Updated to output both all data (within the bounds of the study objec…

…t) and the cleaned up dataset with no missing values nor outliers

descriptive_stats.csv

@@ -1,12 +1,9 @@
-;country;conflict_id;start_year;end_year;duration;best;avg_deaths;HR_before;HR_after;HR_rel_change;CV_global_homicides;CV_pop
-count;140;140,0;140,0;140,0;140,0;140,0;140,0;140,0;140,0;140,0;86,0;140,0
-unique;43;;;;;;;;;;20,0;115,0
-top;Myanmar;;;;;;;;;;5,911968893;945601828,0
-freq;26;;;;;;;;;;10,0;3,0
-mean;;2487,457142857143;2002,4642857142858;2004,442857142857;2,9785714285714286;701,4428571428572;210,00774856096282;5,540059010091309;4,619647707604405;0,8506270076347853;;
-std;;4748,14530298873;8,771611103818328;9,035717637069846;3,4358831337125424;2669,6292693106516;653,6646601515621;4,825299100349639;4,652746516449647;0,3387849594051143;;
-min;;205,0;1991,0;1991,0;1,0;1,0;0,3333333333333333;0,483729133;0,009189522;0,0038358522785031084;;
-25%;;322,5;1994,0;1995,75;1,0;29,0;26,0;2,6939845036000003;2,2348313678;0,6260039999287705;;
-50%;;390,5;2000,0;2004,0;1,0;84,0;45,66666666666667;4,7685227188;3,4849616472;0,8341582729300074;;
-75%;;421,0;2012,0;2014,0;4,0;297,75;121,375;6,23271577375;4,8814039732;1,0208820515600454;;
-max;;14333,0;2017,0;2019,0;17,0;26455,0;6613,75;27,132408251999998;28,819494582000004;1,7747206898927228;;
+,Unnamed: 0,conflict_id,start_year,end_year,duration,best,avg_deaths,HR_before,HR_after,HR_rel_change,CV_global_homicides,CV_pop
+count,75.0,75.0,75.0,75.0,75.0,75.0,75.0,75.0,75.0,75.0,75.0,75.0
+mean,229.97333333333333,3569.9733333333334,2008.28,2010.7466666666667,3.466666666666667,536.2533333333333,162.10019943019944,4.677040203503111,3.5202213017524446,0.8321387924947842,6.130849106120001,309040903.41333336
+std,131.56911382126017,5580.853153255172,6.204967495613626,5.48485219523768,4.1859912234168055,1673.1973687987186,396.71902425764586,4.324501652295224,2.2568534599127,0.25021897715028246,0.2950419498644734,486719259.8903954
+min,7.0,205.0,1994.0,2000.0,1.0,1.0,0.3333333333333333,0.874174528,0.566649714,0.3086034947899748,5.564134104,2884239.0
+25%,153.0,341.0,2004.0,2006.0,1.0,27.0,25.5,2.3418648710500003,2.194371056,0.6453805976405484,5.911968893,10354851.0
+50%,221.0,413.0,2009.0,2012.0,2.0,83.0,44.0,3.773985048666667,2.8048488914,0.8265738478727482,6.032096376,51852464.0
+75%,341.0,5890.5,2014.0,2015.0,4.0,346.0,91.70833333333334,5.107960423950001,3.993503397875,0.9514634425668795,6.178188546,205768783.0
+max,430.0,14268.0,2017.0,2019.0,17.0,13474.0,2370.0,27.132408252,11.837778168,1.4755054390329303,6.854248582,1379860000.0

