrance
182219851635036236451.064273.09166.0116.0FRFrance
182319851536388145538.082224.011683.0149.0FRFrance
18241985143134545114400.0154690.0244207.0281.0FRFrance
18251985133197206176080.0218332.0357319.0395.0FRFrance
18261985123245240223304.0267176.0445405.0485.0FRFrance
18271985113276205252399.0300011.0501458.0544.0FRFrance
18281985103353231326279.0380183.0640591.0689.0FRFrance
18291985093369895341109.0398681.0670618.0722.0FRFrance
18301985083389886359529.0420243.0707652.0762.0FRFrance
18311985073471852432599.0511105.0855784.0926.0FRFrance
18321985063565825518011.0613639.01026939.01113.0FRFrance
18331985053637302592795.0681809.011551074.01236.0FRFrance
18341985043424937390794.0459080.0770708.0832.0FRFrance
18351985033213901174689.0253113.0388317.0459.0FRFrance
183619850239758680949.0114223.0177147.0207.0FRFrance
183719850138548965918.0105060.0155120.0190.0FRFrance
183819845238483060602.0109058.0154110.0198.0FRFrance
1839198451310172680242.0123210.0185146.0224.0FRFrance
18401984503123680101401.0145959.0225184.0266.0FRFrance
1841198449310107381684.0120462.0184149.0219.0FRFrance
184219844837862060634.096606.0143110.0176.0FRFrance
184319844737202954274.089784.013199.0163.0FRFrance
184419844638733067686.0106974.0159123.0195.0FRFrance
18451984453135223101414.0169032.0246184.0308.0FRFrance
184619844436842220056.0116788.012537.0213.0FRFrance
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1847 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202012 3 8332 5881.0 10783.0 13 9.0 \n", + "1 202011 3 101704 93652.0 109756.0 154 142.0 \n", + "2 202010 3 104977 96650.0 113304.0 159 146.0 \n", + "3 202009 3 110696 102066.0 119326.0 168 155.0 \n", + "4 202008 3 143753 133984.0 153522.0 218 203.0 \n", + "5 202007 3 183610 172812.0 194408.0 279 263.0 \n", + "6 202006 3 206669 195481.0 217857.0 314 297.0 \n", + "7 202005 3 187957 177445.0 198469.0 285 269.0 \n", + "8 202004 3 122331 113492.0 131170.0 186 173.0 \n", + "9 202003 3 78413 71330.0 85496.0 119 108.0 \n", + "10 202002 3 53614 47654.0 59574.0 81 72.0 \n", + "11 202001 3 36850 31608.0 42092.0 56 48.0 \n", + "12 201952 3 28135 23220.0 33050.0 43 36.0 \n", + "13 201951 3 29786 25042.0 34530.0 45 38.0 \n", + "14 201950 3 34223 29156.0 39290.0 52 44.0 \n", + "15 201949 3 25662 21414.0 29910.0 39 33.0 \n", + "16 201948 3 22367 18055.0 26679.0 34 27.0 \n", + "17 201947 3 18669 14759.0 22579.0 28 22.0 \n", + "18 201946 3 16030 12567.0 19493.0 24 19.0 \n", + "19 201945 3 10138 7160.0 13116.0 15 10.0 \n", + "20 201944 3 7822 5010.0 10634.0 12 8.0 \n", + "21 201943 3 9487 6448.0 12526.0 14 9.0 \n", + "22 201942 3 7747 5243.0 10251.0 12 8.0 \n", + "23 201941 3 7122 4720.0 9524.0 11 7.0 \n", + "24 201940 3 8505 5784.0 11226.0 13 9.0 \n", + "25 201939 3 7091 4462.0 9720.0 11 7.0 \n", + "26 201938 3 4897 2891.0 6903.0 7 4.0 \n", + "27 201937 3 3172 1367.0 4977.0 5 2.0 \n", + "28 201936 3 2295 728.0 3862.0 3 1.0 \n", + "29 201935 3 1010 2.0 2018.0 2 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "1817 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1818 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1819 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1820 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1821 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1822 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1823 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1824 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1825 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1826 