RowNumber
int64
1
10k
CustomerId
int64
15.6M
15.8M
Surname
stringlengths
2
23
CreditScore
int64
350
850
Geography
stringclasses
3 values
Gender
stringclasses
2 values
Age
int64
18
92
Tenure
int64
0
10
Balance
float64
0
251k
NumOfProducts
int64
1
4
HasCrCard
int64
0
1
IsActiveMember
int64
0
1
EstimatedSalary
float64
11.6
200k
Exited
int64
0
1
5,301
15,613,734
Fallaci
640
France
Female
33
6
84,719.13
2
1
1
113,048.79
0
5,302
15,606,177
Crawford
672
France
Male
39
2
0
2
1
0
87,372.49
0
5,303
15,636,700
Marsh
701
France
Male
39
9
140,236.98
1
0
1
146,651.99
0
5,304
15,645,766
Kosisochukwu
634
Spain
Male
25
9
0
2
1
1
8,227.91
0
5,305
15,671,345
Piccio
531
Spain
Female
42
6
75,302.85
2
0
0
57,034.35
0
5,306
15,652,469
Nevels
699
France
Male
27
1
0
2
1
0
93,003.21
0
5,307
15,749,638
Kaodilinakachukwu
605
France
Female
51
9
104,760.82
1
1
1
165,574.54
1
5,308
15,728,706
Amaechi
534
France
Female
49
7
0
1
1
0
13,566.48
1
5,309
15,735,439
P'an
449
Spain
Female
31
1
113,693
1
0
0
82,796.29
0
5,310
15,778,696
Ikemefuna
684
Spain
Female
36
5
174,180.39
1
1
0
119,830.08
0
5,311
15,624,744
Tai
622
Germany
Male
42
9
115,766.26
1
0
0
72,155.85
1
5,312
15,584,338
Winn
714
France
Female
40
0
0
2
1
0
62,762.12
0
5,313
15,726,178
Hardy
712
Spain
Female
48
8
0
2
1
0
183,235.33
0
5,314
15,794,939
Chiu
783
France
Female
72
5
121,215.9
2
1
1
105,206.48
0
5,315
15,788,068
Lopez
743
Germany
Male
45
10
144,677.19
3
1
0
22,512.44
1
5,316
15,572,956
Steen
683
France
Male
36
5
115,350.63
1
1
1
122,305.91
0
5,317
15,780,386
Ferri
654
Spain
Male
40
5
105,683.63
1
1
0
173,617.09
0
5,318
15,791,114
Yegorova
700
France
Male
37
1
135,179.49
1
1
0
160,670.37
0
5,319
15,708,046
Knowles
744
Spain
Male
31
0
117,551.23
1
1
0
158,958.9
0
5,320
15,719,779
May
645
Germany
Male
25
1
157,404.02
2
1
0
93,073.04
0
5,321
15,591,550
Bianchi
525
Spain
Male
36
3
77,910.23
1
1
0
67,238.01
0
5,322
15,639,368
Pipes
732
France
Male
25
0
110,942.9
1
0
0
172,576.56
0
5,323
15,699,830
Doherty
721
France
Female
40
7
0
2
1
1
122,580.48
0
5,324
15,569,264
Yobanna
622
France
Male
32
5
179,305.09
1
1
1
149,043.78
0
5,325
15,595,158
Hsu
654
Germany
Male
31
5
150,593.59
2
1
1
105,218.45
0
5,326
15,599,126
Russell
529
France
Female
43
0
123,815.86
1
1
1
78,463.99
1
5,327
15,650,575
Payne
720
Spain
Female
59
6
0
2
1
1
160,849.43
1
5,328
15,641,490
Windsor
850
Germany
Female
25
8
69,385.17
2
1
0
87,834.24
0
5,329
15,680,234
Bray
667
Germany
Male
27
2
138,032.15
1
1
0
166,317.71
0
5,330
15,592,230
Seleznyov
620
France
Male
41
3
0
2
1
1
137,309.06
0
5,331
15,626,212
Wark
616
France
Male
29
9
0
1
1
1
166,984.44
0
5,332
15,700,627
Y?