dirty_descriptive_stats.csv

@@ -0,0 +1,9 @@
+,Unnamed: 0,conflict_id,start_year,end_year,duration,best,avg_deaths,HR_before,HR_after,HR_rel_change,CV_global_homicides,CV_pop
+count,411.0,411.0,411.0,411.0,411.0,411.0,411.0,190.0,210.0,140.0,244.0,410.0
+mean,217.92457420924575,1970.243309002433,2000.367396593674,2004.4257907542578,5.0583941605839415,1647.7956204379561,361.13925250063943,5.479226194319825,6.184033344492381,0.8506270076347853,6.106161385504098,123016526.56341463
+std,127.26418327972267,4251.780641517525,11.342078262086956,10.10704736237927,7.083921771087867,6273.341956213651,1583.2624065647271,5.116833516093115,10.412655509227463,0.3387849594051143,0.39590458644370785,293764984.0338984
+min,0.0,205.0,1965.0,1989.0,1.0,1.0,0.0357142857142857,0.483729133,0.009189522,0.0038358522785031,5.564134104,369517.0
+25%,107.5,314.0,1992.0,1995.0,1.0,30.5,25.0,2.4685804525500004,2.3956923606,0.6260039999287705,5.906905873,8268024.25
+50%,217.0,375.0,1998.0,2003.0,2.0,102.0,57.0,4.59967981525,3.843034922,0.8341582729300074,6.032025006,25971537.0
+75%,327.5,415.0,2011.0,2015.0,5.0,464.5,161.66666666666669,6.397755729100001,6.617458017400001,1.0208820515600454,6.178188546,66218671.5
+max,437.0,15283.0,2020.0,2020.0,36.0,78429.0,26143.0,40.62336013,133.01571476666666,1.7747206898927228,6.943723418,1380004385.0

main.py

@@ -23,8 +23,7 @@ def avg_years(values):
         print([type(x) for x in values])
         sys.exit("Error in averaging the homicide rates for the following series:")
 
-
-def main():
+def prep():
     # Read datasets
     homicides = pd.read_csv(loc_homicides)
     homicides.drop(columns=homicides.columns[0], axis=1, inplace=True)
@@ -137,13 +136,30 @@ def main():
                 cc_ivdv.loc[i, variable] = None
 
     # Drop rows that have missing values
-    cc_ivdv.dropna(subset=["avg_deaths", "HR_before", "HR_after", "HR_rel_change", "CV_pop", "CV_global_homicides"], inplace=True)
+    cc_ivdv.dropna(subset=["avg_deaths", "HR_before", "HR_after", "HR_rel_change", "CV_pop", "CV_global_homicides"],
+                   inplace=True)
 
     # Output of csv for analysis
     cc_ivdv.to_csv("output.csv")
 
     return 0
 
 
+def analyse():
+    dirty_data = pd.read_csv("output_dirty.csv")
+    dataset = pd.read_csv("output.csv")
+
+    dirty_data.describe().to_csv("dirty_descriptive_stats.csv")
+    dataset.describe().to_csv("descriptive_stats.csv")
+
+    return 0
+
+
+def main():
+    prep()
+    analyse()
+    return 0
+
+
 if __name__ == "__main__":
     main()

