From 1e19d2534e1dfc393de872d62ee99d4b9dd8fb72 Mon Sep 17 00:00:00 2001 From: Supermjork Date: Fri, 31 Mar 2023 11:58:42 +0200 Subject: [PATCH 1/8] VISUALISAITIASIOON --- datasets/crime/report.csv | 53 +++++++++++++++++++-------------------- py_scripts/engineer.py | 22 +++++++++++----- 2 files changed, 42 insertions(+), 33 deletions(-) diff --git a/datasets/crime/report.csv b/datasets/crime/report.csv index 305e640..db29900 100644 --- a/datasets/crime/report.csv +++ b/datasets/crime/report.csv @@ -40,13 +40,13 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1975,TN01901,"Nashville, TN",449600,3158,93,110,952,2003,12,702.4,20.69,24.47,211.74,445.51 1975,NY02900,"Nassau County, NY",1100426,993,18,33,256,686,12,90.24,1.64,3,23.26,62.34 1975,LANPD00,"New Orleans, LA",571934,5993,158,237,2002,3596,12,1047.85,27.63,41.44,350.04,628.74 -1975,NY03030,"New York City, NY",7422506,132182,1645,3866,43481,83190,12,1780.83,22.16,52.08,585.8,1120.78 +1975,NY03030,"New York City, NY",7422506,1321,1645,3866,43481,83190,12,1780.83,22.16,52.08,585.8,1120.78 1975,NJNPD00,"Newark, NJ",372663,7136,122,297,2444,4273,12,1914.87,32.74,79.7,655.82,1146.61 1975,CA00109,"Oakland, CA",337748,5900,111,316,2288,3185,12,1746.86,32.86,93.56,677.43,943.01 1975,OK05506,"Oklahoma City, OK",384081,2666,61,249,1364,992,12,694.12,15.88,64.83,355.13,258.28 1975,NB02802,"Omaha, NE",391389,2540,36,178,1115,1211,12,648.97,9.2,45.48,284.88,309.41 1975,FL04804,"Orlando, FL",118457,1116,21,86,705,304,12,942.11,17.73,72.6,595.15,256.63 -1975,PAPEP00,"Philadelphia, PA",1883253,16332,435,716,4776,10405,12,867.22,23.1,38.02,253.6,552.5 +1975,PAPEP00,"Philadelphia, PA",1883253,1632,435,716,4776,10405,12,867.22,23.1,38.02,253.6,552.5 1975,AZ00723,"Phoenix, AZ",668046,4649,75,311,2325,1938,12,695.91,11.23,46.55,348.03,290.1 1975,PAPPD00,"Pittsburgh, PA",479083,4967,63,237,1923,2744,12,1036.77,13.15,49.47,401.39,572.76 1975,OR02602,"Portland, OR",373126,4076,48,287,1898,1843,12,1092.39,12.86,76.92,508.68,493.94 @@ -67,7 +67,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1975,VA12800,"Virginia Beach, VA",217192,452,22,38,198,194,12,208.11,10.13,17.5,91.16,89.32 1975,DCMPD00,"Washington, DC",716000,12704,235,520,2812,9137,12,1774.3,32.82,72.63,392.74,1276.12 1975,KS08703,"Wichita, KS",259240,1137,36,53,408,640,12,438.59,13.89,20.44,157.38,246.88 -1975,,United States,,1039710,20510,,,,,487.8,9.6,,, +,,,,,,,,,,,,,, 1976,NM00101,"Albuquerque, NM",292265,2420,28,186,1335,871,12,828.02,9.58,63.64,456.78,298.02 1976,TX22001,"Arlington, TX",107470,274,5,30,140,99,12,254.95,4.65,27.91,130.27,92.12 1976,GAAPD00,"Atlanta, GA",457300,7529,154,477,3518,3380,12,1646.4,33.68,104.31,769.3,739.12 @@ -98,7 +98,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1976,CA01941,"Long Beach, CA",340900,2950,69,200,978,1703,12,865.36,20.24,58.67,286.89,499.56 1976,CA01900,"Los Angeles County, CA",1027865,10104,155,564,6662,2723,12,983.01,15.08,54.87,648.14,264.92 1976,CA01942,"Los Angeles, CA",2739100,31960,501,2047,15187,14225,12,1166.81,18.29,74.73,554.45,519.33 -1976,KY05680,"Louisville, KY",,,,,,,,,,,, +,,,,,,,,,,,,,, 1976,TNMPD00,"Memphis, TN",649819,4780,113,472,1766,2429,12,735.59,17.39,72.64,271.77,373.8 1976,AZ00717,"Mesa, AZ",100763,311,5,15,202,89,12,308.65,4.96,14.89,200.47,88.33 1976,FL01300,"Miami-Dade County, FL",649499,6787,70,216,4562,1939,12,1044.96,10.78,33.26,702.39,298.54 @@ -136,7 +136,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1976,VA12800,"Virginia Beach, VA",216176,481,12,59,253,157,12,222.5,5.55,27.29,117.03,72.63 1976,DCMPD00,"Washington, DC",702000,10399,188,508,2659,7044,12,1481.34,26.78,72.36,378.77,1003.42 1976,KS08703,"Wichita, KS",256455,1114,19,111,470,514,12,434.38,7.41,43.28,183.27,200.43 -1976,,United States,,1004210,18780,,,,,467.8,8.7,,, +,,,,,,,,,,,,,, 1977,NM00101,"Albuquerque, NM",292341,2390,31,207,1398,754,12,817.54,10.6,70.81,478.21,257.92 1977,TX22001,"Arlington, TX",112994,389,4,34,266,85,12,344.27,3.54,30.09,235.41,75.23 1977,GAAPD00,"Atlanta, GA",440300,7595,138,510,3593,3354,12,1724.96,31.34,115.83,816.03,761.75 @@ -167,7 +167,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1977,CA01941,"Long Beach, CA",346662,3391,75,226,1094,1996,12,978.19,21.63,65.19,315.58,575.78 1977,CA01900,"Los Angeles County, CA",1040180,10589,173,631,6822,2963,12,1018,16.63,60.66,655.85,284.85 1977,CA01942,"Los Angeles, CA",2785393,33676,576,2339,15515,15246,12,1209.02,20.68,83.97,557.01,547.36 -1977,KY05680,"Louisville, KY",,,,,,,,,,,, +,,,,,,,,,,,,,, 1977,TNMPD00,"Memphis, TN",667150,5231,105,581,1796,2749,12,784.08,15.74,87.09,269.2,412.05 1977,AZ00717,"Mesa, AZ",116400,385,4,34,264,83,12,330.76,3.44,29.21,226.8,71.31 1977,FL01300,"Miami-Dade County, FL",657954,7204,90,277,4676,2161,12,1094.91,13.68,42.1,710.69,328.44 @@ -205,7 +205,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1977,VA12800,"Virginia Beach, VA",235324,463,16,80,215,152,12,196.75,6.8,34,91.36,64.59 1977,DCMPD00,"Washington, DC",690000,9843,192,402,2594,6655,12,1426.52,27.83,58.26,375.94,964.49 1977,KS08703,"Wichita, KS",261732,1397,34,121,527,715,12,533.75,12.99,46.23,201.35,273.18 -1977,,United States,,1029580,19120,,,,,475.9,8.8,,, +,,,,,,,,,,,,,, 1978,NM00101,"Albuquerque, NM",291834,2434,37,187,1516,694,12,834.04,12.68,64.08,519.47,237.81 1978,TX22001,"Arlington, TX",121750,450,6,43,269,132,12,369.61,4.93,35.32,220.94,108.42 1978,GAAPD00,"Atlanta, GA",456000,8845,144,592,3990,4119,12,1939.69,31.58,129.82,875,903.29 @@ -412,7 +412,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1980,VA12800,"Virginia Beach, VA",260680,530,11,105,204,210,12,203.31,4.22,40.28,78.26,80.56 1980,DCMPD00,"Washington, DC",635233,12772,200,439,3236,8897,12,2010.6,31.48,69.11,509.42,1400.59 1980,KS08703,"Wichita, KS",279352,1823,32,202,763,826,12,652.58,11.46,72.31,273.13,295.68 -1980,,United States,,1344520,23040,,,,,596.6,10.2,,, +,,,,,,,,,,,,,, 1981,NM00101,"Albuquerque, NM",336840,2985,45,213,1620,1107,12,886.18,13.36,63.23,480.94,328.64 1981,TX22001,"Arlington, TX",167848,699,12,102,373,212,12,416.45,7.15,60.77,222.22,126.3 1981,GAAPD00,"Atlanta, GA",435626,10608,181,644,5246,4537,12,2435.12,41.55,147.83,1204.24,1041.49 @@ -481,7 +481,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1981,VA12800,"Virginia Beach, VA",265704,606,12,93,266,235,12,228.07,4.52,35,100.11,88.44 1981,DCMPD00,"Washington, DC",636000,14468,223,414,3432,10399,12,2274.84,35.06,65.09,539.62,1635.06 1981,KS08703,"Wichita, KS",282465,1729,43,202,668,816,12,612.11,15.22,71.51,236.49,288.89 -1981,,United States,,1361820,22520,,,,,593.5,9.8,,, +,,,,,,,,,,,,,, 1982,NM00101,"Albuquerque, NM",344962,2659,26,199,1508,926,12,770.81,7.54,57.69,437.15,268.44 1982,TX22001,"Arlington, TX",173821,607,7,67,342,191,12,349.21,4.03,38.55,196.75,109.88 1982,GAAPD00,"Atlanta, GA",441103,10486,152,613,5722,3999,12,2377.22,34.46,138.97,1297.2,906.59 @@ -550,7 +550,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1982,VA12800,"Virginia Beach, VA",268887,646,15,97,276,258,12,240.25,5.58,36.07,102.65,95.95 1982,DCMPD00,"Washington, DC",631000,13397,194,421,3645,9137,12,2123.14,30.74,66.72,577.65,1448.02 1982,KS08703,"Wichita, KS",285665,1695,31,197,790,677,12,593.35,10.85,68.96,276.55,236.99 -1982,,United States,,1322390,21010,,,,,570.8,9.1,,, +,,,,,,,,,,,,,, 1983,NM00101,"Albuquerque, NM",355163,2954,24,206,1815,909,12,831.73,6.76,58,511.03,255.94 1983,TX22001,"Arlington, TX",178871,585,7,75,317,186,12,327.05,3.91,41.93,177.22,103.99 1983,GAAPD00,"Atlanta, GA",448635,9326,141,619,5014,3552,12,2078.75,31.43,137.97,1117.61,791.73 @@ -619,7 +619,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 1983,VA12800,"Virginia Beach, VA",271775,587,11,73,251,252,12,215.99,4.05,26.86,92.36,92.72 1983,DCMPD00,"Washington, DC",623000,11933,183,406,3646,7698,12,1915.41,29.37,65.17,585.23,1235.63 1983,KS08703,"Wichita, KS",287807,1385,26,161,664,534,12,481.23,9.03,55.94,230.71,185.54 -1983,,United States,,1258087,19308,,,,,538.1,8.3,,, +,,,,,,,,,,,,,, 1984,NM00101,"Albuquerque, NM",356366,3615,28,210,2162,1215,12,1014.41,7.86,58.93,606.68,340.94 1984,TX22001,"Arlington, TX",191475,765,13,93,459,200,12,399.53,6.79,48.57,239.72,104.45 1984,GAAPD00,"Atlanta, GA",442951,10525,135,632,5729,4029,12,2376.11,30.48,142.68,1293.37,909.58 @@ -1792,7 +1792,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2000,VA12800,"Virginia Beach, VA",425257,943,11,101,380,451,12,221.75,2.59,23.75,89.36,106.05 2000,DCMPD00,"Washington, DC",572059,8622,239,251,4579,3553,12,1507.19,41.78,43.88,800.44,621.09 2000,KS08703,"Wichita, KS",344284,2081,31,176,1279,595,12,604.44,9,51.12,371.5,172.82 -2000,,United States,,1425486,15586,,,,,506.5,5.5,,, +,,,,,,,,,,,,,, 2001,NM00101,"Albuquerque, NM",451098,5259,34,219,3396,1610,12,1165.82,7.54,48.55,752.83,356.91 2001,TX22001,"Arlington, TX",340525,2129,15,145,1282,687,12,625.21,4.4,42.58,376.48,201.75 2001,GAAPD00,"Atlanta, GA",426511,10807,143,367,5956,4341,12,2533.82,33.53,86.05,1396.45,1017.79 @@ -1861,7 +1861,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2001,VA12800,"Virginia Beach, VA",431819,838,12,111,349,366,12,194.06,2.78,25.71,80.82,84.76 2001,DCMPD00,"Washington, DC",571822,9192,231,181,5003,3777,12,1607.49,40.4,31.65,874.92,660.52 2001,KS08703,"Wichita, KS",345081,2443,17,183,1501,742,12,707.95,4.93,53.03,434.97,215.02 -2001,,United States,,1439480,16037,,,,,504.5,5.6,,, +,,,,,,,,,,,,,, 2002,NM00101,"Albuquerque, NM",457488,4889,51,293,3250,1295,12,1068.66,11.15,64.05,710.4,283.07 2002,TX22001,"Arlington, TX",347789,2202,14,152,1242,794,12,633.14,4.03,43.7,357.11,228.3 2002,GAAPD00,"Atlanta, GA",435494,9969,152,276,5373,4168,12,2289.12,34.9,63.38,1233.77,957.07 @@ -1930,7 +1930,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2002,VA12800,"Virginia Beach, VA",438175,960,3,138,376,443,12,219.09,0.68,31.49,85.81,101.1 2002,DCMPD00,"Washington, DC",570898,9109,262,262,4854,3731,12,1595.56,45.89,45.89,850.24,653.53 2002,KS08703,"Wichita, KS",347801,2368,20,208,1344,796,12,680.85,5.75,59.8,386.43,228.87 -2002,,United States,,1423677,16229,,,,,494.4,5.6,,, +,,,,,,,,,,,,,, 2003,NM00101,"Albuquerque, NM",468764,4439,51,263,3045,1080,12,946.96,10.88,56.1,649.58,230.39 2003,TX22001,"Arlington, TX",355385,1863,9,167,1089,598,12,524.22,2.53,46.99,306.43,168.27 2003,GAAPD00,"Atlanta, GA",431043,8490,148,281,4360,3701,12,1969.64,34.34,65.19,1011.5,858.62 @@ -1999,7 +1999,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2003,VA12800,"Virginia