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
6,201
15,569,654
Munro
850
Germany
Female
31
3
51,293.47
1
0
0
35,534.68
0
6,202
15,753,079
Chidi
612
France
Male
41
5
0
3
0
0
151,256.22
0
6,203
15,684,995
Chamberlain
690
Spain
Male
49
8
116,622.73
1
0
1
51,011.29
0
6,204
15,790,763
Trujillo
599
Spain
Female
49
2
0
2
1
0
111,190.53
0
6,205
15,766,458
Tang
498
France
Male
33
1
198,113.86
1
1
0
69,664.35
0
6,206
15,616,221
Wilson
497
France
Female
29
4
85,646.81
1
0
0
63,233.02
1
6,207
15,776,124
Mann
802
Spain
Male
51
7
0
1
0
1
40,855.79
0
6,208
15,665,811
Parry
644
France
Male
33
9
141,234.98
1
1
0
95,673.05
0
6,209
15,729,804
Manfrin
714
France
Male
34
10
0
2
1
1
80,234.14
0
6,210
15,714,062
Millar
690
France
Female
40
9
77,641.99
1
0
0
189,051.59
1
6,211
15,592,197
Simmons
522
Spain
Male
30
3
0
2
1
0
145,490.85
0
6,212
15,793,116
Beneventi
502
Germany
Female
40
7
117,304.29
1
0
0
196,278.32
0
6,213
15,638,231
Chung
730
Spain
Female
62
2
0
2
1
1
162,889.1
0
6,214
15,697,678
Maxwell
590
Germany
Male
36
6
92,340.69
2
1
1
174,667.58
0
6,215
15,800,412
Dale
458
Germany
Male
35
9
146,780.52
2
1
1
3,476.38
0
6,216
15,597,610
Stevens
553
Spain
Male
41
6
144,974.55
1
1
1
19,344.92
0
6,217
15,726,634
Wei
479
France
Male
47
1
0
1
1
0
95,270.83
0
6,218
15,670,866
Chiu
693
France
Male
31
2
0
2
1
1
107,759.31
0
6,219
15,667,462
Duncan
707
Spain
Male
43
10
0
2
1
0
118,368.2
0
6,220
15,662,574
Brady
636
Spain
Male
37
1
115,137.26
1
1
0
52,484.01
0
6,221
15,716,926
Macleod
807
France
Male
33
10
101,952.97
2
1
0
178,153.65
0
6,222
15,603,554
Berkeley
513
France
Female
45
0
164,649.52
3
1
0
49,915.52
1
6,223
15,716,800
Kaur
582
France
Male
31
2
0
2
1
1
33,747.03
0
6,224
15,679,429
Bell
694
France
Male
32
0
91,956.49
1
1
1
59,961.81
0
6,225
15,616,122
Nwokike
777
France
Male
39
8
0
2
1
1
18,613.52
0
6,226
15,742,172
Williamson
598
Germany
Male
32
9
123,938.6
2
1
0
198,894.42
0
6,227
15,792,305
Mountgarrett
762
Germany
Male
46
6
123,571.77
3
0
1
57,014.17
1
6,228
15,636,016
Wreford
588
France
Female
34
3
120,777.88
1
1
1
131,729.52
0
6,229
15,733,138
Paterson
663
Germany
Male
42
5
90,248.79
1
1
1
79,169.73
0
6,230
15,669,741
Hou
777
France
Male
36
7
0
1
1
0
106,472.34
0
6,231
15,616,954
Smith
592
France
Male
71
4
0
2
0
1
17,013.54
0
6,232
15,729,238
Peng
631
Germany
Male
48
1
106,396.48
1
1
1
150,661.42
1
6,233
15,718,242
Wollstonecraft
725
Germany
Female
47
1
104,887.43
1
0
0
86,622.56
1
6,234
15,682,914
Bolton
850
France
Male
34
2
72,079.71
1
1
1
115,767.93
0
6,235
15,654,274
Corrie
540
France
Male
37
6
0
2
1
0
141,998.89
0
6,236
15,691,457
Boyle
674
Spain
Male
36
2
0
2
1
1
182,787.17
0
6,237
15,719,649
Lambie
553
France
Male
38
3
99,844.68
1
0
0
187,915.7
0
6,238
15,778,897
Cartwright
630
France
Female
28
1
0
2
1
1
133,267.78
0
6,239
15,589,437
Lu
466
France
Male
26
3
156,815.71
1
1
1
137,476.09
0
6,240
15,682,369
Pisano
613
France
Male
47
6
146,034.74
1
1
1
77,146.14
0
6,241
15,626,507
Chukwubuikem
558
France
Male
27
1
152,283.39
1
1
0
183,271.15
0
6,242
15,571,995
Harper
775
Germany
Female
33
1
118,897.1
2
1
1
26,362.4
0
6,243
15,673,333
Wilson
698
Germany
Male
52
8
96,781.39
1
1
1
153,373.71
0
6,244
15,748,752
Ch'in
608
Germany
Male
33
1
102,772.67
2
1
0
70,705.58
0
6,245
15,725,302
Streeton
670
Spain
Female
20
4
0
2
1
0
119,759.24
0
6,246
15,722,083
Ch'ang
591
Spain
Male
39
8
0
2
0
0
42,392.24
0
6,247
15,771,442
Pennington
633
France
Male
40
4
150,578
1
0
1
34,670.62
1
6,248
15,803,633
T'ien
678
France
Female
46
1
0
2
0
0
82,106.19
0
6,249
15,672,185
Liu
590
France
Male
47
3
0
2
1
0
171,774.5
0
6,250
15,806,486
Cunningham
705
France
Female
48
0
0
2
0
0
149,772.61
