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
3,701
15,747,345
Bergamaschi
678
France
Female
22
6
118,064.93
2
1
1
195,424.01
0
3,702
15,678,317
Manfrin
603
France
Male
46
2
0
2
1
1
59,563.49
0
3,703
15,698,335
Bergamaschi
504
France
Female
73
8
0
1
1
1
34,595.58
0
3,704
15,768,451
MacDonald
739
Germany
Male
40
5
149,131.03
3
1
1
60,036.99
1
3,705
15,753,213
Lees
604
France
Female
34
7
0
2
1
0
193,021.49
0
3,706
15,769,645
Senior
612
France
Female
35
3
0
1
1
1
48,108.72
0
3,707
15,657,565
Nwokezuike
629
Spain
Female
44
6
125,512.98
2
0
0
79,082.76
0
3,708
15,620,323
Ekwueme
652
Spain
Female
42
3
83,492.07
2
1
0
37,914.12
0
3,709
15,679,983
Garmon
565
France
Male
34
7
0
1
0
0
74,593.84
0
3,710
15,812,616
Enyinnaya
707
France
Female
49
10
0
1
1
0
82,967.97
1
3,711
15,601,796
Chizuoke
645
France
Male
30
1
125,739.26
1
1
1
193,441.23
0
3,712
15,729,489
Hyde
762
Germany
Female
34
8
98,592.88
1
0
1
191,790.29
1
3,713
15,613,216
Cameron
639
Spain
Female
39
1
141,789.15
1
1
0
92,455.96
0
3,714
15,657,937
Lord
709
Germany
Male
22
0
112,949.71
1
0
0
155,231.55
0
3,715
15,815,428
Biryukova
823
France
Male
34
3
105,057.33
1
1
0
9,217.92
0
3,716
15,640,409
Carpenter
817
Germany
Female
46
0
89,087.89
1
0
1
87,941.85
1
3,717
15,699,492
Lorenzo
665
Germany
Female
27
2
147,435.96
1
0
0
187,508.06
0
3,718
15,623,536
Madukwe
646
Germany
Male
39
0
154,439.86
1
1
0
171,519.06
0
3,719
15,707,551
Hutcheon
568
France
Male
30
8
73,054.37
2
1
1
27,012
0
3,720
15,577,999
Sleeman
850
France
Female
62
1
124,678.35
1
1
0
70,916
1
3,721
15,788,775
Milne
473
Germany
Male
40
8
152,576.25
2
1
0
73,073.68
0
3,722
15,758,362
Williamson
731
France
Female
41
9
152,243.57
1
1
1
88,783.59
0
3,723
15,807,961
Bruno
619
France
Male
25
4
0
1
1
0
145,524.36
0
3,724
15,710,978
Palerma
715
Germany
Male
42
2
88,120.97
2
1
1
21,333.22
0
3,725
15,703,541
Wang
772
Germany
Female
51
9
143,930.92
1
0
1
46,675.51
1
3,726
15,626,474
Onyemere
686
France
Female
31
1
0
2
1
0
4,802.25
0
3,727
15,608,344
Dawson
749
Germany
Female
29
7
137,059.05
3
1
0
102,975.72
1
3,728
15,768,367
Nebechukwu
781
France
Female
27
7
186,558.55
1
1
1
175,071.29
1
3,729
15,806,210
Bateman
675
Spain
Male
66
5
115,654.47
2
1
1
131,970.86
0
3,730
15,697,702
Lord
730
Spain
Male
29
2
0
2
1
0
14,174.09
0
3,731
15,689,152
Loggia
683
Spain
Male
38
3
126,152.84
1
0
0
15,378.75
0
3,732
15,568,573
Graham
554
Germany
Female
51
7
105,701.91
1
0
1
179,797.79
1
3,733
15,689,598
Dean
722
France
Male
