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
7,701
15,715,184
Capon
752
Spain
Female
31
4
144,637.86
2
1
0
40,496.72
0
7,702
15,702,801
Ts'ao
677
France
Female
29
3
86,616.35
1
0
0
91,903.9
1
7,703
15,719,931
Johnstone
850
France
Male
31
8
0
2
1
0
178,667.7
0
7,704
15,806,081
Fleming
608
Germany
Female
48
2
127,924.25
2
1
0
32,202.61
0
7,705
15,796,336
Chang
786
Spain
Female
34
9
0
2
1
0
117,034.32
0
7,706
15,647,306
Gibbs
777
France
Female
29
9
131,240.61
1
1
1
163,746.09
1
7,707
15,742,369
Rita
667
Spain
Male
31
5
0
2
1
1
20,346.69
0
7,708
15,655,859
Munro
848
Spain
Male
35
5
120,046.74
2
1
0
84,710.65
0
7,709
15,675,650
Duncan
486
France
Female
39
8
97,819.36
1
0
1
120,531.31
0
7,710
15,574,119
Okwuadigbo
598
Spain
Female
64
1
62,979.93
1
1
1
152,273.57
0
7,711
15,754,168
McIntosh
506
France
Female
40
3
0
1
1
1
144,345.58
0
7,712
15,763,029
Ch'iu
612
Germany
Male
46
9
161,450.03
1
1
1
96,961
1
7,713
15,765,048
Watt
545
France
Male
30
3
0
2
1
0
170,307.43
0
7,714
15,786,215
Udinese
793
France
Male
56
8
119,496.25
2
1
0
29,880.99
0
7,715
15,707,559
Clark
682
France
Female
30
9
0
2
1
1
195,104.91
0
7,716
15,582,129
Hsia
517
France
Male
62
1
43,772.66
3
1
0
187,756.24
1
7,717
15,687,540
Obiuto
684
France
Male
32
9
100,249.41
2
0
1
67,599.69
0
7,718
15,787,196
T'ien
692
Spain
Male
46
2
0
2
1
1
105,983.09
0
7,719
15,670,898
McKenzie
740
France
Female
60
5
108,028.08
2
0
0
25,980.42
1
7,720
15,775,433
Tang
666
Germany
Male
71
1
53,013.29
2
1
1
112,222.64
0
7,721
15,700,693
Tu
693
France
Male
68
2
0
2
1
1
59,864.96
0
7,722
15,677,955
Tsui
757
Germany
Male
33
1
122,088.67
1
1
0
42,581.09
0
7,723
15,570,086
Lynch
684
Germany
Male
18
9
90,544
1
0
1
4,777.23
0
7,724
15,794,875
Hung
691
Spain
Male
35
6
0
2
0
1
178,038.17
0
7,725
15,673,591
Oluchukwu
842
France
Male
44
3
141,252.18
4
0
1
128,521.16
1
7,726
15,631,756
Tuan
482
France
Female
35
5
147,813.05
2
0
0
109,029.72
0
7,727
15,757,617
Lewis
735
France
Male
55
6
134,140.68
1
1
0
2,267.88
0
7,728
15,612,729
Chidiebere
681
France
Female
63
7
0
2
1
1
55,054.48
0
7,729
15,637,857
Woolacott
616
France
Female
31
8
0
1
0
1
76,456.17
0
7,730
15,681,007
Yen
850
France
Female
35
2
128,548.49
4
1
0
75,478.95
1
7,731
15,593,622
Service
635
France
Male
43
10
122,198.21
2
0
1
179,144.54
0
7,732
15,629,273
Lin
638
Germany
Male
42
8
145,177.84
1
1
0
193,471.74
1
7,733
15,765,846
Chuang
820
Spain
Female
31
2
94,222.53
1
1
0
103,570.8
0
7,734
15,596,013
Akhtar
694
Germany
Female
58
1
143,212.22
1
0
0
102,628.56
1
7,735
15,722,473
Faulkner
713
France
Male
41
3
0
2
1
0
55,772.04
0
7,736
15,774,936
Liang
543
Germany
Male
41
6
143,350.41
1
1
1
192,070.16
1
7,737
15,685,640
Dancy
649
France
Female
41
3
130,931.83
1
1
1
144,808.37
0
7,738
15,566,563
Duigan
777
France
Female
30
4
137,851.31
1
1
0
5,008.23
1
7,739
15,768,746
McLean
561
France
Male
33
6
0
2
0
0
173,680.39
0
7,740
15,689,952
Zuyeva
724
Spain
Male
41
5
0
1
0
1
115,753.94
0
7,741
15,725,906
Hankinson
665
Spain
Female
51
8
0
1
1
1
38,928.48
1
7,742
15,634,501
Wei
441
France
Male
60
1
140,614.15
1
0
1
174,381.23
0
7,743
15,571,940
Afamefula
579
Spain
Male
22
3
118,680.57
1
1
1
49,829.8
0
7,744
15,741,643
Chiang
777
Germany
Male
35
7
122,917.69
1
1
1
76,169.68
0
7,745
15,806,822
Myers
739
France
Female
36
0
0
2
0
0
133,465.57
0
7,746
15,701,166
Chinedum
660
France
Male
40
5
131,754.11
2
1
1
38,761.61
0
7,747
15,718,531
Ukaegbunam
554
France
Female
35
8
0
2
1
1
176,779.46
0
7,748
15,628,308
Akubundu
850
France
Female
24
6
0
2
1
1
13,159.9
0
7,749
15,585,287
Sal
842
Germany
Female
35
9
119,948.09
1
1
0
48,217.97
1
7,750
15,781,619
Stevenson
785
France
Female
38
1
0
1
1
0
134,964.85