Beach, VA",439454,932,24,121,378,409,12,212.08,5.46,27.53,86.02,93.07 2003,DCMPD00,"Washington, DC",563384,8839,248,273,4482,3836,12,1568.91,44.02,48.46,795.55,680.89 2003,KS08703,"Wichita, KS",356123,2229,18,220,1435,556,12,625.91,5.05,61.78,402.95,156.13 -2003,,United States,,1383676,16528,,,,,475.8,5.7,,, +,,,,,,,,,,,,,, 2004,NM00101,"Albuquerque, NM",479074,4720,41,235,3206,1238,12,985.23,8.56,49.05,669.21,258.42 2004,TX22001,"Arlington, TX",360970,1893,14,200,1017,662,12,524.42,3.88,55.41,281.74,183.39 2004,GAAPD00,"Atlanta, GA",430066,7921,111,267,4427,3116,12,1841.81,25.81,62.08,1029.38,724.54 @@ -2068,7 +2068,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2004,VA12800,"Virginia Beach, VA",443840,1006,15,141,372,478,12,226.66,3.38,31.77,83.81,107.7 2004,DCMPD00,"Washington, DC",553523,7336,198,218,3863,3057,12,1325.33,35.77,39.38,697.89,552.28 2004,KS08703,"Wichita, KS",356179,2887,29,241,1990,627,12,810.55,8.14,67.66,558.71,176.04 -2004,,United States,,1360088,16148,,,,,463.2,5.5,,, +,,,,,,,,,,,,,, 2005,NM00101,"Albuquerque, NM",490631,4670,53,285,3182,1150,12,951.84,10.8,58.09,648.55,234.39 2005,TX22001,"Arlington, TX",365380,2369,24,178,1399,768,12,648.37,6.57,48.72,382.89,210.19 2005,GAAPD00,"Atlanta, GA",430666,7213,90,223,4039,2861,12,1674.85,20.9,51.78,937.85,664.32 @@ -2137,7 +2137,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2005,VA12800,"Virginia Beach, VA",446448,1139,19,100,399,621,12,255.12,4.26,22.4,89.37,139.1 2005,DCMPD00,"Washington, DC",550521,7716,195,165,3854,3502,12,1401.58,35.42,29.97,700.06,636.12 2005,KS08703,"Wichita, KS",355011,2644,12,186,1950,496,12,744.77,3.38,52.39,549.28,139.71 -2005,,United States,,1390745,16740,,,,,469,5.6,,, +,,,,,,,,,,,,,, 2006,NM00101,"Albuquerque, NM",500955,4550,34,286,3059,1171,12,908.27,6.79,57.09,610.63,233.75 2006,TX22001,"Arlington, TX",373086,2728,14,192,1632,890,12,731.2,3.75,51.46,437.43,238.55 2006,GAAPD00,"Atlanta, GA",485804,7548,110,171,4308,2959,12,1553.71,22.64,35.2,886.78,609.09 @@ -2206,7 +2206,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2006,VA12800,"Virginia Beach, VA",442784,1255,19,116,444,676,12,283.43,4.29,26.2,100.27,152.67 2006,DCMPD00,"Washington, DC",581530,8408,169,182,4453,3604,12,1445.84,29.06,31.3,765.74,619.74 2006,KS08703,"Wichita, KS",357372,3325,26,245,2534,520,12,930.4,7.28,68.56,709.07,145.51 -2006,,United States,,1435123,17309,,,,,479.3,5.8,,, +,,,,,,,,,,,,,, 2007,NM00101,"Albuquerque, NM",513124,5080,47,307,3287,1439,12,990.01,9.16,59.83,640.59,280.44 2007,TX22001,"Arlington, TX",372073,2588,13,156,1677,742,12,695.56,3.49,41.93,450.72,199.42 2007,GAAPD00,"Atlanta, GA",497290,8075,129,148,4221,3577,12,1623.8,25.94,29.76,848.8,719.3 @@ -2275,7 +2275,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2007,VA12800,"Virginia Beach, VA",435943,1084,16,85,431,552,12,248.66,3.67,19.5,98.87,126.62 2007,DCMPD00,"Washington, DC",588292,7924,181,192,3566,3985,12,1346.95,30.77,32.64,606.16,677.38 2007,KS08703,"Wichita, KS",358294,3391,40,278,2516,557,12,946.43,11.16,77.59,702.22,155.46 -2007,,United States,,1422970,17128,,,,,471.8,5.7,,, +,,,,,,,,,,,,,, 2008,NM00101,"Albuquerque, NM",527464,4718,38,370,2960,1350,12,894.47,7.2,70.15,561.18,255.94 2008,TX22001,"Arlington, TX",375836,2262,23,141,1404,694,12,601.86,6.12,37.52,373.57,184.66 2008,GAAPD00,"Atlanta, GA",533016,7403,105,126,3864,3308,12,1388.89,19.7,23.64,724.93,620.62 @@ -2344,7 +2344,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2008,VA12800,"Virginia Beach, VA",434163,1040,14,73,424,529,12,239.54,3.22,16.81,97.66,121.84 2008,DCMPD00,"Washington, DC",591833,8135,186,186,3609,4154,12,1374.54,31.43,31.43,609.8,701.89 2008,KS08703,"Wichita, KS",362602,3097,30,282,2303,482,12,854.1,8.27,77.77,635.13,132.93 -2008,,United States,,1394461,16465,,,,,458.6,5.4,,, +,,,,,,,,,,,,,, 2009,NM00101,"Albuquerque, NM",530636,4082,56,326,2597,1103,12,769.27,10.55,61.44,489.41,207.86 2009,TX22001,"Arlington, TX",379104,2330,12,152,1494,672,12,614.61,3.17,40.09,394.09,177.26 2009,GAAPD00,"Atlanta, GA",552901,6359,80,135,3419,2725,12,1150.12,14.47,24.42,618.37,492.85 @@ -2413,7 +2413,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2009,VA12800,"Virginia Beach, VA",436175,896,19,66,363,448,12,205.42,4.36,15.13,83.22,102.71 2009,DCMPD00,"Washington, DC",599657,7587,144,150,3295,3998,12,1265.22,24.01,25.01,549.48,666.71 2009,KS08703,"Wichita, KS",367635,3255,25,262,2441,527,12,885.39,6.8,71.27,663.97,143.35 -2009,,United States,,1325896,15399,,,,,431.9,5,,, +,,,,,,,,,,,,,, 2010,NM00101,"Albuquerque, NM",545852,4291,42,338,2971,940,12,786.11,7.69,61.92,544.29,172.21 2010,TX22001,"Arlington, TX",365438,1925,16,119,1258,532,12,526.77,4.38,32.56,344.24,145.58 2010,GAAPD00,"Atlanta, GA",420003,5749,93,89,3405,2162,12,1368.8,22.14,21.19,810.71,514.76 @@ -2482,7 +2482,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2010,VA12800,"Virginia Beach, VA",437994,831,14,53,335,429,12,189.73,3.2,12.1,76.49,97.95 2010,DCMPD00,"Washington, DC",601723,7468,132,184,3238,3914,12,1241.1,21.94,30.58,538.12,650.47 2010,KS08703,"Wichita, KS",382368,3038,16,251,2290,481,12,794.52,4.18,65.64,598.9,125.8 -2010,,United States,,1251248,14722,,,,,404.5,4.8,,, +,,,,,,,,,,,,,, 2011,NM00101,"Albuquerque, NM",551961,4210,38,264,2910,998,12,762.74,6.88,47.83,527.21,180.81 2011,TX22001,"Arlington, TX",373128,1874,22,136,1176,540,12,502.24,5.9,36.45,315.17,144.72 2011,GAAPD00,"Atlanta, GA",425533,6097,88,148,3518,2343,12,1432.79,20.68,34.78,826.73,550.6 @@ -2551,7 +2551,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2011,VA12800,"Virginia Beach, VA",443226,784,15,65,290,414,12,176.88,3.38,14.67,65.43,93.41 2011,DCMPD00,"Washington, DC",617996,6985,108,172,2949,3756,12,1130.27,17.48,27.83,477.19,607.77 2011,KS08703,"Wichita, KS",384796,2963,25,245,2203,490,12,770.02,6.5,63.67,572.51,127.34 -2011,,United States,,1206031,14661,,,,,387.1,4.7,,, +,,,,,,,,,,,,,, 2012,NM00101,"Albuquerque, NM",553684,4151,41,278,2740,1092,12,749.71,7.4,50.21,494.87,197.22 2012,TX22001,"Arlington, TX",379295,1909,17,135,1225,532,12,503.3,4.48,35.59,322.97,140.26 2012,GAAPD00,"Atlanta, GA",437041,6027,83,113,3555,2276,12,1379.05,18.99,25.86,813.42,520.77 @@ -2620,7 +2620,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2012,VA12800,"Virginia Beach, VA",447588,751,21,57,346,327,12,167.79,4.69,12.73,77.3,73.06 2012,DCMPD00,"Washington, DC",632323,7448,88,236,3399,3725,12,1177.88,13.92,37.32,537.54,589.1 2012,KS08703,"Wichita, KS",386409,2896,23,242,2135,496,12,749.46,5.95,62.63,552.52,128.36 -2012,,United States,,1214464,14827,,,,,386.9,4.7,,, +,,,,,,,,,,,,,, 2013,NM00101,"Albuquerque, NM",558165,4325,37,439,2803,1046,12,774.86,6.63,78.65,502.18,187.4 2013,TX22001,"Arlington, TX",378765,1837,18,105,1152,562,12,485,4.75,27.72,304.15,148.38 2013,GAAPD00,"Atlanta, GA",451020,5516,83,105,2965,2363,12,1223.01,18.4,23.28,657.4,523.92 @@ -2689,7 +2689,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2013,VA12800,"Virginia Beach, VA",450687,738,17,147,269,305,12,163.75,3.77,32.62,59.69,67.67 2013,DCMPD00,"Washington, DC",646449,7880,103,393,3724,3660,12,1218.97,15.93,60.79,576.07,566.17 2013,KS08703,"Wichita, KS",386486,3069,15,250,2337,467,12,794.08,3.88,64.69,604.68,120.83 -2013,,United States,,1168298,14319,,,,,369.1,4.5,,, +,,,,,,,,,,,,,, 2014,NM00101,"Albuquerque, NM",558874,4934,30,402,3121,1381,12,882.85,5.37,71.93,558.44,247.1 2014,TX22001,"Arlington, TX",382976,1854,13,206,1142,493,12,484.1,3.39,53.79,298.19,128.73 2014,GAAPD00,"Atlanta, GA",454363,5577,93,151,3004,2329,12,1227.43,20.47,33.23,661.15,512.59 @@ -2758,7 +2758,7 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2014,VA12800,"Virginia Beach, VA",451102,667,17,115,285,250,12,147.86,3.77,25.49,63.18,55.42 2014,DCMPD00,"Washington, DC",658893,7810,105,470,4004,3231,12,1185.32,15.94,71.33,607.69,490.37 2014,KS08703,"Wichita, KS",387493,2939,21,243,2179,496,12,758.47,5.42,62.71,562.33,128 -2014,,United States,,1153022,14164,,,,,361.6,4.4,,, +,,,,,,,,,,,,,, 2015,NM00101,"Albuquerque, NM",559721,5406,43,404,3273,1686,,965.84,7.68,72.18,584.76,301.22 2015,TX22001,"Arlington, TX",387565,1946,8,208,1201,529,,502.11,2.06,53.67,309.88,136.49 2015,GAAPD00,"Atlanta, GA",464710,5203,94,170,2944,1995,,1119.62,20.23,36.58,633.51,429.3 @@ -2827,4 +2827,3 @@ report_year,agency_code,agency_jurisdiction,population,violent_crimes,homicides, 2015,VA12800,"Virginia Beach, VA",452797,626,19,103,234,270,,138.25,4.2,22.75,51.68,59.63 2015,DCMPD00,"Washington, DC",672228,8084,162,494,4024,3404,,1202.57,24.1,73.49,598.61,506.38 2015,KS08703,"Wichita, KS",389824,3839,27,349,2730,733,,984.8,6.93,89.53,700.32,188.03 -2015,,United States,,1197704,15696,,,,,372.6,4.9,,, diff --git a/py_scripts/engineer.py b/py_scripts/engineer.py index c9fca5b..b0591a7 100644 --- a/py_scripts/engineer.py +++ b/py_scripts/engineer.py @@ -1,6 +1,7 @@ # Visualisations for Data import matplotlib.pyplot as plt import seaborn as sns +import pandas as pd import mining_hq from numpy import count_nonzero @@ -20,19 +21,28 @@ games_fig_pre = sns.histplot(data = games_pre, x = "Year", palette = sns.color_p plt.show() plt.xticks(rotation = 90) -games_fig2_pre = sns.histplot(data = games_pre, x = "Year", hue = "Genre", multiple = "stack", shrink = 0.65) +games_fig2_pre = sns.histplot(data = games_pre, x = "Year", hue = "Genre", multiple = "stack", kde = True) plt.show() plt.xticks(rotation = 90) -games_fig_dur = sns.barplot(data = games_dur, x = "Year", y = "NA_Sales") -plt.xlabel("Years") -plt.ylabel("Sales in North America (Canada, USA)") +games_fig_dur = sns.histplot(data = games_dur, x = "Year", kde = True) plt.show() plt.xticks(rotation = 90) -games_fig_pos = sns.barplot(data = games_pos, x = "Year", y = "NA_Sales") +games_fig_pos = sns.histplot(data = games_pos, x = "Year") plt.show() plt.xticks(rotation = 90) -crime_CA_fig = sns.barplot(data = crime_CA, x = "year", y = "incidents", estimator=count_nonzero) +crime_CA_fig = sns.histplot(data = crime_CA, x = "year") +plt.show() + +plt.xticks(rotation = 90) +crime_US_fig = sns.histplot(data = crime_US, x = "report_year") +plt.show() + +games_dur['Violent_US'] = crime_US['violent_crimes'] +games_dur['NA_Sales'] = games_dur['NA_Sales'].multiply(1000) + +plt.xticks(rotation = 90) +games_violence_US = sns.relplot(data = games_dur, x = 'NA_Sales', y = 'Violent_US') plt.show() From f49277bb06ce4af57306a8404167a3d917b46149 Mon Sep 17 00:00:00 2001 From: Supermjork Date: Fri, 31 Mar 2023 12:18:24 +0200 Subject: [PATCH 2/8] Idk chief --- py_scripts/engineer.