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churn_data_before_processing.csv
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churn_data_before_processing.csv
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,RowNumber,CustomerId,Surname,CreditScore,Geography,Gender,Age,Tenure,Balance,NumOfProducts,HasCrCard,IsActiveMember,EstimatedSalary,Exited
0,1,15634602,Hargrave,619.0,France,Female,42.0,2.0,0.0,1.0,1.0,1.0,101348.88,1
1,2,15647311,Hill,608.0,Spain,Female,41.0,1.0,83807.86,1.0,0.0,1.0,112542.58,0
2,3,15619304,Onio,502.0,France,Female,42.0,8.0,159660.8,3.0,1.0,0.0,113931.57,1
3,4,15701354,Boni,699.0,France,Female,39.0,1.0,0.0,2.0,0.0,,93826.63,0
4,5,15737888,Mitchell,850.0,Spain,Female,43.0,2.0,125510.82,1.0,1.0,1.0,79084.1,0
5,6,15574012,Chu,645.0,Spain,Male,44.0,8.0,113755.78,2.0,1.0,0.0,149756.71,1
6,7,15592531,Bartlett,822.0,France,Male,50.0,7.0,0.0,2.0,1.0,1.0,10062.8,0
7,8,15656148,Obinna,376.0,Germany,Female,29.0,4.0,115046.74,4.0,1.0,0.0,119346.88,1
8,9,15792365,He,501.0,France,Male,44.0,4.0,142051.07,2.0,0.0,1.0,74940.5,0
9,10,15592389,,684.0,France,Male,27.0,2.0,134603.88,1.0,1.0,1.0,71725.73,0
10,11,15767821,Bearce,528.0,France,Male,31.0,6.0,102016.72,2.0,0.0,0.0,80181.12,0
11,12,15737173,Andrews,497.0,Spain,Male,24.0,3.0,0.0,2.0,1.0,0.0,76390.01,0
12,13,15632264,Kay,476.0,France,Female,34.0,10.0,0.0,2.0,1.0,0.0,26260.98,0
13,14,15691483,Chin,549.0,,Female,25.0,5.0,0.0,2.0,0.0,0.0,190857.79,0
14,15,15600882,Scott,635.0,Spain,Female,35.0,7.0,0.0,2.0,1.0,1.0,65951.65,0
15,16,15643966,Goforth,616.0,Germany,Male,45.0,3.0,143129.41,2.0,0.0,1.0,64327.26,0
16,17,15737452,Romeo,653.0,Germany,Male,58.0,1.0,132602.88,1.0,1.0,0.0,5097.67,1
17,18,15788218,Henderson,549.0,Spain,Female,24.0,9.0,0.0,2.0,1.0,1.0,14406.41,0
18,19,15661507,Muldrow,587.0,Spain,Male,45.0,6.0,,1.0,0.0,0.0,158684.81,0
19,20,15568982,Hao,726.0,France,Female,24.0,6.0,0.0,2.0,1.0,1.0,54724.03,0
20,21,15577657,McDonald,732.0,France,Male,41.0,8.0,0.0,2.0,1.0,1.0,170886.17,0
21,22,15597945,Dellucci,636.0,Spain,Female,32.0,8.0,0.0,2.0,1.0,0.0,138555.46,0
22,23,15699309,Gerasimov,510.0,Spain,Female,38.0,4.0,0.0,1.0,1.0,0.0,118913.53,1
23,24,15725737,Mosman,669.0,France,Male,46.0,3.0,0.0,2.0,0.0,1.0,8487.75,0
24,25,15625047,Yen,846.0,France,Female,38.0,5.0,0.0,1.0,1.0,1.0,187616.16,0
25,26,15738191,Maclean,577.0,France,Male,25.0,3.0,0.0,,0.0,1.0,124508.29,0
26,27,15736816,Young,756.0,,Male,36.0,2.0,136815.64,,1.0,1.0,170041.95,0
27,28,15700772,Nebechi,571.0,France,Male,44.0,9.0,0.0,2.0,0.0,0.0,38433.35,0
28,29,15728693,McWilliams,574.0,Germany,Female,43.0,3.0,141349.43,1.0,1.0,1.0,100187.43,0
29,30,15656300,Lucciano,411.0,France,Male,29.0,0.0,59697.17,2.0,1.0,1.0,53483.21,0
30,31,15589475,Azikiwe,591.0,Spain,Female,39.0,3.0,0.0,3.0,1.0,0.0,140469.38,1
31,32,15706552,Odinakachukwu,533.0,France,Male,36.0,7.0,85311.7,1.0,0.0,1.0,156731.91,0
32,33,15750181,Sanderson,553.0,Germany,Male,41.0,9.0,110112.54,2.0,0.0,0.0,81898.81,0
33,34,15659428,Maggard,520.0,Spain,Female,42.0,6.0,0.0,2.0,1.0,1.0,34410.55,0
34,35,15732963,Clements,722.0,Spain,Female,29.0,9.0,0.0,2.0,1.0,1.0,142033.07,0
35,36,15794171,Lombardo,475.0,France,Female,45.0,0.0,134264.04,1.0,1.0,0.0,27822.99,1
36,37,15788448,Watson,490.0,Spain,Male,31.0,3.0,,1.0,0.0,1.0,114066.77,0
37,38,15729599,Lorenzo,804.0,Spain,Male,33.0,7.0,76548.6,1.0,0.0,1.0,98453.45,0
38,39,15717426,Armstrong,850.0,France,Male,36.0,7.0,0.0,1.0,1.0,1.0,40812.9,0
39,40,15585768,Cameron,582.0,Germany,Male,41.0,6.0,70349.48,2.0,0.0,1.0,178074.04,0
40,41,15619360,Hsiao,472.0,Spain,Male,40.0,4.0,0.0,1.0,1.0,0.0,70154.22,0
41,42,15738148,Clarke,465.0,France,Female,51.0,8.0,122522.32,1.0,0.0,0.0,181297.65,1
42,43,15687946,Osborne,556.0,France,Female,61.0,2.0,117419.35,1.0,1.0,1.0,94153.83,0
43,44,15755196,Lavine,834.0,France,Female,49.0,2.0,131394.56,1.0,0.0,0.0,194365.76,1
44,45,15684171,Bianchi,660.0,Spain,Female,61.0,5.0,155931.11,1.0,1.0,1.0,158338.39,0
45,46,15754849,Tyler,776.0,Germany,Female,32.0,4.0,109421.13,2.0,1.0,1.0,126517.46,0
46,47,15602280,Martin,829.0,Germany,Female,27.0,9.0,112045.67,1.0,1.0,1.0,119708.21,1
47,48,15771573,Okagbue,637.0,Germany,Female,39.0,,137843.8,1.0,1.0,1.0,117622.8,1
48,49,15766205,Yin,550.0,Germany,Male,38.0,2.0,103391.38,1.0,0.0,1.0,90878.13,0
49,50,15771873,Buccho,776.0,Germany,Female,37.0,2.0,103769.22,2.0,1.0,0.0,194099.12,0
50,51,15616550,Chidiebele,698.0,Germany,Male,44.0,10.0,116363.37,2.0,1.0,0.0,198059.16,0
51,52,15768193,Trevisani,585.0,Germany,Male,36.0,5.0,146050.97,2.0,0.0,0.0,86424.57,0
52,53,15683553,O'Brien,788.0,France,Female,33.0,5.0,0.0,2.0,0.0,0.0,116978.19,0
53,54,15702298,Parkhill,655.0,Germany,Male,41.0,8.0,125561.97,1.0,0.0,0.0,164040.94,1
54,55,15569590,Yoo,601.0,Germany,Male,42.0,1.0,98495.72,1.0,1.0,0.0,40014.76,1
55,56,15760861,Phillipps,619.0,France,Male,43.0,1.0,125211.92,1.0,1.0,1.0,113410.49,0
56,57,15630053,Tsao,656.0,France,Male,45.0,5.0,127864.4,1.0,1.0,0.0,87107.57,0
57,58,15647091,Endrizzi,725.0,Germany,Male,19.0,0.0,75888.2,1.0,0.0,0.0,45613.75,0
58,59,15623944,T'ien,511.0,Spain,Female,66.0,4.0,0.0,1.0,1.0,0.0,1643.11,1
59,60,15804771,Velazquez,614.0,France,Male,51.0,4.0,40685.92,1.0,1.0,1.0,46775.28,0
60,61,15651280,Hunter,742.0,Germany,Male,35.0,5.0,136857.0,,0.0,0.0,84509.57,0
61,62,15773469,Clark,687.0,Germany,Female,27.0,9.0,152328.88,2.0,0.0,0.0,126494.82,0
62,63,15702014,Jeffrey,555.0,Spain,Male,33.0,1.0,56084.69,2.0,0.0,0.0,178798.13,0
63,64,15751208,Pirozzi,684.0,Spain,Male,56.0,8.0,78707.16,1.0,1.0,1.0,99398.36,0
64,65,15592461,Jackson,603.0,Germany,Male,26.0,4.0,109166.37,1.0,1.0,1.0,92840.67,0
65,66,15789484,Hammond,751.0,Germany,Female,36.0,,169831.46,2.0,1.0,1.0,27758.36,0
66,67,15696061,Brownless,581.0,Germany,Female,34.0,1.0,101633.04,1.0,1.0,0.0,110431.51,0
67,68,15641582,Chibugo,735.0,Germany,Male,43.0,10.0,,2.0,1.0,1.0,196673.28,0
68,69,15638424,Glauert,661.0,Germany,Female,35.0,5.0,150725.53,2.0,0.0,1.0,113656.85,0
69,70,15755648,Pisano,675.0,France,Female,21.0,8.0,98373.26,1.0,1.0,0.0,18203.0,0
70,71,15703793,Konovalova,738.0,Germany,Male,58.0,2.0,133745.44,,1.0,0.0,28373.86,1
71,72,15620344,McKee,813.0,France,Male,29.0,6.0,0.0,1.0,1.0,0.0,33953.87,0
72,73,15812518,Palermo,657.0,Spain,Female,37.0,0.0,163607.18,1.0,0.0,1.0,44203.55,0
73,74,15779052,Ballard,604.0,Germany,Female,25.0,5.0,157780.84,2.0,1.0,1.0,58426.81,0
74,75,15770811,Wallace,519.0,France,Male,36.0,9.0,0.0,2.0,0.0,1.0,145562.4,0
75,76,15780961,Cavenagh,735.0,France,Female,21.0,1.0,178718.19,2.0,1.0,0.0,22388.0,0
76,77,15614049,Hu,664.0,France,Male,55.0,8.0,0.0,2.0,1.0,1.0,139161.64,0
77,78,15662085,Read,678.0,France,Female,32.0,9.0,0.0,1.0,1.0,1.0,148210.64,0
78,79,15575185,Bushell,757.0,Spain,Male,33.0,5.0,77253.22,1.0,0.0,1.0,194239.63,0
79,80,15803136,Postle,416.0,Germany,Female,41.0,10.0,122189.66,2.0,1.0,0.0,98301.61,0
80,81,15706021,Buley,,France,Female,34.0,1.0,96645.54,2.0,0.0,0.0,171413.66,0
81,82,15663706,Leonard,777.0,France,Female,32.0,2.0,0.0,,1.0,0.0,136458.19,1
82,83,15641732,Mills,543.0,France,Female,36.0,3.0,0.0,2.0,0.0,0.0,26019.59,0
83,84,15701164,Onyeorulu,506.0,France,Female,34.0,4.0,90307.62,1.0,1.0,1.0,159235.29,0
84,85,15738751,Beit,493.0,France,Female,46.0,4.0,0.0,2.0,1.0,0.0,1907.66,0
85,86,15805254,Ndukaku,652.0,Spain,Female,75.0,10.0,0.0,2.0,1.0,1.0,114675.75,0
86,87,15762418,Gant,750.0,Spain,Male,22.0,3.0,121681.82,1.0,1.0,0.0,128643.35,1
87,88,15625759,Rowley,729.0,France,Male,30.0,9.0,0.0,2.0,1.0,0.0,151869.35,0
88,89,15622897,Sharpe,646.0,France,Female,46.0,4.0,0.0,3.0,1.0,0.0,93251.42,1
89,90,15767954,Osborne,635.0,Germany,Female,,3.0,81623.67,2.0,1.0,1.0,156791.36,0
90,91,15757535,Heap,647.0,Spain,Female,44.0,5.0,0.0,3.0,1.0,1.0,174205.22,1
91,92,15731511,Ritchie,808.0,France,Male,45.0,7.0,,2.0,1.0,0.0,147132.46,0
92,93,15809248,Cole,524.0,France,Female,36.0,10.0,0.0,2.0,1.0,0.0,109614.57,0
93,94,15640635,Capon,769.0,France,Male,29.0,8.0,0.0,2.0,1.0,1.0,172290.61,0
94,95,15676966,Capon,730.0,Spain,,42.0,4.0,0.0,2.0,0.0,1.0,85982.47,0
95,96,15699461,Fiorentini,515.0,Spain,Male,35.0,10.0,176273.95,1.0,0.0,1.0,121277.78,0
96,97,15738721,Graham,773.0,Spain,Male,41.0,9.0,102827.44,1.0,0.0,1.0,64595.25,0
97,98,15693683,Yuille,814.0,Germany,Male,29.0,8.0,97086.4,2.0,1.0,1.0,197276.13,0
98,99,15604348,Allard,710.0,Spain,Male,22.0,8.0,0.0,2.0,,0.0,99645.04,0
99,100,15633059,Fanucci,413.0,France,Male,34.0,9.0,0.0,2.0,0.0,0.0,6534.18,0
100,101,15808582,Fu,665.0,France,Female,40.0,6.0,0.0,1.0,1.0,1.0,161848.03,0
101,102,15743192,Hung,623.0,France,Female,44.0,6.0,0.0,2.0,0.0,0.0,167162.43,0
102,103,15580146,Hung,738.0,France,Male,31.0,9.0,82674.15,1.0,1.0,0.0,,0
103,104,15776605,Bradley,528.0,Spain,Male,36.0,7.0,0.0,2.0,1.0,0.0,60536.56,0
104,105,15804919,Dunbabin,670.0,Spain,Female,65.0,1.0,0.0,1.0,1.0,1.0,177655.68,1
105,106,15613854,Mauldon,622.0,Spain,,46.0,4.0,107073.27,2.0,1.0,1.0,30984.59,1
106,107,15599195,Stiger,582.0,Germany,Male,,1.0,88938.62,1.0,1.0,1.0,10054.53,0
107,108,15812878,Parsons,785.0,Germany,Female,36.0,2.0,99806.85,1.0,0.0,1.0,36976.52,0
108,109,15602312,Walkom,605.0,Spain,Male,33.0,5.0,150092.8,1.0,0.0,0.0,71862.79,0
109,110,15744689,T'ang,479.0,Germany,Male,35.0,9.0,92833.89,1.0,1.0,0.0,99449.86,1
110,111,15803526,Eremenko,685.0,Germany,Male,30.0,3.0,90536.81,1.0,0.0,1.0,63082.88,0
111,112,15665790,Rowntree,538.0,Germany,Male,39.0,7.0,108055.1,2.0,1.0,0.0,27231.26,0
112,113,15715951,Thorpe,562.0,France,Male,42.0,2.0,100238.35,1.0,0.0,0.0,86797.41,0
113,114,15591100,Chiemela,675.0,Spain,Male,36.0,9.0,106190.55,1.0,0.0,1.0,22994.32,0
114,115,15609618,Fanucci,721.0,Germany,Male,28.0,9.0,154475.54,,0.0,,101300.94,1
115,116,15675522,Ko,628.0,Germany,Female,30.0,9.0,132351.29,2.0,1.0,1.0,74169.13,0
116,117,15705512,Welch,668.0,Germany,Female,37.0,6.0,167864.4,1.0,1.0,0.0,115638.29,0
117,118,15698028,Duncan,506.0,France,Female,41.0,1.0,0.0,2.0,1.0,0.0,31766.3,0
118,119,15661670,Chidozie,524.0,Germany,Female,31.0,8.0,107818.63,1.0,1.0,0.0,199725.39,1
119,120,15600781,Wu,699.0,Germany,,34.0,4.0,185173.81,2.0,1.0,0.0,120834.48,0
120,121,15682472,Culbreth,828.0,France,Male,34.0,8.0,129433.34,2.0,0.0,0.0,38131.77,0
121,122,15580203,Kennedy,674.0,Spain,Male,39.0,6.0,120193.42,1.0,0.0,0.0,100130.95,0
122,123,15690673,Cameron,656.0,France,Female,39.0,6.0,0.0,2.0,1.0,0.0,141069.88,0
123,124,15760085,Calabresi,684.0,Germany,Female,48.0,10.0,126384.42,1.0,1.0,1.0,198129.36,0