output.csv

@@ -1,67 +1,36 @@
 ,country,conflict_id,start_year,end_year,duration,best,avg_deaths,HR_before,HR_after,HR_rel_change,CV_global_homicides,CV_pop
-4,Albania,412,1998,1999,2,6,3.0,13.934203285999999,5.5336330844,0.3971259045689224,,3108778.0
 7,Algeria,13721,2015,2015,1,26,26.0,1.1219291236,1.324465069,1.180524724012967,5.911968893,39728020.0
-18,Armenia,388,1991,1994,4,152,38.0,5.030857812,3.2601200794,0.6480246910623679,,3283664.0
 19,Armenia,388,2005,2005,1,1,1.0,2.7223516285,2.7874076569999997,1.0238969969268243,6.293981484,2981262.0
 20,Armenia,388,2012,2012,1,9,9.0,2.7469666185999997,2.5100327188,0.9137470771593308,6.113175523,2884239.0
 21,Armenia,388,2014,2017,4,13,3.25,2.4401936714000003,1.9722885636666667,0.808250831392049,5.906905873,2944789.0
-22,Azerbaijan,388,1991,1994,4,4728,1182.0,4.542468491,4.176353483,0.9194017506724846,,7596550.0
-23,Azerbaijan,388,1997,1998,2,63,31.5,6.2273018294,2.75192268275,0.44191252618554183,,7913000.0
 24,Azerbaijan,388,2005,2005,1,24,24.0,2.6676731950000003,2.2078167173333334,0.8276188858033389,6.293981484,8391850.0
 25,Azerbaijan,388,2008,2008,1,30,30.0,2.166378561,2.2806596475000003,1.052752131394454,6.010090245,8763400.0
 26,Azerbaijan,388,2012,2012,1,16,16.0,2.23259993625,2.1229165815999997,0.9508719171450705,6.113175523,9295784.0
 27,Azerbaijan,388,2014,2017,4,282,70.5,2.2806596475000003,1.9734806836666667,0.8653113522791289,5.906905873,9854033.0
-28,Azerbaijan,396,1993,1993,1,60,60.0,5.6475411079999995,4.8742719946,0.8630786215429882,,7494800.0
-29,Azerbaijan,396,1995,1995,1,44,44.0,5.9482993506,3.593327174,0.6040931974342455,,7684850.0
 32,Bangladesh,11350,2005,2006,2,119,59.5,2.7027549398,2.7597588348000004,1.0210910335082835,6.178188546,140921154.0
 33,Bangladesh,13674,2016,2017,2,88,44.0,2.7521301846000004,2.373328796,0.8623606576754086,5.906905873,159685421.0
-34,Bhutan,421,1996,1999,4,4,1.0,3.5231997799999997,2.4843920496,0.7051521925333454,,577886.0
-35,Bosnia and Herzegovina,389,1992,1995,4,26455,6613.75,1.635516427,2.639172356,1.6136630072502476,,3829049.0
-37,Bosnia and Herzegovina,390,1995,1995,1,40,40.0,1.635516427,2.639172356,1.6136630072502476,,3829049.0
-38,Bosnia and Herzegovina,397,1993,1995,3,1036,345.3333333333333,1.635516427,2.639172356,1.6136630072502476,,3829049.0
 43,Burundi,287,2014,2015,2,241,120.5,5.429154888499999,6.054537366,1.1151896548069906,5.911968893,10160034.0
 50,Cameroon,13638,2015,2016,2,361,180.5,3.483924409,1.388093415,0.39842810923628164,5.947845376,23926549.0
 65,China,439,2009,2009,1,2,2.0,1.4126118204,0.8305636248000001,0.5879630998449489,6.066836418,1331260000.0
 66,China,439,2014,2015,2,5,2.5,0.9019704371999999,0.566649714,0.6282353507716495,5.911968893,1379860000.0
 67,China,11349,2008,2008,1,36,36.0,1.5646788195999999,0.9019704371999999,0.576457242151832,6.010090245,1324655000.0
-76,Croatia,389,1992,1995,4,19,4.75,6.024476743999999,2.4758837862,0.4109707600192539,,4620030.0
-77,Croatia,390,1992,1993,2,468,234.0,6.024476743999999,2.8546911666,0.4738488150764451,,4600463.0