1
7,751
15,805,162
Sutherland
550
France
Male
25
0
0
2
1
1
184,221.11
0
7,752
15,588,535
Ts'ao
750
Spain
Female
39
6
0
2
0
0
19,264.33
0
7,753
15,775,307
Sung
490
Spain
Female
38
3
97,266.1
1
1
1
92,797.23
0
7,754
15,777,616
Pisani
605
Germany
Male
28
10
113,690.83
1
1
0
33,114.24
0
7,755
15,692,291
Hs?eh
563
Spain
Female
42
6
99,056.22
2
1
0
154,347.95
1
7,756
15,680,843
Sherrod
675
France
Male
34
8
0
2
1
1
184,842.21
0
7,757
15,606,232
Holloway
621
Spain
Female
36
7
116,338.68
1
1
1
155,743.48
0
7,758
15,641,585
Newton
850
France
Male
40
6
97,339.99
1
0
1
88,815.25
0
7,759
15,684,358
Kang
711
France
Male
41
3
0
2
1
1
193,747.57
0
7,760
15,806,389
Walton
549
Germany
Female
55
1
137,592.31
2
0
1
116,548.02
1
7,761
15,641,860
Bradley
764
Germany
Male
34
6
108,760.27
2
1
0
166,324.79
1
7,762
15,814,237
Watkins
627
Germany
Male
30
3
128,770.88
2
1
1
40,199.01
0
7,763
15,808,780
Tien
850
France
Female
34
2
0
2
0
0
51,919.04
0
7,764
15,767,064
Davide
614
Spain
Female
36
1
44,054.84
1
1
1
73,329.08
0
7,765
15,751,177
Milne
685
Germany
Female
44
2
119,657.53
1
1
0
145,387.05
1
7,766
15,613,427
Barling
683
Germany
Female
49
7
108,797.63
2
0
0
140,763.18
0
7,767
15,647,259
Barnett
643
Spain
Male
35
2
0
2
0
0
67,979.35
0
7,768
15,748,660
Ellis
561
Germany
Female
49
1
102,025.32
1
1
0
133,051.64
1
7,769
15,726,695
Hsia
601
Spain
Female
20
9
122,446.61
2
1
0
86,791.9
0
7,770
15,757,473
Chukwujamuike
766
France
Female
27
7
158,786.67
2
0
1
47,579.25
0
7,771
15,809,509
Venables
699
France
Male
29
3
125,689.29
1
1
1
151,623.71
0
7,772
15,715,512
Hsia
850
Germany
Male
29
1
154,640.41
1
1
1
164,039.51
0
7,773
15,614,168
Alexander
792
Germany
Female
50
4
146,710.76
1
1
0
16,528.4
1
7,774
15,679,818
Yuan
636
Germany
Male
67
7
136,709.35
1
0
1
66,753.1
1
7,775
15,609,928
Johnston
850
Germany
Male
43
5
129,305.09
2
0
1
19,244.58
0
7,776
15,731,246
Hobler
628
Spain
Male
40
10
0
2
1
0
103,832.58
0
7,777
15,685,243
Jamieson
736
France
Female
63
10
0
2
0
1
502.7
0
7,778
15,638,730
Macleod
711
France
Female
21
0
82,844.33
2
0
1
1,408.68
0
7,779
15,697,034
Norris
583
Spain
Female
22
2
0
2
0
1
5,985.36
0
7,780
15,699,225
Pirozzi
757
France
Male
46
0
0
2
1
0
37,460.05
0
7,781
15,677,387
Folliero
749
Germany
Female
33
10
76,692.22
1
0
1
30,396.43
0
7,782
15,759,184
Russell
705
France
Male
34
7
117,715.84
1
1
0
2,498.67
0
7,783
15,595,991
Hsiung
585
France
Male
54
8
87,105.32
1
1
1
55,346.14
0
7,784
15,681,332
Tate
437
France
Female
43
6
0
1
1
0
148,330.97
1
7,785
15,756,299
Davis
741
France
Female
64
2
69,311.16
1
1
1
59,237.72
0
7,786
15,750,547
Bair
738
France
Male
26
9
0
2
1
1
48,644.94
0
7,787
15,566,380
Drury
586
Spain
Female
33
10
66,948.67
2
1
1
140,759.03
0
7,788
15,675,963
Padovano
627
France
Female
57
9
0
2
1
1
107,712.42
0
7,789
15,674,671
Conway
551
Spain
Male
76
2
128,410.71
2
1
1
181,718.73
0
7,790
15,621,466
Waters
606
Germany
Male
38
3
99,897.53
1
0
0
37,054.65
0
7,791
15,607,176
Kang
674
France
Male
22
3
0
1
1
1
173,940.59
0
7,792
15,570,299
Martin
584
Germany
Female
31
6
152,622.34
1
1
0
99,298.8
0
7,793
15,613,197
Ugochukwutubelum
590
France
Male
40
8
0
2
1
0
62,933.03
0
7,794
15,798,885
Burns
585
France
Male
56
4
138,227.19
2
1
1
55,287.84
0
7,795
15,714,883
Genovese
508
France
Female
25
2
111,395.53
1
0
1
48,197.06
0
7,796
15,604,497
Beale
458
Germany
Male
44
7
84,386.57
1
1
0
178,642.73
0
7,797
15,773,949
Cherkasova
692
France
Female
36
3
0
2
1
1
8,282.22
0
7,798
15,774,164
Coles
502
Germany
Male
33
5
174,673.65
2
1
0
33,300.56
0
7,799
15,774,127
Potter
518
France
Male
46
3
0
2
1
0
76,515.79
0
7,800
15,619,016
McMinn
660
Germany
Male
46
5
109,019.65
2
1
1
33,680.56
0