124,125,15779659,Zetticci,625.0,France,Female,28.0,3.0,0.0,1.0,0.0,0.0,183646.41,0
125,126,15627360,Fuller,432.0,France,Male,42.0,,152603.45,1.0,1.0,0.0,110265.24,1
126,127,15671137,MacDonald,549.0,France,Female,52.0,1.0,0.0,1.0,0.0,1.0,8636.05,1
127,128,15782688,Piccio,625.0,,Male,56.0,0.0,148507.24,1.0,1.0,0.0,46824.08,1
128,129,15575492,Kennedy,828.0,,Female,41.0,7.0,0.0,2.0,1.0,0.0,171378.77,0
129,130,15591607,Fernie,770.0,France,Male,24.0,9.0,101827.07,1.0,1.0,0.0,167256.35,0
130,131,15740404,He,758.0,France,Female,34.0,3.0,0.0,2.0,1.0,1.0,124226.16,0
131,132,15718369,Kaodilinakachukwu,795.0,Germany,Female,33.0,9.0,130862.43,1.0,1.0,1.0,114935.21,0
132,133,15677871,Cocci,687.0,France,Male,38.0,9.0,122570.87,1.0,1.0,1.0,35608.88,0
133,134,15642004,Alekseeva,686.0,France,Male,25.0,1.0,0.0,2.0,0.0,1.0,16459.37,0
134,135,15712543,Chinweike,789.0,Germany,Male,39.0,7.0,124828.46,2.0,1.0,1.0,124411.08,0
135,136,15584518,Arthur,589.0,Germany,Female,50.0,5.0,144895.05,2.0,1.0,1.0,34941.23,0
136,137,15802381,Li,461.0,Germany,Female,34.0,5.0,63663.93,1.0,0.0,1.0,167784.28,0
137,138,15610156,Ma,637.0,France,Male,40.0,2.0,133463.1,1.0,0.0,1.0,93165.34,0
138,139,15594408,Chia,584.0,Spain,Female,48.0,2.0,213146.2,1.0,1.0,0.0,75161.25,1
139,140,15640905,Vasin,579.0,Spain,Female,35.0,1.0,129490.36,2.0,0.0,1.0,8590.83,1
140,141,15698932,Groves,756.0,Germany,Male,44.0,10.0,137452.09,1.0,1.0,0.0,189543.9,0
141,142,15724944,Tien,663.0,France,Male,34.0,7.0,0.0,2.0,1.0,1.0,180427.24,0
142,143,15628145,Forwood,682.0,France,Female,43.0,5.0,125851.93,1.0,1.0,1.0,193318.33,0
143,144,15713483,Greeves,793.0,Spain,Male,52.0,2.0,0.0,1.0,1.0,0.0,159123.82,1
144,145,15612350,Taylor,691.0,France,Female,,5.0,40915.55,1.0,1.0,0.0,126213.84,1
145,146,15800703,Madukwe,485.0,Spain,Female,,5.0,113157.22,1.0,1.0,1.0,54141.5,0
146,147,15705707,Bennelong,635.0,Spain,Female,29.0,8.0,138296.94,2.0,1.0,0.0,141075.51,0
147,148,15754105,Olisanugo,650.0,France,Male,37.0,5.0,106967.18,1.0,0.0,0.0,24495.03,0
148,149,15703264,Chukwufumnanya,735.0,France,Male,44.0,9.0,120681.63,1.0,1.0,0.0,74836.34,0
149,150,15794413,Harris,416.0,France,Male,32.0,0.0,0.0,2.0,0.0,1.0,878.87,0
150,151,15650237,Morgan,754.0,Spain,Female,32.0,7.0,0.0,2.0,1.0,0.0,89520.75,0
151,152,15759618,Alexeeva,535.0,France,Female,48.0,9.0,0.0,1.0,1.0,0.0,149892.79,1
152,153,15811589,Metcalfe,716.0,Spain,Male,42.0,8.0,0.0,2.0,1.0,0.0,180800.42,0
153,154,15689044,Humphries,539.0,France,Male,37.0,2.0,127609.59,1.0,1.0,0.0,98646.22,0
154,155,15709368,Milne,614.0,France,Female,43.0,6.0,0.0,2.0,1.0,1.0,109041.53,0
155,156,15679145,Chou,706.0,Spain,Male,57.0,7.0,0.0,1.0,1.0,0.0,17941.16,1
156,157,15655007,Li,758.0,France,Female,33.0,7.0,0.0,2.0,0.0,0.0,82996.47,0
157,158,15623595,Clayton,586.0,Spain,,28.0,2.0,0.0,2.0,1.0,1.0,92067.35,0
158,159,15589975,Maclean,646.0,France,Female,73.0,6.0,97259.25,1.0,0.0,1.0,104719.66,0
159,160,15804017,Chigolum,631.0,Germany,Female,33.0,4.0,123246.7,1.0,0.0,0.0,112687.57,0
160,161,15692132,Wilkinson,717.0,Spain,Female,22.0,6.0,101060.25,1.0,0.0,1.0,84699.56,0
161,162,15641122,Wei,684.0,France,Male,30.0,2.0,0.0,,1.0,0.0,83473.82,0
162,163,15630910,Treacy,800.0,France,Female,49.0,7.0,108007.36,1.0,0.0,0.0,47125.11,0
163,164,15680772,Hu,721.0,Spain,Female,36.0,2.0,0.0,2.0,1.0,1.0,106977.8,0
164,165,15658929,Taverner,683.0,Spain,Male,29.0,0.0,133702.89,1.0,1.0,0.0,55582.54,1
165,166,15585388,Sherman,660.0,Germany,Male,31.0,,125189.75,2.0,1.0,1.0,139874.43,0
166,167,15724623,Taubman,704.0,Germany,Female,24.0,7.0,113034.22,1.0,1.0,0.0,162503.48,1
167,168,15588537,Robinson,615.0,Spain,Female,41.0,9.0,109013.23,1.0,1.0,0.0,196499.96,0
168,169,15574692,Pinto,667.0,Spain,Female,39.0,2.0,0.0,2.0,1.0,0.0,40721.24,1
169,170,15611325,Wood,682.0,Germany,Male,24.0,9.0,57929.81,2.0,0.0,0.0,53134.3,0
170,171,15587562,Hawkins,484.0,France,Female,29.0,4.0,130114.39,1.0,1.0,0.0,164017.89,0
171,172,15613172,Sun,628.0,Germany,Male,27.0,5.0,95826.49,2.0,1.0,0.0,155996.96,0
172,173,15651022,Yost,480.0,Germany,Male,44.0,10.0,129608.57,1.0,1.0,0.0,5472.7,1
173,174,15586310,Ting,578.0,France,Male,30.0,4.0,169462.09,1.0,1.0,0.0,112187.11,0
174,175,15625524,Rowe,512.0,France,Male,40.0,5.0,0.0,2.0,1.0,1.0,146457.83,0
175,176,15755209,Fu,484.0,Spain,Female,35.0,7.0,133868.21,1.0,1.0,1.0,27286.1,0
176,177,15645248,Ho,510.0,France,Female,30.0,0.0,0.0,2.0,1.0,1.0,130553.47,0
177,178,15790355,Okechukwu,606.0,Germany,Male,36.0,5.0,190479.48,2.0,0.0,0.0,179351.89,0
178,179,15762615,Campbell,597.0,Spain,Female,40.0,8.0,101993.12,1.0,0.0,1.0,94774.12,0
179,180,15625426,Ashbolt,754.0,Germany,Female,55.0,3.0,161608.81,1.0,1.0,0.0,8080.85,1
180,181,15716334,Rozier,850.0,Spain,Female,45.0,2.0,122311.21,1.0,1.0,1.0,19482.5,0
181,182,15789669,Hsia,510.0,France,Male,65.0,2.0,0.0,2.0,1.0,1.0,48071.61,0
182,183,15621075,Ogbonnaya,778.0,Germany,Female,45.0,1.0,162150.42,2.0,1.0,0.0,174531.27,0
183,184,15810845,T'ang,636.0,France,Male,42.0,2.0,0.0,2.0,1.0,1.0,55470.78,0
184,185,15719377,Cocci,804.0,France,Female,50.0,4.0,0.0,1.0,1.0,1.0,8546.87,1
185,186,15654506,Chang,514.0,France,Male,32.0,8.0,0.0,2.0,1.0,0.0,95857.18,0
186,187,15771977,T'ao,730.0,France,Female,39.0,1.0,99010.67,1.0,1.0,0.0,194945.8,0
187,188,15708710,Ford,525.0,Spain,Female,37.0,0.0,0.0,1.0,,1.0,131521.72,0
188,189,15726676,Marshall,616.0,Spain,Male,30.0,5.0,0.0,2.0,0.0,1.0,196108.51,0
189,190,15587421,Tsai,687.0,Germany,Female,34.0,7.0,111388.18,2.0,1.0,0.0,148564.76,0
190,191,15726931,Onwumelu,715.0,France,Female,41.0,8.0,56214.85,2.0,0.0,0.0,92982.61,1
191,192,15771086,Graham,512.0,France,Female,36.0,3.0,84327.77,2.0,1.0,0.0,17675.36,0
192,193,15756850,Golovanov,479.0,France,Male,40.0,1.0,0.0,2.0,0.0,0.0,114996.43,0
193,194,15702741,Potts,601.0,France,Male,32.0,8.0,93012.89,1.0,1.0,0.0,86957.42,0
194,195,15679200,Crawford,580.0,Spain,Male,29.0,9.0,61710.44,2.0,1.0,0.0,128077.8,0
195,196,15594815,Aleshire,807.0,France,Male,35.0,3.0,174790.15,1.0,1.0,1.0,600.36,0
196,197,15635905,Moran,616.0,Spain,Female,32.0,6.0,0.0,2.0,1.0,1.0,43001.46,0
197,198,15777892,Samsonova,721.0,Germany,Male,37.0,3.0,107720.64,1.0,1.0,1.0,158591.12,0
198,199,15656176,Jenkins,501.0,France,Male,57.0,10.0,0.0,2.0,1.0,1.0,47847.19,0
199,200,15811127,Volkov,521.0,France,Male,35.0,6.0,96423.84,1.0,1.0,0.0,10488.44,0
200,201,15604482,Chiemezie,850.0,Spain,Male,30.0,2.0,141040.01,1.0,1.0,1.0,5978.2,0
201,202,15622911,Jude,759.0,France,Male,42.0,4.0,105420.18,1.0,0.0,1.0,121409.06,0
202,203,15600974,He,516.0,Spain,Male,50.0,5.0,0.0,1.0,0.0,,146145.93,1
203,204,15727868,Onuora,711.0,France,Female,38.0,2.0,129022.06,2.0,1.0,1.0,14374.86,1
204,205,15627801,Ginikanwa,512.0,Spain,Male,33.0,3.0,176666.62,1.0,1.0,0.0,94670.77,0
205,206,15773039,Ku,550.0,France,,37.0,3.0,0.0,1.0,1.0,1.0,179670.31,0
206,207,15755262,McDonald,608.0,Spain,Female,,3.0,89763.84,1.0,0.0,0.0,199304.74,1
207,208,15679531,Collins,618.0,France,Male,34.0,5.0,134954.53,1.0,1.0,1.0,151954.39,0
208,209,15684181,Hackett,643.0,France,Male,45.0,,0.0,1.0,1.0,0.0,142513.5,1
209,210,15612087,Dike,671.0,France,Male,45.0,2.0,106376.85,1.0,0.0,1.0,158264.62,0
210,211,15752047,Trevisano,689.0,Germany,Male,33.0,2.0,161814.64,2.0,1.0,0.0,169381.9,0
211,212,15624592,Tan,603.0,France,Male,31.0,8.0,0.0,2.0,1.0,1.0,169915.02,0
212,213,15573152,Glassman,620.0,France,Female,41.0,9.0,0.0,2.0,0.0,0.0,88852.47,0
213,214,15594917,Miller,676.0,France,Female,34.0,1.0,63095.01,1.0,1.0,1.0,40645.81,0
214,215,15785542,Kornilova,572.0,Germany,Male,,4.0,118287.01,2.0,0.0,0.0,60427.3,0
215,216,15723488,Watson,668.0,Germany,Male,47.0,7.0,106854.21,1.0,0.0,1.0,157959.02,1
216,217,15680920,Marchesi,695.0,France,Male,46.0,7.0,49512.55,1.0,1.0,0.0,133007.34,0
217,218,15786308,Millar,730.0,Spain,,33.0,9.0,0.0,2.0,0.0,0.0,176576.62,0
218,219,15659366,Shih,807.0,France,Male,43.0,1.0,105799.32,2.0,1.0,0.0,34888.04,1
219,220,15774854,Fuller,592.0,France,Male,54.0,8.0,0.0,1.0,1.0,1.0,28737.71,1
220,221,15725311,Hay,726.0,France,Female,31.0,9.0,114722.05,2.0,1.0,1.0,98178.57,0
221,222,15787155,Yang,514.0,Spain,Male,30.0,7.0,0.0,1.0,0.0,1.0,125010.24,0
222,223,15727829,McIntyre,567.0,France,Male,,2.0,0.0,2.0,1.0,1.0,167984.61,0
223,224,15733247,Stevenson,850.0,France,Male,33.0,10.0,0.0,1.0,1.0,0.0,4861.72,1
224,225,15568748,Poole,671.0,Germany,Male,45.0,6.0,99564.22,1.0,1.0,1.0,108872.45,1
225,226,15699029,Bagley,670.0,France,Male,37.0,4.0,170557.91,2.0,1.0,0.0,198252.88,0
226,227,15774393,Ch'ien,694.0,France,Female,30.0,9.0,0.0,2.0,1.0,1.0,26960.31,0
227,228,15676895,Cattaneo,547.0,Germany,Female,39.0,6.0,74596.15,3.0,1.0,1.0,85746.52,1
228,229,15637753,O'Sullivan,751.0,Germany,Male,50.0,2.0,96888.39,1.0,1.0,0.0,77206.25,1
229,230,15605461,Lucas,594.0,Germany,Female,29.0,3.0,130830.22,1.0,1.0,0.0,61048.53,0
230,231,15808473,Ringrose,673.0,France,Male,72.0,1.0,0.0,2.0,0.0,1.0,111981.19,0
231,232,15627000,Freeman,610.0,France,Male,40.0,0.0,0.0,2.0,1.0,0.0,62232.6,0
232,233,15787174,Sergeyev,512.0,France,Female,37.0,1.0,0.0,2.0,0.0,1.0,156105.03,0
233,234,15723886,Fiore,767.0,Germany,Male,20.0,3.0,119714.25,2.0,0.0,1.0,150135.38,0
234,235,15704769,Smith,585.0,France,Female,67.0,5.0,113978.97,2.0,,1.0,93146.11,0
235,236,15772896,Dumetochukwu,763.0,Germany,Male,42.0,6.0,100160.75,1.0,1.0,0.0,33462.94,1
236,237,15711540,Pacheco,712.0,France,Female,29.0,2.0,0.0,1.0,1.0,1.0,144375.0,0
237,238,15764866,Synnot,539.0,Germany,Female,43.0,3.0,116220.5,3.0,1.0,0.0,55803.96,1
238,239,15794056,Johnston,668.0,France,Female,46.0,2.0,0.0,3.0,1.0,0.0,89048.46,1
239,240,15795149,Stevens,703.0,France,Male,28.0,2.0,81173.83,2.0,0.0,1.0,162812.16,0
240,241,15812009,Grant,662.0,Spain,Male,38.0,4.0,0.0,2.0,1.0,0.0,136259.65,0
241,242,15651001,Tsao,725.0,,Female,,5.0,116803.8,1.0,1.0,0.0,124052.97,0
242,243,15813844,Barnes,703.0,France,Male,37.0,8.0,105961.68,2.0,0.0,1.0,74158.8,0
243,244,15596175,McIntosh,659.0,Germany,Male,67.0,6.0,117411.6,1.0,1.0,1.0,45071.09,1
244,245,15576269,Madison,523.0,Spain,Male,34.0,7.0,,2.0,1.0,0.0,62030.06,0
245,246,15797219,Ifesinachi,635.0,France,Female,40.0,10.0,123497.58,1.0,1.0,0.0,131953.23,1
246,247,15685500,Glazkov,772.0,Germany,,26.0,7.0,152400.51,2.0,1.0,0.0,79414.0,0
247,248,15599792,Dimauro,545.0,France,Female,26.0,1.0,0.0,2.0,1.0,1.0,199638.56,0
248,249,15657566,Wieck,634.0,Germany,Male,24.0,8.0,103097.85,1.0,1.0,1.0,157577.29,0
