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
8,301
15,802,625
Hardy
733
Germany
Male
48
7
85,915.52
1
1
1
23,860.5
0
8,302
15,766,017
Brookman
615
Germany
Male
58
3
72,309.3
1
1
1
85,687.09
1
8,303
15,762,172
Kerr
850
France
Female
39
2
0
2
1
0
179,451.42
0
8,304
15,728,333
McBurney
521
France
Male
43
8
0
1
1
1
93,180.09
0
8,305
15,792,868
Mickey
675
France
Male
69
1
0
2
1
0
157,097.09
0
8,306
15,605,698
Harrison
746
France
Male
58
3
0
3
1
1
80,344.96
1
8,307
15,777,060
Olszewski
770
France
Female
33
4
0
1
1
0
26,080.54
1
8,308
15,626,243
Chijioke
618
France
Male
30
3
133,844.22
1
1
1
31,406.93
0
8,309
15,719,898
Young
556
France
Male
36
7
154,872.08
2
1
1
32,044.64
0
8,310
15,599,976
Bellasis
749
France
Female
27
9
0
2
1
0
132,734.87
0
8,311
15,752,809
De Mestre
702
Spain
Male
43
6
116,121.67
1
1
0
61,602.42
0
8,312
15,589,698
De Luca
555
Germany
Male
42
6
107,104.5
1
1
1
41,304.44
1
8,313
15,609,977
Mundy
587
France
Male
47
6
71,026.77
1
1
0
57,962.41
0
8,314
15,750,121
Tung
639
France
Male
38
3
0
1
1
0
42,862.82
0
8,315
15,734,177
Donahue
643
France
Male
33
4
0
2
1
1
152,992.04
0
8,316
15,781,347
Okagbue
600
France
Female
41
1
0
2
1
1
91,193.65
0
8,317
15,592,025
Nnaemeka
651
France
Male
53
7
0
2
1
1
130,132.41
0
8,318
15,670,163
Verjus
666
France
Female
27
4
0
2
0
0
88,751.45
0
8,319
15,765,402
H?
520
France
Female
39
6
145,644.05
1
0
0
104,118.93
0
8,320
15,624,343
Napolitani
650
Spain
Female
50
7
129,667.77
1
0
0
42,028.16
0
8,321
15,602,354
Ginikanwa
564
Germany
Male
33
3
109,341.87
1
1
0
75,632.78
0
8,322
15,579,183
Spaull
586
France
Male
64
1
0
2
1
1
53,710.23
0
8,323
15,584,899
Siciliani
617
France
Female
35
5
0
2
0
1
13,066.3
0
8,324
15,723,658
Voronina
712
Spain
Female
30
6
0
2
1
0
152,417.97
0
8,325
15,803,965
Tang
654
France
Male
55
3
87,485.67
1
1
1
3,299.01
0
8,326
15,682,489
Crumbley
605
France
Male
27
9
0
2
1
0
198,091.81
0
8,327
15,813,645
Hamilton
491
France
Female
36
0
53,369.13
1
1
1
103,934.12
0
8,328
15,766,787
Piazza
707
France
Female
35
9
0
2
1
1
70,403.65
0
8,329
15,687,171
Birch
638
Spain
Male
34
5
146,679.77
1
1
0
102,179.86
0
8,330
15,690,744
Custance
683
France
Male
43
2
112,499.42
2
1
0
30,375.18
0
8,331
15,707,974
Anayochukwu
815
Spain
Female
38
2
48,387
1
1
0
184,796.84
0
8,332
15,673,084
Galkin
645
Spain
Male
38
1
68,079.8
1
0
1
166,264.89
0
8,333
15,814,772
Adams
645
Germany
Male
49
4
160,133.88
1
0
1
88,391.97
0
8,334
15,743,709
Toomey
683
France
Male
30
4
66,190.33
1
1
1
115,186.97
0
8,335
15,610,343
Marshall-Hall
705
France
Female
37
10
0
2
1
1
13,935.53
1
8,336
15,737,414
Shen
647
France
Male
35
4
123,761.68
1
1
0
83,910.4
0
8,337
15,788,480
Pagnotto
786
Germany
Female
33
0
122,325.58
1
0
0
34,712.34
1
8,338
15,568,519
Wood
534
France
Male
41
9
0
2
1
0
13,871.34
0
8,339
15,792,453
More
602
Spain
Female
42
1
138,912.17
1
1
1
139,494.75
0
8,340
15,658,100
Piccio
695
France
Female
42
0
0
2
0
1
140,724.64
0
8,341
15,695,197
Tochukwu
553
Germany
Female
25
7
128,524.19
2
1
0
20,682.46
0
8,342
15,749,807
Graham
516
Spain
Female
31
3
0
2
1
0
124,202.26
0
8,343
15,773,876
Tung
655
France
Female
34
3
0
2
1
0
159,638.77
0
8,344
15,591,698
P'eng
849
Germany
Female
49
9
132,934.89
1
1
0
171,056.65
1
8,345
15,712,813
Nevzorova
520
Germany
Male
43
3
150,805.17
3
0
1
25,333.03
1
8,346
15,763,898
Toscani
568
Spain
Female
46
3
0
2
1
1
29,372.62
0
8,347
15,793,324
McKenzie
695
Spain
Male
32
9
0
3
0
1
38,533.79
0
8,348
15,757,759
Okwuoma
807
Spain
Female
28
7
165,969.26
3
1
0
156,122.13
1
8,349
15,796,230
Morley
642
Germany
Female
36
2
124,495.98
3
1
1
57,904.22
1
8,350
15,611,729
Kerr
703
Germany
Male
39
1
141,559.5
1
1
1