-78,Croatia,390,1995,1995,1,818,818.0,5.5873331798,2.4758837862,0.44312442206795777,,4620030.0
-79,Croatia,397,1993,1995,3,8,2.6666666666666665,6.741939049,2.4758837862,0.36723615686902955,,4620030.0
-103,Ecuador,403,1995,1995,1,11,11.0,9.4127601102,12.99084298,1.3801311016013955,,11455205.0
-104,"Egypt, Arab Rep.",391,1993,1998,6,613,102.16666666666667,0.483729133,0.646746135,1.3370005874754705,,66200259.0
-130,Georgia,380,1991,1993,3,275,91.66666666666667,4.990388881,7.226083512600001,1.4480000827414476,,4911100.0
-131,Georgia,392,1992,1993,2,2177,1088.5,6.3943225990000006,7.226083512600001,1.1300780341814594,,4911100.0
-132,Georgia,393,1992,1992,1,134,134.0,6.3943225990000006,9.5349986422,1.4911663424193151,,4873500.0
 133,Georgia,393,2004,2004,1,27,27.0,5.98280051225,7.3294753326,1.2250910451706747,6.504204151,3927340.0
 134,Georgia,393,2008,2008,1,621,621.0,8.0632406765,4.829849939000001,0.5989961273358007,6.010090245,3848449.0
-146,India,218,1994,1994,1,6,6.0,5.2853500425,4.7526159436,0.8992055219396569,,945601828.0
 147,India,218,1996,2003,8,1450,181.25,5.1830775074,3.913525245,0.755058213853173,6.729341778,1111523146.0
-149,India,227,1991,1994,4,650,162.5,5.057039129,4.7526159436,0.9398020901886521,,945601828.0
-150,India,251,1992,1997,6,371,61.833333333333336,5.253497713,4.499614836400001,0.8564988665104994,,1000900028.0
 151,India,251,2000,2000,1,30,30.0,4.7526159436,4.1069368802,0.8641423857803009,6.854248582,1056575548.0
-153,India,335,1992,1992,1,29,29.0,5.253497713,4.9027999090000005,0.9332448926108442,,909307018.0
-154,India,335,1997,1997,1,72,72.0,5.0481688936,4.499614836400001,0.8913360331712658,,1000900028.0
 155,India,335,1999,2004,6,223,37.166666666666664,4.835794546200001,3.843034922,0.7947059961469791,6.504204151,1129623466.0
-156,India,347,1993,1996,4,103,25.75,5.323792144666666,4.6104755514,0.866013440441836,,982365248.0
 157,India,347,1998,2000,3,116,38.666666666666664,4.9027999090000005,4.1069368802,0.8376717297112114,6.854248582,1056575548.0
 158,India,347,2003,2009,7,447,63.857142857142854,4.499614836400001,3.7124690259999995,0.8250637356708131,6.066836418,1217726217.0
 161,India,365,1994,2010,17,1105,65.0,5.2853500425,3.6370137592,0.6881311038917816,6.04961649,1234281163.0
-163,India,421,1994,1994,1,36,36.0,5.2853500425,4.7526159436,0.8992055219396569,,945601828.0
-164,India,421,1996,1999,4,119,29.75,5.1830775074,4.2327995218,0.8166575776180721,,1038058154.0
 165,India,421,2001,2004,4,257,64.25,4.701930365600001,3.843034922,0.8173313135635093,6.504204151,1129623466.0
 166,India,421,2009,2010,2,130,65.0,3.913525245,3.6370137592,0.9293446525857276,6.04961649,1234281163.0
 167,India,421,2013,2014,2,67,33.5,3.7839070714000003,3.127678628,0.8265738478727482,6.032096376,1295600768.0
 168,India,434,2008,2008,1,25,25.0,3.9449651024000003,3.7340571716,0.9465374406806057,6.010090245,1200669762.0
 169,India,11342,2012,2012,1,27,27.0,3.8004914084,3.3765961204,0.8884630321586598,6.113175523,1265780243.0