249,250,15772423,Liao,739.0,Germany,Male,54.0,8.0,126418.14,1.0,1.0,0.0,134420.75,1
250,251,15628112,Hughes,771.0,Germany,Female,36.0,5.0,77846.9,1.0,0.0,0.0,99805.99,0
251,252,15753754,Morrison,587.0,Spain,Female,34.0,1.0,0.0,2.0,1.0,1.0,97932.68,0
252,253,15793726,Matveyeva,681.0,France,Female,79.0,0.0,0.0,2.0,0.0,1.0,,0
253,254,15694717,Ku,544.0,Germany,Male,37.0,2.0,79731.91,1.0,1.0,1.0,57558.95,0
254,255,15665834,Cheatham,696.0,Spain,Male,28.0,8.0,0.0,1.0,0.0,0.0,176713.47,0
255,256,15765297,Yao,766.0,Spain,Male,41.0,0.0,0.0,2.0,0.0,1.0,34283.23,0
256,257,15636684,Kirkland,727.0,France,Male,34.0,10.0,0.0,2.0,1.0,1.0,198637.34,0
257,258,15592979,Rose,671.0,Germany,Female,34.0,6.0,37266.67,2.0,0.0,0.0,156917.12,0
258,259,15750803,Jess,693.0,France,Female,30.0,6.0,127992.25,1.0,1.0,1.0,50457.2,0
259,260,15607178,Welch,850.0,Germany,Male,38.0,3.0,54901.01,1.0,1.0,1.0,140075.55,0
260,261,15713853,Ifeajuna,732.0,Germany,Male,42.0,9.0,108748.08,2.0,1.0,1.0,65323.11,0
261,262,15673481,Morton,726.0,Spain,Female,48.0,6.0,99906.19,1.0,1.0,0.0,64323.24,0
262,263,15686776,Rossi,557.0,France,Female,32.0,6.0,184686.41,2.0,1.0,0.0,14956.44,0
263,264,15673693,Reppert,682.0,France,Female,26.0,0.0,110654.02,1.0,0.0,1.0,111879.21,0
264,265,15700696,Kang,738.0,Spain,Male,31.0,9.0,79019.8,1.0,1.0,1.0,18606.23,0
265,266,15813163,Ch'iu,531.0,Spain,Female,36.0,9.0,99240.51,1.0,1.0,0.0,123137.01,0
266,267,15653857,Wallis,498.0,France,Male,34.0,2.0,0.0,2.0,1.0,1.0,148528.24,0
267,268,15777076,Clark,651.0,France,Male,36.0,7.0,0.0,2.0,1.0,0.0,13898.31,0
268,269,15717398,Fielding,549.0,Spain,Female,39.0,7.0,0.0,1.0,0.0,0.0,81259.25,1
269,270,15799217,Zetticci,791.0,Germany,Female,35.0,7.0,52436.2,1.0,1.0,0.0,161051.75,0
270,271,15787071,Dulhunty,650.0,Spain,Male,41.0,9.0,0.0,2.0,0.0,1.0,191599.67,0
271,272,15619955,Bevington,733.0,Germany,Male,34.0,3.0,100337.96,3.0,1.0,0.0,48559.19,1
272,273,15796505,Boyle,811.0,Germany,Female,34.0,1.0,149297.19,2.0,1.0,1.0,186339.74,0
273,274,15725166,Newton,707.0,,Male,30.0,8.0,0.0,2.0,1.0,0.0,33159.37,0
274,275,15800116,Bowman,712.0,Germany,Male,28.0,4.0,145605.44,1.0,0.0,1.0,93883.53,0
275,276,15758685,Dubinina,706.0,Spain,Female,37.0,7.0,0.0,2.0,1.0,1.0,110899.3,0
276,277,15694456,Toscani,756.0,France,Male,62.0,3.0,0.0,1.0,1.0,1.0,11199.04,1
277,278,15767339,Chiazagomekpere,777.0,France,Female,53.0,10.0,0.0,2.0,1.0,0.0,189992.97,0
278,279,15683562,Allen,646.0,France,Male,35.0,6.0,84026.86,1.0,0.0,1.0,164255.69,0
279,280,15782210,K'ung,714.0,France,,46.0,1.0,0.0,1.0,1.0,0.0,152167.79,1
280,281,15668893,Wilsmore,782.0,France,Male,39.0,8.0,0.0,2.0,1.0,1.0,33949.67,0
281,282,15669169,Hargreaves,775.0,Spain,Male,29.0,10.0,0.0,2.0,1.0,1.0,68143.93,0
282,283,15643024,Huang,479.0,Germany,Male,35.0,4.0,138718.92,1.0,1.0,1.0,47251.79,1
283,284,15699389,Ch'ien,807.0,France,Male,42.0,7.0,118274.71,1.0,1.0,1.0,25885.72,0
284,285,15708608,Wallwork,799.0,France,Female,22.0,8.0,174185.98,2.0,0.0,1.0,192633.85,0
285,286,15626144,Chu,675.0,France,Male,40.0,7.0,113208.86,2.0,1.0,0.0,34577.36,0
286,287,15573112,Kang,602.0,Spain,Male,29.0,5.0,103907.28,1.0,1.0,0.0,161229.84,0
287,288,15790678,Davidson,475.0,France,Female,32.0,8.0,119023.28,1.0,1.0,0.0,100816.29,0
288,289,15727556,O'Donnell,744.0,Spain,Female,26.0,5.0,166297.89,1.0,1.0,1.0,181694.44,0
289,290,15697307,Nnachetam,588.0,Spain,Male,34.0,10.0,0.0,2.0,,0.0,79078.91,0
290,291,15652266,Chidiebele,703.0,Germany,Male,42.0,9.0,63227.0,1.0,0.0,1.0,137316.32,0
291,292,15607098,Ahmed,747.0,Spain,Female,41.0,5.0,94521.17,2.0,1.0,0.0,194926.86,0
292,293,15655774,Booth,583.0,France,Male,27.0,7.0,0.0,2.0,1.0,0.0,51285.49,0
293,294,15590241,Chuang,750.0,Spain,Female,34.0,9.0,112822.26,1.0,0.0,,150401.53,1
294,295,15785819,Shao,681.0,France,Male,38.0,3.0,0.0,2.0,1.0,1.0,112491.96,0
295,296,15723654,Tsao,773.0,France,Male,25.0,2.0,135903.33,1.0,1.0,0.0,73656.38,0
296,297,15774510,Tien,714.0,France,Female,31.0,4.0,125169.26,1.0,1.0,1.0,106636.89,0
297,298,15684173,Chang,687.0,Spain,Female,44.0,7.0,0.0,3.0,1.0,0.0,155853.52,1
298,299,15650068,Johnson,511.0,France,,58.0,0.0,149117.31,1.0,1.0,1.0,162599.51,0
299,300,15811490,French,627.0,France,Male,33.0,5.0,0.0,2.0,1.0,1.0,103737.82,0
300,301,15803976,Efremov,694.0,France,Female,31.0,10.0,0.0,2.0,1.0,0.0,160990.27,0
301,302,15682541,Hartley,616.0,Spain,Female,36.0,6.0,132311.71,1.0,0.0,0.0,15462.84,0
302,303,15695699,Calabrese,687.0,France,Male,35.0,8.0,0.0,,1.0,0.0,10334.05,0
303,304,15624188,Chiu,712.0,France,Female,33.0,6.0,0.0,2.0,1.0,1.0,190686.16,0
304,305,15812191,Brennan,553.0,France,Male,33.0,4.0,118082.89,1.0,0.0,0.0,94440.45,0
305,306,15636673,Onwuatuegwu,667.0,France,Male,31.0,1.0,119266.69,1.0,1.0,1.0,28257.63,0
306,307,15594898,Hewitt,731.0,France,Male,43.0,2.0,0.0,1.0,1.0,1.0,170034.95,1
307,308,15660211,Shih,629.0,Germany,Male,35.0,7.0,156847.29,2.0,1.0,0.0,31824.29,0
308,309,15773972,Balashov,614.0,France,,50.0,4.0,137104.47,1.0,1.0,0.0,127166.49,1
309,310,15746726,Doyle,438.0,Germany,Male,,8.0,78398.69,1.0,1.0,0.0,44937.01,0
310,311,15712287,Pokrovskii,652.0,,Female,80.0,4.0,0.0,2.0,1.0,1.0,188603.07,0
311,312,15702919,Collins,729.0,Germany,Male,30.0,6.0,63669.42,1.0,1.0,0.0,145111.37,0
312,313,15674398,Russo,642.0,France,Male,38.0,3.0,0.0,2.0,0.0,0.0,171463.83,0
313,314,15797960,Skinner,806.0,Germany,,59.0,0.0,135296.33,1.0,1.0,0.0,182822.5,0
314,315,15631868,Robertson,744.0,Spain,Male,36.0,2.0,153804.44,1.0,1.0,1.0,87213.33,0
315,316,15581539,Atkinson,474.0,Spain,Male,37.0,3.0,0.0,2.0,0.0,0.0,57175.32,0
316,317,15662736,Doyle,559.0,France,Male,49.0,2.0,147069.78,1.0,1.0,0.0,120540.83,1
317,318,15666252,Ritchie,706.0,,Male,42.0,9.0,0.0,2.0,1.0,1.0,28714.34,0
318,319,15677512,McEncroe,628.0,Spain,Female,22.0,3.0,0.0,1.0,1.0,0.0,85426.28,0
319,320,15626114,Pearson,429.0,France,Male,24.0,4.0,95741.75,1.0,1.0,,46170.75,0
320,321,15810834,Gordon,525.0,Spain,,57.0,2.0,145965.33,1.0,1.0,1.0,64448.36,0
321,322,15678910,Ts'ai,680.0,France,Female,30.0,8.0,141441.75,1.0,1.0,1.0,16278.97,0
322,323,15694408,Lung,749.0,France,Male,40.0,1.0,139290.41,1.0,1.0,0.0,182855.42,1
323,324,15585215,Yuan,763.0,France,Female,31.0,4.0,0.0,2.0,0.0,0.0,50404.72,0
324,325,15682757,Pardey,734.0,France,Male,30.0,3.0,0.0,2.0,1.0,0.0,107640.25,0
325,326,15736601,Tai,716.0,France,Male,35.0,4.0,144428.87,1.0,1.0,0.0,134132.65,0
326,327,15601848,Scott,594.0,France,Male,35.0,2.0,0.0,2.0,1.0,0.0,103480.69,0
327,328,15736008,Hunter,644.0,France,,46.0,9.0,95441.27,1.0,1.0,0.0,108761.05,1
328,329,15669064,Mazzanti,671.0,Germany,Male,35.0,1.0,144848.74,1.0,1.0,1.0,179012.3,0
329,330,15624528,,664.0,Germany,Male,26.0,7.0,116244.14,2.0,1.0,1.0,95145.14,0
330,331,15598493,Beach,656.0,France,Male,50.0,7.0,0.0,2.0,0.0,1.0,72143.44,0
331,332,15601274,Hsieh,667.0,Spain,Female,40.0,1.0,146502.07,1.0,1.0,0.0,19162.89,0
332,333,15702669,Faulkner,663.0,Germany,Male,44.0,2.0,117028.6,2.0,0.0,1.0,144680.18,0
333,334,15728669,Knowles,584.0,Germany,Female,30.0,8.0,112013.81,1.0,1.0,0.0,177772.03,1
334,335,15742668,Day,626.0,Spain,Female,37.0,6.0,108269.37,1.0,1.0,0.0,5597.94,0
335,336,15697441,Hsueh,485.0,France,Male,29.0,7.0,182123.79,1.0,1.0,0.0,116828.51,1
336,337,15740476,Tsao,659.0,Germany,Female,32.0,3.0,150923.74,2.0,0.0,1.0,174652.51,0
337,338,15648064,Kennedy,649.0,France,Male,33.0,2.0,0.0,2.0,1.0,0.0,2010.98,0
338,339,15636624,Nwabugwu,805.0,Spain,Female,39.0,5.0,165272.13,1.0,1.0,0.0,14109.85,1
339,340,15807923,Young,716.0,Germany,Female,39.0,10.0,115301.31,,1.0,0.0,43527.4,1
340,341,15745844,Kerr,642.0,Germany,,40.0,6.0,129502.49,2.0,0.0,1.0,86099.23,1
341,342,15786170,Tien,659.0,France,Male,31.0,4.0,118342.26,1.0,0.0,0.0,161574.19,0
342,343,15681081,Marrero,545.0,Spain,Female,47.0,5.0,0.0,2.0,1.0,1.0,38970.14,0
343,344,15684484,White,543.0,France,Male,22.0,8.0,0.0,2.0,0.0,0.0,127587.22,0
344,345,15785869,Pisano,718.0,France,Female,25.0,7.0,0.0,2.0,1.0,0.0,30380.12,0
345,346,15763859,Brown,840.0,France,Female,43.0,7.0,0.0,2.0,1.0,0.0,90908.95,0
346,347,15658935,Freeman,630.0,Germany,Female,34.0,9.0,106937.05,2.0,1.0,0.0,138275.01,0
347,348,15747358,Russell,643.0,Germany,Male,59.0,3.0,170331.37,1.0,1.0,1.0,32171.79,0
348,349,15735203,Seleznyov,654.0,Germany,Female,32.0,1.0,114510.85,1.0,1.0,1.0,126143.23,0
349,350,15576256,Yusupova,582.0,France,Male,39.0,5.0,0.0,2.0,1.0,1.0,129892.93,0
350,351,15659420,Foley,659.0,Spain,Male,,3.0,107594.11,2.0,1.0,1.0,102416.84,0
351,352,15593365,Shih,762.0,Spain,Male,39.0,2.0,81273.13,1.0,1.0,1.0,18719.67,0
352,353,15777352,Ikedinachukwu,568.0,Spain,Female,32.0,7.0,169399.6,1.0,1.0,0.0,61936.22,0
353,354,15812007,Power,670.0,Spain,Male,25.0,6.0,0.0,2.0,1.0,1.0,78358.94,0
354,355,15625461,Amos,613.0,France,,45.0,1.0,187841.99,2.0,1.0,1.0,147224.27,0
355,356,15739438,Reed,539.0,France,Male,30.0,0.0,0.0,2.0,1.0,0.0,160979.66,0
356,357,15611759,Simmons,850.0,Spain,Female,57.0,8.0,126776.3,2.0,1.0,1.0,132298.49,0
357,358,15661629,Ricci,522.0,Spain,Male,,9.0,126436.29,1.0,1.0,0.0,174248.52,1
358,359,15633950,Yen,737.0,France,Male,41.0,1.0,101960.74,1.0,1.0,1.0,123547.28,0
359,360,15592386,Campbell,520.0,France,Male,58.0,3.0,0.0,2.0,0.0,1.0,32790.02,0
360,361,15803716,West,706.0,Spain,Male,28.0,3.0,0.0,2.0,0.0,1.0,181543.67,0
361,362,15696674,Robinson,643.0,Germany,Female,45.0,2.0,150842.93,1.0,0.0,1.0,2319.96,1
362,363,15706365,Bianchi,648.0,France,Female,,9.0,102535.57,1.0,1.0,1.0,189543.19,0
363,364,15745088,Chen,443.0,Germany,Female,29.0,9.0,99027.61,2.0,1.0,0.0,10940.4,0
364,365,15676715,Madukaego,640.0,France,Male,68.0,9.0,0.0,2.0,1.0,1.0,199493.38,0
365,366,15613085,Ibrahimova,628.0,Spain,Female,33.0,,0.0,1.0,1.0,1.0,188193.25,0
366,367,15633537,Nolan,540.0,Germany,Female,42.0,9.0,87271.41,2.0,1.0,0.0,172572.64,0
367,368,15594720,Scott,460.0,Germany,Female,35.0,8.0,102742.91,2.0,1.0,1.0,189339.6,0
368,369,15684042,Blair,636.0,Germany,Male,34.0,2.0,40105.51,2.0,0.0,1.0,53512.16,0
369,370,15583303,Monaldo,593.0,France,Female,29.0,2.0,152265.43,1.0,1.0,0.0,34004.44,0
370,371,15611579,Sutherland,801.0,Spain,,42.0,4.0,141947.67,1.0,1.0,1.0,10598.29,0
371,372,15774696,Cole,640.0,Germany,Female,75.0,1.0,106307.91,2.0,0.0,1.0,113428.77,0
372,373,15694506,Briggs,611.0,Germany,Male,31.0,0.0,107884.81,2.0,1.0,1.0,183487.98,0
373,374,15688074,Gregory,802.0,Germany,Male,31.0,1.0,125013.72,1.0,1.0,1.0,187658.09,0
374,375,15759537,Bianchi,717.0,Germany,Male,35.0,7.0,58469.37,2.0,1.0,1.0,172459.39,0
375,376,15758449,Angelo,769.0,France,Female,39.0,8.0,0.0,1.0,0.0,1.0,21016.0,0
376,377,15583456,Gardiner,745.0,Germany,Male,45.0,10.0,117231.63,3.0,1.0,1.0,122381.02,1
377,378,15667871,Kerr,572.0,Spain,Male,35.0,4.0,152390.26,1.0,1.0,0.0,128123.66,0
378,379,15677371,Ko,629.0,Spain,Female,30.0,2.0,34013.63,1.0,1.0,0.0,19570.63,0
379,380,15629677,Distefano,687.0,Spain,Female,39.0,2.0,0.0,3.0,0.0,0.0,188150.6,1
380,381,15713578,Farrell,483.0,France,Female,50.0,9.0,0.0,2.0,1.0,1.0,111020.24,0
381,382,15591509,Milano,690.0,France,Male,36.0,7.0,101583.11,2.0,1.0,0.0,123775.15,0
382,383,15568240,Ting,492.0,Germany,Female,30.0,10.0,77168.87,2.0,0.0,1.0,146700.22,0
383,384,15622993,Boyd,709.0,Germany,Male,28.0,8.0,124695.72,2.0,1.0,0.0,145251.35,0
384,385,15689294,Onyemaechi,705.0,Germany,Male,44.0,3.0,105934.96,1.0,1.0,0.0,82463.69,0
385,386,15720910,Black,560.0,France,Female,66.0,9.0,0.0,1.0,1.0,1.0,15928.49,0
386,387,15721181,Oliver,611.0,,,46.0,6.0,0.0,2.0,1.0,0.0,45886.33,0
387,388,15776433,Greco,730.0,Spain,Male,62.0,2.0,0.0,2.0,1.0,1.0,186489.95,0
388,389,15748936,Whitehead,709.0,Spain,Female,45.0,2.0,0.0,2.0,0.0,1.0,162922.65,0
389,390,15717225,Ikemefuna,544.0,France,Female,21.0,10.0,161525.96,2.0,1.0,0.0,9262.77,0
390,391,15685226,Morrison,712.0,Germany,Female,29.0,7.0,147199.07,1.0,1.0,1.0,84932.4,0
391,392,15785611,Onyeoruru,752.0,Germany,Male,38.0,3.0,183102.29,1.0,1.0,1.0,71557.12,0
392,393,15573456,Cunningham,648.0,Spain,Male,46.0,9.0,127209.0,2.0,1.0,0.0,77405.95,1
393,394,15684548,Demidov,556.0,Spain,Male,38.0,8.0,0.0,2.0,0.0,0.0,417.41,1
394,395,15620505,Celis,594.0,Spain,Female,24.0,0.0,97378.54,1.0,1.0,1.0,71405.17,0
395,396,15807432,Cheng,645.0,Germany,Female,37.0,2.0,136925.09,2.0,0.0,1.0,153400.24,0
396,397,15584766,Knight,557.0,France,Male,33.0,3.0,54503.55,1.0,1.0,1.0,371.05,0
397,398,15612187,Morin,547.0,Germany,Male,32.0,8.0,155726.85,1.0,1.0,0.0,67789.99,0
398,399,15762218,Mills,701.0,France,Female,39.0,9.0,0.0,2.0,0.0,1.0,145894.9,0
399,400,15646372,Outhwaite,616.0,France,Female,66.0,1.0,135842.41,1.0,1.0,0.0,183840.51,1
400,401,15690452,Tung,605.0,France,Male,52.0,1.0,63349.75,1.0,1.0,0.0,108887.44,0
401,402,15747795,Pai,593.0,Germany,Female,38.0,4.0,129499.42,1.0,1.0,1.0,154071.27,0
402,403,15781589,Carpenter,751.0,Spain,Male,52.0,8.0,0.0,2.0,0.0,1.0,179291.85,0
403,404,15732674,Fennell,443.0,Spain,Male,36.0,6.0,70438.01,2.0,0.0,1.0,56937.43,0
404,405,15642291,Fontaine,685.0,France,Male,23.0,8.0,0.0,2.0,1.0,1.0,112239.03,0
405,406,15692761,Pratt,718.0,France,Male,36.0,9.0,0.0,1.0,1.0,0.0,45909.87,0
406,407,15578045,Mitchell,538.0,Spain,Female,49.0,9.0,141434.04,1.0,0.0,0.0,173779.25,1
407,408,15745354,Franklin,611.0,Spain,Female,37.0,4.0,0.0,2.0,1.0,0.0,125696.26,0
408,409,15701376,K'ung,668.0,Germany,Male,37.0,10.0,152958.29,2.0,1.0,1.0,159585.61,0
409,410,15691625,Ko,537.0,,,41.0,3.0,138306.34,1.0,1.0,0.0,106761.47,0
410,411,15566594,McKenzie,709.0,Spain,Male,23.0,10.0,0.0,2.0,0.0,0.0,129590.18,0
411,412,15760431,Pino,850.0,France,Male,38.0,1.0,0.0,2.0,1.0,1.0,80006.65,0
412,413,15686302,Fisk,745.0,Spain,Female,31.0,3.0,124328.84,1.0,1.0,1.0,140451.52,0
413,414,15801559,Chiang,,Germany,Female,41.0,9.0,181461.48,3.0,1.0,1.0,,1
414,415,15810432,Moseley,795.0,Spain,Male,35.0,8.0,0.0,2.0,1.0,0.0,167155.36,0
415,416,15809616,Hsiung,626.0,Spain,Male,26.0,8.0,0.0,2.0,0.0,0.0,191420.71,0
416,417,15720559,Heath,487.0,Germany,Female,61.0,5.0,110368.03,1.0,0.0,0.0,11384.45,1
417,418,15695632,Dellucci,556.0,France,Female,39.0,9.0,89588.35,1.0,1.0,1.0,94898.1,0
418,419,15659843,Li,643.0,France,Female,46.0,6.0,0.0,2.0,0.0,0.0,106781.59,0
419,420,15615624,De Salis,605.0,France,Female,28.0,6.0,0.0,2.0,0.0,0.0,159508.52,0
420,421,15810418,T'ang,756.0,Germany,Female,60.0,3.0,115924.89,1.0,1.0,0.0,93524.19,1
421,422,15716186,Richardson,586.0,France,Female,38.0,2.0,0.0,2.0,1.0,0.0,87168.46,0
422,423,15674551,Fitch,535.0,Germany,Male,40.0,7.0,111756.5,1.0,1.0,0.0,8128.32,1
423,424,15622834,Stevenson,678.0,France,Female,35.0,4.0,0.0,,1.0,0.0,125518.32,0
424,425,15566111,Estes,596.0,France,Male,39.0,9.0,0.0,1.0,1.0,0.0,48963.59,0
425,426,15784597,Lattimore,648.0,France,Male,26.0,9.0,162923.85,1.0,1.0,0.0,98368.24,0
426,427,15652883,Chung,492.0,Germany,Male,39.0,10.0,124576.65,2.0,1.0,0.0,148584.61,0
427,428,15806964,Utz,702.0,France,Male,45.0,0.0,80793.58,1.0,1.0,1.0,27474.81,0
428,429,15576313,Wei,486.0,Germany,Female,40.0,9.0,71340.09,1.0,1.0,0.0,76192.21,0
429,430,15806467,Boyle,568.0,Germany,Male,40.0,1.0,99282.63,1.0,0.0,0.0,134600.94,1
430,431,15597602,Nwachinemelu,619.0,Germany,Male,57.0,3.0,137946.39,1.0,1.0,1.0,72467.99,1
431,432,15743040,Kuznetsova,724.0,Germany,Male,41.0,2.0,127892.57,2.0,0.0,1.0,199645.45,0
432,433,15705521,Pisani,548.0,Germany,Female,33.0,0.0,101084.36,1.0,1.0,0.0,42749.85,0
433,434,15595039,Manna,545.0,Germany,Female,37.0,8.0,114754.08,1.0,1.0,0.0,136050.44,1
434,435,15799384,Collier,683.0,France,Male,33.0,8.0,0.0,1.0,0.0,0.0,73564.44,0
435,436,15581197,Ricci,762.0,France,Female,51.0,3.0,99286.98,1.0,0.0,1.0,85578.63,0
436,437,15693737,Carr,627.0,Germany,Female,30.0,4.0,79871.02,2.0,1.0,0.0,129826.89,0
437,438,15624623,,516.0,France,Male,35.0,10.0,104088.59,2.0,0.0,0.0,119666.0,0
438,439,15783501,Findlay,800.0,France,Female,38.0,2.0,168190.33,2.0,1.0,0.0,68052.08,0
439,440,15690134,Hughes,464.0,Germany,Female,42.0,3.0,85679.25,1.0,1.0,1.0,164104.74,0
440,441,15782735,Chukwuemeka,626.0,France,Female,35.0,3.0,0.0,1.0,0.0,0.0,80190.36,0
441,442,15611088,Genovese,790.0,France,Female,31.0,9.0,0.0,2.0,1.0,0.0,84126.75,0
442,443,15672145,Swift,534.0,France,Female,34.0,7.0,121551.58,2.0,1.0,1.0,70179.0,0
443,444,15732628,Ugoji,745.0,France,Male,46.0,2.0,122220.19,1.0,1.0,1.0,118024.1,0
444,445,15787470,Parkinson,553.0,Spain,Male,47.0,3.0,116528.15,1.0,0.0,0.0,145704.19,1
445,446,15803406,Ross,748.0,France,Female,26.0,1.0,77780.29,1.0,0.0,1.0,183049.41,0
446,447,15730460,Oleary,722.0,France,Male,37.0,2.0,,,0.0,0.0,120906.83,0
447,448,15644572,Turnbull,501.0,France,Male,40.0,4.0,125832.2,1.0,1.0,1.0,100433.83,0
448,449,15694860,Uspensky,675.0,France,Female,38.0,6.0,68065.8,1.0,0.0,0.0,138777.0,1
449,450,15658169,Cook,778.0,Spain,Female,47.0,6.0,127299.34,2.0,1.0,0.0,124694.99,0
450,451,15794396,Newbold,494.0,Germany,,,7.0,174937.64,1.0,1.0,0.0,40084.32,0
451,452,15785798,Uchechukwu,850.0,France,Male,40.0,9.0,0.0,2.0,0.0,1.0,119232.33,0
452,453,15710825,Ch'en,592.0,Spain,Male,31.0,7.0,110071.1,1.0,0.0,0.0,43921.36,0
453,454,15668444,He,590.0,Spain,Female,44.0,3.0,139432.37,1.0,1.0,0.0,62222.81,0
454,455,15726631,Hilton,758.0,France,Female,39.0,6.0,127357.76,1.0,0.0,1.0,56577.0,0
455,456,15733797,Sal,506.0,France,,36.0,5.0,0.0,2.0,1.0,0.0,164253.35,0
456,457,15747960,Eluemuno,733.0,France,Male,33.0,3.0,0.0,1.0,1.0,1.0,7666.73,0
457,458,15634632,Titus,711.0,France,Male,38.0,3.0,0.0,2.0,1.0,0.0,68487.51,0
458,459,15707362,Yin,514.0,Germany,Male,43.0,1.0,95556.31,1.0,0.0,1.0,199273.98,1
459,460,15662976,Lettiere,637.0,Spain,Male,37.0,8.0,0.0,1.0,1.0,1.0,186062.36,0
460,461,15732778,Templeman,468.0,Germany,Male,29.0,1.0,111681.98,2.0,1.0,1.0,195711.16,0
461,462,15718443,Chibuzo,539.0,France,Male,39.0,3.0,,2.0,1.0,0.0,36692.17,0
462,463,15670039,Sun,509.0,Spain,Female,,3.0,108738.71,2.0,1.0,0.0,106920.57,0
463,464,15773792,Evans,662.0,France,Female,32.0,4.0,133950.37,1.0,1.0,1.0,48725.68,1
464,465,15613786,Ogbonnaya,818.0,,Male,26.0,4.0,0.0,2.0,1.0,1.0,167036.94,0
465,466,15726032,Enyinnaya,608.0,France,Male,33.0,9.0,89968.69,1.0,1.0,0.0,68777.26,0
466,467,15663252,Olisanugo,850.0,Spain,Female,32.0,9.0,0.0,2.0,1.0,1.0,18924.92,0
467,468,15593782,Brookes,816.0,Germany,Female,38.0,5.0,130878.75,3.0,1.0,0.0,71905.77,1
468,469,15633283,Padovano,536.0,France,Male,35.0,8.0,0.0,2.0,1.0,0.0,64833.28,0
469,470,15749167,Fisk,753.0,France,Male,35.0,3.0,0.0,2.0,1.0,1.0,184843.77,0
470,471,15759298,Shih,631.0,Spain,Male,27.0,10.0,134169.62,1.0,1.0,1.0,176730.02,0
471,472,15683625,Hare,703.0,France,Male,37.0,1.0,149762.08,1.0,1.0,0.0,20629.4,1
472,473,15635367,Muir,774.0,France,Male,26.0,2.0,93844.69,1.0,1.0,0.0,28415.36,0
473,474,15681705,Fanucci,785.0,France,Male,28.0,8.0,0.0,2.0,1.0,0.0,77231.27,0
474,475,15603156,Elewechi,571.0,France,Female,33.0,1.0,0.0,2.0,1.0,0.0,102750.7,0
475,476,15591986,Johnston,621.0,Germany,,46.0,6.0,141078.37,1.0,0.0,0.0,34580.8,1
476,477,15798888,Pisano,605.0,Germany,Female,31.0,1.0,117992.59,1.0,1.0,1.0,183598.77,0
477,478,15809722,Ankudinov,611.0,France,Female,40.0,8.0,100812.33,2.0,1.0,0.0,147358.27,0
478,479,15677538,Nwokike,569.0,France,Male,38.0,7.0,0.0,1.0,1.0,1.0,108469.2,0
479,480,15797736,Smith,658.0,France,Male,29.0,4.0,80262.6,1.0,1.0,1.0,20612.82,0
480,481,15695585,Atkins,788.0,Spain,Male,34.0,6.0,156478.62,1.0,0.0,1.0,181196.76,0
481,482,15744398,Burns,525.0,France,Female,23.0,5.0,0.0,2.0,1.0,0.0,160249.1,0
482,483,15750658,Obiuto,798.0,France,Male,37.0,8.0,0.0,3.0,0.0,0.0,110783.28,0
483,484,15578186,Pirozzi,486.0,Germany,Male,37.0,9.0,115217.99,2.0,1.0,0.0,144995.33,0
484,485,15676519,George,615.0,Spain,Male,61.0,9.0,,2.0,1.0,0.0,150227.85,1
485,486,15637954,Lewis,730.0,France,,35.0,0.0,155470.55,1.0,1.0,1.0,53718.28,0
486,487,15758639,Moran,641.0,France,Male,37.0,7.0,0.0,2.0,1.0,0.0,75248.3,0
487,488,15613772,Dalrymple,542.0,France,Male,39.0,3.0,135096.77,1.0,1.0,1.0,14353.43,1
488,489,15731744,Carslaw,692.0,France,Male,30.0,2.0,0.0,2.0,0.0,1.0,,0
489,490,15807709,Kirby,714.0,Germany,Female,55.0,9.0,180075.22,1.0,1.0,1.0,100127.71,0
490,491,15714689,Houghton,591.0,Spain,Male,29.0,1.0,97541.24,1.0,1.0,1.0,196356.17,0
491,492,15699005,Martin,710.0,France,Female,41.0,2.0,156067.05,1.0,1.0,1.0,9983.88,0
492,493,15624170,Tan,639.0,France,Female,38.0,4.0,81550.94,2.0,0.0,1.0,118974.77,0
493,494,15725679,Hsia,531.0,France,Female,47.0,6.0,0.0,1.0,0.0,0.0,194998.34,1
494,495,15585865,Westerberg,673.0,France,Female,38.0,2.0,170061.92,2.0,0.0,0.0,134901.34,1
495,496,15804256,Hale,765.0,Germany,Male,36.0,8.0,92310.54,2.0,1.0,1.0,72924.56,0
496,497,15662403,Kryukova,622.0,France,Female,32.0,6.0,169089.38,2.0,1.0,0.0,101057.95,0
497,498,15733616,Sopuluchukwu,806.0,France,Male,40.0,5.0,80613.93,1.0,1.0,1.0,142838.64,0
498,499,15591995,Barry,757.0,Germany,Male,26.0,8.0,121581.56,2.0,1.0,1.0,127059.04,0
499,500,15677020,Selezneva,570.0,France,Female,58.0,8.0,0.0,1.0,0.0,1.0,116503.92,1