637
Germany
Female
46
2
143,500.82
1
1
0
166,996.46
1
5,333
15,782,641
Brown
710
Spain
Female
29
3
119,670.18
1
1
0
188,022.44
0
5,334
15,784,445
Huang
717
Spain
Male
33
1
99,106.73
1
0
0
194,467.23
0
5,335
15,813,681
Zito
786
Germany
Male
24
2
120,135.55
2
1
1
125,449.47
0
5,336
15,596,649
Bailey
651
France
Female
39
8
0
1
1
0
137,452.57
0
5,337
15,700,460
Allnutt
530
France
Female
55
4
120,905.03
1
0
1
123,475.88
1
5,338
15,724,076
Christie
815
Spain
Female
57
5
0
3
0
0
38,941.44
1
5,339
15,784,000
Pope
715
Germany
Female
34
9
102,277.52
1
0
0
177,852.57
1
5,340
15,733,966
Johnstone
496
Germany
Female
55
4
125,292.53
1
1
1
31,532.96
1
5,341
15,612,667
Bird
680
Spain
Male
42
0
0
1
1
0
136,377.21
0
5,342
15,654,025
Jones
646
France
Female
51
4
101,629.3
1
0
0
130,541.1
0
5,343
15,589,431
Pedder
807
Germany
Male
47
1
171,937.27
1
1
1
65,636.92
0
5,344
15,578,238
Calabrese
727
France
Male
47
7
0
2
1
0
193,305.35
0
5,345
15,566,269
Chialuka
787
France
Male
25
5
0
2
1
0
47,307.9
0
5,346
15,639,217
McKenzie
806
France
Male
34
6
0
2
0
0
100,809.99
0
5,347
15,688,644
Holloway
603
France
Male
31
1
129,743.75
1
1
0
109,145.2
0
5,348
15,662,426
Tang
649
Spain
Male
32
1
0
1
0
1
91,167.19
1
5,349
15,720,511
Byrne
547
Germany
Male
41
3
151,191.31
1
1
0
175,295.89
1
5,350
15,567,246
Selwyn
684
Germany
Male
32
3
102,630.13
2
1
1
127,433.47
0
5,351
15,647,965
Genovese
477
France
Female
57
9
114,023.64
2
1
1
71,167.17
1
5,352
15,679,048
Koger
558
Germany
Male
41
2
124,227.14
1
1
1
111,184.67
0
5,353
15,675,749
Baranov
695
France
Female
23
1
0
2
1
1
141,756.32
0
5,354
15,782,181
Greco
592
Spain
Male
35
6
80,285.16
1
1
0
72,678.75
1
5,355
15,795,738
Owens
789
France
Male
31
4
175,477.15
1
1
1
172,832.9
0
5,356
15,773,751
Y?
597
France
Female
29
1
132,144.35
1
1
0
158,086.33
0
5,357
15,655,436
Kendall
839
Germany
Male
47
2
136,911.07
1
1
1
168,184.62
1
5,358
15,691,396
Ko
405
Germany
Male
31
5
133,299.67
2
1
1
72,950.14
0
5,359
15,796,958
Tang
658
France
Male
39
7
0
2
1
0
48,378.4
0
5,360
15,801,832
Lombardo
684
Germany
Male
42
1
117,691
1
1
1
23,135.65
1
5,361
15,661,349
Perkins
633
France
Male
35
10
0
2
1
0
65,675.47
0
5,362
15,719,265
Feng
589
France
Male
46
9
0
2
1
0
170,676.67
0
5,363
15,779,985
Lo
750
Germany
Female
37
1
133,199.71
2
1
1
27,366.77
0
5,364
15,663,410
Piccio
771
Spain
Male
51
5
135,506.58
3
1
1
152,479.64
1
5,365
15,704,144
Mazzanti
812
Germany
Male
33
2
127,154.14
2
0
1
105,383.49
0
5,366
15,774,104
Chukwualuka
539
Spain
Male
39
2
0
2
1
1
48,189.94
0
5,367
15,812,230
Elliot
670
Germany
Female
42
5
49,508.79
3
1
1
100,324.01
0
5,368
15,742,848
Gratton
673
France
Male
41
5
0
1
1
1
65,657.29
0
5,369
15,745,326
Carandini
538
France
Female
62
3
75,051.49
1
0
0
17,682.02
1
5,370
15,674,541
Robinson
575
Spain
Male
52
8
123,925.23
1
0
0
111,342.66
1
5,371
15,728,564
Lo
682
France
Male
41
6
0
2
0
1
134,158.09
1
5,372
15,580,701
Ma
712
France
Male
33
3
153,819.58
1
1
0
79,176.09
1
5,373
15,688,973
Vinogradova
598
Spain
Female
39
5
0
2
1
1
83,103.46
0
5,374
15,709,412
H?
