diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..a4d53db7564cf8293ac400f927fe294ed27073f6 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
020233938211270891.093333.0124107.0141.0FRFrance
120233836356755525.071609.09684.0108.0FRFrance
220233734908542079.056091.07463.085.0FRFrance
320233633824732237.044257.05849.067.0FRFrance
420233533169526013.037377.04839.057.0FRFrance
520233432666321057.032269.04032.048.0FRFrance
620233331914413161.025127.02920.038.0FRFrance
720233231464110285.018997.02215.029.0FRFrance
820233131528610705.019867.02316.030.0FRFrance
92023303132058647.017763.02013.027.0FRFrance
102023293111227113.015131.01711.023.0FRFrance
11202328391795703.012655.0149.019.0FRFrance
12202327389995763.012235.0149.019.0FRFrance
13202326390235934.012112.0149.019.0FRFrance
142023253100906739.013441.01510.020.0FRFrance
152023243113087639.014977.01711.023.0FRFrance
1620232331430010661.017939.02217.027.0FRFrance
1720232231830313822.022784.02821.035.0FRFrance
1820232131646012188.020732.02519.031.0FRFrance
1920232031616211963.020361.02418.030.0FRFrance
2020231931690112577.021225.02518.032.0FRFrance
2120231831992915402.024456.03023.037.0FRFrance
2220231732700721779.032235.04133.049.0FRFrance
2320231632787522767.032983.04234.050.0FRFrance
2420231533745530993.043917.05646.066.0FRFrance
2520231434806040671.055449.07261.083.0FRFrance
2620231336485956800.072918.09886.0110.0FRFrance
2720231237275064499.081001.010997.0121.0FRFrance
2820231137463866420.082856.0112100.0124.0FRFrance
2920231037636868243.084493.0115103.0127.0FRFrance
.................................
200119852132609619621.032571.04735.059.0FRFrance
200219852032789620885.034907.05138.064.0FRFrance
200319851934315432821.053487.07859.097.0FRFrance
200419851834055529935.051175.07455.093.0FRFrance
200519851733405324366.043740.06244.080.0FRFrance
200619851635036236451.064273.09166.0116.0FRFrance
200719851536388145538.082224.011683.0149.0FRFrance
20081985143134545114400.0154690.0244207.0281.0FRFrance
20091985133197206176080.0218332.0357319.0395.0FRFrance
20101985123245240223304.0267176.0445405.0485.0FRFrance
20111985113276205252399.0300011.0501458.0544.0FRFrance
20121985103353231326279.0380183.0640591.0689.0FRFrance
20131985093369895341109.0398681.0670618.0722.0FRFrance
20141985083389886359529.0420243.0707652.0762.0FRFrance
20151985073471852432599.0511105.0855784.0926.0FRFrance
20161985063565825518011.0613639.01026939.01113.0FRFrance
20171985053637302592795.0681809.011551074.01236.0FRFrance
20181985043424937390794.0459080.0770708.0832.0FRFrance
20191985033213901174689.0253113.0388317.0459.0FRFrance
202019850239758680949.0114223.0177147.0207.0FRFrance
202119850138548965918.0105060.0155120.0190.0FRFrance
202219845238483060602.0109058.0154110.0198.0FRFrance
2023198451310172680242.0123210.0185146.0224.0FRFrance
20241984503123680101401.0145959.0225184.0266.0FRFrance
2025198449310107381684.0120462.0184149.0219.0FRFrance
202619844837862060634.096606.0143110.0176.0FRFrance
202719844737202954274.089784.013199.0163.0FRFrance
202819844638733067686.0106974.0159123.0195.0FRFrance
20291984453135223101414.0169032.0246184.0308.0FRFrance
203019844436842220056.0116788.012537.0213.0FRFrance
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2031 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202339 3 82112 70891.0 93333.0 124 107.0 \n", + "1 202338 3 63567 55525.0 71609.0 96 84.0 \n", + "2 202337 3 49085 42079.0 56091.0 74 63.0 \n", + "3 202336 3 38247 32237.0 44257.0 58 49.0 \n", + "4 202335 3 31695 26013.0 37377.0 48 39.0 \n", + "5 202334 3 26663 21057.0 32269.0 40 32.0 \n", + "6 202333 3 19144 13161.0 25127.0 29 20.0 \n", + "7 202332 3 14641 10285.0 18997.0 22 15.0 \n", + "8 202331 3 15286 10705.0 19867.0 23 16.0 \n", + "9 202330 3 13205 8647.0 17763.0 20 13.0 \n", + "10 202329 3 11122 7113.0 15131.0 17 11.0 \n", + "11 202328 3 9179 5703.0 12655.0 14 9.0 \n", + "12 202327 3 8999 5763.0 12235.0 14 9.0 \n", + "13 202326 3 9023 5934.0 12112.0 14 9.0 \n", + "14 202325 3 10090 6739.0 13441.0 15 10.0 \n", + "15 202324 3 11308 7639.0 14977.0 17 11.0 \n", + "16 202323 3 14300 10661.0 17939.0 22 17.0 \n", + "17 202322 3 18303 13822.0 22784.0 28 21.0 \n", + "18 202321 3 16460 12188.0 20732.0 25 19.0 \n", + "19 202320 3 16162 11963.0 20361.0 24 18.0 \n", + "20 202319 3 16901 12577.0 21225.0 25 18.0 \n", + "21 202318 3 19929 15402.0 24456.0 30 23.0 \n", + "22 202317 3 27007 21779.0 32235.0 41 33.0 \n", + "23 202316 3 27875 22767.0 32983.0 42 34.0 \n", + "24 202315 3 37455 30993.0 43917.0 56 46.0 \n", + "25 202314 3 48060 40671.0 55449.0 72 61.0 \n", + "26 202313 3 64859 56800.0 72918.0 98 86.0 \n", + "27 202312 3 72750 64499.0 81001.0 109 97.0 \n", + "28 202311 3 74638 66420.0 82856.0 112 100.0 \n", + "29 202310 3 76368 68243.0 84493.0 115 103.0 \n", + "... ... ... ... ... ... ... ... \n", + "2001 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2002 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2003 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2004 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2005 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2006 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2007 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2008 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2009 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2010 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2011 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2012 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2013 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2014 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2015 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2016 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2017 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2018 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2019 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2020 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2021 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2022 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2023 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2024 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2025 198449 3 101073 81684.0 120462.0 184 149.0 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110.0 FR France \n", + "27 121.0 FR France \n", + "28 124.0 FR France \n", + "29 127.0 FR France \n", + "... ... ... ... \n", + "2001 59.0 FR France \n", + "2002 64.0 FR France \n", + "2003 97.0 FR France \n", + "2004 93.0 FR France \n", + "2005 80.0 FR France \n", + "2006 116.0 FR France \n", + "2007 149.0 FR France \n", + "2008 281.0 FR France \n", + "2009 395.0 FR France \n", + "2010 485.0 FR France \n", + "2011 544.0 FR France \n", + "2012 689.0 FR France \n", + "2013 722.0 FR France \n", + "2014 762.0 FR France \n", + "2015 926.0 FR France \n", + "2016 1113.0 FR France \n", + "2017 1236.0 FR France \n", + "2018 832.0 FR France \n", + "2019 459.0 FR France \n", + "2020 207.0 FR France \n", + "2021 190.0 FR France \n", + "2022 198.0 FR France \n", + "2023 224.0 FR France \n", + "2024 266.0 FR France \n", + "2025 219.0 FR France \n", + "2026 176.0 FR France \n", + "2027 163.0 FR France \n", + "2028 195.0 FR France \n", + "2029 308.0 FR France \n", + "2030 213.0 FR France \n", + "\n", + "[2031 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
020233938211270891.093333.0124107.0141.0FRFrance
120233836356755525.071609.09684.0108.0FRFrance
220233734908542079.056091.07463.085.0FRFrance
320233633824732237.044257.05849.067.0FRFrance
420233533169526013.037377.04839.057.0FRFrance
520233432666321057.032269.04032.048.0FRFrance
620233331914413161.025127.02920.038.0FRFrance
720233231464110285.018997.02215.029.0FRFrance
820233131528610705.019867.02316.030.0FRFrance
92023303132058647.017763.02013.027.0FRFrance
102023293111227113.015131.01711.023.0FRFrance
11202328391795703.012655.0149.019.0FRFrance
12202327389995763.012235.0149.019.0FRFrance
13202326390235934.012112.0149.019.0FRFrance
142023253100906739.013441.01510.020.0FRFrance
152023243113087639.014977.01711.023.0FRFrance
1620232331430010661.017939.02217.027.0FRFrance
1720232231830313822.022784.02821.035.0FRFrance
1820232131646012188.020732.02519.031.0FRFrance
1920232031616211963.020361.02418.030.0FRFrance
2020231931690112577.021225.02518.032.0FRFrance
2120231831992915402.024456.03023.037.0FRFrance
2220231732700721779.032235.04133.049.0FRFrance
2320231632787522767.032983.04234.050.0FRFrance
2420231533745530993.043917.05646.066.0FRFrance
2520231434806040671.055449.07261.083.0FRFrance
2620231336485956800.072918.09886.0110.0FRFrance
2720231237275064499.081001.010997.0121.0FRFrance
2820231137463866420.082856.0112100.0124.0FRFrance
2920231037636868243.084493.0115103.0127.0FRFrance
.................................