31,257.1
1
8,351
15,709,531
Harding
556
France
Male
38
2
114,756.14
1
1
0
193,214.05
0
8,352
15,650,751
Butler
585
France
Female
30
6
0
2
1
1
137,757.69
0
8,353
15,641,413
Crawford
587
Germany
Female
49
7
155,393.98
2
1
0
13,308.2
1
8,354
15,753,840
Brown
524
Spain
Female
32
6
0
1
1
1
132,861.9
1
8,355
15,669,994
Greece
556
Germany
Female
31
1
128,663.81
2
1
0
125,083.29
0
8,356
15,695,301
Matthews
504
Spain
Male
44
4
113,522.64
1
1
1
12,405.2
0
8,357
15,792,004
Heath
731
Spain
Female
26
3
0
2
1
0
37,697.29
0
8,358
15,603,035
Vincent
651
France
Male
34
3
0
2
1
1
105,599.65
0
8,359
15,717,286
Sal
675
Spain
Female
40
8
79,035.95
1
1
0
142,783.98
1
8,360
15,577,107
Milne
657
Spain
Female
22
6
0
3
0
1
168,412.07
1
8,361
15,754,747
Bazile
686
Germany
Male
33
9
141,918.09
2
0
1
184,036.47
0
8,362
15,705,676
Wardle
690
France
Female
35
9
107,944.33
2
0
0
48,478.47
0
8,363
15,751,912
Lilly
567
France
Male
36
7
0
2
0
1
3,896.08
0
8,364
15,677,336
Aitken
557
Germany
Male
57
1
120,043.13
1
1
0
132,370.75
1
8,365
15,684,395
Enderby
446
Spain
Female
45
10
125,191.69
1
1
1
128,260.86
1
8,366
15,659,949
Chiu
850
France
Male
31
1
96,399.31
2
1
0
106,534.15
0
8,367
15,812,422
Ugorji
637
France
Male
41
2
0
2
0
1
102,515.42
0
8,368
15,806,941
Sharpe
499
France
Male
60
7
76,961.6
2
1
1
83,643.87
0
8,369
15,637,690
Houghton
622
Germany
Female
34
7
98,675.74
1
1
0
138,906.85
1
8,370
15,632,882
Konovalova
684
Germany
Male
37
1
126,817.13
2
1
1
29,995.83
1
8,371
15,807,107
Patel
612
France
Male
32
3
121,394.42
1
1
0
164,081.42
0
8,372
15,661,034
Ngozichukwuka
813
Germany
Female
29
5
106,059.4
1
0
0
187,976.88
1
8,373
15,811,958
Medland
850
Germany
Male
44
2
112,755.34
2
0
0
158,171.36
0
8,374
15,785,167
Padovano
795
Spain
Male
29
4
0
2
0
0
155,711.64
0
8,375
15,646,720
Tsui
628
Spain
Female
55
7
0
3
1
0
85,890.75
1
8,376
15,658,614
H?
565
Germany
Female
38
7
145,400.69
2
1
1
83,844.79
0
8,377
15,704,657
Denman
601
France
Male
39
3
72,647.64
1
1
0
41,777.9
1
8,378
15,567,147
Ratten
802
Spain
Male
40
4
0
2
1
1
81,908.09
0
8,379
15,701,319
Baxter
614
Germany
Female
37
6
96,340.81
2
1
1
139,377.24
1
8,380
15,745,266
Norman
434
Spain
Male
55
6
0
1
0
1
73,562.05
1
8,381
15,650,437
Shen
522
Germany
Male
32
8
124,450.36
2
1
1
165,786.1
0
8,382
15,764,314
Reilly
550
Germany
Male
36
2
113,877.23
2
1
0
174,921.91
0
8,383
15,612,594
Ifeanacho
599
Spain
Male
25
3
0
2
1
1
120,790.02
0
8,384
15,593,501
Graham
493
France
Female
36
5
148,667.81
2
1
0
56,092.51
0
8,385
15,804,150
Lysaght
755
France
Male
34
3
0
2
1
1
158,816.03
0
8,386
15,649,297
T'ang
605
France
Female
62
4
111,065.93
2
0
1
125,660.99
0
8,387
15,641,110
Abron
708
France
Male
41
0
0
1
1
0
128,400.62
0
8,388
15,660,608
Chimaraoke
699
France
Male
44
8
158,697.61
1
1
0
107,181.22
0
8,389
15,806,570
Y?an
763
France
Female
53
4
0
1
1
0
77,203.72
1
8,390
15,715,345
Sergeyeva
743
Spain
Male
25
6
0
2
1
0
129,740.11
0
8,391
15,755,521
Ma
660
France
Female
48
0
90,044.32
2
0
1
187,604.97
1
8,392
15,579,074
Obiajulu
619
Germany
Male
38
10
84,651.79
1
1
1
184,754.26
0
8,393
15,641,158
Belcher
739
Germany
Male
32
3
102,128.27
1
1
0
63,981.37
1
8,394
15,752,507
K?
769
Germany
Male
60
9
148,846.39
1
1
0
192,831.67
1
8,395
15,597,983
Brown
692
France
Male
69
10
154,953.94
1
1
1
70,849.47
0
8,396
15,586,069
Abernathy
560
France
Female
30
0
108,883.29
1
1
0
27,914.95
0
8,397
15,655,082
Pape
607
France
Female
48
4
112,070.86
3
1
0
173,568.3
1
8,398
15,720,155
Tao
630
Germany
Male
29
6
131,354.39
1
0
1
9,324.31
1
8,399
15,582,116
Ma
767
Germany
Female
45
7
132,746.2
2
1
0
26,628.88
1
8,400
15,749,365
Earle
543
France
Female
34
8
0
2
0
1
145,601.8
0