46
6
0
1
1
1
93,917.68
1
3,734
15,713,374
Jarvis
689
Germany
Male
67
9
157,094.78
1
1
1
99,490.01
0
3,735
15,679,733
Haugh
796
Germany
Male
40
2
113,228.38
2
1
1
46,415.09
0
3,736
15,759,274
Micklem
447
France
Female
32
10
0
1
1
1
151,815.76
0
3,737
15,607,748
Bennett
498
Germany
Male
37
8
108,432.88
2
1
1
14,865.05
0
3,738
15,607,577
Roberts
663
Spain
Male
27
8
0
1
1
1
188,007.99
0
3,739
15,813,697
Onyekaozulu
498
Germany
Female
44
2
120,702.67
2
1
1
98,175.74
0
3,740
15,801,125
Kegley
627
France
Female
32
1
0
1
1
0
106,851.7
0
3,741
15,777,855
Manna
649
France
Male
45
7
0
2
0
1
75,204.21
0
3,742
15,635,396
Thompson
738
Germany
Female
29
9
139,106.19
1
1
0
141,872.05
1
3,743
15,698,031
Romano
587
Germany
Female
39
6
101,851.8
2
1
0
7,103.71
0
3,744
15,678,944
Brown
655
Germany
Female
32
6
130,935.56
1
1
0
9,241.83
1
3,745
15,718,507
Su
647
Germany
Male
37
3
116,509.99
1
1
1
149,517.71
1
3,746
15,808,334
Mackay
776
Germany
Female
37
1
93,124.04
2
1
1
196,079.32
0
3,747
15,804,709
Watt
688
Germany
Male
35
5
111,578.18
1
0
0
166,165.93
1
3,748
15,645,835
Milani
605
France
Male
32
9
0
2
1
1
55,724.24
0
3,749
15,738,166
Hsu
596
France
Female
39
10
86,546.29
1
0
1
131,768.98
0
3,750
15,675,360
Valenzuela
427
France
Male
33
8
0
1
1
1
13,858.95
0
3,751
15,793,042
Sung
629
France
Male
39
2
129,669.32
2
1
0
82,774.07
0
3,752
15,630,106
Lo
496
Spain
Male
29
2
0
2
1
0
55,389.59
0
3,753
15,810,385
Giordano
717
Spain
Female
36
2
164,557.95
1
0
1
82,336.73
0
3,754
15,578,211
Connolly
777
France
Male
23
6
0
2
1
1
163,225.48
0
3,755
15,572,792
Bellucci
535
Spain
Male
35
8
118,989.92
1
1
1
135,536.72
0
3,756
15,620,030
Jamieson
744
France
Male
29
1
0
1
0
0
82,422.97
0
3,757
15,783,541
Fomina
755
France
Male
31
5
0
2
0
1
194,660.78
0
3,758
15,679,284
Aksenov
593
Spain
Female
45
6
79,259.75
1
1
0
55,347.28
0
3,759
15,582,910
Turnbull
514
France
Male
38
4
112,230.38
1
1
0
16,717.11
1
3,760
15,688,337
Dixon
721
France
Male
40
9
118,129.87
1
1
1
160,277.65
0
3,761
15,734,970
White
835
Spain
Male
38
7
86,824.09
1
0
0
175,905.97
0
3,762
15,759,140
Long
682
France
Female
64
10
128,306.7
1
0
1
66,040.83
0
3,763
15,643,042
Han
590
Germany
Female
40
2
117,641.43
2
0
0
92,198.05
0
3,764
15,773,868
Belov
653
Germany
Female
37
3
125,734.2
2
1
0
134,625.09
1
3,765
15,615,820
MacDonald
837
France
Male
49
8
103,302.37
1
1
1
50,974.57
0
3,766
15,730,273
Parsons
841
France
Male
27
8
0
1
1
0
171,922.72
0
3,767
15,724,890
Cross
584
Spain
Male
36
4