200119852132609619621.032571.04735.059.0FRFrance
200219852032789620885.034907.05138.064.0FRFrance
200319851934315432821.053487.07859.097.0FRFrance
200419851834055529935.051175.07455.093.0FRFrance
200519851733405324366.043740.06244.080.0FRFrance
200619851635036236451.064273.09166.0116.0FRFrance
200719851536388145538.082224.011683.0149.0FRFrance
20081985143134545114400.0154690.0244207.0281.0FRFrance
20091985133197206176080.0218332.0357319.0395.0FRFrance
20101985123245240223304.0267176.0445405.0485.0FRFrance
20111985113276205252399.0300011.0501458.0544.0FRFrance
20121985103353231326279.0380183.0640591.0689.0FRFrance
20131985093369895341109.0398681.0670618.0722.0FRFrance
20141985083389886359529.0420243.0707652.0762.0FRFrance
20151985073471852432599.0511105.0855784.0926.0FRFrance
20161985063565825518011.0613639.01026939.01113.0FRFrance
20171985053637302592795.0681809.011551074.01236.0FRFrance
20181985043424937390794.0459080.0770708.0832.0FRFrance
20191985033213901174689.0253113.0388317.0459.0FRFrance
202019850239758680949.0114223.0177147.0207.0FRFrance
202119850138548965918.0105060.0155120.0190.0FRFrance
202219845238483060602.0109058.0154110.0198.0FRFrance
2023198451310172680242.0123210.0185146.0224.0FRFrance
20241984503123680101401.0145959.0225184.0266.0FRFrance
2025198449310107381684.0120462.0184149.0219.0FRFrance
202619844837862060634.096606.0143110.0176.0FRFrance
202719844737202954274.089784.013199.0163.0FRFrance
202819844638733067686.0106974.0159123.0195.0FRFrance
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2030 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202339 3 82112 70891.0 93333.0 124 107.0 \n", + "1 202338 3 63567 55525.0 71609.0 96 84.0 \n", + "2 202337 3 49085 42079.0 56091.0 74 63.0 \n", + "3 202336 3 38247 32237.0 44257.0 58 49.0 \n", + "4 202335 3 31695 26013.0 37377.0 48 39.0 \n", + "5 202334 3 26663 21057.0 32269.0 40 32.0 \n", + "6 202333 3 19144 13161.0 25127.0 29 20.0 \n", + "7 202332 3 14641 10285.0 18997.0 22 15.0 \n", + "8 202331 3 15286 10705.0 19867.0 23 16.0 \n", + "9 202330 3 13205 8647.0 17763.0 20 13.0 \n", + "10 202329 3 11122 7113.0 15131.0 17 11.0 \n", + "11 202328 3 9179 5703.0 12655.0 14 9.0 \n", + "12 202327 3 8999 5763.0 12235.0 14 9.0 \n", + "13 202326 3 9023 5934.0 12112.0 14 9.0 \n", + "14 202325 3 10090 6739.0 13441.0 15 10.0 \n", + "15 202324 3 11308 7639.0 14977.0 17 11.0 \n", + "16 202323 3 14300 10661.0 17939.0 22 17.0 \n", + "17 202322 3 18303 13822.0 22784.0 28 21.0 \n", + "18 202321 3 16460 12188.0 20732.0 25 19.0 \n", + "19 202320 3 16162 11963.0 20361.0 24 18.0 \n", + "20 202319 3 16901 12577.0 21225.0 25 18.0 \n", + "21 202318 3 19929 15402.0 24456.0 30 23.0 \n", + "22 202317 3 27007 21779.0 32235.0 41 33.0 \n", + "23 202316 3 27875 22767.0 32983.0 42 34.0 \n", + "24 202315 3 37455 30993.0 43917.0 56 46.0 \n", + "25 202314 3 48060 40671.0 55449.0 72 61.0 \n", + "26 202313 3 64859 56800.0 72918.0 98 86.0 \n", + "27 202312 3 72750 64499.0 81001.0 109 97.0 \n", + "28 202311 3 74638 66420.0 82856.0 112 100.0 \n", + "29 202310 3 76368 68243.0 84493.0 115 103.0 \n", + "... ... ... ... ... ... ... ... \n", + "2001 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2002 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2003 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2004 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2005 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2006 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2007 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2008 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2009 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2010 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2011 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2012 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2013 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2014 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2015 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2016 