RowNumber
int64
CustomerId
int64
Surname
string
CreditScore
int64
Geography
string
Gender
string
Age
int64
Tenure
int64
Balance
float64
NumOfProducts
int64
HasCrCard
int64
IsActiveMember
int64
EstimatedSalary
float64
Exited
int64
4,201
15,751,943
Mai
529
Spain
Female
43
5
0
2
0
0
79,476.63
0
4,202
15,621,227
Hs?eh
668
Germany
Female
46
7
161,806.09
1
1
1
173,052.19
0
4,203
15,757,588
Wright
526
France
Male
30
9
0
2
0
0
100,995.68
0
4,204
15,640,922
Demaine
791
France
Female
52
7
0
1
1
1
122,782.5
0
4,205
15,567,557
Chien
573
France
Male
27
2
128,243.03
1
1
1
11,631.34
0
4,206
15,670,103
Dickinson
565
France
Female
38
5
126,645.13
1
1
1
168,303.55
0
4,207
15,720,929
Kazantseva
604
France
Female
47
8
62,094.71
3
0
0
9,308.1
1
4,208
15,732,774
Marchesi
656
France
Male
37
7
112,291.34
1
1
0
153,157.97
0
4,209
15,628,558
Pan
447
France
Female
44
5
89,188.83
1
1
1
75,408.24
0
4,210
15,729,201
Harewood
682
France
Male
55
9
0
1
1
0
153,356.8
1
4,211
15,731,117
Kao
437
Spain
Male
28
2
109,161.25
1
1
0
152,987.42
0
4,212
15,615,207
Yeh
792
Spain
Male
47
0
0
1
1
1
5,557.88
1
4,213
15,773,512
Bischof
627
Spain
Female
25
4
0
1
1
1
194,313.93
0
4,214
15,572,145
Ashton
767
France
Female
34
8
0
2
1
0
94,767.77
0
4,215
15,642,710
Napolitani
686
France
Male
26
7
0
2
1
0
1,540.89
0
4,216
15,574,213
Wilson
789
France
Female
53
1
158,271.74
1
1
1
5,036.39
1
4,217
15,718,852
Uren
794
France
Male
56
9
96,951.21
1
1
1
71,776.76
0
4,218
15,583,840
Okechukwu
587
Germany
Male
35
5
121,863.61
1
1
1
23,481.69
1
4,219
15,782,418
Ku
589
Germany
Female
19
9
83,495.11
1
1
1
143,022.31
1
4,220
15,813,504
Onyemachukwu
543
Germany
Female
25
1
146,566.01
1
0
1
161,407.48
0
4,221
15,711,314
Kao
589
Spain
Female
45
1
0
1
0
0
125,939.22
1
4,222
15,621,064
Russell
701
Germany
Male
23
5
186,101.18
2
1
1
76,611.33
0
4,223
15,627,847
Woronoff
850
France
Male
40
6
0
1
1
0
136,985.08
1
4,224
15,588,090
Ferri
726
Germany
Female
51
8
107,494.86
2
1
0
140,937.91
1
4,225
15,735,270
Ruggiero
767
Spain
Male
47
2
0
1
1
0
48,161.18
1
4,226
15,671,804
Wilding
648
Spain
Male
36
8
146,943.38
2
1
1
130,041.45
0
4,227
15,753,215
Yashina
651