 170,India,11342,2014,2014,1,26,26.0,3.7340571716,3.127678628,0.8376086611067677,6.032096376,1295600768.0
-171,India,11475,2000,2001,2,3,1.5,4.7526159436,4.014849655400001,0.8447662725212427,6.943723418,1075000094.0
 172,India,13653,2015,2018,4,274,68.5,3.7124690259999995,2.9540664355,0.7957147695540129,5.774733653,1352642283.0
 181,"Iran, Islamic Rep.",205,2016,2016,1,22,22.0,2.5812707185,2.194371056,0.8501127139718104,5.947845376,79563991.0
 189,"Iran, Islamic Rep.",14268,2017,2017,1,27,27.0,2.5812707185,2.194371056,0.8501127139718104,5.906905873,80673888.0
-190,Iraq,205,1993,1993,1,11,11.0,6.947431332666667,6.484351474,0.9333451693881053,,18955087.0
-197,Iraq,338,1991,1991,1,1,1.0,6.705278277,6.657921723,0.9929374215291796,,17889457.0
-198,Iraq,338,1993,1993,1,22,22.0,6.947431332666667,6.484351474,0.9333451693881053,,18955087.0
 207,Israel,234,2000,2012,13,4045,311.15384615384613,2.4030700946,1.4340472048,0.5967562943846224,6.113175523,7910500.0
 208,Israel,234,2014,2014,1,2370,2370.0,1.866156185,1.400899807,0.750687331671545,6.032096376,8215700.0
 211,Israel,426,2006,2006,1,219,219.0,2.8707238696000004,1.9377552427999998,0.6750057932496314,6.178188546,7053700.0
@@ -70,72 +39,38 @@
 221,Kyrgyz Republic,415,1999,2000,2,188,94.0,10.6436834502,8.475707348,0.7963133615967072,6.854248582,4898400.0
 228,Lebanon,13675,2014,2015,2,202,101.0,3.4055137095999997,2.8289870901999996,0.8307078847532471,5.911968893,6532681.0
 229,Lebanon,13675,2017,2017,1,70,70.0,3.6727600445999995,2.3458544086666664,0.6387170357387597,5.906905873,6819373.0
-240,North Macedonia,417,2001,2001,1,72,72.0,2.190837772,2.73724338225,1.2494048702434002,6.943723418,2034882.0
-254,Mexico,400,1994,1994,1,145,145.0,18.0279902125,14.741932151999999,0.8177246591679664,,90156396.0
-255,Mexico,400,1996,1996,1,37,37.0,17.889392268,12.443294378,0.6955683117451779,,93147045.0
-256,Moldova,394,1992,1992,1,585,585.0,6.6356965025,9.248064578200001,1.3936840804451787,,2977130.0
-263,Myanmar,221,1994,1995,2,135,67.5,4.949777899,2.228182211,0.45015801849415465,,43901598.0
-264,Myanmar,221,1997,1998,2,77,38.5,3.67412594,1.86524843175,0.5076713379482033,,45611220.0
 265,Myanmar,221,2000,2011,12,1073,89.41666666666667,3.67412594,2.3956923606,0.6520441595423373,6.083969712,50990612.0
 266,Myanmar,221,2013,2013,1,41,41.0,1.9556972714,2.2659629503333334,1.15864708892866,6.032025006,51852464.0
-268,Myanmar,222,1994,1994,1,25,25.0,4.949777899,3.67412594,0.7422809699688305,,43383421.0
 269,Myanmar,222,2013,2015,3,172,57.333333333333336,1.9556972714,1.1338204239999998,0.5797525213032313,5.911968893,52680724.0
-270,Myanmar,222,2017,2019,3,141,47.0,2.3956923606,0.009189522,0.0038358522785031084,5.564134104,54045422.0
-271,Myanmar,223,1991,1991,1,25,25.0,4.949777899,3.67412594,0.7422809699688305,,41890192.0
-272,Myanmar,223,1994,1994,1,109,109.0,4.949777899,3.67412594,0.7422809699688305,,43383421.0
-275,Myanmar,224,1996,1996,1,80,80.0,3.67412594,2.083913966,0.5671863186050721,,44452203.0
-277,Myanmar,231,2011,2019,9,1391,154.55555555555554,1.6003813411999999,0.009189522,0.00574208269205982,5.564134104,54045422.0