500,501,15727688,Chizuoke,555.0,Spain,Male,32.0,4.0,0.0,2.0,1.0,1.0,54405.79,0
501,502,15715941,Lueck,692.0,France,Male,54.0,5.0,0.0,2.0,1.0,1.0,88721.84,0
502,503,15714485,Udinese,774.0,France,Male,60.0,5.0,85891.55,1.0,1.0,0.0,74135.48,1
503,504,15730059,Udobata,638.0,Spain,Male,44.0,9.0,77637.35,2.0,1.0,1.0,111346.22,0
504,505,15715527,Freeman,543.0,Spain,Female,41.0,4.0,0.0,1.0,0.0,0.0,194902.16,0
505,506,15576623,Outlaw,584.0,France,Male,31.0,5.0,0.0,2.0,,0.0,31474.27,0
506,507,15805565,Obiuto,691.0,Germany,Male,30.0,7.0,116927.89,1.0,1.0,0.0,21198.39,0
507,508,15677307,Lo,684.0,Germany,Female,40.0,6.0,137326.65,1.0,1.0,0.0,186976.6,0
508,509,15773890,Okechukwu,733.0,France,,22.0,5.0,0.0,2.0,1.0,1.0,117202.19,0
509,510,15598883,King,599.0,Spain,Female,37.0,2.0,0.0,2.0,1.0,1.0,143739.29,0
510,511,15568506,Forbes,524.0,Germany,Female,31.0,10.0,67238.98,2.0,1.0,1.0,161811.23,0
511,512,15761043,Macleod,632.0,Germany,Female,38.0,6.0,86569.76,2.0,1.0,0.0,98090.91,0
512,513,15782236,Gibbs,735.0,Spain,Male,34.0,5.0,0.0,2.0,0.0,0.0,71095.41,0
513,514,15593601,Isayev,734.0,France,Male,34.0,6.0,133598.4,1.0,1.0,1.0,13107.24,0
514,515,15682048,Pisano,605.0,France,Female,51.0,3.0,136188.78,,1.0,1.0,67110.59,1
515,516,15746902,Belstead,793.0,Spain,Male,38.0,9.0,0.0,2.0,1.0,0.0,88225.02,0
516,517,15752081,Vassiliev,468.0,France,Female,56.0,10.0,0.0,3.0,0.0,1.0,62256.87,1
517,518,15781307,Schneider,779.0,Germany,Male,37.0,7.0,120092.52,2.0,1.0,0.0,135925.72,0
518,519,15775912,Mazzanti,698.0,France,Male,48.0,4.0,101238.24,2.0,0.0,1.0,177815.87,1
519,520,15745417,Knipe,707.0,France,Male,58.0,6.0,89685.92,1.0,0.0,1.0,126471.13,0
520,521,15671256,Macartney,850.0,France,Female,35.0,1.0,211774.31,1.0,1.0,0.0,188574.12,1
521,522,15653547,Madukwe,850.0,France,Male,56.0,7.0,131317.48,1.0,1.0,1.0,119175.45,0
522,523,15595766,Watts,527.0,Spain,Male,37.0,5.0,93722.73,2.0,1.0,1.0,139093.73,0
523,524,15742358,Humphreys,696.0,Germany,Male,32.0,8.0,101160.99,1.0,1.0,1.0,115916.55,0
524,525,15763274,Wu,661.0,France,Male,48.0,3.0,120320.54,1.0,0.0,0.0,96463.25,0
525,526,15786063,Chin,776.0,France,Female,31.0,2.0,0.0,2.0,1.0,1.0,112349.51,0
526,527,15600258,Chesnokova,701.0,France,Male,43.0,2.0,0.0,2.0,1.0,1.0,165303.79,0
527,528,15573318,Kung,610.0,France,Male,26.0,8.0,0.0,2.0,1.0,0.0,166031.08,0
528,529,15653849,Lu,572.0,Germany,Female,48.0,3.0,152827.99,1.0,1.0,0.0,38411.79,1
529,530,15694272,Nkemakolam,673.0,France,Male,30.0,1.0,64097.75,1.0,1.0,1.0,77783.35,0
530,531,15736112,Walton,519.0,Spain,Female,57.0,2.0,119035.35,2.0,1.0,1.0,29871.79,0
531,532,15749851,Brookes,702.0,Spain,Female,26.0,4.0,135219.57,1.0,0.0,1.0,59747.63,0
532,533,15663478,Baldwin,729.0,France,Male,32.0,6.0,93694.42,1.0,1.0,1.0,79919.13,0
533,534,15592300,Mai,543.0,Spain,Male,35.0,10.0,59408.63,1.0,1.0,0.0,76773.53,0
534,535,15567832,Shih,550.0,France,Female,40.0,7.0,114354.95,1.0,1.0,0.0,54018.93,0
535,536,15776780,He,608.0,France,Male,59.0,1.0,0.0,1.0,1.0,0.0,70649.64,1
536,537,15592846,Fiorentini,639.0,Germany,Male,35.0,10.0,128173.9,2.0,1.0,0.0,59093.39,0
537,538,15739803,Lucciano,686.0,Spain,Male,34.0,9.0,0.0,2.0,1.0,0.0,127569.8,0
538,539,15794142,Ferreira,564.0,Germany,Female,62.0,5.0,114931.35,3.0,0.0,1.0,18260.98,1
539,540,15762729,Ukaegbunam,745.0,Germany,Female,28.0,1.0,111071.36,1.0,1.0,0.0,73275.96,1
540,541,15667896,De Luca,833.0,France,Male,37.0,8.0,151226.18,2.0,1.0,1.0,136129.49,0
541,542,15626578,Milne,622.0,France,Male,26.0,9.0,0.0,2.0,1.0,1.0,153237.59,0
542,543,15776223,Davide,597.0,France,Female,42.0,4.0,64740.12,1.0,1.0,1.0,106841.12,0
543,544,15705953,Kodilinyechukwu,721.0,Spain,Male,51.0,0.0,169312.13,1.0,1.0,0.0,109078.35,1
544,545,15802593,Little,504.0,France,Female,49.0,7.0,0.0,3.0,0.0,1.0,87822.14,1
545,546,15615457,Burns,842.0,Spain,Female,44.0,2.0,112652.08,2.0,1.0,0.0,126644.98,0
546,547,15708916,Paterson,587.0,France,Male,38.0,0.0,0.0,,1.0,0.0,47414.15,0
547,548,15720187,Han,479.0,Germany,Female,30.0,7.0,143964.36,2.0,1.0,0.0,41879.99,0
548,549,15595440,Kryukova,508.0,France,Male,49.0,7.0,122451.46,,1.0,1.0,75808.1,0
549,550,15600651,Ijendu,749.0,France,Male,24.0,1.0,0.0,3.0,1.0,1.0,47911.03,0
550,551,15750141,Reichard,721.0,Germany,Female,36.0,3.0,65253.07,2.0,1.0,0.0,28737.78,0
551,552,15657284,Day,674.0,Germany,Male,47.0,6.0,106901.94,1.0,1.0,1.0,2079.2,1
552,553,15763063,Price,685.0,Spain,Female,25.0,10.0,128509.63,1.0,1.0,0.0,121562.33,0
553,554,15709324,Bruce,417.0,France,Male,34.0,7.0,0.0,2.0,1.0,0.0,55003.79,0
554,555,15711309,Sumrall,574.0,Germany,Male,33.0,3.0,129834.67,1.0,1.0,0.0,193131.42,0
555,556,15775318,Lu,590.0,Spain,Female,51.0,3.0,154962.99,3.0,0.0,1.0,191932.27,1
556,557,15705515,Lazarev,587.0,Germany,Male,40.0,5.0,138241.9,2.0,1.0,0.0,159418.1,0
557,558,15634844,Miller,598.0,Germany,Male,41.0,3.0,91536.93,1.0,1.0,0.0,191468.78,1
558,559,15717046,Wentworth-Shields,741.0,Spain,Male,53.0,3.0,0.0,2.0,1.0,1.0,38913.68,0
559,560,15571816,Ritchie,850.0,Spain,Female,70.0,5.0,0.0,1.0,1.0,1.0,705.18,0
560,561,15670080,Mackenzie,584.0,Germany,Female,29.0,7.0,105204.01,1.0,,1.0,138490.03,0
561,562,15800440,Power,650.0,Spain,Male,61.0,1.0,152968.73,1.0,0.0,1.0,82970.69,0
562,563,15665678,Tan,607.0,Spain,Male,36.0,8.0,158261.68,1.0,1.0,1.0,76744.72,0
563,564,15665956,Pendergrass,509.0,,Female,46.0,,0.0,1.0,1.0,0.0,71244.59,1
564,565,15788126,Evans,689.0,Spain,Female,38.0,6.0,121021.05,1.0,1.0,1.0,12182.15,0
565,566,15811773,Hsia,543.0,France,Male,36.0,4.0,0.0,2.0,1.0,1.0,141210.5,0
566,567,15651674,Billson,438.0,Spain,Female,,2.0,0.0,1.0,0.0,0.0,191763.07,1
567,568,15689614,Teng,687.0,Spain,Female,63.0,1.0,137715.66,1.0,1.0,1.0,37938.74,0
568,569,15795564,Moretti,737.0,,Male,31.0,5.0,121192.22,2.0,1.0,1.0,74890.58,0
569,570,15706647,Jordan,761.0,France,Male,31.0,7.0,0.0,,1.0,1.0,166698.18,0
570,571,15728505,Ts'ao,601.0,France,Male,44.0,1.0,100486.18,2.0,1.0,1.0,62678.53,0
571,572,15730076,Osborne,651.0,France,Male,45.0,1.0,0.0,1.0,1.0,0.0,67740.08,1
572,573,15622003,Carslaw,745.0,France,Male,35.0,9.0,92566.53,2.0,1.0,0.0,161519.77,0
573,574,15607312,Ch'ang,648.0,Spain,Female,49.0,10.0,0.0,2.0,1.0,1.0,159835.78,1
574,575,15644753,Hung,848.0,Spain,Male,40.0,3.0,110929.96,1.0,1.0,1.0,30876.84,0
575,576,15653620,Gordon,546.0,France,Female,27.0,8.0,0.0,2.0,1.0,1.0,14858.1,0
576,577,15761986,Obialo,439.0,Spain,Female,32.0,3.0,138901.61,1.0,1.0,0.0,75685.97,0
577,578,15633922,Gray,755.0,France,Male,30.0,4.0,123217.66,2.0,0.0,1.0,144183.1,0
578,579,15734674,Lin,593.0,France,Female,41.0,6.0,,1.0,1.0,0.0,65170.66,0
579,580,15658032,Hopkins,701.0,France,Male,39.0,2.0,0.0,2.0,1.0,1.0,82526.92,0
580,581,15692671,Dobson,701.0,Spain,Male,36.0,8.0,0.0,,1.0,0.0,169161.46,0
581,582,15737741,McKay,607.0,Spain,Female,33.0,2.0,108431.87,2.0,0.0,1.0,109291.39,1
582,583,15576352,Revell,586.0,Spain,Female,57.0,3.0,0.0,2.0,0.0,1.0,6057.81,0
583,584,15753719,Rickards,547.0,,Female,30.0,9.0,72392.41,1.0,1.0,0.0,77077.14,0
584,585,15803689,Begum,647.0,Germany,Female,51.0,1.0,119741.77,2.0,0.0,0.0,54954.51,1
585,586,15718057,Onyinyechukwuka,760.0,France,Female,51.0,2.0,100946.71,1.0,0.0,0.0,179614.8,1
586,587,15722010,Zuyev,621.0,Spain,Male,53.0,9.0,170491.84,1.0,1.0,0.0,35588.07,1
587,588,15680998,Nwankwo,725.0,France,Male,44.0,5.0,0.0,1.0,1.0,1.0,117356.14,0
588,589,15614782,Hao,526.0,France,Male,36.0,1.0,0.0,1.0,1.0,0.0,160696.72,0
589,590,15591047,Ma,519.0,Spain,Female,47.0,6.0,157296.02,2.0,0.0,0.0,147278.43,1
590,591,15788291,Okwuadigbo,713.0,Germany,,38.0,7.0,144606.22,1.0,1.0,1.0,56594.36,1
591,592,15604044,Mitchell,700.0,France,Male,38.0,8.0,134811.3,,1.0,0.0,1299.75,0
592,593,15679587,Chan,666.0,France,Female,34.0,9.0,115897.12,1.0,1.0,1.0,25095.03,0
593,594,15775153,Buchi,630.0,Spain,Male,32.0,4.0,82034.0,1.0,0.0,0.0,146326.45,0
594,595,15603925,Greco,779.0,Spain,Female,26.0,4.0,174318.13,2.0,0.0,1.0,38296.21,0
595,596,15680970,Lombardi,611.0,Germany,Female,41.0,2.0,114206.84,1.0,1.0,0.0,164061.6,0
596,597,15697183,Uchenna,685.0,Spain,Male,43.0,9.0,0.0,2.0,1.0,0.0,107811.28,0
597,598,15567446,Coffman,646.0,Germany,Male,39.0,9.0,111574.41,1.0,1.0,1.0,30838.51,0
598,599,15637476,Alexandrova,683.0,Germany,Female,57.0,5.0,162448.69,1.0,0.0,0.0,9221.78,1
599,600,15714939,Fallaci,484.0,Germany,Female,34.0,4.0,148249.54,1.0,0.0,1.0,33738.27,0
600,601,15683503,Hudson,601.0,France,Female,43.0,,0.0,3.0,0.0,1.0,110916.15,1
601,602,15645569,Mai,762.0,Spain,Female,26.0,7.0,123709.46,2.0,1.0,1.0,169654.57,0
602,603,15782569,Stout,687.0,France,Female,72.0,9.0,0.0,1.0,0.0,1.0,69829.4,0
603,604,15592387,Burke,566.0,France,Male,30.0,5.0,0.0,1.0,1.0,0.0,54926.51,1
604,605,15609286,Chadwick,702.0,France,Male,37.0,10.0,150525.8,1.0,1.0,1.0,94728.49,0
605,606,15814035,Lawrence,601.0,France,Male,29.0,9.0,0.0,1.0,1.0,1.0,80393.27,0
606,607,15661249,Bellucci,699.0,France,Male,53.0,4.0,,2.0,0.0,1.0,111307.98,0
607,608,15629117,Harper,584.0,France,Male,28.0,10.0,0.0,2.0,1.0,0.0,19834.32,0
608,609,15607170,Boyle,699.0,France,Male,35.0,5.0,0.0,2.0,1.0,1.0,78397.24,0
609,610,15586585,Duncan,698.0,Germany,Female,51.0,2.0,111018.98,1.0,1.0,0.0,86410.28,0
610,611,15686611,Moss,495.0,France,Male,30.0,10.0,129755.99,1.0,0.0,0.0,172749.65,0
611,612,15603203,Avdeyeva,650.0,France,Female,27.0,6.0,0.0,2.0,1.0,0.0,1002.39,0
612,613,15619857,Crawford,605.0,France,Female,64.0,2.0,129555.7,1.0,1.0,1.0,13601.79,0
613,614,15805062,Lynton,667.0,Spain,Male,38.0,1.0,87202.38,1.0,1.0,1.0,77866.91,0
614,615,15660271,Duncan,688.0,Germany,Male,26.0,8.0,146133.39,1.0,1.0,1.0,175296.76,0
615,616,15745295,Gether,727.0,Spain,Female,31.0,0.0,0.0,1.0,1.0,0.0,121751.04,1
616,617,15719352,Davidson,754.0,Spain,Male,39.0,6.0,170184.99,2.0,1.0,0.0,89593.26,0
617,618,15766575,Larionova,612.0,Germany,Female,62.0,8.0,140745.33,1.0,1.0,0.0,193437.89,1
618,619,15594594,Loggia,546.0,Spain,Male,42.0,7.0,139070.51,1.0,1.0,1.0,86945.0,0
619,620,15646161,Steinhoff,673.0,Spain,Female,37.0,8.0,0.0,2.0,1.0,1.0,183318.79,0
620,621,15682585,Guerra,593.0,France,Male,35.0,9.0,114193.24,1.0,1.0,0.0,71154.1,0
621,622,15603134,Pai,656.0,Spain,Female,40.0,10.0,167878.5,1.0,0.0,1.0,151887.16,0
622,623,15636444,Craig,535.0,Germany,Female,53.0,5.0,141616.55,2.0,1.0,1.0,75888.65,0
623,624,15773456,Lazareva,678.0,Germany,Male,36.0,3.0,145747.67,2.0,0.0,1.0,89566.74,0
624,625,15745307,Ch'iu,477.0,Spain,Female,48.0,2.0,129120.64,1.0,0.0,1.0,26475.79,0