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1827 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1828 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1829 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1830 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1831 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1832 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1833 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1834 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1835 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1836 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1837 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1838 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1839 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1840 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1841 198449 3 101073 81684.0 120462.0 184 149.0 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"26 10.0 FR France \n", + "27 8.0 FR France \n", + "28 5.0 FR France \n", + "29 4.0 FR France \n", + "... ... ... ... \n", + "1817 59.0 FR France \n", + "1818 64.0 FR France \n", + "1819 97.0 FR France \n", + "1820 93.0 FR France \n", + "1821 80.0 FR France \n", + "1822 116.0 FR France \n", + "1823 149.0 FR France \n", + "1824 281.0 FR France \n", + "1825 395.0 FR France \n", + "1826 485.0 FR France \n", + "1827 544.0 FR France \n", + "1828 689.0 FR France \n", + "1829 722.0 FR France \n", + "1830 762.0 FR France \n", + "1831 926.0 FR France \n", + "1832 1113.0 FR France \n", + "1833 1236.0 FR France \n", + "1834 832.0 FR France \n", + "1835 459.0 FR France \n", + "1836 207.0 FR France \n", + "1837 190.0 FR France \n", + "1838 198.0 FR France \n", + "1839 224.0 FR France \n", + "1840 266.0 FR France \n", + "1841 219.0 FR France \n", + "1842 176.0 FR France \n", + "1843 163.0 FR France \n", + "1844 195.0 FR France \n", + "1845 308.0 FR France \n", + "1846 213.0 FR France \n", + "\n", + "[1847 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" @@ -78,9 +1043,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202012383325881.010783.0139.017.0FRFrance
1202011310170493652.0109756.0154142.0166.0FRFrance
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32020093110696102066.0119326.0168155.0181.0FRFrance
42020083143753133984.0153522.0218203.0233.0FRFrance
52020073183610172812.0194408.0279263.0295.0FRFrance
62020063206669195481.0217857.0314297.0331.0FRFrance
72020053187957177445.0198469.0285269.0301.0FRFrance
82020043122331113492.0131170.0186173.0199.0FRFrance
920200337841371330.085496.0119108.0130.0FRFrance
1020200235361447654.059574.08172.090.0FRFrance
1120200133685031608.042092.05648.064.0FRFrance
1220195232813523220.033050.04336.050.0FRFrance
1320195132978625042.034530.04538.052.0FRFrance
1420195033422329156.039290.05244.060.0FRFrance
1520194932566221414.029910.03933.045.0FRFrance
1620194832236718055.026679.03427.041.0FRFrance
1720194731866914759.022579.02822.034.0FRFrance
1820194631603012567.019493.02419.029.0FRFrance
192019453101387160.013116.01510.020.0FRFrance
20201944378225010.010634.0128.016.0FRFrance
21201943394876448.012526.0149.019.0FRFrance
22201942377475243.010251.0128.016.0FRFrance
23201941371224720.09524.0117.015.0FRFrance
24201940385055784.011226.0139.017.0FRFrance
25201939370914462.09720.0117.015.0FRFrance
26201938348972891.06903.074.010.0FRFrance
27201937331721367.04977.052.08.0FRFrance
2820193632295728.03862.031.05.0FRFrance
29201935310102.02018.020.04.0FRFrance
.................................