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2017 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2018 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2019 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2020 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2021 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2022 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2023 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2024 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2025 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2026 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2027 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2028 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2029 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2030 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 141.0 FR France \n", + "1 108.0 FR France \n", + "2 85.0 FR France \n", + "3 67.0 FR France \n", + "4 57.0 FR France \n", + "5 48.0 FR France \n", + "6 38.0 FR France \n", + "7 29.0 FR France \n", + "8 30.0 FR France \n", + "9 27.0 FR France \n", + "10 23.0 FR France \n", + "11 19.0 FR France \n", + "12 19.0 FR France \n", + "13 19.0 FR France \n", + "14 20.0 FR France \n", + "15 23.0 FR France \n", + "16 27.0 FR France \n", + "17 35.0 FR France \n", + "18 31.0 FR France \n", + "19 30.0 FR France \n", + "20 32.0 FR France \n", + "21 37.0 FR France \n", + "22 49.0 FR France \n", + "23 50.0 FR France \n", + "24 66.0 FR France \n", + "25 83.0 FR France \n", + "26 110.0 FR France \n", + "27 121.0 FR France \n", + "28 124.0 FR France \n", + "29 127.0 FR France \n", + "... ... ... ... \n", + "2001 59.0 FR France \n", + "2002 64.0 FR France \n", + "2003 97.0 FR France \n", + "2004 93.0 FR France \n", + "2005 80.0 FR France \n", + "2006 116.0 FR France \n", + "2007 149.0 FR France \n", + "2008 281.0 FR France \n", + "2009 395.0 FR France \n", + "2010 485.0 FR France \n", + "2011 544.0 FR France \n", + "2012 689.0 FR France \n", + "2013 722.0 FR France \n", + "2014 762.0 FR France \n", + "2015 926.0 FR France \n", + "2016 1113.0 FR France \n", + "2017 1236.0 FR France \n", + "2018 832.0 FR France \n", + "2019 459.0 FR France \n", + "2020 207.0 FR France \n", + "2021 190.0 FR France \n", + "2022 198.0 FR France \n", + "2023 224.0 FR France \n", + "2024 266.0 FR France \n", + "2025 219.0 FR France \n", + "2026 176.0 FR France \n", + "2027 163.0 FR France \n", + "2028 195.0 FR France \n", + "2029 308.0 FR France \n", + "2030 213.0 FR France \n", + "\n", + "[2030 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", @@ -199,11 +2201,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "int64\n" + ] + } + ], "source": [ - "sorted_data['inc'].plot()" + "sorted_data['inc']=pd.to_numeric(sorted_data['inc'],errors='coerce')\n", + "print(sorted_data['inc'].dtypes)" ] }, { @@ -215,9 +2226,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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ZZEzRMMa8BHSkeLzLgIeNMQFjzG5gB7BSRBqBKmPMGmOMAe4HLk/Y5z7r+aPA+ZYVchGwyhjTYYzpBFaRXLxyQiAcHbSQCGL1p/SuRslHBkLRuOvmiHuqeERjwA6ED7I0Ys97VTQyykRiGl8WkXcs95VtAcwEmhK22W+NzbSeDx0ftI8xJgx0A3WjHCsvCIQjwwLh5VZMI6aLipI/DCRYGt64e6p4fP12TKPMk2hpaDfNbJCuaPwMOA5YChwCvm+NS5JtzSjj6e4zCBG5QUTWici61tbW0eadMUZKuY1ETXy1uKLkCwODYhrF557yJbM0SmxLo7gWMuaatETDGNNsjIkYY6LAL4jFHCBmDcxO2HQWcNAan5VkfNA+IuICqom5w0Y6VrL53GWMWWGMWdHQ0JDORxo3yVJu7XQ/DYYr+YYvGBnmniquxX0R3E4Z9JussmIavfp7zChpiYYVo7D5GGBnVj0OXGVlRB1DLOC91hhzCOgVkdOteMU1wGMJ+9iZUVcAz1txj6eBC0WkxnJ/XWiN5QXBEWIaoH3ClfzDH4okBMKLMaYRGWRlQGwRo9spGtPIMK6xNhCRh4BzgXoR2U8so+lcEVlKzF20B/g8gDFmk4g8AmwGwsCNxhj7m/lFYplYpcCT1gPgbuABEdlBzMK4yjpWh4h8C3jD2u6bxphUA/JZJxCODHNPxfuE66pwJY8IRWLF/Iam3BaTe6o/EB4UzwAQkdiCWxWNjDKmaBhjrk4yfPco298K3JpkfB2wJMm4H7hyhGPdA9wz1hxzQTCSLKah7ikl/xiwLIqSISm3xRQI9yWUSUmkssStMY0MoyvC0yQQGh7TqCzRFD8l/7AtingZEVfxuad8wXDc0k+kwuvS32OGUdFIk6GtJeHIYiL9kir5hC9eNvxI7xePyxG3QIqB/hEtDZcGwjOMikaaBELD3VP2YiLNC1fyiXivCfeRO/ESl4NAEdWe8gXDwwLhYLun9PeYSVQ00iS5paF54Ur+MRCKXTQTi/mVepzF5Z4KjGxp9AX095hJVDTSIByJEoma4Sm3Hhci6p5S8ouBYMyiSLyolriLTDSCkUHFCm0qSzSmkWlUNNIgGBncH9zG4RANvCl5h71a2l6nAbFgeHHFNMKUeYdbGnbKrZb2yRwqGmlg+4KHxjQgtgq1R91TSh5hi0Oie6rE4yyafhrGmFFTbsNRUzSfNR9Q0UiDkSwNsHyoamkoecSRQHiipeEoGvdUIBxzFycLhMfrT2lcI2OoaKSB3QlsaEwDNC9cyT9sS6NYYxoDSVq92lTp2qmMo6KRBnaht5EsDb2rUfIJe51GSaKl4XYUjcvGLttTlmRxny64zTwqGmkQCI8c09C8cCXf8IciOGTw97XU7Syadq++4HBLyqbCq937Mo2KRhrYojGipaFfUCWP8FkVYGMFpmOUuJ1FU7DQrvU2Usot6NqpTKKikQbxmIYzuaWhdzVKPjEQigxyTUFxxjSSWxp2IFx/k5lCRSMN4u4pd3JLIxiJFs0PUil8BpKko5a4nUVT5bbfDoQniWlUaT24jKOikQa2peFxJi9bAPolVfKHgWBkULotxALhwXCUaLTwF73FFy8mszTsPuH6e8wYKhppYGdPjWRpgPpQlfzBF4oMu6DGu/cVQTDcF0+5HW5pOB1Cmcepv8cMoqKRBkcsjSSi4VVzWMkvBoLhYZZGabzla+G7qOxAeLIyImAXLdTfY6ZQ0UiDoZ3QElH3lJJvDISSxTSs7n1FEHvrD1iB8CS/R9AFt5lGRSMN4mUZRqh1A2g5ZiVv8AUjlIzgniqGooWdviCVXheuJJY/xDoW2nEPZeKoaKTBaIuJbEujR+9slDzBH4wMuwuPxzSKQDS6fEFqyj0jvl7mccZ/s8rEUdFIA18wgsfpwJ10nYa6p5T8YtRAeBHENDp9IWrK3CO+rqKRWVQ00mAgGE7qmoKExUSaraHkCQPBJKLhKp6YRqcvyJSy0SwNdU9lEhWNNBipdj+Ay+mwUvz0S6rknkjUEAhHk6zTKB73VKcvSO0o7qlST/GUTMkHVDTSwJfkzi2RxJ4afYEwHf3ByZqaogzCn6QsOhxJ4igG91RXf4gpo7inyj1OfEUgjvmCikYa+ILhES0NsCrdWtlTN/3uHT75i9cma2qKMoj++GrpwQvfSlzFkT0VDEfpDYSpGcU9Vepx4QsU9ufMJ4YvoVTGxBeMUOYe+dTZeeHRqOHl7W10D4Ro7vHTUOEFYr3EFWUysN2kdjMim2JZp9E1ELPix8qeCkaihCPREdNyldTRM5gGA6HIiKtPAaZVednZ0seWwz10D8Qsjtd2tXPbE1v4+M9enaxpKkpcNCqHioanOGIaXb7Y72us7ClAXVQZQkUjDUYLhANcuGg6B7v9/PzFXUCs78YL21p5aO0+drX2TdY0FSWexWcvOrWx3VOBAq90a8cLR3NP2b3DNRieGVQ00iBWNXRk99SFi6fhcTl4/O2DzJxSytnz6/nDhgP0ByP0ByMYU/iVRZXCwE7IqBhSNtztFBxS+BfSLl8qohETyH6tP5URVDTSIJVA+AcXTgXgtGNrOf3YWmydiERNUWSsKIXBSO4pEYm1fC1wl02n7Z4qH9k9ZWeK6QK/zKCikQZjuacALj1lBgCnHVPLmcfVAzC7thRAK24qk0bPCO4psBsxFfaFNDX3VHFkiuULY4qGiNwjIi0i8m7CWK2IrBKR7dbfmoTXvi4iO0Rkm4hclDC+XEQ2Wq/dIVbDYhHxishvrPHXRWRewj7XWu+xXUSuzdSHngjxxVJjiMZFi6fxnx8/icuWzmTJzGruve59/P15CwAVDWXy6B3BPQV2n/DCtnq7fEFK3c6kFadt7JiGWhqZIRVL417g4iFjNwHPGWMWAM9Z/0ZEFgFXAYutfX4qIvb/5s+AG4AF1sM+5vVApzFmPvBD4HbrWLXAzcBpwErg5kRxyhV2OYJkDV8ScTkdXL1yTvzLfO7CqfG0QO0ipkwWvf4w5R4nziRp3l63owgsjdHrTkFC9pTerGWEMUXDGPMS0DFk+DLgPuv5fcDlCeMPG2MCxpjdwA5gpYg0AlXGmDUmFgW+f8g+9rEeBc63rJCLgFXGmA5jTCewiuHiNemMVhZ9LOy7PbU0lMmiLxBK6pqCWCOmQIG7bLrGqDsFCaKhlkZGSDemMc0YcwjA+jvVGp8JNCVst98am2k9Hzo+aB9jTBjoBupGOVZOGa0s+lioaCiTTa8/PCwIblPidha8n3+sulOQEAgv8M+aL2Q6EJ5sqbMZZTzdfQa/qcgNIrJORNa1tramNNF0mZBoWD9eTf1TJovRRcNR8Jl8nb7R605B4joN/d1lgnRFo9lyOWH9bbHG9wOzE7abBRy0xmclGR+0j4i4gGpi7rCRjjUMY8xdxpgVxpgVDQ0NaX6k1BgIJa/lkwrxsukqGsok0esPUTGKe6rwU26Do2ZOwZF+6P1J6k/tbuvnKw+v51D3QFbmV4ykKxqPA3Y207XAYwnjV1kZUccQC3ivtVxYvSJyuhWvuGbIPvaxrgCet+IeTwMXikiNFQC/0BrLKRlxT2kgXJkkRrM0vAUuGpGooXtg7EC40yGUuB3DXHG7Wvu46q41PLbhIH9Yn/R+VElCKim3DwFrgIUisl9Erge+A1wgItuBC6x/Y4zZBDwCbAaeAm40xtj/U18EfkksOL4TeNIavxuoE5EdwNewMrGMMR3At4A3rMc3rbGcYt+tDO1PkAolbgdOh6h7Spk0egPhYcUKbUpczoJ2T/X6QxgD1WNYGpC8EdNtT2wlEI4yo7qENbvaszXNomNMH4sx5uoRXjp/hO1vBW5NMr4OWJJk3A9cOcKx7gHuGWuOk4ntnipPkvc+FiJCucepgXBl0uj1j5I95XEUtKVhFwOtLh3d0oDYTd7Q7Kn9nT7eN6+WGdUlPLJuP8FwFI9L1zuPhZ6hcTIR9xTEVuaqaCiTQSgSxR+KUjnCDU7M0jg6RKPc6xzWU6OtL0BDpZczjqtjIBThnf1dWZlnsaGiMU4msk4DYnENjWkok0F8NfgYKbeFWkBzXJaGxzUo5TYcidLeH6Shwstpx9QhAmt2qosqFVQ0xknc0kgjpgGxOx61NJTJYKSy6DYlbgdRA6FIYYvGWCm3EPu9JqbcdvQHMQYaKr3UlHs4YXqVxjVSREVjnPiCETxOR9odwCrUPaVMEiNVuLWxS9wUaimR8VgaZZ7BMY2W3gAA9VY3zaWzq9l6uDcLsyw+VDTGyUAwnLZrCqBCLQ1lkkhZNAq0vMa4RMPrGiQarX0x0WiojInGnNpyOvqDcetMGRkVjXHSH4xQPiHRcGnKrTIpxN1T3pHcU3bL18JMu+32hfC4HKNWuLUpczsHpdy2WZbGVEs05tWVAbC33ZeFmRYXKhrjZCAYmaCl4dZAuDIpjGVplBaBeyoVKwNiiSvJLA3bPTXHEo19HSoaY6GiMU5iXfvGv0bDpsLrpC8YLtiMFaVwOBIIH7n2FBRuy9fxiEaZx8lAQqvl1t4AlV5X/AZwbl05AHva+7Mz2SJCRWOc+CZqaZS4MEbLNCvZJ5WUW6Bg12qMRzTKvS7CUUMwEnPFtfYGqLdcUxBzG9eVe9hXwO6p+9fs4Rcv7cr6+6hojJOB0NitXkejXMujK5NEXyCMx+XA60r+fT2SPVWgMY3xuKesz2pbVa29ARoqvIO2mVtXVtAxjT+9fYhntzRn/X1UNMZJKv3BR0N7aiiTRY9/5LpTcMQ9dTRYGkMbMbVaq8ETmVtXXtAxjeZeP9OqSrL+Pioa42QgGKHUnX5Mw/YvazBcyTZ9gXDS3uA2R5N7qnSIaLT1DheNObVlHOweIFCAiQHGGA53+5lW5R174wmiojFOevyhEQOLqWD3FldLQ8k2/YHwiPEMKGzRiEQNvf4wVSmKRl157GJ6uNuPPxShxx9OYmmUYQw0dRReb42egTCBcFQtjXwjFInS6w+P2fRlNOwfsYqGkm36/OH4TUoySgt4nYadGZaqpXHSrGoANjR10hZPtx38O7YzqPZ19OMPRTjvey/w36t3FESm4+EeP4CKRr7R5Yt9UWvLU/uiJkMbMSmTxdjuKSvltgAtjXjdqRRFo7rUzYKpFby1r4vmnsGrwW3mJizw293Wz+62fv7r6W1858mteS8czZZoTK9W0cgrOn1BAGrGaGQ/GhoIVyaL/uAY7ilX4bqnxlNCxGbZnCms39fJi++1IgKLGqsHvV5X7qHc42Rvuy8eED9nQT0/f2kX//cP7xKN5q9w2KIxrVJFI6/o6I+JRu0E3FN2ym2/NrlXskyfPzxqszCHQ/C4HAXpnrKt/uoUKtzaLJtTQ6cvxH2v7uGMY+uG3ZWLCHPqytnb3k+TJRo/vnoZXzz3OB58fR/3r9mTqelnHFs0pmogPL/osiyNKRMQDa8r1vJ1aEMYRck0fYHwiA2YbEpchdm9L11Lw9738mUzk24zr66MvR0+9rb7qCpxMaXMw79efALzp1bw4nutE594lmjuCTClzJ1SHa6JoqIxDjr67ZhG+qIhIpR5nGppKFklFIkSCEfHbEtc4i7M7n3piMaCqZVUeF14XQ4uXjI96TZz6srY3zHAnvb+eD0qgJXH1LJuTyeRPHVRHe7xT4prClQ0xkVn3NJIPxAOsbRbrXSrZBP7+zVaIBxi6xeOFtFwOoTLl83g06fPpWqExlRza8sJRqK8tbeTObVHROO0Y2rpDYTZcqhnYhPPEi09fqZNQhAcVDTGRUd/kHKPc8ImYLnXSb/WnlLS4EDXAJ/9n7U8s+nwqBk98bpTY7qnnAUZ0+gZSL0seiLfvvwk/u2vFo34up1B1R+MMKe2PD6+8phaAF7f3ZHGbLNPc0+AaZXZj2eAisa46PQFJxTPsCn3uvCppaGkwcvvtfLCtlZueOBNvvPk1hG3s92fo2VPQSztthBTbtv7g9RNwE08EnMTXFKJlkZjdSlzastYuzv/WsJGoobWvsCkpNuCisa46OwPTiieYVPmcdKvgXAlDfZ3DuB0CBcvns4Dr+0dsay5vQ5orJiGt0BjGu19AeoqMi8ajdWluJ0CDBYNiFkba3d35N2ajfa+AJGoYeokLOwDFY0J4Pu9AAAgAElEQVRx0eELTWiNhk2F16WBcCUt9nf6aKwu4Zoz5uILRnhua/Kqpn3xmMbo7ptSt7Mgq9x29AfjpUEyidMhzK6JicVQ0Vg8o4pOXyieep8v2KvBp6to5B+d/UFqJxgEByjzuLSfhpIW+zsHmFVTymnH1jG10svjGw4m3c62ZCtGaPVqU+J2FGSP8La+YFYsDYhlUDkdwowpgy/CjdWlABzq9mflfdPlYFesVlajuqfyj8zFNJy6IlxJi5hoxC5qHzm5kRe2tcYziRLpC8TGysewNErczoJr92qMob0/EG/Vmmk+eMJULjhxGi7n4MujLSL2RTpfsFevJ6YIZxMVjRSxixVmIqZR7tFAuDJ+AuEIzb1+ZtXE7ngvWDSNYCTKhqauYdv2WZZG5RiWRmkBxjR8wQj+UDQjv8VkXHPGPO78zPJh4/lqaezr8DGlzD1iGnGmUdFIkUzUnbIp87rwhSJ5XctGyT8OdfkxBmZZPnfb996c5CJ2JBA+tqVRaD3C2/tiv8VsZE+NRl25B4/TwcHufLM0BuLfhclARSNFOu3V4JlwT3mcGFOY1UWV3LG/M3axsi0Nu86QXXcokf5gmBK3Y5iLZShet6PgAuHt/XZp88lZl2DjcAjTq0s41JVflsb+Dt+woH02UdFIkbilkYFAuBYtVNJhf2fMdz3bukB4XU5qyz3x7JlEev2jl0W3KXU7CYajBWX1xi2NLAXCR6OxuiSvYhqRqGF/50D8OzEZqGikSGd/5txTtstA12ooqdLtC9HU6cPlkEErf6dVlSS3NMbopWET795XQMFw29Kom2RLA2DmlNK8imk09/gJRqKFY2mIyB4R2SgiG0RknTVWKyKrRGS79bcmYfuvi8gOEdkmIhcljC+3jrNDRO4QEbHGvSLyG2v8dRGZN5H5ToQOy9LIzOI+y9LQYLiSAo+/fZCl33qGP6w/SOOUkkEup+lV3qSWRn9g9LLoNuUF2BSsLUcxDYDGKSUc7vHnTeFCO3Nqdm3ppL1nJiyN84wxS40xK6x/3wQ8Z4xZADxn/RsRWQRcBSwGLgZ+KiJ2lO5nwA3AAutxsTV+PdBpjJkP/BC4PQPzTYuWngAimREN+w5Q12ooqfDHtw9iTKzu1Kwpg+8op1eXcLg7MGyf3hRFY6pltbT0Dj9GvtLeF6TC65qUMuBDaawujZXtyJPzFU+3LRRLYwQuA+6znt8HXJ4w/rAxJmCM2Q3sAFaKSCNQZYxZY2Lr8+8fso99rEeB820rZLI52DXA1Eov7jECi6lQ5rHdU4Vzd6fkBn8owivb27hi+SwuXDSNDy2aNuj1aVUltPcHCEUGB7P7U+ilYe8PcDiPXC5j0dEfyFq67VjE12rkSQZVU4cPh8CMKZNnaYz9rRodAzwjIgb4uTHmLmCaMeYQgDHmkIhMtbadCbyWsO9+ayxkPR86bu/TZB0rLCLdQB3QNsF5j5tD3f54nvZE0UC4kiqv7WpnIBThIyc3ct7CqcNen1ZVgjExS2FmwoWjL0VLwy490dxbOKLR3p+91eBjEV+r0eWHOTmZwiD2dfiYMaU0IzezqTLRdzrLGHMq8GHgRhF5/yjbJrMQzCjjo+0z+MAiN4jIOhFZ19qane5aB7sHhpUVSBf7x6zd+5SxeH5rC6VuJ2ccW5f09ekjWAr9gdH7g9vUV3hwSPK1Hrmkxx/iKw+v54mNh4YVCGzry07dqVSYYYlGvmRQ7W33TeoaDZigaBhjDlp/W4D/BVYCzZbLCetvi7X5fmB2wu6zgIPW+Kwk44P2EREXUA0MK2hvjLnLGLPCGLOioaFhIh8pKcYYDnVl0NKw3FNaSkQZixffa+Ws+fUj+u9t99LQDKpUU25dTgf1FV6ae/LDR2/zzKZmHttwkC89+BZfevCtQSnB7X0B6nNkaVSVuqj0umiy0p9zSTRq2N7cy/HTKib1fdMWDREpF5FK+zlwIfAu8DhwrbXZtcBj1vPHgausjKhjiAW811qurF4ROd2KV1wzZB/7WFcAz5sc1CXuHggxEIpkzG9oZ0/51D2ljIIvGGZvu4+ls6tH3MbuoZBoaYStVq+piAbEhCdZBlYuWb2thYZKL1+74HiefPcw9/xlNxC7gevIoXtKRDh+eiVbD/fm5P0TOdA1QH8wwsLpVZP6vhOJaUwD/teKS7uAXxtjnhKRN4BHROR6YB9wJYAxZpOIPAJsBsLAjcYY2z/zReBeoBR40noA3A08ICI7iFkYV01gvmlzwDJFZ2SoiqTH5cDjdGj3PmVUdrX2A3Bsw8h3kjVlbjwuxyBLw17/k0pMA2KisT8P7pxtwpEoL7/XykWLp/P3H5zPxgPdfPepbZy7sIHaci/hqMmZewrghOmVVkabIUd5OQBx4Vo4vXJS3zdt0TDG7AJOSTLeDpw/wj63ArcmGV8HLEky7scSnVxilw1ozGCGQpnXqdlTyqjsaouJxnGjiIaIMK3KO0g0eq0Kt2P10rCZVuXlzb3508Z0fVMXPf4w550wFRHh1suXsPK253hmczOnzokt+zpu6uS6ZBI5obGKB1/fx6Fu/6RmLQ1lq9WvfLJFQ1eEp8Ch7sxaGhCrdKsrwpXR2NnSh8jgFqTJmF5VMmiVsh2faEixZ/T0qhI6fSECebIq/IVtLTgdwlnz6wGYWlXCzCmlbDrYE79QnjjJF8pE7PfeergnZ3MA2Nrcy6ya0pTdkJlCRSMFDnb7cTslowXSyr1OjWkoo7KztY/ZNWVjLmKbV1fOTsuVBUfcqTOnpJZVYwfTW/IgGP7m3g7ueWUPZ82vp7r0SJ23xTOq2HKwhy2Heqkr96QsiNngeEs0thzKbVxj2+FeTpjkeAaoaKTEoa4BpleX4HBkzn9Z5nEVXPZUvpROOFrY1drPsQ3lY263cHolbX0B2vtiF/0DVjXcmTWpuU6m2cH0HAfDD3f7+ez/vMH06hK+d+XJg15bPKOa3e39vLmvkxMaK3MaS6gqcTOrppQth3JnaQTCEXa39XNCDiwuFY0UOJjBdFubmKWRH+6AVHh2czMn3/I0D76+N9dTOSqIRg272vpGjWfY2Heb26zA6IEuH9Wl7nFkT41cYn0yWbOrjV5/mB9fvYyplYNdwYtnVGEM7Gjpy8nd9VBOmF6V0wyqHS19RKJm0uMZoKKREge7BzIazwA7plEYlsaGpi6+/NBbhKKG//uHd3nq3UO5nlLRc6jHjz8UTUk0FsZ97LGLmN1HPFVGWiA42Ww73IfH6Uh6IVw044hQ5OLueignNlayq7UvZ10P39oX69a4ZObI6djZQkVjDPyhCIe7/fFuaZmi3OsqmDIitzy+ibpyL8997QOcOL2K7z69LddTKnp2tvQBpOSeqq/wUFvuOWJpdA4MKikyFtWlw9N2x8NL77Xyi5d2pbVvIu8193JsQ3nSkhiN1SXxXjYnNube0ljUWEXUkDNrY/XWFubUljFvkvqCJ6KiMYT+QJimjiM56+8e6CYcNZwye0pG36fM4yyIMiLNPX42NHXxydPmMLu2jHMXNrCv3afxjQwSjRr+7Q/v8uPntrOnrZ/3mnv50XPbcQjMTyG1VERYOK2Sbc29GGM40DWQcjzD3v+YunLea+5La/4/em4733tm24QbOW073Duiu0VEWDyjOuVzkm3sO/yNB7on/b39oQiv7mzjg1ZK8mQzublaBcAPVr3Hw2v38ZebPsiUMg/rLTNwaYZFo7bcQ9dAiFAkOqnFxsbLs1uaAbjAqq46p7aMcNRwqHsg49bX0corO9p44LVYrOj7q94DYqVmfvDXS1PO2Fs4vZJH1jXR6QvhC0bGZWkAnDq3hj+9c5Bo1Iwr4aOzP8j6fZ1ErdLt6XaQ6/WHONA1wCenjVwF8MoVs5g/tSInJdGHMqumlCllbt7dP/misWZXO/5QlPNOGF7AcjJQ0RjCa7va6Q9GeGRdEze8/zjWN3Uyu7Y04yl+c2rLiEQNBzoHmFc/tgsiV6za3MzcujIWWHd3dt3+fR0+FY0M8eDre6kr9/Drvzs9fgE+Z0H9uC7AJ0yvxBeM8PqudoBxxTQAls+t4aG1+9jR2sfx01KPGby0vRXbwNjV1p+2aGy33HELR3nvy5bO5LKlM0d8fTIREU6aWZ0TS2O1VcTytGNqJ/29Qd1Tg/AFw3Ef5X2v7iUcifLW3i6Wza4ZY8/xc4wlFLvb+8fYMnf0BcK8uqOdC06cFjeD7YtCogtPSZ/mHj/PbmnhihWzWDi9kqtWzom7AseD7ef/zbomIPU1GjbL58a+4+v2dI5rv9VbW+L9YXa3pufeAngvRyUxJsKSmdW819w7qcHwSNSwanPzqEUss42KRgJvN3UTiRr+ZsVsDnQN8N+rd3K4x8+pczLrmgKYWxcTjb1t+SsaL73XSjASHdT4p7G6BJdD4h3DlInx23VNRKKGT66cWHOGk2dVc8qsal7YFmsNMJ6YBsC8ujLqyj28uTd10YhEDS++18rFi6dT6XXFy56kw7bmXso8znG71XLJSTOrCUfNpAbDX93ZxqFuP5cvmzFp7zkUFY0E3toX+8H888ULWT63hh8+G/MvL5uTeUujvsJDucfJnvb8vfiu2tzMlDI3K+Ye+fwup4OZNaXs68iPfgKFztObmjl1zpT4TUS6iAj/evEJAJS6nfFMo/Hsf+rcmnHVoHp7fxedvhDnnTCVYxrK4wUW02Hb4V4WTK3I6ALabHNSDoLhj6zbT3Wpmw+dOG3sjbOEikYC6/d1cmxDOfUVXn51/WlcctJ0ZlSXZCXFT0SYV1/Onjx1T4UiUZ7f2sIHT5iKa0igfk5tGfvydN6FxKHuATYe6OaCRdMzcrwz59dz7sKGtFdML59bw552H219qZUTWb21BYfA+xc0cGx9ObvSdE8Fw1HW7+vKys1ZNplVU8rUSi//9dRWfvTs9mHNojJNty/E05sOc/nSGTlNBlDRsDDG8Na+rngVzVKPk59+ajkv/+sH8biyc5rm1ZWzN08tjTf2dNA9EOLCRcPvaGbXlk26eyoaNdzx3Hb25en5Sodnt8T6k12wKHNZMHd+ejm/uv60tPY92bpz3nwwtfIYq7e1sHxuDdVlbo5tqOBgtz+temrr93UyEIpw5nHJuxPmKyLCfX+7Mu6VGI9rLx2e3nyYYDjKFctnj71xFlHRsDjQNUBHfzAuGjbOLJrLc+vKaOrwEY5Es/Ye6bJqczMel4NzFgzvhDi3toxOX4gef2jS5vPGng5+sOo9bvnjpkl7z2zz7OZm5tWVpbTqO1VK3M6U+2gMxbaoU6mp1NLj590DPZxr9S23FyHuTiOu8Zed7TgEThuhpW0+c2JjFT/8m6WIwMvb27L6Xq/uaKO+wsuSmbld3KiiYTGrpoy3b76Qjy6dvADTvLpywlETr0qaK3r8IX67rim+OMuYWIbG2fPrk16A5mQog2o8d6VPbIyVLnl+awvr92X3ji7TJHNb+IJh1uxs50MJmWm5pqbcw/SqkpRE44X3YgH3D1prBY6tjwnfjpbxu6he3dHGSbOmDKpqW0hMKfNw8sxqXtmRPdEwxvDqznZOP7Y2598XFY0ExlPkLRPY6zNyHQx/5I0m/vnRd3jRuhBsPdzL/s6B+IK+odjpoBNxrf12XRNLv7kqpcBrNGp48t3DvP/4BmrLPfzAWgBXCGw93MNZ33mel6xza7N+XxfBSJSzF9TnaGbJObGxMqWS349tOEBjdUm8DtSxDeU0VHr5yfM7xnUz0B8Is6Gpq+BcU0M5e0E9G5q6smZ972rrp6U3wBl5cJ5UNHKIXTdmIvntmWB9U2zVu70qedXmZkTg/BOT+9rnT63A63Kk7cNt6fHzzT9tJhiO8r2nxxaAdXs7aekNcMXyWXzunGN4eXsbO1py36M5Fb739Hsc7PZzy+ObCIaPuCHX7elEJLYSO59YNKOKna19ozZkemV7G3/Z0c71Zx8Tv+stcTv54V8vZUdrH//x+OaU32/t7g7CUcNZx+WXeI6Xs+c3EIkaXtvZnpXjr7GOe0YeuPBUNHJIQ6WXmVNKWb2tdeyNs8iGfV04HcLqbS00dfhYtbmZpbOnDCtPbVPidrJ8bk38i5wK2w73xvs9fPNPmwmEo1xzxlzW7Grnh6ve4z/+uIkXtrUkrWn1uzf343E5+OAJU7ly+WxcDuHhtU3pfdhJZENTF89uaeacBfXsauvn/jV74q+t29vBwmmVVJXkl0vmxMYqwlHD9hHqUEWjhtuf2srMKaV85oy5g147e0E91515DI+82URLisUPX93ZhsflYMW8/BLP8XLq3CmUup08ZyU3ZJo1u9qZVuWNLwrOJSoaOURE+OjSGbyyoy3lNMdM09ob4EDXANecMRcBvvzQeisNdPQ88DOOrWPL4R46+4NjvkevP8QnfvYqf3vfOt7Y08Gf3jnEFz9wHN+45ESmV5Xwo+e2c/+avXz2f97gU798jVBCYsCmg9389s0mPrlyDhVeFw2VXi5YNI3fvbU/b9qTDsUYwyPrmvjSr96kttzDnZ9ezjkL6vnJ6pjrJhI1rN/XFV+FnU+MFQz/3jPb2Higm3+68Hi8ruFpn1evnI0x8NSmwym93192tLN8Tk1e1JOaCF6Xk4+dOpNH39rPu0PWbby6s42/TCDe4Q9F+MuONs48rj7n8QxQ0cg5ly2dQSRq4oHeyeZtyzV1yUmN3PThE+jsD1LqdvKRkxpH3e+M4+owBl7fPba18YcNB+kLhHm7qYu/vfcNGiq9fP4Dx1LidvKbz5/OH798Npv+4yJuvnQRr+3q4PYntwKxi+8tj2+ipszDP15wfPx4V62cQ6cvxKNv7p/AJ88e9766h3959B0aKr384prllHtdfOX8BXT5Qvx23X62He6lLxDOy7vreXXllLgd/GT1