625,626,15604119,Alderete,850.0,Spain,Male,35.0,7.0,110349.82,1.0,0.0,0.0,126355.8,0
626,627,15626900,Kung,427.0,France,Male,29.0,1.0,141325.56,1.0,1.0,1.0,93839.3,0
627,628,15605447,Palermo,752.0,France,Male,49.0,2.0,78653.84,1.0,1.0,0.0,7698.6,0
628,629,15589030,Ts'ai,649.0,France,Male,47.0,1.0,0.0,2.0,1.0,1.0,145593.85,0
629,630,15692463,Rahman,799.0,Spain,Female,28.0,3.0,142253.65,1.0,1.0,0.0,45042.56,0
630,631,15712403,McMillan,589.0,France,Female,61.0,1.0,0.0,1.0,1.0,0.0,61108.56,1
631,632,15811762,Pickering,583.0,Germany,Female,54.0,6.0,115988.86,1.0,1.0,0.0,57553.98,1
632,633,15718673,Mirams,839.0,Spain,Female,,10.0,75592.43,1.0,1.0,0.0,62674.42,0
633,634,15724282,Tsao,540.0,Germany,Male,44.0,3.0,164113.04,2.0,1.0,1.0,12120.79,0
634,635,15738181,Douglas,850.0,France,Male,31.0,6.0,67996.23,2.0,0.0,0.0,50129.87,1
635,636,15633648,Jideofor,696.0,Spain,Female,51.0,5.0,0.0,2.0,1.0,0.0,55022.43,0
636,637,15603323,Bell,660.0,Spain,Female,,,,2.0,0.0,0.0,117834.91,0
637,638,15583725,Mairinger,682.0,France,Male,48.0,1.0,138778.15,1.0,0.0,1.0,168840.23,0
638,639,15588350,McIntyre,744.0,France,Female,43.0,10.0,147832.15,1.0,0.0,1.0,24234.11,0
639,640,15798398,Pagnotto,785.0,France,Female,36.0,4.0,135438.4,1.0,0.0,0.0,190627.01,0
640,641,15784844,K'ung,752.0,Spain,Male,48.0,5.0,116060.08,1.0,1.0,0.0,156618.38,1
641,642,15580684,Feng,706.0,France,Female,29.0,5.0,112564.62,,1.0,0.0,42334.38,0
642,643,15809663,Donaldson,583.0,France,Female,27.0,1.0,125406.58,1.0,1.0,1.0,110784.42,0
643,644,15640078,Chambers,660.0,Germany,Female,39.0,5.0,135134.99,1.0,1.0,0.0,173683.0,1
644,645,15698786,Marcelo,819.0,France,Female,39.0,9.0,133102.92,1.0,1.0,0.0,27046.46,1
645,646,15569807,Ejimofor,673.0,France,Female,34.0,8.0,42157.08,1.0,1.0,0.0,20598.59,1
646,647,15730830,Dale,752.0,France,Female,30.0,3.0,0.0,2.0,1.0,1.0,104991.28,0
647,648,15805112,Pokrovsky,578.0,France,Male,38.0,7.0,82259.29,1.0,1.0,0.0,8996.97,0
648,649,15633064,Stonebraker,438.0,France,Female,36.0,4.0,0.0,2.0,1.0,0.0,64420.5,0
649,650,15703119,Liang,652.0,France,Male,38.0,6.0,0.0,2.0,,1.0,145700.22,0
650,651,15730447,Anderson,629.0,France,Female,49.0,4.0,0.0,2.0,1.0,1.0,196335.48,0
651,652,15813850,Christian,720.0,France,Male,52.0,7.0,0.0,1.0,1.0,1.0,14781.12,0
652,653,15711889,Mao,668.0,France,Male,42.0,3.0,150461.07,1.0,1.0,0.0,108139.23,0
653,654,15664610,Campbell,459.0,Germany,Male,48.0,4.0,133994.52,1.0,1.0,1.0,19287.06,1
654,655,15751710,Ginikanwa,729.0,Spain,Male,31.0,8.0,164870.81,2.0,1.0,1.0,9567.39,0
655,656,15692926,Toscani,498.0,Germany,Male,25.0,8.0,121702.73,1.0,1.0,1.0,132210.49,0
656,657,15813741,Nnachetam,549.0,Spain,Male,25.0,6.0,193858.2,1.0,0.0,1.0,21600.11,0
657,658,15698474,Sagese,601.0,Germany,Female,54.0,1.0,131039.97,2.0,1.0,1.0,199661.5,0
658,659,15568595,Fleming,544.0,France,Male,64.0,9.0,113829.45,1.0,1.0,1.0,124341.49,0
659,660,15603065,Grubb,751.0,France,Female,30.0,6.0,0.0,2.0,1.0,0.0,15766.1,0
660,661,15592937,Napolitani,632.0,Germany,Female,41.0,3.0,81877.38,1.0,1.0,1.0,33642.21,0
661,662,15699637,Anenechi,694.0,Spain,Male,57.0,8.0,116326.07,1.0,1.0,1.0,117704.65,0
662,663,15667215,Chandler,678.0,France,Male,31.0,2.0,0.0,2.0,1.0,1.0,58803.28,0
663,664,15788659,Howells,695.0,France,Male,46.0,4.0,0.0,2.0,1.0,1.0,137537.22,0
664,665,15763218,Akeroyd,661.0,France,Female,41.0,1.0,0.0,2.0,0.0,1.0,131300.68,0
665,666,15645772,Onwumelu,661.0,France,Male,33.0,9.0,0.0,2.0,1.0,1.0,84174.81,0
666,667,15725511,Wallace,559.0,France,Female,31.0,3.0,127070.73,1.0,0.0,1.0,160941.78,0
667,668,15575024,Uwaezuoke,503.0,France,Male,29.0,3.0,0.0,2.0,1.0,1.0,143954.99,0
668,669,15640825,Loyau,695.0,Spain,Male,46.0,3.0,122549.64,1.0,1.0,1.0,56297.85,0
669,670,15662397,Small,640.0,France,Female,42.0,5.0,176099.13,1.0,1.0,1.0,8404.73,0
670,671,15576368,Bledsoe,624.0,Germany,Female,48.0,3.0,122388.38,2.0,0.0,0.0,30020.09,0
671,672,15674991,Kao,667.0,France,Male,42.0,9.0,0.0,,0.0,1.0,58137.42,0
672,673,15721024,Wickens,642.0,France,Male,26.0,0.0,0.0,1.0,0.0,0.0,47472.68,0
673,674,15745621,Wertheim,640.0,Spain,Female,32.0,6.0,118879.35,2.0,1.0,1.0,19131.71,0
674,675,15642394,He,529.0,Spain,Male,35.0,5.0,0.0,2.0,1.0,1.0,187288.5,0
675,676,15754605,Jarvis,563.0,France,Female,39.0,5.0,0.0,2.0,1.0,1.0,17603.81,0
676,677,15607040,P'an,593.0,Spain,Female,38.0,4.0,88736.44,2.0,1.0,0.0,67020.03,0
677,678,15715142,Repina,739.0,Germany,Male,45.0,7.0,102703.62,1.0,0.0,1.0,147802.94,1
678,679,15810978,Pugliesi,788.0,Spain,Female,70.0,1.0,0.0,2.0,1.0,1.0,41610.62,0
679,680,15668886,Blakey,684.0,Spain,Female,38.0,3.0,0.0,2.0,1.0,0.0,44255.65,0
680,681,15780804,Nucci,482.0,France,Male,55.0,5.0,97318.25,1.0,0.0,1.0,78416.14,0
681,682,15613880,Higinbotham,591.0,Spain,Male,58.0,5.0,128468.69,1.0,0.0,1.0,137254.55,0
682,683,15775238,Achebe,651.0,Germany,Female,41.0,4.0,133432.59,1.0,0.0,1.0,151303.48,0
683,684,15786905,Russo,749.0,Germany,Female,40.0,8.0,141782.57,2.0,0.0,0.0,86333.63,0
684,685,15747867,Trevisani,583.0,France,Male,24.0,9.0,135125.28,1.0,0.0,0.0,89801.9,0
685,686,15600337,Dobie,661.0,Spain,Male,42.0,2.0,178820.91,1.0,,0.0,29358.57,1
686,687,15801277,Maccallum,715.0,France,Female,31.0,2.0,112212.14,2.0,1.0,1.0,181600.72,0
687,688,15579334,Watkins,769.0,Germany,Female,45.0,5.0,126674.81,1.0,1.0,0.0,124118.71,1
688,689,15802741,Mitchel,625.0,France,Female,51.0,7.0,136294.97,1.0,1.0,0.0,38867.46,1
689,690,15720649,Ferdinand,641.0,France,Female,36.0,5.0,66392.64,1.0,1.0,0.0,31106.67,0
690,691,15589493,Otitodilinna,716.0,Germany,Male,27.0,1.0,,2.0,1.0,0.0,67611.36,0
691,692,15688251,Mamelu,767.0,France,Male,43.0,1.0,76408.85,2.0,1.0,0.0,77837.63,0
692,693,15665238,Beneventi,745.0,Germany,Male,36.0,8.0,145071.24,1.0,0.0,0.0,6078.46,0
693,694,15740900,Perrodin,589.0,France,,,6.0,0.0,2.0,1.0,1.0,177896.92,0
694,695,15681068,Chinagorom,796.0,France,Female,45.0,2.0,109730.22,1.0,1.0,1.0,123882.73,0
695,696,15748625,Napolitano,664.0,France,Male,57.0,6.0,0.0,2.0,1.0,1.0,15304.08,0
696,697,15727299,Edgar,445.0,Spain,Male,62.0,1.0,64119.38,1.0,1.0,1.0,76569.64,1
697,698,15620204,Walker,543.0,Germany,Female,57.0,1.0,106138.33,2.0,1.0,1.0,120657.32,1
698,699,15669516,Steele,746.0,Spain,Male,36.0,2.0,0.0,2.0,1.0,1.0,16436.56,0
699,700,15736534,Elkins,742.0,Germany,Male,33.0,0.0,181656.51,1.0,1.0,1.0,107667.91,0
700,701,15803457,Hao,750.0,France,Female,32.0,5.0,0.0,2.0,1.0,0.0,95611.47,0
701,702,15659098,Toscano,669.0,France,Male,30.0,7.0,95128.86,1.0,0.0,0.0,19799.26,0
702,703,15603436,Savage,594.0,Spain,Female,49.0,2.0,126615.94,2.0,0.0,1.0,123214.74,0
703,704,15566292,Okwuadigbo,574.0,Spain,Male,36.0,1.0,0.0,,0.0,1.0,71709.12,0
704,705,15808621,Mordvinova,659.0,Germany,Male,36.0,2.0,76190.48,2.0,1.0,1.0,149066.14,0
705,706,15580148,Welch,750.0,Germany,Male,40.0,5.0,168286.81,3.0,1.0,0.0,20451.99,1
706,707,15776231,Kent,626.0,Germany,Male,35.0,4.0,88109.81,1.0,1.0,1.0,32825.5,0
707,708,15773809,Campbell,620.0,France,Male,42.0,4.0,0.0,2.0,1.0,0.0,6232.31,0
708,709,15649423,Cooper,580.0,France,Female,35.0,8.0,0.0,2.0,0.0,1.0,10357.03,0
709,710,15734886,Mazzi,686.0,France,,34.0,3.0,123971.51,2.0,1.0,0.0,147794.63,0
710,711,15722548,Fisher,540.0,France,Male,48.0,0.0,148116.48,1.0,0.0,0.0,116973.48,0
711,712,15650288,Summers,634.0,Germany,Male,35.0,6.0,,1.0,1.0,0.0,129964.94,0
712,713,15629448,Brady,632.0,Spain,Male,38.0,1.0,120599.21,1.0,1.0,0.0,92816.86,0
713,714,15716164,Nicholls,501.0,France,Female,41.0,3.0,144260.5,1.0,1.0,0.0,172114.67,0
714,715,15807609,Yuan,650.0,Spain,Female,,3.0,86605.5,3.0,1.0,0.0,16649.31,1
715,716,15578977,Robinson,786.0,France,Male,34.0,9.0,0.0,2.0,1.0,0.0,144517.19,0
716,717,15677369,Golubov,554.0,Germany,Female,37.0,4.0,58629.97,1.0,0.0,0.0,182038.6,0
717,718,15804072,Chen,701.0,Spain,Female,42.0,5.0,0.0,2.0,0.0,0.0,24210.56,0
718,719,15696859,Oldham,474.0,France,Male,45.0,10.0,0.0,2.0,0.0,0.0,172175.9,0
719,720,15653780,Kambinachi,621.0,France,Female,43.0,5.0,0.0,1.0,1.0,1.0,47578.45,0
720,721,15721658,Fleming,672.0,Spain,Female,56.0,2.0,209767.31,2.0,1.0,1.0,150694.42,1
721,722,15578761,Cunningham,459.0,Spain,Female,42.0,6.0,129634.25,2.0,1.0,1.0,177683.02,1
722,723,15736879,Obinna,669.0,France,Male,23.0,1.0,0.0,2.0,0.0,0.0,66088.83,0
723,724,15571973,Chinwemma,776.0,France,Female,38.0,2.0,169824.46,1.0,1.0,0.0,169291.7,0
724,725,15626742,Carpenter,694.0,France,Male,36.0,3.0,97530.25,1.0,1.0,1.0,117140.41,0
725,726,15672692,Yin,787.0,France,Female,42.0,10.0,145988.65,2.0,1.0,1.0,79510.37,0
726,727,15673570,Olsen,580.0,France,Male,37.0,9.0,0.0,2.0,0.0,1.0,77108.66,0
727,728,15767432,Ts'ai,711.0,France,Female,25.0,7.0,0.0,3.0,1.0,1.0,9679.28,0
728,729,15654238,Jen,673.0,France,Female,40.0,5.0,137494.28,1.0,1.0,0.0,81753.92,0
729,730,15612525,Preston,499.0,France,Female,57.0,1.0,0.0,1.0,0.0,0.0,131372.38,1
730,731,15812750,Ozioma,591.0,France,Male,24.0,6.0,147360.0,1.0,1.0,1.0,25310.82,0
731,732,15790757,Cody,769.0,France,Female,25.0,10.0,0.0,2.0,0.0,0.0,187925.75,0
732,733,15723873,Ponomarev,657.0,Spain,Male,31.0,3.0,125167.02,1.0,0.0,0.0,98820.39,0
733,734,15744607,Martin,738.0,Germany,Male,,9.0,121152.05,2.0,1.0,0.0,64166.7,1
734,735,15612966,Milani,545.0,Germany,Female,60.0,7.0,128981.07,1.0,0.0,1.0,176924.21,1
735,736,15784209,Tang,497.0,France,Male,47.0,6.0,0.0,1.0,1.0,1.0,90055.08,0
736,737,15794278,Romani,816.0,Spain,Male,67.0,6.0,151858.98,1.0,1.0,1.0,72814.31,0
737,738,15766741,McIntyre,525.0,France,Male,36.0,2.0,114628.4,1.0,0.0,1.0,168290.06,0
738,739,15661036,Davis,725.0,France,Male,46.0,6.0,0.0,2.0,1.0,0.0,161767.38,0
739,740,15705639,Onyemauchechukwu,692.0,France,Female,28.0,8.0,95059.02,2.0,1.0,0.0,44420.18,0
740,741,15637414,Gell,618.0,France,Female,24.0,7.0,128736.39,1.0,0.0,1.0,37147.61,0
741,742,15716835,Rossi,546.0,France,Male,24.0,8.0,156325.38,1.0,1.0,1.0,125381.02,0
742,743,15696231,Chiwetelu,635.0,France,Male,29.0,7.0,105405.97,1.0,1.0,1.0,149853.89,0
743,744,15641675,Kirillova,611.0,France,Female,49.0,2.0,88915.37,3.0,0.0,0.0,161435.02,1
744,745,15670755,Shaw,650.0,France,Male,60.0,8.0,0.0,2.0,1.0,1.0,102925.76,0
745,746,15640059,Smith,606.0,France,Male,40.0,5.0,0.0,2.0,1.0,1.0,70899.27,0
746,747,15787619,Hsieh,844.0,France,Male,18.0,2.0,160980.03,1.0,0.0,0.0,145936.28,0
747,748,15587535,Onyemauchechukwu,450.0,Spain,Female,46.0,5.0,177619.71,1.0,1.0,0.0,54227.06,0
748,749,15813034,Martin,727.0,Spain,Male,38.0,2.0,62276.99,1.0,1.0,1.0,59280.79,0