181719852132609619621.032571.04735.059.0FRFrance
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1846 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202012 3 8332 5881.0 10783.0 13 9.0 \n", + "1 202011 3 101704 93652.0 109756.0 154 142.0 \n", + "2 202010 3 104977 96650.0 113304.0 159 146.0 \n", + "3 202009 3 110696 102066.0 119326.0 168 155.0 \n", + "4 202008 3 143753 133984.0 153522.0 218 203.0 \n", + "5 202007 3 183610 172812.0 194408.0 279 263.0 \n", + "6 202006 3 206669 195481.0 217857.0 314 297.0 \n", + "7 202005 3 187957 177445.0 198469.0 285 269.0 \n", + "8 202004 3 122331 113492.0 131170.0 186 173.0 \n", + "9 202003 3 78413 71330.0 85496.0 119 108.0 \n", + "10 202002 3 53614 47654.0 59574.0 81 72.0 \n", + "11 202001 3 36850 31608.0 42092.0 56 48.0 \n", + "12 201952 3 28135 23220.0 33050.0 43 36.0 \n", + "13 201951 3 29786 25042.0 34530.0 45 38.0 \n", + "14 201950 3 34223 29156.0 39290.0 52 44.0 \n", + "15 201949 3 25662 21414.0 29910.0 39 33.0 \n", + "16 201948 3 22367 18055.0 26679.0 34 27.0 \n", + "17 201947 3 18669 14759.0 22579.0 28 22.0 \n", + "18 201946 3 16030 12567.0 19493.0 24 19.0 \n", + "19 201945 3 10138 7160.0 13116.0 15 10.0 \n", + "20 201944 3 7822 5010.0 10634.0 12 8.0 \n", + "21 201943 3 9487 6448.0 12526.0 14 9.0 \n", + "22 201942 3 7747 5243.0 10251.0 12 8.0 \n", + "23 201941 3 7122 4720.0 9524.0 11 7.0 \n", + "24 201940 3 8505 5784.0 11226.0 13 9.0 \n", + "25 201939 3 7091 4462.0 9720.0 11 7.0 \n", + "26 201938 3 4897 2891.0 6903.0 7 4.0 \n", + "27 201937 3 3172 1367.0 4977.0 5 2.0 \n", + "28 201936 3 2295 728.0 3862.0 3 1.0 \n", + "29 201935 3 1010 2.0 2018.0 2 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "1817 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1818 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1819 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1820 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1821 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1822 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1823 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1824 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1825 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1826 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1827 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1828 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1829 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1830 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1831 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1832 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1833 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1834 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1835 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1836 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1837 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1838 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1839 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1840 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1841 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1842 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1843 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1844 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1845 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1846 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 17.0 FR France \n", + "1 166.0 FR France \n", + "2 172.0 FR France \n", + "3 181.0 FR France \n", + "4 233.0 FR France \n", + "5 295.0 FR France \n", + "6 331.0 FR France \n", + "7 301.0 FR France \n", + "8 199.0 FR France \n", + "9 130.0 FR France \n", + "10 90.0 FR France \n", + "11 64.0 FR France \n", + "12 50.0 FR France \n", + "13 52.0 FR France \n", + "14 60.0 FR France \n", + "15 45.0 FR France \n", + "16 41.0 FR France \n", + "17 34.0 FR France \n", + "18 29.0 FR France \n", + "19 20.0 FR France \n", + "20 16.0 FR France \n", + "21 19.0 FR France \n", + "22 16.0 FR France \n", + "23 15.0 FR France \n", + "24 17.0 FR France \n", + "25 15.0 FR France \n", + "26 10.0 FR France \n", + "27 8.0 FR France \n", + "28 5.0 FR France \n", + "29 4.0 FR France \n", + "... ... ... ... \n", + "1817 59.0 FR France \n", + "1818 64.0 FR France \n", + "1819 97.0 FR France \n", + "1820 93.0 FR France \n", + "1821 80.0 FR France \n", + "1822 116.0 FR France \n", + "1823 149.0 FR France \n", + "1824 281.0 FR France \n", + "1825 395.0 FR France \n", + "1826 485.0 FR France \n", + "1827 544.0 FR France \n", + "1828 689.0 FR France \n", + "1829 722.0 FR France \n", + "1830 762.0 FR France \n", + "1831 926.0 FR France \n", + "1832 1113.0 FR France \n", + "1833 1236.0 FR France \n", + "1834 832.0 FR France \n", + "1835 459.0 FR France \n", + "1836 207.0 FR France \n", + "1837 190.0 FR France \n", + "1838 198.0 FR France \n", + "1839 224.0 FR France \n", + "1840 266.0 FR France \n", + "1841 219.0 FR France \n", + "1842 176.0 FR France \n", + "1843 163.0 FR France \n", + "1844 195.0 FR France \n", + "1845 308.0 FR France \n", + "1846 213.0 FR France \n", + "\n", + "[1846 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2118,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2148,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,9 +2173,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n" + ] + } + ], "source": [ "periods = sorted_data.index\n", "for p1, p2 in zip(periods[:-1], periods[1:]):\n", @@ -199,9 +2201,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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"1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2445,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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