-278,Myanmar,253,1992,1992,1,404,404.0,4.949777899,3.67412594,0.7422809699688305,,42401686.0
-279,Myanmar,253,1996,1996,1,124,124.0,3.67412594,2.083913966,0.5671863186050721,,44452203.0
 280,Myanmar,253,2005,2005,1,32,32.0,1.798183639,1.6003813411999999,0.8899988335396037,6.293981484,48949931.0
-281,Myanmar,264,1993,2002,10,1402,140.2,4.949777899,1.5166260056,0.30640283999538703,6.906000623,47702163.0
 282,Myanmar,264,2005,2011,7,393,56.142857142857146,1.798183639,2.3956923606,1.3322845946547954,6.083969712,50990612.0
 283,Myanmar,264,2013,2013,1,83,83.0,1.9556972714,2.2659629503333334,1.15864708892866,6.032025006,51852464.0
 284,Myanmar,264,2015,2015,1,77,77.0,2.2370477533999997,1.1338204239999998,0.5068378277918973,5.911968893,52680724.0
-285,Myanmar,422,1997,1997,1,130,130.0,3.67412594,1.9580831683333333,0.5329385002881347,,45027223.0
 286,Myanmar,439,2009,2009,1,78,78.0,1.5161230140000002,2.2370477533999997,1.4755054390329303,6.066836418,50250366.0
 287,Myanmar,439,2014,2015,2,371,185.5,2.116360067,1.1338204239999998,0.5357407946215986,5.911968893,52680724.0
-288,Myanmar,439,2017,2017,1,35,35.0,2.3956923606,0.009189522,0.0038358522785031084,5.906905873,53382521.0
-289,Myanmar,11475,1991,1991,1,150,150.0,4.949777899,3.67412594,0.7422809699688305,,41890192.0
-290,Myanmar,11475,1995,1995,1,33,33.0,4.949777899,2.228182211,0.45015801849415465,,43901598.0
-291,Myanmar,11475,2000,2001,2,102,51.0,3.67412594,1.5560249210000001,0.4235088688876027,6.943723418,47225119.0
 292,Myanmar,11475,2005,2007,3,345,115.0,1.798183639,1.9556972714,1.0875959657199397,6.012406023,49621479.0
-293,Namibia,327,1998,2002,5,63,12.6,21.130976846666666,18.45118064,0.8731816221222449,6.906000623,1851519.0
-308,Pakistan,218,1994,1994,1,36,36.0,7.62578613,7.1363354185,0.9358163600242484,,120362764.0
 311,Pakistan,325,2004,2004,1,43,43.0,6.398900105800001,6.5320765162,1.0208123909106328,6.504204151,156664698.0
 312,Pakistan,325,2006,2009,4,561,140.25,6.2489576067999995,7.2777356564,1.1646319457313175,6.066836418,175525610.0
 313,Pakistan,325,2011,2016,6,496,82.66666666666667,6.781900508600001,3.863047232,0.5696113098535348,5.947845376,203631356.0
-317,Pakistan,404,1994,1996,3,132,44.0,7.62578613,6.851538349,0.89846977507616,,127349293.0
 318,Pakistan,418,2001,2017,17,2181,128.2941176470588,6.960406795199999,3.83042276,0.5503159330632107,5.906905873,207906210.0
 319,Pakistan,13936,2016,2019,4,228,57.0,6.7588063084,3.843501475,0.5686657228545237,5.564134104,216565317.0
-329,Philippines,209,1997,1997,1,32,32.0,11.286165279666667,7.6285431377999995,0.6759198495474545,,73030879.0
-338,Russian Federation,399,1993,1993,1,145,145.0,17.496483166666668,27.132408251999998,1.5507349673385313,,148458777.0
-339,Russian Federation,401,1994,1996,3,4704,1568.0,20.7146842,25.994830316,1.2548987020521414,,148160129.0
 340,Russian Federation,401,1999,2007,9,13474,1497.111111111111,27.132408251999998,11.837778168,0.43629662571981265,6.012406023,142805114.0