749,750,15698839,Okwudilichukwu,460.0,Germany,Male,46.0,4.0,127559.97,2.0,1.0,1.0,126952.5,0
750,751,15790314,Onuoha,649.0,France,Male,41.0,0.0,0.0,2.0,0.0,1.0,130567.02,0
751,752,15634245,Muecke,758.0,Germany,Female,47.0,9.0,95523.16,1.0,1.0,0.0,73294.48,0
752,753,15677305,Hsieh,490.0,France,Female,35.0,7.0,107749.03,1.0,1.0,1.0,3937.37,0
753,754,15661526,Anderson,815.0,Germany,Male,37.0,2.0,110777.26,2.0,,0.0,2383.59,0
754,755,15685997,Azubuike,838.0,Spain,Female,39.0,5.0,166733.92,2.0,1.0,0.0,14279.44,0
755,756,15660101,Nnonso,803.0,France,Male,31.0,9.0,157120.86,2.0,1.0,0.0,141300.53,0
756,757,15637979,Fuller,664.0,Germany,Female,36.0,2.0,127160.78,2.0,1.0,0.0,78140.75,0
757,758,15815364,Ashley,736.0,Spain,Female,28.0,2.0,0.0,2.0,1.0,1.0,117431.1,0
758,759,15647099,Ts'ui,633.0,France,Female,37.0,9.0,156091.97,1.0,1.0,0.0,72008.61,0
759,760,15625944,Buccho,664.0,France,,58.0,5.0,98668.18,1.0,1.0,1.0,60887.58,0
760,761,15583212,Chidozie,600.0,France,Female,43.0,5.0,134022.06,1.0,1.0,0.0,194764.83,0
761,762,15582741,Maclean,693.0,France,Female,35.0,5.0,124151.09,1.0,1.0,0.0,88705.14,1
762,763,15637876,Burns,663.0,Germany,Female,36.0,6.0,77253.5,1.0,0.0,0.0,35817.97,1
763,764,15622750,Chu,742.0,Germany,Female,21.0,1.0,114292.48,1.0,1.0,0.0,31520.4,0
764,765,15672056,Kenenna,710.0,Germany,Male,43.0,2.0,140080.32,3.0,1.0,1.0,157908.19,1
765,766,15812351,Beluchi,710.0,Spain,Female,27.0,2.0,135277.96,1.0,1.0,0.0,142200.15,0
766,767,15810864,Williamson,700.0,France,Female,82.0,2.0,0.0,2.0,0.0,1.0,182055.36,0
767,768,15677921,Bobrov,720.0,Germany,Male,60.0,9.0,115920.62,2.0,0.0,0.0,157552.08,1
768,769,15724296,Kerr,684.0,Spain,Male,41.0,2.0,119782.72,2.0,0.0,0.0,120284.67,0
769,770,15685329,McKenzie,531.0,France,Female,63.0,1.0,114715.71,1.0,0.0,1.0,24506.95,1
770,771,15584091,Pitts,742.0,Germany,Female,36.0,2.0,129748.54,2.0,0.0,0.0,47271.61,1
771,772,15640442,Standish,717.0,France,Male,31.0,4.0,129722.57,1.0,0.0,0.0,41176.6,0
772,773,15639314,Cartwright,589.0,France,Male,32.0,2.0,0.0,,0.0,1.0,9468.64,0
773,774,15685320,Johnstone,767.0,France,Male,36.0,3.0,139180.2,1.0,0.0,0.0,123880.19,0
774,775,15789158,Nikitina,636.0,Germany,Male,49.0,6.0,113599.74,2.0,1.0,0.0,158887.09,1
775,776,15752137,McElroy,648.0,France,Male,33.0,7.0,134944.0,1.0,1.0,1.0,117036.38,0
776,777,15712551,Shen,622.0,Germany,Female,58.0,7.0,116922.25,1.0,1.0,0.0,120415.61,1
777,778,15628936,Archer,692.0,Spain,Male,28.0,9.0,118945.09,1.0,0.0,0.0,16064.25,1
778,779,15797227,Otutodilinna,754.0,France,Male,28.0,8.0,0.0,2.0,1.0,1.0,52615.62,0
779,780,15769974,Shih,679.0,,Female,35.0,8.0,119182.73,1.0,0.0,0.0,121210.09,0
780,781,15737051,Denisov,639.0,France,Male,27.0,8.0,0.0,2.0,1.0,0.0,192247.35,0
781,782,15585595,Owens,774.0,France,Female,,1.0,71264.02,2.0,0.0,1.0,68759.57,0
782,783,15654060,P'eng,517.0,France,Male,41.0,2.0,0.0,2.0,0.0,1.0,75937.47,0
783,784,15745196,Verco,571.0,France,Female,35.0,8.0,0.0,2.0,0.0,0.0,84569.13,0
784,785,15571221,Bergamaschi,747.0,Germany,Male,58.0,7.0,116313.57,1.0,1.0,1.0,190696.35,1
785,786,15660155,Lorenzo,792.0,Spain,Male,36.0,5.0,92140.15,1.0,0.0,1.0,67468.67,0
786,787,15605284,Outtrim,688.0,France,Male,26.0,1.0,0.0,2.0,1.0,1.0,104435.94,0
787,788,15694366,Hou,714.0,Germany,Male,42.0,2.0,177640.09,1.0,0.0,1.0,47166.55,0
788,789,15600739,Galkin,562.0,Spain,Female,35.0,0.0,0.0,2.0,1.0,0.0,119899.52,0
789,790,15653253,Pagnotto,704.0,Spain,Male,48.0,8.0,167997.6,1.0,1.0,1.0,173498.45,0
790,791,15763431,Echezonachukwu,698.0,France,Male,36.0,2.0,82275.35,2.0,1.0,1.0,93249.26,0
791,792,15643696,Young,611.0,France,Male,49.0,3.0,0.0,2.0,1.0,1.0,142917.54,0
792,793,15707473,Summers,850.0,,Female,48.0,6.0,111962.99,1.0,1.0,0.0,111755.8,0
793,794,15769504,Munro,743.0,Germany,Female,34.0,1.0,131736.88,1.0,1.0,1.0,108543.21,0
794,795,15776807,Brennan,654.0,France,Male,29.0,1.0,0.0,1.0,1.0,0.0,180345.44,0
795,796,15686870,Ball,761.0,Germany,Male,36.0,8.0,108239.11,2.0,0.0,0.0,99444.02,0
796,797,15668747,Virgo,702.0,France,Female,46.0,9.0,98444.19,1.0,0.0,1.0,109563.28,0
797,798,15766908,Trevisani,488.0,Germany,Male,32.0,3.0,114540.38,1.0,1.0,0.0,92568.07,0
798,799,15570134,Padovano,683.0,France,Female,35.0,6.0,187530.66,2.0,1.0,1.0,37976.36,0
799,800,15567367,Tao,601.0,Germany,Female,42.0,9.0,133636.16,1.0,0.0,1.0,103315.74,0
800,801,15747542,Perez,605.0,France,Male,52.0,7.0,0.0,2.0,1.0,1.0,173952.5,0
801,802,15762238,Fraser,671.0,Germany,Female,44.0,0.0,84745.03,2.0,0.0,1.0,34673.98,0
802,803,15681554,Alley,614.0,Germany,Female,31.0,7.0,120599.38,2.0,1.0,1.0,46163.44,0
803,804,15712825,Howells,511.0,Spain,Female,29.0,9.0,0.0,2.0,0.0,1.0,140676.98,0
804,805,15640280,Cameron,850.0,France,Male,39.0,4.0,127771.35,2.0,0.0,1.0,151738.54,0
805,806,15756026,Hooper,790.0,Spain,Female,46.0,9.0,0.0,1.0,0.0,0.0,14679.81,1
806,807,15613319,Rice,793.0,France,Female,33.0,0.0,0.0,1.0,0.0,0.0,175544.02,0
807,808,15798906,Cox,628.0,France,Male,69.0,5.0,0.0,2.0,1.0,1.0,181964.6,0
808,809,15708917,Martin,598.0,Germany,Male,53.0,10.0,167772.96,1.0,1.0,1.0,136886.86,0
809,810,15778463,Ikenna,657.0,France,Female,37.0,6.0,95845.6,1.0,1.0,0.0,122218.23,0
810,811,15699430,Davide,618.0,France,Female,35.0,10.0,0.0,2.0,1.0,0.0,180439.75,0
811,812,15649992,Alexander,681.0,Spain,Male,65.0,7.0,134714.7,2.0,0.0,1.0,190419.81,0
812,813,15578980,Piazza,516.0,Spain,Female,33.0,3.0,0.0,2.0,1.0,1.0,58685.59,0
813,814,15775306,Ni,421.0,Germany,Male,28.0,8.0,122384.22,3.0,1.0,1.0,89017.38,1
814,815,15641655,Black,700.0,France,Female,26.0,2.0,0.0,2.0,0.0,0.0,50051.42,0
815,816,15619708,Harker,745.0,France,Male,25.0,5.0,157993.15,2.0,1.0,0.0,146041.45,0
816,817,15734565,Hughes,696.0,,,29.0,8.0,0.0,2.0,1.0,0.0,191166.09,0
817,818,15806438,Chiabuotu,580.0,Germany,Female,42.0,2.0,123331.36,1.0,0.0,0.0,103516.08,1
818,819,15591969,Kuo,497.0,Spain,Male,27.0,9.0,75263.16,1.0,1.0,1.0,164825.04,0
819,820,15747807,Gallagher,720.0,France,Female,43.0,6.0,137824.03,2.0,1.0,0.0,172557.77,0
820,821,15596939,Calabresi,659.0,Germany,Male,36.0,4.0,132578.92,2.0,1.0,0.0,84320.94,0
821,822,15716155,Shaw,841.0,France,Female,36.0,5.0,156021.31,1.0,0.0,0.0,122662.98,0
822,823,15765311,Zhirov,642.0,Spain,Male,34.0,8.0,0.0,1.0,1.0,0.0,72085.1,0
823,824,15757811,Lloyd,732.0,Spain,Female,69.0,9.0,137453.43,,0.0,1.0,110932.24,1
824,825,15603830,Palmer,600.0,Spain,Male,36.0,4.0,0.0,2.0,1.0,0.0,143635.36,0
825,826,15660602,Ch'eng,464.0,Germany,Male,33.0,8.0,164284.72,2.0,1.0,1.0,3710.34,0
826,827,15660535,Avent,680.0,France,Female,47.0,5.0,0.0,2.0,1.0,1.0,179843.33,0
827,828,15666633,Huang,758.0,Spain,Male,56.0,1.0,0.0,2.0,1.0,1.0,10643.38,0
828,829,15596914,Shaw,630.0,,Female,31.0,2.0,112373.49,2.0,1.0,1.0,131167.98,0
829,830,15639788,Yuan,577.0,France,Female,39.0,10.0,0.0,2.0,1.0,0.0,10553.31,0
830,831,15695846,Hawkins,684.0,France,Female,34.0,6.0,0.0,2.0,1.0,1.0,130928.22,0
831,832,15726234,Trentini,708.0,Spain,Female,41.0,5.0,0.0,1.0,0.0,1.0,157003.99,0
832,833,15797964,Cameron,732.0,Germany,Female,29.0,1.0,154333.82,1.0,1.0,1.0,138527.56,0
833,834,15625881,Koehler,634.0,Germany,Male,37.0,3.0,111432.77,2.0,1.0,1.0,167032.49,0
834,835,15780628,Wu,633.0,France,Female,30.0,6.0,0.0,2.0,0.0,0.0,41642.29,0
835,836,15575883,Manna,559.0,France,Male,34.0,2.0,137390.11,2.0,1.0,0.0,9677.0,0
836,837,15585036,Okoli,694.0,Spain,Female,37.0,3.0,0.0,2.0,1.0,1.0,147012.22,0
837,838,15589488,Ch'eng,686.0,Germany,Female,56.0,5.0,111642.08,1.0,1.0,1.0,80553.87,0
838,839,15585888,Nwokezuike,553.0,Spain,Female,48.0,3.0,0.0,1.0,0.0,1.0,30730.95,1
839,840,15727915,Artemiev,507.0,France,Male,36.0,4.0,83543.37,1.0,0.0,0.0,140134.43,0
840,841,15707567,Esposito,732.0,Germany,Male,50.0,6.0,145338.76,1.0,0.0,0.0,91936.1,1
841,842,15737792,Abbie,818.0,France,Female,31.0,1.0,186796.37,1.0,0.0,0.0,178252.63,0
842,843,15599433,Fanucci,660.0,Germany,Male,35.0,8.0,58641.43,1.0,0.0,1.0,198674.08,0
843,844,15672012,Jen,773.0,Spain,Female,41.0,5.0,0.0,1.0,1.0,0.0,28266.9,1
844,845,15806983,Moss,640.0,France,Male,44.0,3.0,137148.68,1.0,1.0,0.0,92381.01,0
845,846,15592222,Lo,505.0,France,Male,49.0,7.0,80001.23,1.0,0.0,0.0,135180.11,0
846,847,15608968,Averyanov,714.0,Germany,Male,21.0,6.0,86402.52,2.0,0.0,0.0,27330.59,0
847,848,15586959,Unaipon,468.0,France,Female,42.0,5.0,0.0,2.0,1.0,0.0,125305.34,0
848,849,15646558,Clamp,611.0,Spain,Male,51.0,1.0,122874.74,1.0,1.0,1.0,149648.45,0
849,850,15725811,Lim,705.0,France,Male,25.0,0.0,97544.29,1.0,0.0,1.0,59887.15,0
850,851,15572265,Wu,646.0,Germany,Male,46.0,1.0,170826.55,2.0,1.0,0.0,45041.32,0
851,852,15794048,Wan,667.0,Germany,Female,48.0,1.0,97133.92,2.0,0.0,0.0,113316.77,1
852,853,15677610,Chambers,511.0,Germany,Female,41.0,8.0,153895.65,1.0,1.0,1.0,39087.42,0
853,854,15745012,Pettit,653.0,France,,43.0,6.0,0.0,2.0,1.0,1.0,7330.59,0
854,855,15601589,Baresi,675.0,France,Female,57.0,8.0,0.0,2.0,0.0,1.0,95463.29,0
855,856,15686436,Newbery,523.0,Spain,Male,32.0,4.0,0.0,2.0,1.0,0.0,167848.02,0
856,857,15693864,Iheanacho,567.0,Germany,Female,49.0,5.0,134956.02,1.0,1.0,0.0,93953.84,1
857,858,15760550,Duncan,741.0,Spain,Male,39.0,7.0,143637.58,2.0,0.0,1.0,174227.66,0
858,859,15686137,Barry,456.0,Spain,Male,32.0,9.0,147506.25,1.0,1.0,1.0,135399.21,0
859,860,15809087,Landry,598.0,France,Male,64.0,1.0,0.0,,1.0,0.0,195635.3,1
860,861,15807663,McGregor,667.0,France,Male,43.0,8.0,190227.46,1.0,1.0,0.0,97508.04,1
861,862,15809100,Nucci,548.0,France,Female,32.0,2.0,,1.0,1.0,0.0,188083.77,1
862,863,15794916,Pirogov,725.0,France,Male,41.0,7.0,113980.21,1.0,1.0,1.0,116704.25,0
863,864,15614215,Oguejiofor,717.0,France,,53.0,6.0,0.0,2.0,0.0,1.0,97614.87,0
864,865,15805449,Ugochukwu,594.0,France,Male,38.0,4.0,0.0,2.0,0.0,0.0,186884.04,0
865,866,15686983,Rohu,678.0,Germany,Female,25.0,10.0,76968.12,2.0,0.0,1.0,131501.72,0
866,867,15808017,Cary,545.0,France,Male,38.0,1.0,88293.13,2.0,1.0,1.0,24302.95,0
867,868,15756804,O'Loghlen,636.0,France,Female,48.0,1.0,170833.46,1.0,1.0,0.0,110510.28,1
868,869,15646810,Quinn,603.0,Germany,Male,44.0,6.0,108122.39,2.0,1.0,0.0,108488.33,1
869,870,15710424,Page,435.0,France,Male,36.0,4.0,0.0,1.0,1.0,1.0,197015.2,0
870,871,15799422,Evans,535.0,,Female,40.0,8.0,0.0,1.0,1.0,1.0,27689.77,0
871,872,15692750,McGregor,629.0,Germany,Female,45.0,7.0,129818.39,3.0,,0.0,9217.55,1
872,873,15794549,Andrews,722.0,France,Female,35.0,2.0,163943.89,2.0,1.0,1.0,15068.18,0
873,874,15803764,Stanley,561.0,France,Male,28.0,7.0,0.0,2.0,1.0,0.0,7797.01,0