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/py_scripts/engineer.py b/py_scripts/engineer.py index b0591a7..e528841 100644 --- a/py_scripts/engineer.py +++ b/py_scripts/engineer.py @@ -28,6 +28,14 @@ plt.xticks(rotation = 90) games_fig_dur = sns.histplot(data = games_dur, x = "Year", kde = True) plt.show() +plt.xticks(rotation = 90) +games_fig2_dur = sns.histplot(data = games_dur, x = "Year", hue = "Genre", multiple = "stack", kde = True) +plt.show() + +plt.xticks(rotation = 90) +games_fig3_dur = sns.jointplot(data = games_dur, x = "Year") +plt.show() + plt.xticks(rotation = 90) games_fig_pos = sns.histplot(data = games_pos, x = "Year") plt.show() @@ -46,3 +54,7 @@ games_dur['NA_Sales'] = games_dur['NA_Sales'].multiply(1000) plt.xticks(rotation = 90) games_violence_US = sns.relplot(data = games_dur, x = 'NA_Sales', y = 'Violent_US') plt.show() + +plt.xticks(rotation = 90) +games_crime_dur = sns.jointplot(data = games_dur, x = "Year", y = 'Violent_US') +plt.show() \ No newline at end of file From 7ccdd5eb9a99566bad751bd6e31ed54ba41ec438 Mon Sep 17 00:00:00 2001 From: LinlyBoi Date: Fri, 31 Mar 2023 13:13:55 +0200 Subject: [PATCH 3/8] new folder who dis --- {py_scripts => dwarves}/digger.py | 13 +++++++++---- {py_scripts => dwarves}/engineer.py | 0 {py_scripts => dwarves}/gunner.py | 0 {py_scripts => dwarves}/mining_hq.py | 0 {py_scripts => dwarves}/scout.py | 0 5 files changed, 9 insertions(+), 4 deletions(-) rename {py_scripts => dwarves}/digger.py (82%) rename {py_scripts => dwarves}/engineer.py (100%) rename {py_scripts => dwarves}/gunner.py (100%) rename {py_scripts => dwarves}/mining_hq.py (100%) rename {py_scripts => dwarves}/scout.py (100%) diff --git a/py_scripts/digger.py b/dwarves/digger.py similarity index 82% rename from py_scripts/digger.py rename to dwarves/digger.py index 17b46fe..55d8fbe 100644 --- a/py_scripts/digger.py +++ b/dwarves/digger.py @@ -1,7 +1,7 @@ # Getting and combining data import pandas as pd import numpy as np -import scout +from dwarves import scout from numpy import ndarray from scipy.stats import binned_statistic @@ -40,13 +40,18 @@ def slam_dunk(dataset, column, labels): x_data = np.arange(0, len(dataset)) y_data = dataset[column] - x_bins, bin_edges, misc = binned_statistic(y_data, x_data, statistic='median', bins=len(labels)) + x_bins, bin_edges, misc = binned_statistic( + y_data, x_data, statistic="median", bins=len(labels) + ) bin_intervals = pd.IntervalIndex.from_arrays(bin_edges[:-1], bin_edges[1:]) - dataset['bin_value'] = dataset[column].apply(lambda x: set_to_median(x, bin_intervals)) + dataset["bin_value"] = dataset[column].apply( + lambda x: set_to_median(x, bin_intervals) + ) return dataset + def set_to_median(x, bin_intervals): for interval in bin_intervals: if x in interval: - return interval.mid \ No newline at end of file + return interval.mid diff --git a/py_scripts/engineer.py b/dwarves/engineer.py similarity index 100% rename from py_scripts/engineer.py rename to dwarves/engineer.py diff --git a/py_scripts/gunner.py b/dwarves/gunner.py similarity index 100% rename from py_scripts/gunner.py rename to dwarves/gunner.py diff --git a/py_scripts/mining_hq.py b/dwarves/mining_hq.py similarity index 100% rename from py_scripts/mining_hq.py rename to dwarves/mining_hq.py diff --git a/py_scripts/scout.py b/dwarves/scout.py similarity index 100% rename from py_scripts/scout.py rename to dwarves/scout.py From a99333dda62a76263252f5f62005aa35e2b19b74 Mon Sep 17 00:00:00 2001 From: LinlyBoi Date: Fri, 31 Mar 2023 13:14:14 +0200 Subject: [PATCH 4/8] Mining_HQ (Cooler mining_hq) --- Mining_HQ.ipynb | 453 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 453 insertions(+) create mode 100644 Mining_HQ.ipynb diff --git a/Mining_HQ.ipynb b/Mining_HQ.ipynb new file mode 100644 index 0000000..baccfe4 --- /dev/null +++ b/Mining_HQ.ipynb @@ -0,0 +1,453 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Import Modules\n", + "The dwarves!" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (2807776577.py, line 1)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m Cell \u001b[0;32mIn[4], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m import digger, gunner, scout from dwarves\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] + } + ], + "source": [ + "from dwarves import digger, gunner, scout \n", + "import pandas as pd\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Pre-Processing\n", + "This segment is a demonstration on how the data cleaning process on the acquired datasets was handled" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Game Datasets" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'digger' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m games_review \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mread_csv(\u001b[39m\"\u001b[39m\u001b[39mdatasets/videogames/Games.xls\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 2\u001b[0m games_sales \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mread_csv(\u001b[39m\"\u001b[39m\u001b[39mdatasets/videogames/vgsales.csv\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m----> 4\u001b[0m games_review_phase1 \u001b[39m=\u001b[39m digger\u001b[39m.\u001b[39mslice_column(games_review, \u001b[39m\"\u001b[39m\u001b[39mGameName\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mReview\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 5\u001b[0m games_review_final \u001b[39m=\u001b[39m digger\u001b[39m.\u001b[39mslice_column(games_review, \u001b[39m\"\u001b[39m\u001b[39mGameName\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39m(Import)\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 7\u001b[0m games_merged_dat \u001b[39m=\u001b[39m digger\u001b[39m.\u001b[39mwrite_joined_df(games_sales, games_review_final)\n", + "\u001b[0;31mNameError\u001b[0m: name 'digger' is not defined" + ] + } + ], + "source": [ + "\n", + "games_review = pd.read_csv(\"datasets/videogames/Games.xls\")\n", + "games_sales = pd.read_csv(\"datasets/videogames/vgsales.csv\")\n", + "\n", + "games_review_phase1 = digger.slice_column(games_review, \"GameName\", \"Review\")\n", + "games_review_final = digger.slice_column(games_review, \"GameName\", \"(Import)\")\n", + "\n", + "games_merged_dat = digger.write_joined_df(games_sales, games_review_final)\n", + "\n", + "# Acquisition of Merged dataset\n", + "print(games_merged_dat.head(5))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "gammas = pd.read_csv(\"datasets/videogames/games_merged.csv\")\n", + "labels = [\"smol\", \"epik\", \"larg\"]\n", + "gammas = digger.slam_dunk(gammas, \"Critic_Score\", labels=labels)\n", + "gammas.to_csv(\"datasets/videogames/games_output.csv\", index=False)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Crime Datasets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "crime_CA = pd.read_excel(\"datasets/crime/clean_crime_canada_dataset.xlsx\")\n", + "\n", + "crime_US = pd.read_csv(\"datasets/crime/report.csv\")\n", + "\n", + "NA_col_list = [\n", + " \"JP_Sales\",\n", + " \"Other_Sales\",\n", + " \"Global_Sales\",\n", + " \"GameName\",\n", + " \"Review\",\n", + " \"Console\",\n", + " \"Score\",\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "print(crime_US.isnull())\n", + "print(crime_CA.isnull())\n", + "\n", + "year_interval = gunner.year_interval(crime_US, crime_CA, \"report_year\", \"year\")\n", + "\n", + "year_max = year_interval[0]\n", + "year_min = year_interval[1]\n", + "\n", + "crime_intersect = gunner.intersect_by_year(crime_US, crime_CA, \"report_year\", \"year\")\n", + "\n", + "crime_US_intersect = crime_intersect[0]\n", + "crime_CA_intersect = crime_intersect[1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "games_merged_dat = gunner.drop_kick(NA_col_list, games_merged_dat)\n", + "games_merged_dat.to_csv(\"datasets/videogames/games_merged.csv\", index=False)\n", + "\n", + "sale_tri_split = gunner.trisect_by_year(games_merged_dat, \"Year\", year_interval)\n", + "\n", + "games_sales_split_pre = sale_tri_split[0]\n", + "games_sales_split_dur = sale_tri_split[1]\n", + "games_sales_split_pos = sale_tri_split[2]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "print(\"Acquired Datasets:\\n\")\n", + "print(sale_tri_split[0].head(5), sale_tri_split[1].head(5), sale_tri_split[2].head(5))\n", + "\n", + "print(\"Dataset Info:\\n\")\n", + "sale_tri_split[0].info()\n", + "sale_tri_split[1].info()\n", + "sale_tri_split[2].info()\n", + "\n", + "\n", + "print(\"Dataset Info:\\n\")\n", + "games_sales_split_pre.info()\n", + "games_sales_split_dur.info()\n", + "games_sales_split_pos.info()\n", + "\n", + "print(\"Yer forsaken Statistical Description:\\n\", games_sales_split_dur.describe())\n", + "\n", + "print(\n", + " games_sales_split_pre.head(5),\n", + " games_sales_split_dur.head(5),\n", + " games_sales_split_pos.head(5),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Plotting\n", + "Engineer.py steps up to the job" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Importing and setting up environment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import pandas as pd\n", + "import mining_hq\n", + "from numpy import count_nonzero\n", + "\n", + "games_pre = mining_hq.games_sales_split_pre\n", + "games_dur = mining_hq.games_sales_split_dur\n", + "games_pos = mining_hq.games_sales_split_pos\n", + "\n", + "crime_US = mining_hq.crime_US_intersect\n", + "crime_CA = mining_hq.crime_CA_intersect\n", + "\n", + "custom_params = {\"axes.spines.right\": False, \"axes.spines.top\": False}\n", + "\n", + "sns.set_theme(style = 'ticks', rc = custom_params)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Game Sales pre 2000s" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### General Plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "games_fig_pre = sns.histplot(data = games_pre, x = \"Year\", palette = sns.color_palette(\"flare\"), kde = True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### According to Genre" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "games_fig2_pre = sns.histplot(data = games_pre, x = \"Year\", hue = \"Genre\", multiple = \"stack\", kde = True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Game Sales during 2000s" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### General Plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "games_fig_dur = sns.histplot(data = games_dur, x = \"Year\", kde = True)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### According to Genre" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "games_fig2_dur = sns.histplot(data = games_dur, x = \"Year\", hue = \"Genre\", multiple = \"stack\", kde = True)\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Crime in Canada and US" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "crime_CA_fig = sns.histplot(data = crime_CA, x = \"year\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "crime_US_fig = sns.histplot(data = crime_US, x = \"report_year\")\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting Crime in both CA and US together" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "crime_US_fig = sns.histplot(data = crime_US, x = \"report_year\")\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Integrating violence crimes column into Game sales \n", + "- Note: multiplying sales by 1000 because they're reduced by default\n", + "- to plot later" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "games_dur['Violent_US'] = crime_US['violent_crimes']\n", + "games_dur['NA_Sales'] = games_dur['NA_Sales'].multiply(1000)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting Sales against Crime with Relplot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.xticks(rotation = 90)\n", + "games_violence_US = sns.relplot(data = games_dur, x = 'NA_Sales', y = 'Violent_US')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Joined Plot and Histograms" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.xticks(rotation = 90)\n", + "games_crime_dur = sns.jointplot(data = games_dur, x = \"Year\", y = 'Violent_US')\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.9" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 83f5415ff0d6951cf8d2dc93562f27654e723131 Mon Sep 17 00:00:00 2001 From: LinlyBoi Date: Fri, 31 Mar 2023 13:14:42 +0200 Subject: [PATCH 5/8] silly python syntax D: --- Mining_HQ.ipynb | 46 ++++++++++++++++++++++++++-------------------- 1 file changed, 26 insertions(+), 20 deletions(-) diff --git a/Mining_HQ.ipynb b/Mining_HQ.ipynb index baccfe4..3be542c 100644 --- a/Mining_HQ.ipynb +++ b/Mining_HQ.ipynb @@ -10,18 +10,9 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "invalid syntax (2807776577.py, line 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m Cell \u001b[0;32mIn[4], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m import digger, gunner, scout from dwarves\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" - ] - } - ], + "outputs": [], "source": [ "from dwarves import digger, gunner, scout \n", "import pandas as pd\n" @@ -46,18 +37,33 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 7, "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'digger' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[2], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m games_review \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mread_csv(\u001b[39m\"\u001b[39m\u001b[39mdatasets/videogames/Games.xls\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 2\u001b[0m games_sales \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mread_csv(\u001b[39m\"\u001b[39m\u001b[39mdatasets/videogames/vgsales.csv\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m----> 4\u001b[0m games_review_phase1 \u001b[39m=\u001b[39m digger\u001b[39m.\u001b[39mslice_column(games_review, \u001b[39m\"\u001b[39m\u001b[39mGameName\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mReview\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 5\u001b[0m games_review_final \u001b[39m=\u001b[39m digger\u001b[39m.\u001b[39mslice_column(games_review, \u001b[39m\"\u001b[39m\u001b[39mGameName\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39m(Import)\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 7\u001b[0m games_merged_dat \u001b[39m=\u001b[39m digger\u001b[39m.\u001b[39mwrite_joined_df(games_sales, games_review_final)\n", - "\u001b[0;31mNameError\u001b[0m: name 'digger' is not defined" + "name": "stdout", + "output_type": "stream", + "text": [ + " Rank Name Platform Year Genre Publisher \\\n", + "0 1.0 Wii Sports Wii 2006.0 Sports Nintendo \n", + "1 2.0 Super Mario Bros. NES 1985.0 Platform Nintendo \n", + "2 3.0 Mario Kart Wii Wii 2008.0 Racing Nintendo \n", + "3 4.0 Wii Sports Resort Wii 2009.0 Sports Nintendo \n", + "4 5.0 Pokemon Red/Pokemon Blue GB 1996.0 Role-Playing Nintendo \n", + "\n", + " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales Console Review \\\n", + "0 41.49 29.02 3.77 8.46 82.74 NaN NaN \n", + "1 29.08 3.58 6.81 0.77 40.24 NaN NaN \n", + "2 15.85 12.88 3.79 3.31 35.82 NaN NaN \n", + "3 15.75 11.01 3.28 2.96 33.00 NaN NaN \n", + "4 11.27 8.89 10.22 1.00 31.37 NaN NaN \n", + "\n", + " Score GameName \n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n" ] } ], From fb062ac0e94d50ded1cbcdbae6143b9c6f8c3858 Mon Sep 17 00:00:00 2001 From: Supermjork Date: Fri, 31 Mar 2023 13:43:33 +0200 Subject: [PATCH 6/8] Curse Jewpidor smh --- Mining_HQ.ipynb | 459 ------------------- dwarves/Mining_HQ.ipynb | 946 ++++++++++++++++++++++++++++++++++++++++ dwarves/digger.py | 2 +- dwarves/engineer.py | 4 +- dwarves/mining_hq.py | 7 +- 5 files changed, 953 insertions(+), 465 deletions(-) delete mode 100644 Mining_HQ.ipynb create mode 100644 dwarves/Mining_HQ.ipynb diff --git a/Mining_HQ.ipynb b/Mining_HQ.ipynb deleted file mode 100644 index 3be542c..0000000 --- a/Mining_HQ.ipynb +++ /dev/null @@ -1,459 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Import Modules\n", - "The dwarves!" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "from dwarves import digger, gunner, scout \n", - "import pandas as pd\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Pre-Processing\n", - "This segment is a demonstration on how the data cleaning process on the acquired datasets was handled" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Game Datasets" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Rank Name Platform Year Genre Publisher \\\n", - "0 1.0 Wii Sports Wii 2006.0 Sports Nintendo \n", - "1 2.0 Super Mario Bros. NES 1985.0 Platform Nintendo \n", - "2 3.0 Mario Kart Wii Wii 2008.0 Racing Nintendo \n", - "3 4.0 Wii Sports Resort Wii 2009.0 Sports Nintendo \n", - "4 5.0 Pokemon Red/Pokemon Blue GB 1996.0 Role-Playing Nintendo \n", - "\n", - " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales Console Review \\\n", - "0 41.49 29.02 3.77 8.46 82.74 NaN NaN \n", - "1 29.08 3.58 6.81 0.77 40.24 NaN NaN \n", - "2 15.85 12.88 3.79 3.31 35.82 NaN NaN \n", - "3 15.75 11.01 3.28 2.96 33.00 NaN NaN \n", - "4 11.27 8.89 10.22 1.00 31.37 NaN NaN \n", - "\n", - " Score GameName \n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n" - ] - } - ], - "source": [ - "\n", - "games_review = pd.read_csv(\"datasets/videogames/Games.xls\")\n", - "games_sales = pd.read_csv(\"datasets/videogames/vgsales.csv\")\n", - "\n", - "games_review_phase1 = digger.slice_column(games_review, \"GameName\", \"Review\")\n", - "games_review_final = digger.slice_column(games_review, \"GameName\", \"(Import)\")\n", - "\n", - "games_merged_dat = digger.write_joined_df(games_sales, games_review_final)\n", - "\n", - "# Acquisition of Merged dataset\n", - "print(games_merged_dat.head(5))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "gammas = pd.read_csv(\"datasets/videogames/games_merged.csv\")\n", - "labels = [\"smol\", \"epik\", \"larg\"]\n", - "gammas = digger.slam_dunk(gammas, \"Critic_Score\", labels=labels)\n", - "gammas.to_csv(\"datasets/videogames/games_output.csv\", index=False)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Crime Datasets" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "crime_CA = pd.read_excel(\"datasets/crime/clean_crime_canada_dataset.xlsx\")\n", - "\n", - "crime_US = pd.read_csv(\"datasets/crime/report.csv\")\n", - "\n", - "NA_col_list = [\n", - " \"JP_Sales\",\n", - " \"Other_Sales\",\n", - " \"Global_Sales\",\n", - " \"GameName\",\n", - " \"Review\",\n", - " \"Console\",\n", - " \"Score\",\n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "print(crime_US.isnull())\n", - "print(crime_CA.isnull())\n", - "\n", - "year_interval = gunner.year_interval(crime_US, crime_CA, \"report_year\", \"year\")\n", - "\n", - "year_max = year_interval[0]\n", - "year_min = year_interval[1]\n", - "\n", - "crime_intersect = gunner.intersect_by_year(crime_US, crime_CA, \"report_year\", \"year\")\n", - "\n", - "crime_US_intersect = crime_intersect[0]\n", - "crime_CA_intersect = crime_intersect[1]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "games_merged_dat = gunner.drop_kick(NA_col_list, games_merged_dat)\n", - "games_merged_dat.to_csv(\"datasets/videogames/games_merged.csv\", index=False)\n", - "\n", - "sale_tri_split = gunner.trisect_by_year(games_merged_dat, \"Year\", year_interval)\n", - "\n", - "games_sales_split_pre = sale_tri_split[0]\n", - "games_sales_split_dur = sale_tri_split[1]\n", - "games_sales_split_pos = sale_tri_split[2]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "print(\"Acquired Datasets:\\n\")\n", - "print(sale_tri_split[0].head(5), sale_tri_split[1].head(5), sale_tri_split[2].head(5))\n", - "\n", - "print(\"Dataset Info:\\n\")\n", - "sale_tri_split[0].info()\n", - "sale_tri_split[1].info()\n", - "sale_tri_split[2].info()\n", - "\n", - "\n", - "print(\"Dataset Info:\\n\")\n", - "games_sales_split_pre.info()\n", - "games_sales_split_dur.info()\n", - "games_sales_split_pos.info()\n", - "\n", - "print(\"Yer forsaken Statistical Description:\\n\", games_sales_split_dur.describe())\n", - "\n", - "print(\n", - " games_sales_split_pre.head(5),\n", - " games_sales_split_dur.head(5),\n", - " games_sales_split_pos.head(5),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Plotting\n", - "Engineer.py steps up to the job" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Importing and setting up environment" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import pandas as pd\n", - "import mining_hq\n", - "from numpy import count_nonzero\n", - "\n", - "games_pre = mining_hq.games_sales_split_pre\n", - "games_dur = mining_hq.games_sales_split_dur\n", - "games_pos = mining_hq.games_sales_split_pos\n", - "\n", - "crime_US = mining_hq.crime_US_intersect\n", - "crime_CA = mining_hq.crime_CA_intersect\n", - "\n", - "custom_params = {\"axes.spines.right\": False, \"axes.spines.top\": False}\n", - "\n", - "sns.set_theme(style = 'ticks', rc = custom_params)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Game Sales pre 2000s" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### General Plot" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "plt.xticks(rotation = 90)\n", - "games_fig_pre = sns.histplot(data = games_pre, x = \"Year\", palette = sns.color_palette(\"flare\"), kde = True)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### According to Genre" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "plt.xticks(rotation = 90)\n", - "games_fig2_pre = sns.histplot(data = games_pre, x = \"Year\", hue = \"Genre\", multiple = \"stack\", kde = True)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Game Sales during 2000s" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### General Plot" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "plt.xticks(rotation = 90)\n", - "games_fig_dur = sns.histplot(data = games_dur, x = \"Year\", kde = True)\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### According to Genre" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "plt.xticks(rotation = 90)\n", - "games_fig2_dur = sns.histplot(data = games_dur, x = \"Year\", hue = \"Genre\", multiple = \"stack\", kde = True)\n", - "plt.show()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Crime in Canada and US" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "plt.xticks(rotation = 90)\n", - "crime_CA_fig = sns.histplot(data = crime_CA, x = \"year\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "plt.xticks(rotation = 90)\n", - "crime_US_fig = sns.histplot(data = crime_US, x = \"report_year\")\n", - "plt.show()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting Crime in both CA and US together" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "plt.xticks(rotation = 90)\n", - "crime_US_fig = sns.histplot(data = crime_US, x = \"report_year\")\n", - "plt.show()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Integrating violence crimes column into Game sales \n", - "- Note: multiplying sales by 1000 because they're reduced by default\n", - "- to plot later" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "games_dur['Violent_US'] = crime_US['violent_crimes']\n", - "games_dur['NA_Sales'] = games_dur['NA_Sales'].multiply(1000)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting Sales against Crime with Relplot" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plt.xticks(rotation = 90)\n", - "games_violence_US = sns.relplot(data = games_dur, x = 'NA_Sales', y = 'Violent_US')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Joined Plot and Histograms" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plt.xticks(rotation = 90)\n", - "games_crime_dur = sns.jointplot(data = games_dur, x = \"Year\", y = 'Violent_US')\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/dwarves/Mining_HQ.ipynb b/dwarves/Mining_HQ.ipynb new file mode 100644 index 0000000..ec476b9 --- /dev/null +++ b/dwarves/Mining_HQ.ipynb @@ -0,0 +1,946 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Import Modules\n", + "The dwarves!" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "import digger, gunner, scout \n", + "import pandas as pd\n", + "import numpy as np\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Pre-Processing\n", + "This segment is a demonstration on how the data cleaning process on the acquired datasets was handled" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Game Datasets" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Rank Name Genre ESRB_Rating Platform \\\n", + "0 1.0 Wii Sports Sports E Wii \n", + "1 2.0 Super Mario Bros. Platform NaN NES \n", + "2 3.0 Mario Kart Wii Racing E Wii \n", + "3 4.0 PlayerUnknown's Battlegrounds Shooter NaN PC \n", + "4 5.0 Wii Sports Resort Sports E Wii \n", + "\n", + " Publisher Developer Critic_Score User_Score \\\n", + "0 Nintendo Nintendo EAD 7.7 NaN \n", + "1 Nintendo Nintendo EAD 10.0 NaN \n", + "2 Nintendo Nintendo EAD 8.2 9.1 \n", + "3 PUBG Corporation PUBG Corporation NaN NaN \n", + "4 Nintendo Nintendo EAD 8.0 8.8 \n", + "\n", + " Total_Shipped Global_Sales NA_Sales PAL_Sales JP_Sales Other_Sales \\\n", + "0 82.86 NaN NaN NaN NaN NaN \n", + "1 40.24 NaN NaN NaN NaN NaN \n", + "2 37.14 NaN NaN NaN NaN NaN \n", + "3 36.60 NaN NaN NaN NaN NaN \n", + "4 33.09 NaN NaN NaN NaN NaN \n", + "\n", + " Year Console Review Score GameName \n", + "0 2006.0 NaN NaN NaN NaN \n", + "1 1985.0 NaN NaN NaN NaN \n", + "2 2008.0 NaN NaN NaN NaN \n", + "3 2017.0 NaN NaN NaN NaN \n", + "4 2009.0 NaN NaN NaN NaN \n" + ] + } + ], + "source": [ + "\n", + "games_review = pd.read_csv(\"../datasets/videogames/Games.xls\")\n", + "games_sales = pd.read_csv(\"../datasets/videogames/vgsales-12-4-2019-short.csv\")\n", + "\n", + "games_review_phase1 = digger.slice_column(games_review, \"GameName\", \"Review\")\n", + "games_review_final = digger.slice_column(games_review, \"GameName\", \"(Import)\")\n", + "\n", + "games_merged_dat = digger.write_joined_df(games_sales, games_review_final)\n", + "\n", + "# Acquisition of Merged dataset\n", + "print(games_merged_dat.head(5))" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Crime Datasets" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "crime_CA = pd.read_excel(\"../datasets/crime/clean_crime_canada_dataset.xlsx\")\n", + "\n", + "crime_US = pd.read_csv(\"../datasets/crime/report.csv\")\n", + "\n", + "NA_col_list = [\n", + " \"JP_Sales\",\n", + " \"Other_Sales\",\n", + " \"Global_Sales\",\n", + " \"GameName\",\n", + " \"Review\",\n", + " \"Console\",\n", + " \"Score\",\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "report_year 2828\n", + "agency_code 2828\n", + "agency_jurisdiction 2828\n", + "population 2828\n", + "violent_crimes 2828\n", + "homicides 2828\n", + "rapes 2828\n", + "assaults 2828\n", + "robberies 2828\n", + "months_reported 2828\n", + "crimes_percapita 2828\n", + "homicides_percapita 2828\n", + "rapes_percapita 2828\n", + "assaults_percapita 2828\n", + "robberies_percapita 2828\n", + "dtype: int64\n", + "year 4664\n", + "location 4664\n", + "type_of_crime 4664\n", + "incidents 4664\n", + "rate_per_100k 4664\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "\n", + "print(crime_US.isnull().count())\n", + "print(crime_CA.isnull().count())\n", + "\n", + "year_interval = gunner.year_interval(crime_US, crime_CA, \"report_year\", \"year\")\n", + "\n", + "year_max = year_interval[0]\n", + "year_min = year_interval[1]\n", + "\n", + "crime_intersect = gunner.intersect_by_year(crime_US, crime_CA, \"report_year\", \"year\")\n", + "\n", + "crime_US_intersect = crime_intersect[0]\n", + "crime_CA_intersect = crime_intersect[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "games_merged_dat = gunner.drop_kick(NA_col_list, games_merged_dat)\n", + "games_merged_dat.to_csv(\"../datasets/videogames/games_merged.csv\", index=False)\n", + "\n", + "sale_tri_split = gunner.trisect_by_year(games_merged_dat, \"Year\", year_interval)\n", + "\n", + "games_sales_split_pre = sale_tri_split[0]\n", + "games_sales_split_dur = sale_tri_split[1]\n", + "games_sales_split_pos = sale_tri_split[2]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Acquired Datasets:\n", + "\n", + " Rank Name Genre ESRB_Rating \\\n", + "1 2.0 Super Mario Bros. Platform NaN \n", + "5 6.0 Pokemon Red / Green / Blue Version Role-Playing E \n", + "7 8.0 Tetris Puzzle E \n", + "10 11.0 Duck Hunt Shooter NaN \n", + "18 19.0 Super Mario World Platform E \n", + "\n", + " Platform Publisher Developer Critic_Score User_Score \\\n", + "1 NES Nintendo Nintendo EAD 10.0 NaN \n", + "5 GB Nintendo Game Freak 9.4 NaN \n", + "7 GB Nintendo Bullet Proof Software NaN NaN \n", + "10 NES Nintendo Nintendo R&D1 NaN NaN \n", + "18 SNES Nintendo Nintendo EAD 8.5 NaN \n", + "\n", + " Total_Shipped NA_Sales PAL_Sales Year \n", + "1 40.24 NaN NaN 1985.0 \n", + "5 31.38 NaN NaN 1998.0 \n", + "7 30.26 NaN NaN 1989.0 \n", + "10 28.31 NaN NaN 1985.0 \n", + "18 20.61 NaN NaN 1991.0 Rank Name Genre ESRB_Rating Platform Publisher \\\n", + "0 1.0 Wii Sports Sports E Wii Nintendo \n", + "2 3.0 Mario Kart Wii Racing E Wii Nintendo \n", + "4 5.0 Wii Sports Resort Sports E Wii Nintendo \n", + "6 7.0 New Super Mario Bros. Platform E DS Nintendo \n", + "8 9.0 New Super Mario Bros. Wii Platform E Wii Nintendo \n", + "\n", + " Developer Critic_Score User_Score Total_Shipped NA_Sales PAL_Sales \\\n", + "0 Nintendo EAD 7.7 NaN 82.86 NaN NaN \n", + "2 Nintendo EAD 8.2 9.1 37.14 NaN NaN \n", + "4 Nintendo EAD 8.0 8.8 33.09 NaN NaN \n", + "6 Nintendo EAD 9.1 8.1 30.80 NaN NaN \n", + "8 Nintendo EAD 8.6 9.2 30.22 NaN NaN \n", + "\n", + " Year \n", + "0 2006.0 \n", + "2 2008.0 \n", + "4 2009.0 \n", + "6 2006.0 \n", + "8 2009.0 Rank Name Genre ESRB_Rating \\\n", + "3 4.0 PlayerUnknown's Battlegrounds Shooter NaN \n", + "31 32.0 Pokemon Sun/Moon Role-Playing E \n", + "35 36.0 Mario Kart 8 Deluxe Racing E \n", + "45 46.0 Red Dead Redemption 2 Action-Adventure M \n", + "48 49.0 Super Mario Odyssey Platform E10 \n", + "\n", + " Platform Publisher Developer Critic_Score User_Score \\\n", + "3 PC PUBG Corporation PUBG Corporation NaN NaN \n", + "31 3DS Nintendo Game Freak 9.0 NaN \n", + "35 NS Nintendo Nintendo EPD 9.3 NaN \n", + "45 PS4 Rockstar Games Rockstar Games 9.8 NaN \n", + "48 NS Nintendo Nintendo EPD 9.9 NaN \n", + "\n", + " Total_Shipped NA_Sales PAL_Sales Year \n", + "3 36.60 NaN NaN 2017.0 \n", + "31 16.14 NaN NaN 2016.0 \n", + "35 15.02 NaN NaN 2017.0 \n", + "45 NaN 5.26 6.21 2018.0 \n", + "48 13.76 NaN NaN 2017.0 \n", + "Dataset Info:\n", + "\n", + "\n", + "Int64Index: 12445 entries, 1 to 55771\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Rank 12445 non-null float64\n", + " 1 Name 12445 non-null object \n", + " 2 Genre 12445 non-null object \n", + " 3 ESRB_Rating 2704 non-null object \n", + " 4 Platform 12445 non-null object \n", + " 5 Publisher 12445 non-null object \n", + " 6 Developer 12444 non-null object \n", + " 7 Critic_Score 493 non-null float64\n", + " 8 User_Score 16 non-null float64\n", + " 9 Total_Shipped 243 non-null float64\n", + " 10 NA_Sales 1047 non-null float64\n", + " 11 PAL_Sales 1086 non-null float64\n", + " 12 Year 12445 non-null float64\n", + "dtypes: float64(7), object(6)\n", + "memory usage: 1.3+ MB\n", + "\n", + "Int64Index: 37102 entries, 0 to 55763\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Rank 37102 non-null float64\n", + " 