Dq69Zy1dviM3BQ+8tpefvrCTT542h48tS14DasG0ShZMreDP74z9fe7oD7L5UE/BxzNs/vWiE6gp8/D132+M3wT+7s39fPqXr/OFB96keyC9eMef3jlEly/EFctnZXK6aaMFC3PMCdOrWDitksc2HOSaM+ZN+vtvaIq5ppbMqOZ982q54f3HpVTp9ORZMXN8zc52Ll4yssAYY3jwtb0saqxiWpWX1dta+cYlJ1LmiX31EldCX3fWMexp6+eXr+zmrAX1BEIR3tjTyXc+ftKgzJpz5tfzvnk1/Nsf3qXE5eQTefJjglhG2Xef2sYHjm/g3uveF78zXDGvluVza/jFy7vibroVc3NTcG40nA7hqvfN4bVd7bz4Xit/fPsgnzljHjtb+/jWnzZz3sIGvnXZklHveC85qZE7nt9OS69/RBcnHPHTnzm/sOMZNtVlbr552WK+9OBbnH7bc1SWuOj0hTh5VjXv7O/mV6/t5cbz5qd8vP5AGK/LwX2v7mH+1Iq8EVe1NPKAj586kzf3dsbLmEwmG5q6WDitklLPEfdAKqUcbD/005uaRw1Kv7m3k62He/n06XP53pWncNvHTuLKUS7y3/jIiRzXUM4tj2/i+8+8x7EN5cPusBwO4d7rVnLmcfX886NvD3MH5JJ/f+xdHAK3ffykYRfWz7//WPZ3DnDH8zuYXVs67kq0k8UtH13MU199P8dPq+CPbx8iGjXc9Lt3KHU7uf0TJ4+5dumSkxoxBu5+efeoq6T/srONCq+LU2ZNfve5bHHJSY08+7X387lzjuXiJY38x0cX88jnz+DchQ3c/crulDPLthzq4czvPM/ybz/LxgPdXHvG3LxwTYGKRl7w6dPnUl/h4TtPbM16KYJEolHD2/u7WJpmQcavnL+AYCTKR+54hVWbm5Nuc8fzO6gudXPZ0hnUVXj55GlzhpUlScTrcvIfH13C3nYf21v6+NoFxyfdvtzr4r8/dSq15V6+8b8b86Ip1Gu72lm9rZWvfGhB0sJ7Fyyaxg//5hR+cc0KHrvx7Ly5CIzEpSfPYO2eDm5+fBNv7Onk3/5qEVOrxm57fPy0Cj5+6kx+/tIubnl8U9ILZTRqeHFbK6cdUzvq96EQmT+1kps+fAL/+fGTuPbMeZS4nXz5vPl09Ae584WdY+6/r93HNfespdTt5P3HN7Bibg0fPzV/rOni+t8qUGyf99o9Hazelp3si2Tsauun1x9Ou8HUinm1PPXVczhheiX/8NB67l+zh6vveo3P3P06P3hmG0+9e4iX3mvlxvOOG9cq5bMX1PPJ0+Zw5nF1XDKK66u61M2/X7qId/Z38+u1+9L6DJnCGMN3n9rK9KqSEd2MIsLHls3igkXTqC33TO4E0+DSU2ILXR94bS8fWzaTT5yaWi8LEeF7V5zCdWfN4741ezn3v15g7e7B63Fe2dHGga4BLhshNlJsrJhXy8eWzeRnL+6Mt+VNxuFuP5+6O5YM8sD1K/nx1ct49Itnpr3KPxuoaOQJV62cw7y6Mm5/ctuk3TVvsILgyybQlXBqZQm/vPZ91JZ7+PfHNtHU6aPTF+Qnq3fwhV+9RWP1yBfR0bjtYyfx4OdOG9NVdunJjayYW8PPX9yZlXIsq7e20NI7dvro3a/s5q19XfzD+QsKPhPIZl59OWccW8eSmVXc9rHh7rbRcDiEmy9dzKNfOAO308FtT2wZ9PrDb+yjpszNRYtzV611svm3v1pEZYmbL/7qTd7YM3xRa1tfgE/98jU6+0Pcd91KFoyjGdZkoqKRJ7idDv7PRQvZ1tzL/64/MCnv+XZTFxVeF8dOsPZRQ6WXh284nTuuXsbq/3Muf/r7c3jiK+dw6Skz+PblS9K+iKZykRIR/s6KFaSa5pkqd720k+vufYO/vnMNzSOsOzDG8KNnt/PtP2/h4sXT+esV+eNGyAT/c937eOzGswfFvMbDinm1fO6cY9jQ1BWPPbX1BVi1uZlPnDoradpusVJb7uEnn1yGPxThyjvX8LVHNrCztY9D3QO8e6Cba+5ey4GuAe757Ps4JcPtpTOJTKYPfTJYsWKFWbduXa6nkRbRqOHyn/6Fw91+vnnZYi5YND2rBRMv/fErVJa4+PXfnZ6195gMIlHDh37wIpUlLv7wpbMm1JPBH4rw7T9vZldrP6/ubOfs+fWs39fJ9OoSHr7hDN490M2Dr+9j2ZwpnDyrmtVbW7nnL7v5xKmzuP0TJxWdfz4TdA+EOP2257hs6Qz+v4+cyOes9TrP/OMHmD81c8UaCwVfMMxPnt/BL17eRShy5PrrcTr4xbUr+MDxw4uETgYi8qYxZsWY26lo5Bfv7O/iSw++xf7OAa47ax43X7o4K+/jD0VYcvPT3PD+Y/kXq3lPIfPIuib+5dF3+PiymfzjBcfz1r5OHlq7jyUzqvnGJSemLCRf//1GHlobE4UTG6u4+dJFvN3UzbX3rKW+0sOhLj8VJS66fEdy7j975jz+/a8WFVQDocnmXx99h0febKLU7SQYjvL9vz4lb/p954o9bf28vrudqIEppW5ObKyK16PLBamKRv5EVxQgtv7hxX8+j396ZAMPrd3HV85fwJSy1IKm/lCEJzYe4uRZU8a8g9t0sJtw1KQdBM83rlw+i5YeP9975j1+b7n36iu8vLarg75AmH+/dFF8bchQjDG8sK2VF7a18NDafXzhA8dx04ePCOnKY2q5+9oVXHfvG5wyewr3Xvc+AuEoO1v6iBryovJovvPVCxZQU+6hPxDmwydN58wCrzWVCebVl+dUJNJFLY08ZcuhHj78o5e56cMn8IUPHDfm9jta+vjyr99i6+FeRODypTO57WMnJfVFH+wa4O8fWs/6fZ289o3zR12AVWis3trC4R4/xzVUsGJuDd9ftY3/Xr2TyhIXVy6fzWfOmDuofk+XL8jXf7+RJ989jMshXLBoGndcvQx3EjdTa2+AKWXupK8pSqFTVO4pEbkY+BHgBH5pjPnOSNsWi2gAXHXXGpo6Blj1tfePeJcM0Nzj56M/eYVwxPDNy5bw7sFu7nxxJ6fMmsKdn17O9OqS+HZ3vriT37zRhBBbgHY0uAjW7engvjV7eXLjIcJRw/uPj7UnXbu7g62HexAR/uWihfGcekU5Gika0RARJ/AecAGwH3gDuNoYk7T+cjGJxsvbW7n2nrWcML2Kb162mAVTK6kui5XTiEYNIrD5UA9f//1GdrT08bsvnhkvOPfUu4f5ysPrcYhwxfJZVJa4uH/NXvyhCJeeMoOvfmjBoBIeRwMtPX4eWtvEr9fupWcgzLI5U3jfvFouXDyNxTOKZ1WyoqRDMYnGGcAtxpiLrH9/HcAY85/Jti8m0YBYH+Z/+PV6egOxVbV15R5EhLa+AE6HEIkaPC4H//3JU4dVpm3q8HH7U1t5ZnMzwXCUs+fX8+3LlxSkHzWTRKOGqDGa6aQoCRRTIHwmkNg8YT9wWo7mMumct3Aqq//5XDbs62JXWx+72/qJRmFalZdw1DBjSikfOamRmiQrjGfXlvGTT56KMQZfMJJXq0pzicMhONDAtaKkQyFcRZL9ugeZRyJyA3ADwJw5cyZjTpNKfYWXDy2aBqS3elZEVDAURckIhWCf7wdmJ/x7FnAwcQNjzF3GmBXGmBUNDblZGKMoinI0UAii8QawQESOEREPcBXweI7npCiKclSS9z4LY0xYRL4MPE0s5fYeY8ymHE9LURTlqCTvRQPAGPME8ESu56EoinK0UwjuKUVRFCVPUNFQFEVRUkZFQ1EURUkZFQ1FURQlZfK+jMh4EZFeYBtQDXRn8ND1QFsGj5fp+WXyeHru8ut4R9P503OXm+PVA+XGmLEXuhljiuoBrLP+3pWN42bweJmeX8aOp+cu74531Jw/PXe5Od54zlMxu6f+mOsJjEGm55fJ4+m5y6/jZZp8/rx67vLreMMoRvfUOpNCpcZ8Oe7RgJ67iaHnL3303KXGeM5TMVoadxXYcY8G9NxNDD1/6aPnLjVSPk9FZ2koiqIo2aMYLQ1FURQlSxy1oiEis0VktYhsEZFNIlMr5wEAAAR8SURBVPIVa7xWRFaJyHbrb401foGIvCkiG62/H0w41nJrfIeI3CEiRd3hJ8Pn7lYRaRKRvlx9nskmU+dPRMpE5M8istU6zndy+bkmgwx/954Skbet49xptZZWxiKT6V6F9AAagVOt55XE+pAvAr4L3GSN3wTcbj1fBsywni8BDiQcay1wBrGGUU8CH8715yugc3e6dby+XH+uQjt/QBlwnvXcA7ys371xffeqrL8C/A64KtefrxAeOZ9AvjyAx4ALiC0MbLTGGoFtSbYVoB3wWttsTXjtauDnuf48hXDuhowfNaKRjfNnvfYj4O9y/XkK7dwBbmKpqn+T689TCI+j1j2ViIjMI3ZH8jowzRhzCMD6OzXJLp8A1htjAsR6mO9PeG2/NXZUMMFzd9STqfMnIlOAS4HnsjnffCIT505EngZagF7g0SxPuSg46kVDRCqImaZfNcb0pLD9YuB24PP2UJLNjoqUtAycu6OaTJ0/EXEBDwF3GGN2ZWOu+Uamzp0x5iJilokX+GCSXZUhHNWiISJuYl+8B40xv7eGm0Wk0Xq9kdhdiL39LOB/gWuMMTut4f3E+pbbDOthXoxk6NwdtWT4/N0FbDfG/L/szzz3ZPq7Z4zxE2shfVm2514MHLWiYWU43Q1sMcb8IOGlx4FrrefXEvOZ2ub/n4GvG2P+Ym9smcK9InK6dcxr7H2KlUydu6OVTJ4/Efk2sSJ1X832vPOBTJ07EalIEBkXcAmwNfufoAjIdVAlVw/gbGJupHeADdbjEqCOmF94u/W31tr+/wL9CdtuAKZar60A3gV2Aj/BWjRZrI8Mn7vvErPWotbfW3L9+Qrl/BGzag2wJWH8c7n+fAVy7qYBb1jH2QT8GHDl+vMVwkNXhCuKoigpc9S6pxRFUZTxo6KhKIqipIyKhqIoipIyKhqKoihKyqhoKIqiKCmjoqEok4yIfEFErhnH9vNE5N1szklRUsWV6wkoytGEiLiMMXfmeh6Kki4qGooyTqxCeU8RK5S3jFh57muAE4EfABVAG/BZY8whEXkBeBU4C3hcRCqJVfX9nogsBe4kVuZ8J/C3xphOEVkO3AP4gFcm79Mpyuioe0pR0mMhcJcx5mSgB7iR2KriK4wx9gX/1oTtpxhjPmCM+f6Q49wP/Kt1nI3Azdb4/wD/YIw5I5sfQlHGi1oaipIeTeZILaNfAd8g1uRnldW40QkcStj+N0MPICLVxMTkRWvoPuC3ScYfAD6c+Y+gKONHRUNR0mNo/Z1eYNMolkH/OI4tSY6vKHmBuqcUJT3miIgtEFcDrwEN9piIuK0eDiNijOkGOkXkHGvoM8CLxpguoFtEzrbGP5X56StKeqiloSjpsQW4VkR+Tqyy6o+Bp4E7LPeSC/h/xCqojsa1wJ0iUgbsAq6zxq8D7hERn3VcRckLtMqtoowTK3vqT8aYJTmeiqJMOuqeUhRFUVJGLQ1FURQlZdTSUBRFUVJGRUNRFEVJGRUNRVEUJWVUNBRFUZSUUdFQFEVRUkZFQ1EURUmZ/x/3vy21w8xDfwAAAABJRU5ErkJggg==\n", 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\n", + "text/plain": [ + "
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4182691\n", + "1986 5115251\n", + "1990 5235827\n", + "1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2434,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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ExEHA3Zl5bfPQk4FrM3NZRBwMnBURo8AE8JyI2Ckz74mIHwIvpRyL+XngNcAHIuJeYC1wffN6HwU+n5l3zV1VM2vG4jIiDqVs0n0buDjLIYp/DlyXmZdGxPWUMzyfDawBXhQRCzPztoj4OXB3RDwS+CBwQkTsSbl60e2UzUQyczWwes6L3ALrH+z6wT5oR8+tcUfEYyPiO5Qx6bdGxCubSQ8A65u156somziHAffw4KE8APdTNoX2oqxV/7h5rcuA2zLzRihr1T0c2kcAn6Ts4X4W8M5mlgeAayNiQWZeT+mDJ1HG6m6iHJsKZS/4PMr7ewGlH44HDgFWZQ8dj9oqIuY19T+Dsuk6aPUvaOofYwDffygnyA16H7Sl22M1wM7AYS33jwbe39x+CuXbcF/gVZTNo0XNtGMo49mT0y5rHt+RMkyysOU1DwK273at09S/E/BaHtw62A74W+B1zfQ9gB81NRxLGbsbaemrVZQrWh9N2aLYjTKG/9XWmoE/6XatW3j/T6L8c62g7FAamPqbtu0CXEy5uhTA6QNW/07N//AllJNiBq4Ptvavq2vcEXEGcB3w1YgYbh5+DuXYarKccvp94BTKMZj7UI65hjKWfSDlaJDPAL+NiM9Sdjr+DPi/sarMvDoz7+t8RVsnIvYCLgLGgM9Sdqa8mLIlsQkgM39L2Xl6KmUcb08ePJTxW5Tj1e/LzIuAT1DO+PwQZe/5/ZPLyh5cw2iOt72E8k/2MeDZlP0Th1LWrPq6/hYLKOcaPCYiFlI+4/Og/+uPiO0o+6aOAd6TmS9pJh00OU+/98E26fI37RhlM+fjwIrmsTdQxrMm59kPuKG5fRbw9pZpVwIHNbd3oBwKdGi3vw23ov4FwFNa7i+j7Gx5FfD9lscfAdzU3H4d5RTdPZrnfwV4ZMu8C+ei7bPYB7u33P47yj/n8YNSf9PmVwHvAd4CvJpyyvWVA1T/hcDxmz12LHDFoPTBVvdZl9+wyUN0juXBoY7dgTuBHVvmu5LyDbw78EXKptF/UL5Rd+h2Jz6E+mPyr7l/cEs/3E45/nRy3m9Ohjzwj5QjbG4H/r7bdcxCP+xK2Q9xC/D25v7twHA/19/yvp9IGS57MXBu89ht/V5/S21HU06AOYdysMFbKUOgdwB7DkIfbO1fV4dKMvOPzc3/BHaJiAMy807KuPbJLbNeBezSTDuFMhzy78DyLHuaq5SNlodOo6x9QBmfOx0gyu+n/BKYPGTxbZQtk0WZ+a45am7HZObvKENiT6XsVH4pZbjr5Cj6sv6W9/4oylDRJcDeEfFmyg735TAQ7/9FlKO9bqccnvdE4K8on4HX9vNnYFv1zFXeI+LDlPHqNzZHVfwNJcD3oJxYc1RL0PediNibMj53SmZeG+VHsZZTPsSLgB9kL57BNcsi4kDKl/b3KOOY+1MO4erL+iNiiDJMsgOl3r+gnDByBmVN/HH0cf2TJg/nbW4fQPnsX045Jb2vPwPbopeC+0DKUSLPpHyA76Gcfn4v8NHMvKaLzeu4KL+P8gzgTZQxzxspm4bHAj/Ncghk34uIfShfYC/LzNsj4gTgmsy8ustN64goF/P4V8pOtPMoh7GdkZnPbqb3df1TifLLfB8Hjs3MOwaxD2bSS8F9HOWQuHuAd1D2MPfPXuAZRMTlwKMpv0J2E/C2zPxRVxs1RyJiN8oX9sspO6NXAR/KzPu3+MQ+1Jww8mJgPDNv7nZ75kpE7ED5rfzJoZKPAB/O8vPL2kxPBHdEPIly+vn5lJ0zVf2U6kPVHBJ1JmWc73M1j9tvi4iYTxke+QOl/oF6/6GcfAQ8kL3wD9klEXEy5TDQzw7iZ2Br9ERwS5La13OnvEuStszglqTKGNySVBmDW5IqY3BLUmUMbkmqjMEtSZX5XwHKcVej17E2AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
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