-341,Russian Federation,414,1999,1999,1,85,85.0,27.132408251999998,28.819494582000004,1.06217974882033,,147214776.0
 342,Russian Federation,432,2007,2015,9,2943,327.0,26.303401566,8.6545889412,0.3290292671647075,5.911968893,144096870.0
 343,Russian Federation,13247,2014,2014,1,1,1.0,11.52020351,9.4848249898,0.8233209579645698,6.032096376,143819667.0
 345,Rwanda,283,2011,2014,4,3,0.75,2.70695358425,2.577168608,0.9520549679886888,6.032096376,11083629.0
 348,Rwanda,374,2009,2012,4,11,2.75,2.64307228,3.253082125,1.2307957484234975,6.113175523,10549668.0
 351,Saudi Arabia,418,2001,2017,17,102,6.0,0.874174528,0.7481504585000001,0.8558364886376558,5.906905873,33101183.0
-377,Spain,342,1991,1991,1,44,44.0,1.234507228,1.0852609644,0.8791045850401452,,38966376.0
 380,Sri Lanka,352,2003,2003,1,29,29.0,10.28221547,8.877556426333333,0.8633894565072106,6.729341778,19224036.0
-397,Tajikistan,395,1992,1998,7,8601,1228.7142857142858,2.9599706225,3.8763108434,1.3095774714568134,,6027395.0
 398,Tajikistan,395,2000,2000,1,46,46.0,7.6366523506,2.6878395171999996,0.35196567734143613,6.854248582,6216329.0
 400,Tajikistan,415,1999,2000,2,3,1.5,8.7096859322,2.6878395171999996,0.30860349478997484,6.854248582,6216329.0
 404,Thailand,253,2005,2005,1,3,3.0,7.9386936422000005,6.1543772198,0.775238029980771,6.293981484,65416189.0
-405,Thailand,264,1993,2002,10,25,2.5,9.838479113,7.5423137026000004,0.7666137840994165,6.906000623,64069093.0
-409,Tunisia,343,2013,2015,3,136,45.333333333333336,2.71528754775,4.81887699,1.7747206898927228,5.911968893,11179951.0
-410,Tunisia,14333,2016,2016,1,71,71.0,3.060756101,4.81887699,1.574407378760298,5.947845376,11303942.0
 414,Turkiye,383,2005,2005,1,30,30.0,4.320607217999999,4.66034574,1.078632123879399,6.293981484,67903461.0
 415,Turkiye,383,2016,2016,1,434,434.0,3.773985048666667,2.6592390495,0.7046236313096943,5.947845376,79827868.0
 417,Turkiye,432,2007,2015,9,3,0.3333333333333333,4.5289905372499994,2.8048488914,0.6193099474001336,5.911968893,78529413.0
 418,Turkiye,13902,2015,2017,3,71,23.666666666666668,4.237401288666667,2.501474233333333,0.5903321547628175,5.906905873,81116451.0
 423,Ukraine,13219,2014,2014,1,88,88.0,4.784429494,6.183730571,1.2924697874124425,6.032096376,45272155.0
 424,Ukraine,13246,2014,2014,1,1861,1861.0,4.784429494,6.183730571,1.2924697874124425,6.032096376,45272155.0
 425,Ukraine,13247,2014,2014,1,1070,1070.0,4.784429494,6.183730571,1.2924697874124425,6.032096376,45272155.0
-427,United Kingdom,315,1998,1998,1,29,29.0,1.5219737947999998,1.6348459588000002,1.074161700014574,,58487141.0
 428,United States,418,2001,2017,17,233,13.705882352941176,6.259152821600001,5.529331947999999,0.883399416118835,5.906905873,325122128.0
 429,Uzbekistan,415,1999,2000,2,347,173.5,4.877556530999999,3.8675664538,0.7929311386181043,6.854248582,24650400.0
 430,Uzbekistan,415,2004,2004,1,37,37.0,4.1341720318,3.16481964175,0.7655268376367133,6.504204151,25864350.0
-431,"Venezuela, RB",277,1992,1992,1,144,144.0,12.52574598,20.711095916,1.6534820320537909,,20557694.0