82,696.09
2
0
0
83,058.14
0
3,768
15,765,952
Milanesi
769
France
Male
29
4
145,471.37
1
1
0
188,382.77
0
3,769
15,685,920
Lombardo
599
Spain
Male
34
2
101,506.66
1
0
0
198,030.24
0
3,770
15,663,263
Collins
698
France
Male
47
5
156,265.31
2
0
0
1,055.66
0
3,771
15,568,953
Alexeieva
477
France
Male
27
1
128,554.98
1
1
1
133,173.19
0
3,772
15,643,361
Cullen
477
Germany
Male
34
8
139,959.55
2
1
1
189,875.83
0
3,773
15,699,486
Johnson
745
Spain
Male
34
7
132,944.53
1
1
1
31,802.92
0
3,774
15,747,854
Rudd
749
France
Female
35
3
0
3
1
1
132,649.85
0
3,775
15,691,785
Findlay
850
France
Male
61
1
0
1
1
0
53,067.83
1
3,776
15,709,004
Mai
528
Germany
Male
22
5
93,547.23
2
0
1
961.57
0
3,777
15,652,218
Morrison
750
France
Male
33
2
152,302.72
1
1
0
71,333.44
0
3,778
15,697,127
Monaldo
543
France
Female
31
2
147,674.26
1
1
1
16,658.76
0
3,779
15,658,486
Gidney
579
Spain
Female
59
3
148,021.12
1
1
1
74,878.22
0
3,780
15,694,160
Sagese
624
France
Male
37
0
0
2
0
0
112,104.55
0
3,781
15,685,290
Wall
595
Germany
Male
46
5
142,360.62
2
1
0
48,421.4
1
3,782
15,701,042
Dalton
596
Germany
Female
27
2
151,027.56
1
1
0
170,320.58
0
3,783
15,680,449
Hsing
431
Germany
Female
44
2
138,843.7
1
1
0
37,688.31
1
3,784
15,599,860
Warner
647
Spain
Female
26
8
109,958.15
1
1
1
136,592.24
1
3,785
15,723,169
Williams
640
France
Female
31
9
138,857.59
1
1
0
48,640.77
0
3,786
15,803,842
Dunn
752
Germany
Female
45
3
105,426.5
2
0
1
89,773.45
0
3,787
15,728,224
Kerr
710
Germany
Female
41
9
149,155.53
2
1
0
42,131.26
1
3,788
15,644,174
Marchesi
638
Germany
Male
27
4
135,096.05
1
1
1
186,523.72
1
3,789
15,707,110
Endrizzi
660
Germany
Male
28
2
170,890.05
2
1
0
41,758.9
0
3,790
15,765,415
King
609
Spain
Female
45
4
89,122.3
1
1
1
199,256.98
0
3,791
15,756,751
Griffiths
596
Spain
Female
54
0
78,126.28
1
1
1
153,482.91
1
3,792
15,795,151
Hartzler
705
France
Female
38
3
123,894.43
1
1
0
21,177.1
0
3,793
15,632,859
Chukwudi
444
France
Male
36
7
0
2
0
1
138,743.86
0
3,794
15,584,037
Denisov
727
Germany
Male
58
5
106,913.43
1
1
0
25,881
1
3,795
15,621,409
Endrizzi
496
France
Male
32
4
127,845.83
1
1
0
66,469.2
0
3,796
15,581,102
Baresi
554
France
Female
22
8
0
2
0
1
142,670.61
0
3,797
15,578,096
Nnachetam
537
France
Male
26
7
106,397.75
1
0
0
103,563.23
0
3,798
15,669,887
Lambert
839
France
Female
51
3
0
1
1
1
69,101.23
1
3,799
15,621,834
Game
700
Spain
Female
43
0
0
2
1
0
59,475.35
0
3,800
15,655,341
Chinagorom
458
Spain
Female
35
5
166,492.48
1
1
0
135,287.74
0