776
Spain
Male
30
6
0
2
0
1
63,908.86
0
5,375
15,607,753
Alexandrova
606
Spain
Female
23
10
70,417.79
1
0
1
90,896.04
0
5,376
15,705,352
Yang
686
Spain
Male
38
7
111,484.88
1
1
1
76,076.2
0
5,377
15,602,500
Maslova
850
Spain
Male
38
1
146,343.98
1
0
1
103,902.11
0
5,378
15,672,437
Buccho
642
France
Male
72
1
160,541
2
1
1
142,223.94
0
5,379
15,720,968
Young
606
Germany
Male
27
2
130,274.26
2
1
0
147,533.09
0
5,380
15,730,796
Barker
627
France
Female
21
7
98,993.02
1
1
1
169,156.64
0
5,381
15,768,219
Sung
850
Spain
Male
36
0
0
2
1
0
141,242.57
0
5,382
15,663,883
Hansen
850
Germany
Male
32
9
141,827.33
2
1
1
149,458.73
0
5,383
15,589,296
Brown
724
France
Female
40
6
110,054.45
1
1
1
86,950.72
0
5,384
15,586,425
Lo Duca
579
France
Male
28
4
0
2
1
1
176,925.69
0
5,385
15,679,813
Ellis
727
Spain
Male
28
1
0
1
1
0
40,357.39
0
5,386
15,681,410
Korff
813
Germany
Female
36
6
98,088.09
1
0
1
26,687.22
1
5,387
15,668,283
Gardiner
642
France
Male
48
9
118,317.27
4
0
0
78,702.98
1
5,388
15,624,072
Kiernan
669
Spain
Male
22
10
0
2
1
0
176,163.74
0
5,389
15,669,664
Thompson
574
Germany
Male
54
1
99,774.5
1
0
0
4,896.11
1
5,390
15,682,728
Mathews
774
France
Female
32
4
0
2
0
0
114,899.13
0
5,391
15,573,851
Macrossan
735
France
Female
38
1
0
3
0
0
92,220.12
1
5,392
15,733,661
Illingworth
639
Spain
Female
27
8
133,806.54
2
1
0
6,251.3
0
5,393
15,710,012
Bowen
738
Spain
Male
44
2
0
2
1
0
43,018.82
1
5,394
15,763,327
Craig
835
France
Male
32
8
124,993.29
2
1
1
27,548.06
0
5,395
15,668,853
Menhennitt
637
Spain
Female
44
0
157,622.58
1
1
1
120,454.2
0
5,396
15,639,303
Moore
589
Germany
Male
48
5
126,111.61
1
0
1
133,961.19
0
5,397
15,691,011
Shoebridge
591
France
Male
42
9
161,651.37
2
1
1
131,753.97
0
5,398
15,638,513
Palermo
723
France
Female
40
7
142,856.95
2
0
0
38,019.74
0
5,399
15,648,933
Reilly
831
Germany
Male
44
3
111,100.98
1
1
1
28,144.07
1
5,400
15,628,904
Bowen
733
Spain
Male
35
8
102,918.38
1
1
1
45,959.86
0