1 Name 37102 non-null object \n", + " 2 Genre 37102 non-null object \n", + " 3 ESRB_Rating 18606 non-null object \n", + " 4 Platform 37102 non-null object \n", + " 5 Publisher 37102 non-null object \n", + " 6 Developer 37089 non-null object \n", + " 7 Critic_Score 5709 non-null float64\n", + " 8 User_Score 212 non-null float64\n", + " 9 Total_Shipped 1284 non-null float64\n", + " 10 NA_Sales 10610 non-null float64\n", + " 11 PAL_Sales 11150 non-null float64\n", + " 12 Year 37102 non-null float64\n", + "dtypes: float64(7), object(6)\n", + "memory usage: 4.0+ MB\n", + "\n", + "Int64Index: 5266 entries, 3 to 55790\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Rank 5266 non-null float64\n", + " 1 Name 5266 non-null object \n", + " 2 Genre 5266 non-null object \n", + " 3 ESRB_Rating 2213 non-null object \n", + " 4 Platform 5266 non-null object \n", + " 5 Publisher 5266 non-null object \n", + " 6 Developer 5266 non-null object \n", + " 7 Critic_Score 330 non-null float64\n", + " 8 User_Score 100 non-null float64\n", + " 9 Total_Shipped 300 non-null float64\n", + " 10 NA_Sales 1301 non-null float64\n", + " 11 PAL_Sales 929 non-null float64\n", + " 12 Year 5266 non-null float64\n", + "dtypes: float64(7), object(6)\n", + "memory usage: 576.0+ KB\n", + "Dataset Info:\n", + "\n", + "\n", + "Int64Index: 12445 entries, 1 to 55771\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Rank 12445 non-null float64\n", + " 1 Name 12445 non-null object \n", + " 2 Genre 12445 non-null object \n", + " 3 ESRB_Rating 2704 non-null object \n", + " 4 Platform 12445 non-null object \n", + " 5 Publisher 12445 non-null object \n", + " 6 Developer 12444 non-null object \n", + " 7 Critic_Score 493 non-null float64\n", + " 8 User_Score 16 non-null float64\n", + " 9 Total_Shipped 243 non-null float64\n", + " 10 NA_Sales 1047 non-null float64\n", + " 11 PAL_Sales 1086 non-null float64\n", + " 12 Year 12445 non-null float64\n", + "dtypes: float64(7), object(6)\n", + "memory usage: 1.3+ MB\n", + "\n", + "Int64Index: 37102 entries, 0 to 55763\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Rank 37102 non-null float64\n", + " 1 Name 37102 non-null object \n", + " 2 Genre 37102 non-null object \n", + " 3 ESRB_Rating 18606 non-null object \n", + " 4 Platform 37102 non-null object \n", + " 5 Publisher 37102 non-null object \n", + " 6 Developer 37089 non-null object \n", + " 7 Critic_Score 5709 non-null float64\n", + " 8 User_Score 212 non-null float64\n", + " 9 Total_Shipped 1284 non-null float64\n", + " 10 NA_Sales 10610 non-null float64\n", + " 11 PAL_Sales 11150 non-null float64\n", + " 12 Year 37102 non-null float64\n", + "dtypes: float64(7), object(6)\n", + "memory usage: 4.0+ MB\n", + "\n", + "Int64Index: 5266 entries, 3 to 55790\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Rank 5266 non-null float64\n", + " 1 Name 5266 non-null object \n", + " 2 Genre 5266 non-null object \n", + " 3 ESRB_Rating 2213 non-null object \n", + " 4 Platform 5266 non-null object \n", + " 5 Publisher 5266 non-null object \n", + " 6 Developer 5266 non-null object \n", + " 7 Critic_Score 330 non-null float64\n", + " 8 User_Score 100 non-null float64\n", + " 9 Total_Shipped 300 non-null float64\n", + " 10 NA_Sales 1301 non-null float64\n", + " 11 PAL_Sales 929 non-null float64\n", + " 12 Year 5266 non-null float64\n", + "dtypes: float64(7), object(6)\n", + "memory usage: 576.0+ KB\n", + "Yer forsaken Statistical Description:\n", + " Rank Critic_Score User_Score Total_Shipped NA_Sales \\\n", + "count 37102.000000 5709.000000 212.000000 1284.000000 10610.000000 \n", + "mean 25036.476282 7.170047 8.369811 1.786597 0.273487 \n", + "std 15243.705990 1.433885 1.254125 4.209405 0.512590 \n", + "min 1.000000 1.000000 2.000000 0.030000 0.000000 \n", + "25% 11755.250000 6.400000 8.000000 0.200000 0.050000 \n", + "50% 23875.500000 7.400000 8.600000 0.545000 0.120000 \n", + "75% 38152.750000 8.200000 9.200000 1.680000 0.290000 \n", + "max 55764.000000 10.000000 10.000000 82.860000 9.760000 \n", + "\n", + " PAL_Sales Year \n", + "count 11150.000000 37102.000000 \n", + "mean 0.149162 2008.141852 \n", + "std 0.380365 4.135877 \n", + "min 0.000000 2000.000000 \n", + "25% 0.010000 2005.000000 \n", + "50% 0.040000 2009.000000 \n", + "75% 0.140000 2011.000000 \n", + "max 9.850000 2015.000000 \n", + " Rank Name Genre ESRB_Rating \\\n", + "1 2.0 Super Mario Bros. Platform NaN \n", + "5 6.0 Pokemon Red / Green / Blue Version Role-Playing E \n", + "7 8.0 Tetris Puzzle E \n", + "10 11.0 Duck Hunt Shooter NaN \n", + "18 19.0 Super Mario World Platform E \n", + "\n", + " Platform Publisher Developer Critic_Score User_Score \\\n", + "1 NES Nintendo Nintendo EAD 10.0 NaN \n", + "5 GB Nintendo Game Freak 9.4 NaN \n", + "7 GB Nintendo Bullet Proof Software NaN NaN \n", + "10 NES Nintendo Nintendo R&D1 NaN NaN \n", + "18 SNES Nintendo Nintendo EAD 8.5 NaN \n", + "\n", + " Total_Shipped NA_Sales PAL_Sales Year \n", + "1 40.24 NaN NaN 1985.0 \n", + "5 31.38 NaN NaN 1998.0 \n", + "7 30.26 NaN NaN 1989.0 \n", + "10 28.31 NaN NaN 1985.0 \n", + "18 20.61 NaN NaN 1991.0 Rank Name Genre ESRB_Rating Platform Publisher \\\n", + "0 1.0 Wii Sports Sports E Wii Nintendo \n", + "2 3.0 Mario Kart Wii Racing E Wii Nintendo \n", + "4 5.0 Wii Sports Resort Sports E Wii Nintendo \n", + "6 7.0 New Super Mario Bros. Platform E DS Nintendo \n", + "8 9.0 New Super Mario Bros. Wii Platform E Wii Nintendo \n", + "\n", + " Developer Critic_Score User_Score Total_Shipped NA_Sales PAL_Sales \\\n", + "0 Nintendo EAD 7.7 NaN 82.86 NaN NaN \n", + "2 Nintendo EAD 8.2 9.1 37.14 NaN NaN \n", + "4 Nintendo EAD 8.0 8.8 33.09 NaN NaN \n", + "6 Nintendo EAD 9.1 8.1 30.80 NaN NaN \n", + "8 Nintendo EAD 8.6 9.2 30.22 NaN NaN \n", + "\n", + " Year \n", + "0 2006.0 \n", + "2 2008.0 \n", + "4 2009.0 \n", + "6 2006.0 \n", + "8 2009.0 Rank Name Genre ESRB_Rating \\\n", + "3 4.0 PlayerUnknown's Battlegrounds Shooter NaN \n", + "31 32.0 Pokemon Sun/Moon Role-Playing E \n", + "35 36.0 Mario Kart 8 Deluxe Racing E \n", + "45 46.0 Red Dead Redemption 2 Action-Adventure M \n", + "48 49.0 Super Mario Odyssey Platform E10 \n", + "\n", + " Platform Publisher Developer Critic_Score User_Score \\\n", + "3 PC PUBG Corporation PUBG Corporation NaN NaN \n", + "31 3DS Nintendo Game Freak 9.0 NaN \n", + "35 NS Nintendo Nintendo EPD 9.3 NaN \n", + "45 PS4 Rockstar Games Rockstar Games 9.8 NaN \n", + "48 NS Nintendo Nintendo EPD 9.9 NaN \n", + "\n", + " Total_Shipped NA_Sales PAL_Sales Year \n", + "3 36.60 NaN NaN 2017.0 \n", + "31 16.14 NaN NaN 2016.0 \n", + "35 15.02 NaN NaN 2017.0 \n", + "45 NaN 5.26 6.21 2018.0 \n", + "48 13.76 NaN NaN 2017.0 \n" + ] + } + ], + "source": [ + "\n", + "print(\"Acquired Datasets:\\n\")\n", + "print(sale_tri_split[0].head(5), sale_tri_split[1].head(5), sale_tri_split[2].head(5))\n", + "\n", + "print(\"Dataset Info:\\n\")\n", + "sale_tri_split[0].info()\n", + "sale_tri_split[1].info()\n", + "sale_tri_split[2].info()\n", + "\n", + "\n", + "print(\"Dataset Info:\\n\")\n", + "games_sales_split_pre.info()\n", + "games_sales_split_dur.info()\n", + "games_sales_split_pos.info()\n", + "\n", + "print(\"Yer forsaken Statistical Description:\\n\", games_sales_split_dur.describe())\n", + "\n", + "print(\n", + " games_sales_split_pre.head(5),\n", + " games_sales_split_dur.head(5),\n", + " games_sales_split_pos.head(5),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\hellom\\AppData\\Local\\Temp\\ipykernel_16036\\2254464593.py:4: DtypeWarning: Columns (1,2,3,4,5,6) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " gammas = pd.read_csv(\"../datasets/videogames/games_merged.csv\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "min: 1.0 max: 10.0\n", + "0 0.399535\n", + "1 2.335800\n", + "2 0.820462\n", + "3 0.736276\n", + "4 0.652091\n", + "5 1.830687\n", + "6 1.578131\n", + "7 1.367667\n", + "8 1.157204\n", + "9 2.335800\n", + "Name: Critic_Score_Norm, dtype: float64\n", + " Rank Name Genre ESRB_Rating \\\n", + "23952 23953.0 Basha Card Game Collection Misc NaN \n", + "41756 41757.0 Project Phoenix Misc NaN \n", + "29167 29168.0 Dragon Scroll: Yomigaerishi Maryuu Role-Playing NaN \n", + "10152 10153.0 Super Sanctum TD Strategy NaN \n", + "27228 27229.0 Crazy Pinball Misc E \n", + "\n", + " Platform Publisher Developer Critic_Score \\\n", + "23952 PSN Unknown Quirkat 6.671642 \n", + "41756 PSV Unknown Unknown 7.734043 \n", + "29167 NES Konami Konami 8.147059 \n", + "10152 PC Unknown Coffee Stain Studios 5.223529 \n", + "27228 DSiW DTP Entertainment dtp entertainment AG 5.000000 \n", + "\n", + " User_Score Total_Shipped NA_Sales PAL_Sales Year \\\n", + "23952 9.747917 0.03 0.000 0.0 2011.0 \n", + "41756 9.000278 0.03 0.000 0.0 2020.0 \n", + "29167 7.332155 0.03 0.000 0.0 1987.0 \n", + "10152 7.558887 0.15 0.125 0.0 2007.0 \n", + "27228 8.129441 0.03 0.000 0.0 2010.0 \n", + "\n", + " bin_Critic_Score bin_value Critic_Score_Norm \n", + "23952 NaN 5.5 -0.466193 \n", + "41756 NaN 8.5 0.428194 \n", + "29167 NaN 8.5 0.775893 \n", + "10152 NaN 5.5 -1.685293 \n", + "27228 NaN 5.5 -1.873472 \n", + " | Entry 1 | Entry 2 | Entry 3 | Entry 4 | Entry 5 |\n", + "Entry 1 | 0.00000 | 9.61705 | 24.3835 | 4.94015 | 2.89729 |\n", + "\n", + "Entry 2 | 9.61705 | 0.00000 | 33.0465 | 13.8158 | 11.0694 |\n", + "\n", + "Entry 3 | 24.3835 | 33.0465 | 0.00000 | 20.5836 | 23.5703 |\n", + "\n", + "Entry 4 | 4.94015 | 13.8158 | 20.5836 | 0.00000 | 3.07261 |\n", + "\n", + "Entry 5 | 2.89729 | 11.0694 | 23.5703 | 3.07261 | 0.00000 |\n", + "\n" + ] + } + ], + "source": [ + "# Load merged gammas\n", + "\n", + "# Required to use binning for cleaning\n", + "gammas = pd.read_csv(\"../datasets/videogames/games_merged.csv\")\n", + "labels = [\"smol\", \"epik\", \"larg\"]\n", + "gammas = digger.slam_dunk(gammas, \"Critic_Score\", labels=labels)\n", + "\n", + "# Also need to transform using Z-score (normal distr go brrrr lmao), or min-max\n", + "# ah, scheiße\n", + "gammas['Critic_Score_Norm'] = scout.scaling_zscore(gammas, 'Critic_Score')\n", + "print(gammas['Critic_Score_Norm'].head(10))\n", + "\n", + "# Saving all into a file\n", + "gammas.to_csv(\"../datasets/videogames/games_cleanish.csv\", index=False)\n", + "\n", + "# Need similarity and dissimialrity, scipy time\n", + "# Selecting 5 random rows\n", + "chosen_idx = np.random.choice(len(gammas), replace = False, size = 5)\n", + "sample_rows = gammas.iloc[chosen_idx]\n", + "print(sample_rows.head())\n", + "\n", + "scout.dissimilarity(sample_rows)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Plotting\n", + "Engineer.py steps up to the job" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Importing and setting up environment" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import pandas as pd\n", + "from numpy import count_nonzero\n", + "\n", + "games_pre = games_sales_split_pre\n", + "games_dur = games_sales_split_dur\n", + "games_pos = games_sales_split_pos\n", + "\n", + "crime_US = crime_US_intersect\n", + "crime_CA = crime_CA_intersect\n", + "\n", + "custom_params = {\"axes.spines.right\": False, \"axes.spines.top\": False}\n", + "\n", + "sns.set_theme(style = 'ticks', rc = custom_params)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Game Sales pre 2000s" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### General Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\hellom\\AppData\\Local\\Temp\\ipykernel_16036\\2832375763.py:2: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n", + " games_fig_pre = sns.histplot(data = games_pre, x = \"Year\", palette = sns.color_palette(\"flare\"), kde = True)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "games_fig_pre = sns.histplot(data = games_pre, x = \"Year\", palette = sns.color_palette(\"flare\"), kde = True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### According to Genre" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "games_fig2_pre = sns.histplot(data = games_pre, x = \"Year\", hue = \"Genre\", multiple = \"stack\", kde = True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Game Sales during 2000s" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### General Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "games_fig_dur = sns.histplot(data = games_dur, x = \"Year\", kde = True)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### According to Genre" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "games_fig2_dur = sns.histplot(data = games_dur, x = \"Year\", hue = \"Genre\", multiple = \"stack\", kde = True)\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Crime in Canada and US" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "crime_CA_fig = sns.histplot(data = crime_CA, x = \"year\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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CtH79eu3YsUPvvvuumjVrpsWLF2v8+PEaPHiwvv76ay1btkwvvfSSwzIAAADPUenyU1JSorlz50qSvLy8tHbt2gr71KpVS/Xq1dOjjz7qsIC1atXS/PnzNWvWLI0dO1anTp1SeHi4li1bpjZt2kiSFi9erClTpigxMVFNmjTRmDFjlJiY6LAMAADAc1S6/Dz66KO2UhMREaE1a9YoOjq62oL9XoMGDTRx4kRNnDjxguvR0dFavXp1jWQBAADurUp3e+3fv9/ROQAAAGpElW913759uz7//HOdPXtW5eXldmteXl6aOnXqZYcDAABwtCqVn6VLl2ratGny8/NTUFCQvLy87Nb/8zEAAICrqFL5WbFihe655x5NmTLFoXd2AQAAVLcqfc5PQUGB+vTpQ/EBAABup0rlJzIyUt9//72jswAAAFS7Kr3tNW7cOD355JMKDAxUmzZtFBAQUGGfK6+88rLDAQAAOFqVys+DDz6o8vJyjRs37qIXN+/bt++yggEAAFSHKpWfyZMnc0cXAABwS1UqP7169XJ0DgAAgBpRpfKTkZHxh/vExsZW5aUBAACqVZXKT79+/eTl5SWr1Wrb9p9vg3HNDwAAcEVVKj9vv/12hW2//PKLMjMztWHDBqWkpFx2MAAAgOpQpfITFxd3we1du3ZVYGCg5s+frwULFlxWMAAAgOpQpQ85vJQOHTooPT3d0S8LAADgEA4vP5999pnq1Knj6JcFAABwiCq97fXwww9X2FZeXq7c3FwdPXpUQ4YMuexgAAAA1aFK5ef3d3mdV6tWLYWHh2vo0KHq3bv3ZQcDAACoDlUqP8uXL3d0DgAAgBpRpfJz3tatW5Wenq7Tp08rKChI7du3V+fOnR2VDQAAwOGqVH4sFouGDx+ubdu2qXbt2mrYsKEKCwu1YMECxcfHa8GCBfL19XV0VgAAgMtWpbu9UlJSlJWVpWnTpunrr7/Wtm3btGfPHr3yyivavXu35s+f7+icAAAADlGl8vPBBx9oxIgRuvfee1W7dm1Jkre3t/7yl79oxIgR2rhxo0NDAgAAOEqVys/JkycVGRl5wbXIyEjl5eVdVigAAIDqUqXy07x5c2VlZV1wLSMjQ6GhoZcVCjWnbqCPyssrfnSBKyCXe3PV3y1XzCS5bi5X46q/VxI/Q3dSpQue/+d//kevvvqq/P39dffdd6tx48YqKCjQBx98oEWLFmnEiBGOzolqEuDrrVq1vLT6k3/peOEvzo5jE968obrHX0OuSjifydW44u+WK/78JNfMxe/Vn8PP0L1Uqfw8+OCD2rt3r5KTk/Xaa6/ZtlutViUmJuqvf/2rwwKiZhwv/EXHCn52dgybJlcESCJXZZzP5Kpc8XvlSpkk18zF79Wfw8/QvVT5VvcpU6Zo4MCBSk9P16lTp+Tl5aXbbrtNYWFhjs4IAADgMH/qmp/vvvtOvXv31ptvvilJCgsL04MPPqiHHnpIs2fP1qhRo5SdnV0tQQEAAByh0uXnyJEjevjhh1VQUKCWLVvarfn4+GjMmDEqKirSQw89xN1eAADAZVW6/CxcuFBXXHGF1q1bpzvuuMNuLSAgQI888oj+9re/yc/PTwsWLHB4UAAAAEeodPnZsWOHBg8erKCgoIvu06RJEw0cOFDbt293SDgAAABHq3T5yc/PV4sWLf5wv/DwcOXm5l5OJgAAgGpT6fITFBSk/Pz8P9yvsLBQDRo0uKxQAAAA1aXS5Sc2NlbvvffeH+63fv36i/7pCwAAAGerdPnp16+fdu3apVdffVUlJSUV1i0Wi6ZNm6atW7eqb9++Dg0JAADgKJX+kMOoqCiNHTtWU6dO1YYNG9SxY0c1a9ZMZWVlOnbsmHbt2qXCwkI98cQT6ty5c3VmBgAAqLI/9QnPffv2VUREhJYsWaK0tDTbGaA6deqoU6dOGjhwoNq0aVMtQQEAABzhT/95i/bt26t9+/aSpJMnT8rb21v169d3eDAAAIDqUKW/7XXepT7zBwAAwBX9qb/t5Uzr16/XXXfdpaioKN1999366KOPbGtHjhzR0KFD1a5dO3Xq1EmzZs1SWVmZE9MCAABX5RblZ8OGDRo/frz69u2rDz/8UD179tSoUaP01VdfqbS0VIMGDZIkrVq1Si+++KLeffddvf76605ODQAAXNFlve1VE6xWq2bPnq2HH37Ydgv9o48+qszMTKWnp+vo0aM6duyY1qxZowYNGig8PFwnTpzQtGnTNGzYMPn6+jp5AgAA4Epc/sxPdna2jh49qnvuucdu+5IlSzR06FBlZmaqdevWdp8qHR8frzNnzmjfvn01HRcAALg4lz/zk52dLUn65ZdfNGjQIO3du1fNmjXTo48+qoSEBOXm5iokJMTuOU2bNpUk5eTkXPDW+27dul306+Xk5Cg0NNSBEwAAAFfi8md+zpw5I0l69tln1bNnTy1dulQ333yzhg8frh07dqi4uLjCW1t+fn6SdMFPogYAAGZz+TM/Pj4+kqRBgwYpMTFRknT99ddr7969evPNN+Xv7y+LxWL3nPOlJzAw8IKvmZaWdtGvd6mzQgAAwP25/Jmf4OBgSVJ4eLjd9muvvVZHjhxRSEhIhb82f/7x+ecCAACc5/Llp3Xr1qpTp4727Nljt/1f//qXmjdvrtjYWO3du9f29pgk7dy5U3Xq1FFERERNxwUAAC7O5cuPv7+/Bg8erNdff10ffPCBfvrpJ82fP1/bt2/XgAEDdNttt6lJkyZ68skntX//fn366aeaMWOGBg4cyG3uAACgApe/5keShg8froCAAM2cOVN5eXkKCwtTSkqKbrzxRknS4sWL9dJLL+mBBx5QgwYN9NBDD2n48OFOTg0AAFyRW5QfSRowYIAGDBhwwbVrrrlGS5cureFEAADAHbn8214AAACORPkBAABGofwAAACjUH4AAIBRKD8AAMAolB8AAGAUyg8AADAK5QcAABiF8gMAAIxC+QEAAEah/AAAAKNQfgAAgFEoPwAAwCiUHwAAYBTKDwAAMArlBwAAGIXyAwAAjEL5AQAARqH8AAAAo1B+AACAUSg/AADAKJQfAABgFMoPAAAwCuUHAAAYhfIDAACMQvkBAABGofwAAACjUH4AAIBRKD8AAMAolB8AAGAUyg8AADAK5QcAABiF8gMAAIxC+QEAAEah/AAAAKNQfgAAgFEoPwAAwCiUHwAAYBTKDwAAMArlBwAAGMWtyk92drbatm2r9957z7Zt3759SkpKUkxMjBISEvT22287MSEAAHB1blN+SktLNXr0aP3yyy+2bYWFhRowYICaN2+u1NRUPfbYY0pOTlZqaqoTkwIAAFfm7ewAlZWSkqK6devabVuzZo18fHw0adIkeXt7KywsTD/++KMWLlyo3r17OykpAABwZW5RfjIyMrR69WqtX79eXbt2tW3PzMxUXFycvL1/GyM+Pl4LFixQQUGBGjdufMHX69at20W/Vk5OjkJDQx2WHQAAuBaXf9vr9OnTGjNmjCZMmFChlOTm5iokJMRuW9OmTSX9WmIAAAD+k8uf+XnxxRfVtm1b3XPPPRXWiouL5evra7fNz89PklRSUnLR10xLS7vo2qXOCgEAAPfn0uVn/fr1yszM1MaNGy+47u/vL4vFYrftfOkJDAys9nwAAMD9uHT5SU1N1YkTJ+yu85GkiRMnatOmTQoJCVF+fr7d2vnHwcHBNRUTAAC4EZcuP8nJySouLrbb1r17d40cOVL33nuvNmzYoFWrVqmsrEy1a9eWJO3cuVMtW7ZUo0aNnBEZAAC4OJe+4Dk4OFjXXHON3X+S1KhRIwUHB6t37946c+aMxo8frwMHDui9997TsmXLNHToUCcnBwAArsqly88fadSokRYvXqzs7GwlJiZq7ty5GjNmjBITE50dDQAAuCiXftvrQr777ju7x9HR0Vq9erWT0gAAAHfj1md+AAAA/izKDwAAMArlBwAAGIXyAwAAjEL5AQAARqH8AAAAo1B+AACAUSg/AADAKJQfAABgFMoPAAAwCuUHAAAYhfIDAACMQvkBAABGofwAAACjUH4AAIBRKD8AAMAolB8AAGAUyg8AADAK5QcAABiF8gMAAIxC+QEAAEah/AAAAKNQfgAAgFEoPwAAwCiUHwAAYBTKDwAAMArlBwAAGIXyAwAAjEL5AQAARqH8AAAAo1B+AACAUSg/AADAKJQfAABgFMoPAAAwCuUHAAAYhfIDAACMQvkBAABGofwAAACjUH4AAIBR3KL8FBUV6YUXXlCXLl3Url07Pfjgg8rMzLSt79ixQ7169VKbNm10xx136MMPP3RiWgAA4MrcovyMGjVKX331lWbMmKHU1FRdf/31GjRokA4dOqSDBw9q6NCh6ty5s9577z3df//9GjNmjHbs2OHs2AAAwAV5OzvAH/nxxx+1fft2vfPOO2rfvr0k6fnnn9c//vEPbdy4USdOnFCrVq301FNPSZLCwsK0d+9eLV68WB07dnRmdAAA4IJc/sxPw4YNtXDhQkVFRdm2eXl5ycvLS6dPn1ZmZmaFkhMfH6+srCxZrdaajgsAAFycy5/5qV+/vm655Ra7bZs3b9aPP/6ocePGad26dQoJCbFbb9q0qc6ePavCwkIFBQVVeM1u3bpd9Ovl5OQoNDTUMeEBAIDLcfkzP//pn//8p8aOHavu3bura9euKi4ulq+vr90+5x9bLBZnRAQAAC7M5c/8/N6nn36q0aNHq127dkpOTpYk+fn5VSg55x8HBARc8HXS0tIu+jUudVYIAAC4P7c587NixQo9/vjjuvXWW/XGG2/Iz89PkhQaGqr8/Hy7ffPz8xUYGKh69eo5IyoAAHBhblF+3nnnHU2ePFl9+/bVjBkz7N7m6tChg9LT0+3237lzp9q1a6datdxiPAAAUINc/m2v7OxsTZ06VbfffruGDh2qgoIC25q/v7/69eunxMREJScnKzExUV988YU+/vhjLV682ImpAQCAq3L58rN582aVlpbqk08+0SeffGK3lpiYqFdffVXz5s3T9OnT9dZbb6lZs2aaPn06n/EDAAAuyOXLz7BhwzRs2LBL7tOlSxd16dKlhhIBAAB3xkUxAADAKJQfAABgFMoPAAAwCuUHAAAYhfIDAACMQvkBAABGofwAAACjUH4AAIBRKD8AAMAolB8AAGAUyg8AADAK5QcAABiF8gMAAIxC+QEAAEah/AAAAKNQfgAAgFEoPwAAwCiUHwAAYBTKDwAAMArlBwAAGIXyAwAAjEL5AQAARqH8AAAAo1B+AACAUSg/AADAKJQfAABgFMoPAAAwCuUHAAAYhfIDAACMQvkBAABGofwAAACjUH4AAIBRKD8AAMAolB8AAGAUyg8AADAK5QcAABiF8gMAAIxC+QEAAEah/AAAAKNQfgAAgFE8ovyUl5drzpw56ty5s2JiYjRkyBAdPnzY2bEAAIAL8ojyM2/ePL3zzjuaPHmyVq1apfLycg0ePFgWi8XZ0QAAgItx+/JjsVi0dOlSjRw5Ul27dlVERIRmzpyp3NxcbdmyxdnxAACAi3H78rN//379/PPP6tixo21b/fr1FRkZqYyMDCcmAwAArsjLarVanR3icmzZskWPP/649uzZI39/f9v2J554QsXFxVqwYEGF53Tr1u2ir3fkyBHVrl1boaGh1ZJXkn4+W6qyctf4tvt411KAn7dLZZLI9We4YibJNXO5YibJNXO5YiaJXH+GK2aSpNq1vFQnwKdaXjs0NFQrVqz4w/28q+Wr16CzZ89Kknx9fe22+/n56dSpU3/69by8vOTtXT3flpycHEmq1mJVVdXxi+iIeavrf5DLdaFczv751vT3qrLzuuLPsCqZauLn60rfq5ycHBXJNY9XEsesP+NimZx9zHImty8/58/2WCwWuzM/JSUlCggIuOBz0tLSaiTbfzp/xslZX7+mMa9nY17PZtq8knkzmzbv77n9NT/nG2t+fr7d9vz8fAUHBzsjEgAAcGFuX34iIiJUt25d7dq1y7bt9OnT2rt3r2JjY52YDAAAuCK3f9vL19dXSUlJSk5OVlBQkK666ipNnz5dISEh6t69u7PjAQAAF+P25UeSRo4cqXPnzmnChAkqLi5WbGyslixZIh8f17vwDAAAOJdHlJ/atWvrmWee0TPPPOPsKAAAwMW5/TU/AAAAf4bbf8ghAADAn8GZHwAAYBTKDwAAMArlBwAAGIXyAwAAjEL5AQAARqH8AAAAo1B+AACAUSg/1ayoqEh5eXn697//7ewoqGa5ubkqLy93dowac/LkSf3f//2fCgsLnR2lRhQWFuqbb77x+P+XOWaZw7Rj1u9RfqrBzp07NXjwYLVt21YdO3ZU165dFRcXp/bt22vIkCFKT093dkSHKS8v17x585SQkKD27dvrqaee0rFjx+z2KSgo0PXXX++khDXnrrvu0tGjR50dw+FKSko0adIk9e7dW5JksVj07LPP6uabb9b999+vzp07a8KECSotLXVyUsd59913NXz4cC1cuFCSlJKSos6dO6tPnz668cYb9fLLL6usrMzJKR2HYxbHLNPwCc8OtmnTJo0ZM0Y9evRQfHy8mjZtKj8/P5WUlCg/P187d+7U5s2b9dprr6lHjx7OjnvZFi5cqIULF2rgwIHy8vLSqlWrVFJSoqVLlyoyMlLSrweSTp06af/+/U5Oe/kefvjhi65lZmYqKipKfn5+kqS33367pmJVq8mTJ+uTTz7RyJEj1adPH02fPl0bN27UuHHjdN111+m7777TtGnT1LNnT40ePdrZcS/b0qVLNWfOHHXu3FlZWVnq1KmT/v73v2vMmDGKiYnR/v379eqrr6pfv34aOnSos+NeNo5ZHLM87ZhVGR7xh01dydy5czVq1CgNHDjwguv333+/WrdurTlz5njEgSQ1NVUvv/yy7rjjDklSUlKShg8frgEDBuidd95RWFiYJMnLy8uZMR3Gx8dH27dvV0xMjFq2bGm39s9//lPBwcGqU6eOk9JVj82bN2v69Onq2LGjJOmTTz7RCy+8oNtuu02SFBYWpnr16mns2LEeUX5WrVqlV155RXfeeae+++473XfffZo6dap69eolSbr22mvl7++v5ORkjyg/HLM4ZnnaMatSrHCoNm3aWA8dOnTJfQ4ePGiNjo6uoUTVKyYmxvrTTz/Zbfv555+tiYmJ1ltvvdWam5trPX78uDUiIsJJCR3vzTfftMbGxlpXrFhht/1C3wtPEBMTYz148KDtcdeuXa3ffvut3T7Z2dnWNm3a1HCy6hETE2M9fPiw7XFkZKR13759dvscPnzYGhMTU9PRqgXHLI5ZJuKaHwcLCwvTxo0bL7nPunXr1KJFi5oJVM2aNWumnTt32m0LDAzUggULZLVaNXjwYJ04ccJJ6arHI488ouXLl2vVqlUaMmSICgoKnB2pWsXGxmrmzJm2a3p69Oihv/3tb3b7LFu2TFFRUc6I53C//3/4ww8/lNVq1datW+32+fzzzz3m/2GOWRyzTMQ1Pw62Y8cODRs2TBEREYqPj1doaKh8fX1lsViUn5+v9PR07dmzR/Pnz1enTp2cHfeypaamauLEierVq5cGDRqka665xrZ28OBB9e/fX6WlpTp9+rT27dvnxKSOZ7FYNG3aNH344Yd68cUXNXbsWG3YsEFXX321s6M51A8//KCkpCT5+Pjo9ttvV9OmTbVo0SK1bNlS1113nb7++mv99NNPWr58uW644QZnx71sX375pYYNG6bAwECdOnVKffr00dGjR3XllVcqKipK3333ndasWaMpU6bovvvuc3bcy8Yxi2OWpx2zKoPyUw0OHjyot956S1lZWcrNzVVxcbH8/PwUGhqqDh06qF+/frr22mudHdNh3n//fa1atUrPPPOM2rZta7d25MgRjR07VpmZmR53IDlv69atGjdunE6cOKEtW7Z45IGkqKhIy5cv1/bt25Wdna0zZ87I29tbISEhio2N1aBBgypcT+DOsrOztXXrVjVq1Eh33nmnCgoKNH78eGVlZSkkJEQDBgzQAw884OyYDsMx6zccs8xA+UGNyM/PV9OmTZ0do9qcPHlSW7duVffu3RUYGOjsOAAuE8csz0b5qSZ79uxRRkaGcnNzVVJSooCAAAUHBys2NlbR0dHOjudwzOvZ80rmzXyheUNCQtShQwePnBcwCeXHwQoLCzVy5EhlZGQoODi4wmdm5OXlKT4+XrNnz1aDBg2cHfeyMa9nzyuZN7Np8wImovw42NNPP63s7GzNmDHjgndHZGdn6+mnn1ZYWJimT59e8wEdjHntedq8knkzmzbv2LFjK73vK6+8Uo1JagbzXpwnzFtZfMihg33++ed66623LnpbaMuWLfXiiy9qyJAhNRusmjCvPU+bVzJvZtPm9fHx0Zo1a3TllVfqqquucnacase8kCg/Dufv7/+Hf+OouLi4htJUP+atyJPmlcyb2bR5J02apCuuuEKpqamaPXu2goKCnB2pWjGvZ89bWXzIoYP16NFDY8eO1bZt22SxWOzWzp07p507d2r8+PEe8THxEvP+nifOK5k3s2nzStJTTz2l5s2ba+bMmc6OUiOYF1zz42AWi0UTJ07Uhg0b5OXlpYYNG9o+MKyoqEjl5eW666679PLLL8vf39/ZcS8b83r2vJJ5M5s273kHDx7Url279NBDDzk7So1gXrNRfqpJXl6esrKylJ+fr7Nnz8rf318hISFq3769R352BPN69rySeTObNi9gEspPNSsqKlJJSYkCAwNVr149Z8epdszr+UybmXk9G/OaiQueq8HOnTu1ePFiZWVl2V0YGRgYqHbt2mnIkCGKi4tzYkLHYt5feeq8knkzM++vmNczmDZvZXDmx8E2bdqkMWPGqEePHoqPj6/wAWk7d+7U5s2b9dprr3nEBZPM69nzSubNzLzMy7wGsMKh7rzzTuuSJUsuuc+SJUusd911Vw0lql7MW5EnzWu1mjcz81bEvO7LtHkri1vdHezYsWO69dZbL7lP165ddeTIkRpKVL2YtyJPmlcyb2bmrYh53Zdp81YW5cfBwsLCtHHjxkvus27duot+eqy7Yd6KPGleybyZmbci5nVfps1bWVzz42A7duzQsGHDFBERofj4eIWGhto+IyQ/P1/p6enas2eP5s+fr06dOjk77mVjXs+eVzJvZuZlXub1fJSfanDw4EG99dZbysrKUm5uroqLi+Xn56fQ0FB16NBB/fr107XXXuvsmA7DvJ49r2TezMzLvMzr2bjVvRrUrl1bTZo0UceOHdW5c2fdcsstdutnzpzR2LFjPeYv6DKvZ88rmTcz8zIv83o2zvw4WFZWlgYNGqSmTZvKy8tLP/30k7p3767p06fL19dXklRQUKDOnTtr3759Tk57+ZjXs+eVzJuZeZmXeQ3gzFvNPNGDDz5onTRpku3xxx9/bG3Xrp110KBB1tLSUqvVarUeP37cGhER4ayIDsW8nj2v1WrezMzLvMzr+Sg/DtauXTvrDz/8YLctKyvLGhMTYx01apTVavWsXzTm9ex5rVbzZmZe5mVez8et7g5Wt25dnThxwm5bu3btNH36dH300Uce954q83r2vJJ5MzMv83oS0+atNGe3L0/z/PPPW++9917rV199ZbVYLHZry5cvt7Zq1cr6+OOPe0zLZt7feOK8Vqt5MzPvb5jX/Zk2b2VRfhysqKjIOmDAAGtERIT1iy++qLC+cuVKa+vWrT3mF4157XnavFareTMzrz3mdW+mzVtZ3O1VTX766Sc1bNhQ9erVq7CWnZ2tLVu2aOjQoU5IVj2Y9zeeOK9k3szM+xvmdX+mzftHKD8AAMAoXPAMAACMQvkBAABGofwAAACjUH4AGIHLGwGcR/kB4PHS0tL07LPPOjsGABfBX3UH4PGWLVvm7AgAXAhnfgAAgFEoPwAcJiEhQVOnTlX//v0VHR2t8ePHq6ioSC+88IJuuukmRUVF6YEHHtCOHTvsnteqVSutWLFCzz77rNq2baubbrpJU6ZMUUlJid1+mzZtUq9evdS2bVvdfPPNeuGFF3Tq1CnbekpKim6//XbNnTtXcXFx6tSpk+69916lp6crPT1drVq10q5duyo1y8iRI9WlSxeVl5fbbR8/frx69Ohhe5yZmamkpCS1adNGcXFxevbZZ3Xy5Em752RkZGjQoEGKjY3VDTfcoISEBKWkpNhe+8iRI2rVqpXefPNN3XHHHWrTpo1SU1MrlRPAn0f5AeBQK1euVFRUlObNm6c+ffqof//+SktL01NPPaW5c+cqJCREgwcPrlCAZs+erRMnTmjWrFkaPHiwVq9ebXedzrx58zRq1CjFxMRozpw5euyxx7R582b169dPxcXFtv2OHTumL774QjNnztTYsWM1Y8YMRUZGKjIyUqtXr1br1q0rNUefPn2Ul5dnV5aKi4v18ccfKzExUdKvpeaRRx6Rv7+/Zs2apXHjxik9PV0PP/ywLdP+/fv1yCOP6IorrtDMmTM1f/58dejQQXPnztVHH31k9zVTUlI0ZMgQTZs2TTfffPOf+8YDqDyn/nENAB7l1ltvtd522222x6tXr7aGh4dbd+/ebdtWXl5u7du3r7VXr162beHh4dbu3btbS0tLbdvefPNNa3h4uPXAgQPWoqIi6w033GB9/vnn7b5eRkaGNTw83LpixQqr1Wq1zpkzxxoeHm7NyMiw2y8pKcmalJT0p2YpKyuzdunSxTpmzBjbtvfff98aERFhzcnJsVqtVut///d/W3v27Gk9d+6cbZ9Dhw5Zr7/+elumdevWWQcPHmwtKyuze+327dvb5jl8+LA1PDzcOm7cuD+VEUDVcOYHgENdf/31tn/v2LFDTZo0UevWrXXu3DmdO3dOZWVluvXWW/XNN9/YvWV1zz33yNv7t3swzr+1lJGRod27d8tisahnz552X6tDhw666qqrlJ6eftEMVVWrVi0lJiZqy5YtOnv2rCRp3bp1uummmxQSEqKzZ89qz549uuWWW2S1Wm3zXX311QoLC9P27dslSX/5y1+0aNEilZaWav/+/dq8ebPmzJmjsrIylZaWOjw3gD/G3V4AHCowMND276KiIh0/fvyibzUdP35cDRo0kCQFBwfbrTVq1EiSdOrUKdtrNm7cuMJrNG7cWP/+97/tttWpU6fqA/xO79699cYbb2jLli2Kj4/Xjh07lJycLEk6ffq0ysvLtWjRIi1atKjCc/38/CT9+lbZ5MmTtWHDBp07d07NmjVT27Zt5e3tXeGzh37/vQNQfSg/AKpNvXr11KJFC1th+E/NmjWz/buwsNBuraCgQJIUFBRkK0gFBQX6r//6L7v9jh8/rquvvtqRsW2uvvpqxcXF6aOPPlJRUZHq1q2r2267TdKvBcvLy0uPPPKI7r777grPDQgIkCRNmTJFmzdv1qxZs3TTTTfZCk7Hjh2rJTOAP8bbXgCqTVxcnHJyctSoUSNFRUXZ/tu+fbsWL16s2rVr2/b97LPP7J67efNmeXl5KT4+Xm3atJGvr68++OADu30yMzN17NgxtWvX7pI5atWq+qGuT58++vLLL/XBBx/orrvusp3RqVu3riIjI3Xo0CG72a677jqlpKTYLpTOysrSjTfeqNtuu81WfL755hudPHmywp1kAGoG5QdAtenVq5euvPJKDRgwQOvWrdPOnTs1Y8YMzZ49W02bNpWPj49t3927d2v06NH6xz/+oUWLFmnmzJl64IEHdPXVV+uKK67QX//6V61Zs0aTJ0/Wtm3btGrVKj3++OO69tprbXdfXUz9+vWVnZ2tHTt22F1nVBk9evSQn5+fvv76a/Xu3dtubdSoUdq2bZuefvppffHFF/rss89sd7Kdf6svOjpa27Zt07vvvqv09HS9/fbbGjJkiLy8vGzXEgGoWbztBaDaBAYGauXKlXrttdc0ffp0/fvf/9ZVV12lp59+WgMHDrTbt3///srLy9OIESPUsGFDDRs2TEOHDrWtP/7442rcuLFWrFih1atX64orrtAdd9yhJ5988g+vlenbt6+++eYbDRkyRK+88oruueeeSs/g5+en+Ph4HTp0SNHR0XZrnTp10pIlSzR37lyNHDlSPj4+at26td58803FxMRIkp577jmVlpZq1qxZslgsatasmR599FEdOHBAn332mcrKyiqdBYBjeFn/84o7AKhhrVq10ogRI/T44487O0oFxcXFuuWWWzR8+HD179/f2XEAOABnfgAYpby8vFLX2uTl5WndunX68ssv5eXlVeEtLwDui/IDwCjjxo3TunXr/nC/v//971q+fLnq1KmjmTNnqm7dujWQDkBN4G0vAEY5cuRIhdvqLyQqKqoG0gBwBsoPAAAwCre6AwAAo1B+AACAUSg/AADAKJQfAABgFMoPAAAwCuUHAAAYhfIDAACM8v+FFj3ET7WC7AAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "plt.xticks(rotation = 90)\n", + "crime_US_fig = sns.histplot(data = crime_US, x = \"report_year\")\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Integrating violence crimes column into Game sales \n", + "- Note: multiplying sales by 1000 because they're reduced by default\n", + "- to plot later" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\hellom\\AppData\\Local\\Temp\\ipykernel_16036\\2268265722.py:1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " games_dur['Violent_US'] = crime_US['violent_crimes']\n", + "C:\\Users\\hellom\\AppData\\Local\\Temp\\ipykernel_16036\\2268265722.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " games_dur['NA_Sales'] = games_dur['NA_Sales'].multiply(1000)\n" + ] + } + ], + "source": [ + "games_dur['Violent_US'] = crime_US['violent_crimes']\n", + "games_dur['NA_Sales'] = games_dur['NA_Sales'].multiply(1000)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting Sales against Crime with Relplot" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.xticks(rotation = 90)\n", + "games_violence_US = sns.relplot(data = games_dur, x = 'NA_Sales', y = 'Violent_US')\n", + "plt.close(1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Joined Plot and Histograms" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.xticks(rotation = 90)\n", + "games_crime_dur = sns.jointplot(data = games_dur, x = \"Year\", y = 'Violent_US')\n", + "plt.close(1)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.0" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "c261aea317cc0286b3b3261fbba9abdec21eaa57589985bb7a274bf54d6cc0a7" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/dwarves/digger.py b/dwarves/digger.py index 55d8fbe..5660c42 100644 --- a/dwarves/digger.py +++ b/dwarves/digger.py @@ -1,7 +1,7 @@ # Getting and combining data import pandas as pd import numpy as np -from dwarves import scout +import scout from numpy import ndarray from scipy.stats import binned_statistic diff --git a/dwarves/engineer.py b/dwarves/engineer.py index e528841..25ff065 100644 --- a/dwarves/engineer.py +++ b/dwarves/engineer.py @@ -53,8 +53,10 @@ games_dur['NA_Sales'] = games_dur['NA_Sales'].multiply(1000) plt.xticks(rotation = 90) games_violence_US = sns.relplot(data = games_dur, x = 'NA_Sales', y = 'Violent_US') +plt.close(1) plt.show() plt.xticks(rotation = 90) games_crime_dur = sns.jointplot(data = games_dur, x = "Year", y = 'Violent_US') -plt.show() \ No newline at end of file +plt.close(1) +plt.show() diff --git a/dwarves/mining_hq.py b/dwarves/mining_hq.py index 1b552ce..8560250 100644 --- a/dwarves/mining_hq.py +++ b/dwarves/mining_hq.py @@ -2,10 +2,9 @@ # Collects stuff from the rest of the scripts import pandas as pd import numpy as np -import seaborn as sns # containment breach import scipy as scp -import digger, gunner, scout +import gunner, digger, gunner, scout # Instantiating globals to be used in other files global games_merged_dat @@ -32,8 +31,8 @@ crime_CA = pd.read_excel("datasets/crime/clean_crime_canada_dataset.xlsx") crime_US = pd.read_csv("datasets/crime/report.csv") -print(crime_US.isnull()) -print(crime_CA.isnull()) +print(crime_US.isnull().count()) +print(crime_CA.isnull().count()) year_interval = gunner.year_interval(crime_US, crime_CA, "report_year", "year") From 562aeeca5636b8c967d2dbe879fd6a0bfb13693c Mon Sep 17 00:00:00 2001 From: Supermjork Date: Fri, 31 Mar 2023 15:20:15 +0200 Subject: [PATCH 7/8] POGGU --- .../crime/clean_crime_canada_dataset.xlsx | Bin 114275 -> 145248 bytes datasets/crime/report.csv | 5659 +++++++++-------- dwarves/engineer.py | 4 +- 3 files changed, 2832 insertions(+), 2831 deletions(-) diff --git a/datasets/crime/clean_crime_canada_dataset.xlsx b/datasets/crime/clean_crime_canada_dataset.xlsx index 4ca75ee32cd29a32e94775c8e8993e296b5e6f72..7395e32287e17ad8d52ab3ea689e8905c3e79fc9 100644 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XU%;nD0_?-OdK^<3%NU8MK2VcDX*D0P|xImF7ldlVm^*jew z2M3%!60FQBhPqmnS-USF4z!R&rp0VY&(f56izx1cQBucLRF8Rh`lY`(bxo|;H75?L z>2heaK&Xn-7~ZtKeVr3fFp2U@wpq2!;y@g}e$p}_^nl5(fG?_pS!YNVG%q;qVydn9 z6gX2qCmT)`wc1U8v5tj7A87*tmc~3ETODp z&*g2;_V?>W?DXF_1c~2~vzqXkYtNlTdLzP_VP;Is0xUme?IlN(->v9wN;>ePxS@OM z`wGW_>^ZdGEeVnMxQ(!-=RNDWK<-b7KulD`6)oY zSw^5?fCH66@B5q%6!`_1Lcc>-dOxuL7TN!ohZ}LDn5TpZaP{$FfY2{ImGsd2Tc-QD zqtX6;bn!@UzE^CFPs1qh{~?NuqOWuKhvgr!&j@CesXxKkvhU#k5v`02j7sDuL(kJ6 z4FA<7j8Mk%^e6OF<##A!vC2rmnErke(3g__Z!% Date: Fri, 31 Mar 2023 16:42:36 +0200 Subject: [PATCH 8/8] AIGHT DONE FR THIS TIME --- dwarves/mining_hq.py | 1 + dwarves/scout.py | 14 +++++++++++++- 2 files changed, 14 insertions(+), 1 deletion(-) diff --git a/dwarves/mining_hq.py b/dwarves/mining_hq.py index 8560250..59e3483 100644 --- a/dwarves/mining_hq.py +++ b/dwarves/mining_hq.py @@ -116,3 +116,4 @@ sample_rows = gammas.iloc[chosen_idx] print(sample_rows.head()) scout.dissimilarity(sample_rows) +scout.similarity(sample_rows) diff --git a/dwarves/scout.py b/dwarves/scout.py index 0d396e9..d84eba7 100644 --- a/dwarves/scout.py +++ b/dwarves/scout.py @@ -52,7 +52,7 @@ def dissimilarity(row_arr): row_arr = row_arr.select_dtypes(include = np.number) row_arr = row_arr.drop('Rank', axis = 1) - print(" | Entry 1 | Entry 2 | Entry 3 | Entry 4 | Entry 5 |") + print(" Dissim | Entry 1 | Entry 2 | Entry 3 | Entry 4 | Entry 5 |") for i in range(len(row_arr)): print("Entry " , i + 1, " | ", end = "") for j in range(len(row_arr)): @@ -60,6 +60,18 @@ def dissimilarity(row_arr): print(" {:#.6g} |".format(eucDist), end = "") print("\n") +def similarity(row_arr): + row_arr = row_arr.select_dtypes(include = np.number) + row_arr = row_arr.drop('Rank', axis = 1) + + print("Similarity| Entry 1 | Entry 2 | Entry 3 | Entry 4 | Entry 5 |") + for i in range(len(row_arr)): + print("Entry ", i + 1, " | ", end = "") + for j in range(len(row_arr)): + sim = 1 - distance.cosine(row_arr.iloc[i], row_arr.iloc[j]) + print(" {:#.6g} |".format(sim), end = "") + print("\n") + def scaling_range(datashitter, col): nonnull = datashitter[col].isna() minmax_scaler = preprocessing.MinMaxScaler()