Spain
Female
36
8
0
2
1
0
91,652.43
0
4,228
15,789,941
Yevseyev
633
France
Female
36
6
125,130.28
1
0
0
125,961.48
0
4,229
15,691,061
Rapuokwu
740
France
Female
37
9
0
2
1
1
73,225.31
0
4,230
15,808,326
Maslov
592
France
Female
34
9
0
2
1
1
20,460.2
0
4,231
15,566,660
Cole
670
France
Female
41
10
0
3
1
0
81,602.02
0
4,232
15,778,947
Sullivan
628
France
Male
36
3
0
2
1
1
8,742.91
0
4,233
15,632,977
Hsiao
745
France
Male
47
5
0
2
0
0
145,789.71
0
4,234
15,591,747
Rossi
705
France
Male
32
3
0
2
0
0
129,576.99
0
4,235
15,567,335
Allsop
559
France
Female
42
7
0
2
1
1
190,040.29
0
4,236
15,609,299
Chamberlain
595
France
Male
29
6
150,685.79
1
1
0
87,771.06
0
4,237
15,669,945
Jackson
492
France
Male
35
4
141,359.37
2
1
0
39,519.53
0
4,238
15,736,271
Dumetochukwu
498
France
Female
29
9
0
1
1
0
190,035.83
0
4,239
15,710,390
Uspensky
655
France
Female
39
6
94,631.26
2
1
1
148,948.52
0
4,240
15,756,481
Garcia
636
France
Female
39
3
118,336.14
1
1
0
184,691.77
0
4,241
15,736,730
Soto
634
France
Female
45
2
0
1
1
1
143,458.31
0
4,242
15,626,040
McDonald
793
Spain
Male
63
0
0
2
0
1
27,166.75
0
4,243
15,746,553
Castles
526
Germany
Male
50
5
124,233.24
1
0
1
159,456.87
1
4,244
15,622,518
Stephenson
768
France
Female
26
5
51,116.26
1
1
1
70,454.79
1
4,245
15,684,908
Davidson
540
Germany
Male
64
1
91,869.69
1
0
1
95,421
0
4,246
15,569,446
Tu
732
France
Female
34
8
122,338.43
2
1
0
187,985.85
0
4,247
15,777,504
Colbert
617
France
Female
30
8
0
1
1
1
92,621.9
0
4,248
15,677,906
Owens
637
Spain
Female
54
5
0
1
0
1
150,836.98
0
4,249
15,703,292
Chimezie
573
France
Male
26
8
86,270.93
2
1
1
90,177.3
0
4,250
15,712,938
Genovese
531
France
Male
44
3
0
2
1
1
34,416.79
0
4,251
15,631,359
Daluchi
489
France
Female
38
5
117,289.92
1
0
0
85,231.88
0
4,252
15,720,847
Sheffield
601
France
Male
35
2
0
2
1
1
118,983.18
0
4,253
15,787,830
Bailey
452
Germany
Male
33
7
153,663.27
1
1
0
111,868.23
0
4,254
15,599,869
Dyson
728
Spain
Female
29
1
0
1
1
1
83,056.22
0
4,255
15,592,078
Davide
590
Germany
Female
27
8
123,599.49
2
1
0
1,676.92
0
4,256
15,596,228
Uwaezuoke
490
France
Male
29
4
0
2
1
0
32,089.57
0
4,257
15,578,462
Hs?