874,875,15674840,Chiazagomekpere,645.0,France,Female,38.0,5.0,101430.3,2.0,0.0,1.0,4400.32,0
875,876,15653762,Chidiebele,501.0,,Female,39.0,9.0,117301.66,1.0,0.0,0.0,182025.95,0
876,877,15581229,Gregory,502.0,Germany,Female,32.0,1.0,173340.83,1.0,0.0,1.0,122763.95,0
877,878,15800228,Bednall,652.0,Spain,Female,42.0,4.0,0.0,2.0,1.0,1.0,38152.01,0
878,879,15656333,Jen,574.0,France,Female,33.0,3.0,134348.57,1.0,1.0,0.0,63163.99,0
879,880,15697497,She,518.0,France,Female,45.0,9.0,105525.65,2.0,1.0,1.0,73418.29,0
880,881,15585362,Simmons,749.0,France,Female,60.0,6.0,0.0,1.0,1.0,0.0,17978.68,1
881,882,15571928,Fraser,679.0,France,Female,43.0,4.0,0.0,3.0,1.0,0.0,115136.51,1
882,883,15785519,May,565.0,France,Male,36.0,6.0,106192.1,1.0,1.0,0.0,149575.59,0
883,884,15743007,Seabrook,643.0,France,Female,45.0,4.0,45144.43,1.0,1.0,0.0,60917.24,1
884,885,15777211,Herrera,515.0,France,Male,65.0,7.0,92113.61,1.0,1.0,1.0,142548.33,0
885,886,15721935,Kincaid,521.0,France,Male,25.0,7.0,0.0,2.0,1.0,1.0,157878.67,0
886,887,15591711,Sleeman,739.0,Spain,Male,,0.0,128366.44,1.0,1.0,0.0,12796.43,0
887,888,15625021,Hung,585.0,France,Male,42.0,2.0,0.0,2.0,1.0,1.0,18657.77,0
888,889,15702968,Artemieva,733.0,Germany,Male,74.0,3.0,106545.53,1.0,1.0,1.0,134589.58,0
889,890,15600462,Barwell,542.0,France,Female,43.0,8.0,145618.37,1.0,0.0,1.0,10350.74,0
890,891,15768104,Wright,788.0,Spain,Male,37.0,8.0,141541.25,1.0,0.0,0.0,66013.27,0
891,892,15780140,Bellucci,435.0,,Male,32.0,2.0,57017.06,2.0,1.0,1.0,5907.11,0
892,893,15585255,Moore,577.0,France,Male,42.0,9.0,0.0,1.0,1.0,0.0,74077.91,0
893,894,15772781,Ball,703.0,France,Female,51.0,3.0,0.0,3.0,1.0,1.0,77294.56,1
894,895,15669987,Sung,728.0,Germany,Female,35.0,8.0,125884.95,2.0,1.0,0.0,54359.02,1
895,896,15697000,Mello,728.0,Germany,Male,32.0,5.0,61825.5,1.0,1.0,1.0,156124.93,0
896,897,15733119,Mistry,718.0,France,Male,35.0,8.0,0.0,2.0,1.0,0.0,94820.85,0
897,898,15782390,T'ien,621.0,France,Female,40.0,6.0,0.0,1.0,1.0,0.0,155155.25,0
898,899,15654700,Fallaci,523.0,France,Female,40.0,2.0,102967.41,1.0,1.0,0.0,128702.1,1
899,900,15632210,Hill,657.0,Germany,Male,25.0,2.0,171770.55,1.0,1.0,0.0,22745.5,0
900,901,15642041,Burns,727.0,Germany,Male,40.0,1.0,93051.64,2.0,1.0,0.0,71865.31,1
901,902,15709737,Hunter,643.0,France,Male,36.0,7.0,161064.64,2.0,0.0,1.0,84294.82,0
902,903,15792388,Li,645.0,France,Female,48.0,7.0,90612.34,1.0,1.0,1.0,149139.13,0
903,904,15786014,Ku,568.0,France,Male,28.0,5.0,145105.64,2.0,1.0,0.0,185489.11,0
904,905,15794580,Ch'en,599.0,France,Male,58.0,4.0,0.0,1.0,0.0,0.0,176407.15,1
905,906,15675964,Chukwukadibia,672.0,France,Female,45.0,9.0,0.0,1.0,1.0,1.0,92027.69,1
906,907,15814275,Zikoranachidimma,685.0,France,Male,33.0,6.0,174912.72,1.0,1.0,1.0,43932.54,0
907,908,15724848,Oluchukwu,516.0,France,Female,46.0,1.0,104947.72,1.0,1.0,0.0,115789.25,1
908,909,15754713,Rivera,685.0,Spain,Male,31.0,10.0,135213.71,1.0,1.0,1.0,125777.28,0
909,910,15693814,Niu,806.0,Spain,Male,25.0,7.0,0.0,2.0,1.0,0.0,18461.9,0
910,911,15599660,Bennett,604.0,France,Male,36.0,6.0,116229.85,2.0,1.0,1.0,79633.38,0
911,912,15746490,Wollstonecraft,648.0,Spain,Female,53.0,6.0,111201.41,1.0,1.0,1.0,121542.29,0
912,913,15566091,Thomsen,545.0,Spain,Female,32.0,4.0,0.0,1.0,1.0,0.0,94739.2,0
913,914,15655961,Palermo,756.0,Germany,Male,27.0,1.0,131899.0,1.0,1.0,0.0,93302.29,0
914,915,15710404,Chinwendu,569.0,France,,35.0,10.0,124525.52,,1.0,1.0,193793.78,0
915,916,15775625,McKenzie,596.0,France,Male,47.0,6.0,0.0,1.0,1.0,0.0,74835.65,0
916,917,15792328,James,475.0,France,Male,39.0,6.0,0.0,1.0,1.0,1.0,56999.9,1
917,918,15719856,Lamb,646.0,France,Female,,3.0,47134.75,1.0,,1.0,57236.44,0
918,919,15593773,Olejuru,784.0,Spain,Male,35.0,3.0,0.0,2.0,0.0,0.0,81483.64,0
919,920,15733114,Hay,552.0,Spain,Male,45.0,9.0,,2.0,1.0,0.0,26752.56,0
920,921,15797748,Lu,729.0,France,Male,44.0,5.0,,2.0,0.0,1.0,9200.54,0
921,922,15743411,Chiawuotu,609.0,Spain,Male,61.0,1.0,0.0,1.0,1.0,0.0,22447.85,1
922,923,15753337,Yeates,555.0,France,Male,51.0,5.0,0.0,3.0,1.0,0.0,189122.89,1
923,924,15601026,Gallagher,572.0,Germany,Female,19.0,1.0,138657.08,1.0,1.0,1.0,16161.82,0
924,925,15658485,Heath,785.0,France,Female,,9.0,70302.48,1.0,1.0,1.0,68600.36,0
925,926,15636731,Ts'ai,714.0,Germany,Female,36.0,1.0,101609.01,2.0,1.0,1.0,447.73,0
926,927,15628303,Thurgood,738.0,Spain,Male,35.0,3.0,0.0,1.0,1.0,1.0,15650.73,0
927,928,15633461,Pai,639.0,Germany,Male,38.0,5.0,130170.82,1.0,1.0,1.0,149599.62,0
928,929,15677135,Lorenzo,520.0,Germany,Male,61.0,8.0,133802.29,2.0,1.0,1.0,90304.01,0
929,930,15590876,Knupp,764.0,France,Female,24.0,7.0,106234.02,1.0,0.0,0.0,115676.38,0
930,931,15790782,Baryshnikov,661.0,Spain,Male,39.0,6.0,132628.98,1.0,0.0,0.0,38812.67,0
931,932,15700476,Azubuike,564.0,Germany,Male,41.0,9.0,103522.75,2.0,1.0,1.0,34338.21,0
932,933,15634141,Shephard,708.0,Germany,Female,42.0,8.0,192390.52,2.0,1.0,0.0,823.36,0
933,934,15737795,Scott,512.0,Spain,Male,36.0,1.0,0.0,1.0,0.0,1.0,135482.26,1
934,935,15790299,Williamson,592.0,Spain,Male,37.0,9.0,0.0,3.0,1.0,1.0,10656.89,0
935,936,15675316,Avdeeva,619.0,France,,38.0,3.0,0.0,2.0,0.0,1.0,116467.35,0
936,937,15613630,Tang,775.0,France,Male,52.0,8.0,109922.61,1.0,1.0,1.0,96823.32,1
937,938,15662100,Hsu,850.0,Germany,,44.0,5.0,128605.32,1.0,0.0,1.0,171096.2,0
938,939,15668032,Buchanan,577.0,France,Female,37.0,4.0,0.0,1.0,1.0,1.0,79881.39,0
939,940,15599289,Yeh,724.0,France,Female,37.0,10.0,68598.56,1.0,1.0,0.0,157862.82,0
940,941,15754084,Palazzi,710.0,Spain,Male,35.0,1.0,106518.52,1.0,1.0,1.0,127951.81,0
941,942,15676521,,696.0,France,Female,,8.0,0.0,2.0,0.0,0.0,191074.11,0
942,943,15804586,Lin,376.0,France,Female,46.0,6.0,0.0,1.0,1.0,0.0,157333.69,1
943,944,15781465,Schofield,675.0,Germany,Female,29.0,8.0,121326.42,1.0,1.0,0.0,133457.52,0
944,945,15729362,Lombardi,745.0,France,Male,36.0,8.0,67226.37,1.0,1.0,0.0,130789.6,0
945,946,15709295,Wall,697.0,Spain,Female,25.0,5.0,82931.85,2.0,1.0,1.0,128373.88,0
946,947,15745324,Milani,599.0,Spain,Female,39.0,4.0,0.0,1.0,1.0,0.0,194273.2,1
947,948,15741336,Ejimofor,715.0,France,Female,38.0,5.0,118590.41,1.0,1.0,1.0,5684.17,1
948,949,15783659,Blackburn,659.0,France,Male,67.0,4.0,145981.87,1.0,1.0,1.0,131043.2,0
949,950,15620981,Wickham,684.0,France,Female,48.0,3.0,73309.38,1.0,0.0,0.0,21228.34,1
950,951,15630328,Bird,635.0,France,Female,48.0,8.0,130796.33,2.0,1.0,1.0,43250.3,0
951,952,15785899,Ch'en,789.0,Germany,Male,33.0,8.0,151607.56,1.0,1.0,0.0,4389.4,0
952,953,15606149,Wood,571.0,Germany,Female,66.0,9.0,111577.01,1.0,0.0,1.0,189271.9,0
953,954,15671139,Brizendine,694.0,Spain,Male,39.0,0.0,107042.74,1.0,1.0,1.0,102284.2,0
954,955,15660429,Ch'in,665.0,Spain,,42.0,2.0,156371.61,2.0,0.0,1.0,156774.94,1
955,956,15571002,Yusupov,706.0,France,,44.0,,129605.99,1.0,0.0,0.0,69865.49,0
956,957,15631681,Jibunoh,807.0,Spain,Female,43.0,0.0,0.0,2.0,0.0,1.0,85523.24,0
957,958,15731522,Ts'ui,771.0,Spain,Female,67.0,8.0,0.0,2.0,1.0,1.0,51219.8,0
958,959,15619529,Ndukaku,531.0,Spain,Male,27.0,8.0,132576.25,1.0,0.0,0.0,7222.92,0
959,960,15628034,Wilder,629.0,France,Female,37.0,6.0,129101.3,1.0,1.0,1.0,23971.33,0
960,961,15686164,Maclean,850.0,Germany,Female,31.0,1.0,108822.4,1.0,1.0,1.0,132173.31,0
961,962,15582797,Ch'iu,685.0,Spain,Male,35.0,,137948.51,1.0,1.0,0.0,113639.64,0
962,963,15753831,Cox,642.0,Spain,Male,32.0,7.0,100433.8,1.0,1.0,1.0,39768.59,0
963,964,15731815,Nepean,529.0,Spain,Male,63.0,4.0,96134.11,3.0,1.0,0.0,108732.96,1
964,965,15580956,McNess,683.0,Germany,Female,43.0,4.0,115888.04,1.0,1.0,1.0,117349.19,1
965,966,15602084,Coles,663.0,France,Female,,5.0,124626.07,1.0,1.0,1.0,78004.5,0
966,967,15589805,Benson,563.0,France,Female,34.0,6.0,139810.34,1.0,1.0,1.0,152417.79,0
967,968,15720893,Gilbert,637.0,Spain,Female,34.0,9.0,0.0,2.0,0.0,0.0,26057.08,0
968,969,15641009,Wilhelm,544.0,France,Male,37.0,3.0,84496.71,1.0,0.0,0.0,79972.09,0
969,970,15605926,Sinclair,649.0,Germany,Male,70.0,9.0,116854.71,2.0,0.0,1.0,107125.79,0
970,971,15805955,,638.0,France,Female,48.0,10.0,138333.03,1.0,1.0,1.0,47679.14,0
971,972,15801488,Buckner,723.0,France,Male,25.0,3.0,0.0,2.0,1.0,1.0,134509.47,0
972,973,15605918,Padovesi,635.0,Germany,Male,43.0,5.0,78992.75,2.0,0.0,0.0,153265.31,0
973,974,15779711,Gray,750.0,Spain,Female,38.0,7.0,97257.41,2.0,0.0,1.0,179883.04,0
974,975,15705620,Lu,730.0,France,Male,34.0,5.0,122453.37,2.0,1.0,0.0,138882.98,0
975,976,15685357,Wright,750.0,Spain,Female,36.0,8.0,112940.07,1.0,0.0,1.0,9855.81,0
976,977,15570060,Palerma,586.0,France,Female,43.0,8.0,132558.26,1.0,1.0,0.0,67046.83,1
977,978,15582616,,520.0,,Female,38.0,4.0,0.0,2.0,1.0,0.0,56388.63,0
978,979,15799515,Wei,652.0,France,Female,48.0,8.0,133297.24,1.0,1.0,0.0,77764.37,0
979,980,15642937,Padovesi,550.0,France,Female,46.0,7.0,0.0,2.0,1.0,0.0,130590.35,0
980,981,15624729,Tsao,594.0,France,Male,27.0,0.0,197041.8,1.0,0.0,0.0,151912.49,0
981,982,15566156,Franklin,749.0,Germany,Female,44.0,0.0,71497.79,2.0,0.0,0.0,151083.8,0
982,983,15792360,Clark,668.0,France,Male,32.0,7.0,0.0,2.0,1.0,1.0,777.37,0
983,984,15807008,McGregor,614.0,Germany,Female,35.0,6.0,128100.28,1.0,0.0,0.0,69454.24,1
984,985,15704770,Pan,773.0,France,Male,25.0,1.0,124532.78,2.0,0.0,1.0,11723.57,0
985,986,15756475,Kenniff,551.0,Germany,Male,31.0,9.0,82293.82,2.0,1.0,1.0,91565.25,0
986,987,15655339,Spencer,566.0,France,Male,36.0,1.0,142120.91,1.0,1.0,0.0,79616.37,0
987,988,15613749,Lees,569.0,Spain,Male,34.0,0.0,151839.26,1.0,1.0,0.0,102299.81,1
988,989,15664521,David,659.0,Spain,Male,31.0,7.0,149620.88,2.0,1.0,1.0,104533.51,0
989,990,15681206,Hsing,722.0,France,Female,49.0,3.0,168197.66,1.0,1.0,0.0,140765.57,1
990,991,15745527,Burke,655.0,France,Male,37.0,5.0,93147.0,2.0,1.0,0.0,66214.13,0
991,992,15806926,Watson,615.0,France,Female,,2.0,97440.02,2.0,1.0,1.0,139816.1,0
992,993,15724563,Hawkins,752.0,Germany,Female,42.0,3.0,65046.08,2.0,0.0,1.0,140139.28,0
993,994,15782899,Ginn,661.0,Spain,Female,28.0,7.0,95357.49,1.0,0.0,0.0,102297.15,0
994,995,15623521,Sozonov,838.0,Spain,Male,43.0,9.0,123105.88,2.0,1.0,0.0,145765.83,0
995,996,15810218,Sun,610.0,Spain,Male,29.0,9.0,0.0,3.0,0.0,1.0,83912.24,0
996,997,15645621,Hunter,811.0,Spain,Male,44.0,3.0,0.0,2.0,0.0,1.0,78439.73,0
997,998,15608114,Manfrin,587.0,Spain,Male,62.0,7.0,121286.27,1.0,0.0,1.0,6776.92,0
998,999,15659557,Artamonova,811.0,Germany,Female,28.0,4.0,167738.82,2.0,1.0,1.0,9903.42,0