0
6,251
15,570,895
Ch'in
608
France
Male
42
10
163,548.07
1
1
0
38,866.85
0
6,252
15,614,520
Smith
682
France
Female
37
8
148,580.12
1
1
0
35,179.18
0
6,253
15,687,492
Anderson
596
Germany
Male
32
3
96,709.07
2
0
0
41,788.37
0
6,254
15,675,337
Forbes
395
Germany
Female
34
5
106,011.59
1
1
1
17,376.57
1
6,255
15,721,047
Ansell
578
Germany
Male
37
1
135,650.88
1
1
0
199,428.19
0
6,256
15,589,017
Chiu
547
Germany
Male
55
4
111,362.76
3
1
0
16,922.28
1
6,257
15,611,186
Yevdokimova
609
France
Male
37
1
39,344.83
1
1
1
178,291.89
1
6,258
15,617,301
Chamberlin
774
Germany
Male
36
9
130,809.77
1
1
0
152,290.28
0
6,259
15,726,046
Johnston
712
France
Female
27
2
133,009.51
1
1
0
126,809.15
0
6,260
15,585,748
McDonald
585
Germany
Female
28
9
135,337.49
2
1
1
40,385.61
0
6,261
15,672,826
Chen
666
France
Female
32
10
112,536.57
2
1
1
34,350.54
0
6,262
15,595,162
Cattaneo
708
Spain
Female
35
8
122,570.69
1
0
0
199,005.88
0
6,263
15,650,026
Barclay-Harvey
513
France
Male
44
1
63,562.02
2
0
1
52,629.73
1
6,264
15,745,826
Dawson
445
France
Male
37
3
0
2
1
1
180,012.39
0
6,265
15,708,610
Costa
690
Germany
Male
44
9
100,368.63
2
0
0
35,342.33
0
6,266
15,624,471
Chikwado
850
France
Male
37
6
0
2
1
0
109,291.22
0
6,267
15,590,097
Ch'eng
537
Spain
Female
33
7
136,082
1
1
0
62,746.54
0
6,268
15,689,328
Harrison
705
Germany
Male
48
9
114,169.16
1
0
0
173,273.2
1
6,269
15,582,154
Crawford
670
France
Female
45
5
47,884.92
1
1
1
54,340.24
0
6,270
15,734,626
Gibson
652
Spain
Female
36
1
0
2
1
1
19,302.78
0
6,271
15,702,806
Martin
696
Spain
Male
24
9
0
1
0
0
10,883.52
0
6,272
15,620,756
Stokes
747
France
Male
49
6
202,904.64
1
1
1
17,298.72
1
6,273
15,611,331
Niu
511
France
Female
46
1
0
1
1
1
115,779.48
1
6,274
15,576,935
Ampt
743
Spain
Male
43
2
161,807.18
2
0
1
93,228.86
1
6,275
15,661,275
Wynn
532
Germany
Male
52
3
110,791.97
1
1
0
148,704.77
1
6,276
15,814,940
Lawrence
642
Spain
Female
33
9
0
2
1
1
150,475.14
0
6,277
15,768,471
Wagner
554
Germany
Female
54
6
108,755
1
1
0
40,914.32
1
6,278
15,697,391
Argyle
604
Spain
Female
34
3
0
2
1
0
38,587.7
0
6,279
15,793,346
Ofodile
602
France
Female
72
3
0
2
1
1
171,260.66
0
6,280
15,608,338
Chiemenam
757
Spain
Female
55
9
117,294.12
4
1
0
94,187.47
1
6,281
15,578,546
Akobundu
491
Germany
Male
26
4
102,251.14
1
1
1
145,900.89
0
6,282
15,656,921
Locke
850
France
Male
31
4
0
2
0
0
152,298.28
0
6,283
15,761,340
Bullen
521
France
Male
22
5
0
2
1
1
99,828.45
0
6,284
15,591,135
Forster
726
France
Male
37
2
132,057.92
2
1
0
34,743.98
0
6,285
15,623,219
Smith
596
France
Male
33
8
0
1
1
0
121,189.3
1
6,286
15,655,229
Craig
850
Germany
Female
35
7
114,285.2
1
0
1
129,660.59
0
6,287
15,805,884
Archer
637
France
Female
41
9
0
2
1
0
145,477.36
0
6,288
15,668,289
McWilliams
690
Spain
Male
32
2
76,087.98
1
0
1
151,822.66
0
6,289
15,568,562
Moss
689
France
Male
40
8
160,272.27
1
1
0
49,656.24
0
6,290
15,773,276
Townsend
633
Spain
Male
63
4
114,552.6
1
1
0
73,856.28
1
6,291
15,622,801
Brown
555
France
Female
27
8
102,000.17
1
1
1
116,757
0
6,292
15,779,886
Munson
563
Spain
Male
24
7
0
2
0
0
16,319.56
0
6,293
15,713,673
T'ien
494
France
Female
33
1
137,853
1
0
1
90,273.85
0
6,294
15,783,083
Shubin
534
France
Male
27
9
0
2
1
0
161,344.13
0
6,295
15,742,824
Isayeva
696
Germany
Male
42
7
162,318.61
1
1
0
121,061.89
0
6,296
15,621,550
Hung
535
Spain
Female
50
1
140,292.58
3
0
0
69,531.22
1
6,297
15,799,480
Webb
600
France
Male
34
0
0
2
0
1
3,756.23
0
6,298
15,625,247
Scott
807
France
Female
34
1
0
1
0
0
114,448.13
0
6,299
15,755,241
Rahman
714
France
Female
52
2
0
1
0
1
144,045.08
1
6,300
15,575,679
Lori
590
France
Male
24
7
126,431.54
1
1
0
58,781.11
0