596
Spain
Female
76
9
134,208.25
1
1
1
13,455.43
0
4,258
15,756,894
Onwuka
635
France
Male
29
1
0
1
0
1
24,865.54
0
4,259
15,796,167
Flores
782
Germany
Male
35
7
98,556.89
2
1
0
117,644.36
0
4,260
15,664,808
Nicoll
790
Spain
Female
37
3
0
3
0
0
98,897.32
0
4,261
15,664,555
Hughes
587
France
Male
40
2
0
4
0
1
106,174.7
1
4,262
15,607,278
Romano
794
Spain
Female
46
8
134,593.79
1
1
1
46,386.37
0
4,263
15,585,222
Norman
515
France
Male
41
8
0
2
1
1
185,054.14
0
4,264
15,750,299
Davison
746
Spain
Male
24
10
68,781.82
1
0
1
47,997.39
0
4,265
15,761,294
Manna
667
Germany
Female
56
8
137,464.04
1
1
0
130,846.79
1
4,266
15,810,454
Reed
709
France
Male
32
4
147,307.91
1
0
1
40,861.55
0
4,267
15,673,984
Daniels
536
France
Female
35
8
0
1
1
0
171,840.24
1
4,268
15,609,319
Hunt
711
France
Female
41
3
145,754.91
1
1
1
101,455.07
0
4,269
15,709,941
Feng
753
France
Male
46
8
0
3
1
0
90,747.94
1
4,270
15,580,252
Waters
748
France
Male
44
4
112,610.77
1
0
1
2,048.55
0
4,271
15,741,275
Yuan
623
France
Female
57
7
71,481.79
2
1
1
84,421.34
0
4,272
15,707,132
Yudin
465
France
Male
33
5
0
2
0
1
78,698.09
0
4,273
15,600,708
Calabresi
640
Spain
Female
34
3
77,826.8
1
1
1
168,544.85
0
4,274
15,804,787
Onyemauchechukwu
562
France
Male
75
5
87,140.85
1
1
1
39,351.64
0
4,275
15,690,021
Martin
502
Germany
Female
42
0
132,002.7
1
0
1
28,204.98
1
4,276
15,763,895
Hung
536
France
Male
32
7
178,011.5
2
1
0
22,375.14
0
4,277
15,623,478
Maslova
670
Germany
Female
32
4
102,954.68
2
0
1
134,942.45
0
4,278
15,797,910
Zetticci
775
Germany
Male
51
2
123,783.25
1
1
1
134,901.57
0
4,279
15,577,751
Pisano
759
Germany
Male
30
4
101,802.67
1
0
0
8,693.8
0
4,280
15,781,777
Sutherland
604
France
Male
33
3
148,659.48
1
0
0
42,437.75
0
4,281
15,740,527
Lai
766
Germany
Female
62
7
142,724.48
1
0
1
5,893.23
1
4,282
15,721,251
Watson
554
Spain
Female
41
4
112,152.89
1
0
1
36,242.19
0
4,283
15,602,994
Gorbunov
487
France
Female
53
10
89,550.85
1
0
1
90,076.85
0
4,284
15,750,769
Padovano
725
France
Male
35
7
75,915.75
1
1
0
150,507.43
0
4,285
15,740,175
Raynor
732
Germany
Female
42
2
118,889.66
2
0
0
87,422.15
0
4,286
15,679,968
Ting
623
France
Male
40
5
118,788.57
1
1
0
192,867.4
0
4,287
15,694,404
Eberegbulam
781
France
Female
42
3
156,555.54
1
1
1
175,674.01
0
4,288
15,657,529
Chin
714
Germany
Male
53
1
99,141.86
1
1
1
72,496.05
1
4,289
15,762,882
Manna
577
Germany
Female
31
4
61,211.18
1
1
1
145,250.43
0
4,290
15,642,579
Chang
731
Spain
Female
37
1
128,932.4
1
1
1
180,712.52
0
4,291
15,598,884
Kent
650
Spain
Female
23
5
0
1
1
1
180,622.43
0
4,292
15,770,185
Buckley
779
France
Male
32
10
80,728.15
1
1
0
86,306.75
0
4,293
15,800,287
Micco
706
Spain
Female
46
2
127,660.46
2
1
0
150,156.82
1
4,294
15,665,861
Avdeev
733
Spain
Male
44
3
106,070.89
1
0
1
101,617.43
0
4,295
15,662,203
Bremer
579
Germany
Female
42
3
137,560.38
2
1
1
85,424.34
0
4,296
15,616,454
Davidson
476
Germany
Female
34
8
111,905.43
1
0
1
197,221.81
1
4,297
15,702,788
Gadsdon
775
France
Male
40
9
126,212.64
1
1
0
70,196.57
0
4,298
15,778,149
Connolly
538
Spain
Male
68
9
0
2
1
0
110,440.5
1
4,299
15,680,001
McDonald
602
France
Male
38
7
111,835.94
2
1
0
124,389.61
0
4,300
15,711,991
Chiawuotu
615
France
Male
30
8
0
2
0
0
3,183.15
0