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
5,901
15,569,759
Rawling
583
France
Female
27
4
0
3
1
0
163,113.41
0
5,902
15,712,930
Duncan
587
France
Male
42
1
0
1
0
0
123,006.91
0
5,903
15,586,504
Trevisani
694
France
Male
40
9
0
2
1
0
40,463.03
0
5,904
15,677,317
Ankudinova
570
France
Female
29
4
153,040.03
1
1
1
131,363.57
1
5,905
15,664,270
Balsillie
692
Germany
Male
45
6
142,084.04
4
1
0
188,305.85
1
5,906
15,731,519
Kerr
511
France
Female
30
5
0
2
1
0
143,994.86
0
5,907
15,745,623
Worsnop
788
France
Male
32
4
112,079.58
1
0
0
89,368.59
0
5,908
15,813,862
Yevseyev
526
Spain
Male
66
7
132,044.6
2
1
1
158,365.89
0
5,909
15,641,934
Manna
749
Spain
Female
46
9
66,582.81
1
1
0
78,753.12
1
5,910
15,713,043
Siciliani
691
France
Female
33
6
0
2
1
1
100,408.31
0
5,911
15,700,749
Powell
481
France
Female
39
6
0
1
1
1
24,677.54
0
5,912
15,697,567
Bazarova
752
France
Male
33
4
0
2
1
1
39,570.78
0
5,913
15,715,414
White
658
France
Female
38
6
102,895.1
1
0
0
155,665.76
0
5,914
15,639,530
Buda
679
Spain
Male
42
2
0
1
1
1
168,294.27
0
5,915
15,726,058
Cattaneo
754
Germany
Male
27
7
117,578.35
2
0
1
87,908.01
0
5,916
15,725,665
Lo
679
France
Male
47
10
198,546.1
2
1
0
191,198.92
1
5,917
15,698,872
Brown
633
Spain
Female
39
2
0
2
0
0
191,207.03
0
5,918
15,812,184
Rose
674
France
Female
31
1
0
1
1
0
128,954.05
0
5,919
15,742,609
Lombardo
600
Germany
Male
28
2
116,623.31
1
0
1
59,905.29
0
5,920
15,815,043
McMillan
645
Spain
Male
49
8
0
2
1
0
162,012.6
0
5,921
15,640,648
Howe
698
France
Male
36
6
0
2
0
1
19,231.98
0
5,922
15,627,203
Hsu
508
Spain
Male
54
10
0
1
1
1
175,749.36
0
5,923
15,786,196
Han
555
France
Female
44
3
105,770.7
3
1
0
60,533.96
1
5,924
15,612,095
Calabrese
751
France
Female
48
9
0
1
1
0
137,508.42
1
5,925
15,674,368
Riley
738
France
Female
39
1
94,435.45
2
0
1
189,430.86
0
5,926
15,783,477
Biryukov
706
Germany
Female
39
8
112,889.91
1
0
1
6,723.66
0
5,927
15,757,559
Broadhurst
595
France
Female
53
7
0
2
1
0
41,371.68
1
5,928
15,591,036
Genovesi
577
Germany
Female
43
3
127,940.47
1
0
0
125,140.72
1
5,929
15,761,241
Hsieh
578
Germany
Female
36
8
129,745.1
1
1
1
143,683.75
0
5,930
15,695,078
Kemp
699
France
Male
32
3
0
2
1
1
170,770.44
0
5,931
15,645,744
Chukwudi
826
France
Female
30
5
0
2
0
1
157,397.57
0
5,932
15,566,988
Iqbal
656
Germany
Female
46
7
141,535.52
1
1
0
50,595.15
1
5,933
15,749,300
Teng
556
France
Female
47
2
139,914.27
1
1
1
50,390.98
0
5,934
15,594,340
Tao
569
France
Male
41
4
120,243.49
1
1
0
163,150.03
1
5,935
15,607,065
Chinedum
765
France
Male
34
9
91,835.16
1
0
0
138,280.17
0
5,936
15,778,089
Stevenson
544
Spain
Male
37
2
0
2
0
0
135,067.02
0
5,937
15,773,723
Duncan
588
Spain
Female
22
9
67,178.19
1
1
1
163,534.75
1
5,938
15,697,035
Garrett
740
Spain
Female
31
8
0
2
0
0
86,657.48
0
5,939
15,679,668
Yao
850
Spain
Male
38
7
115,378.94
1
0
1
162,087.82
0
5,940
15,709,861
He
766
Germany
Male
30
4
127,786.28
2
1
1
28,879.3
0
5,941
15,791,958
Mazzi
849
France
Female
41
6
0
2
1
1
169,203.51
1
5,942
15,791,030
Edwards
612
France
Female
33
0
64,900.32
2
1
0
102,426.12
0
5,943
15,695,339
Lucchesi
517
Germany
Male
53
0
109,172.88
1
1
0
54,676.1
1
5,944
15,658,813
Siciliani
645
France
Female
55
7
0
2
1
1
18,369.33
0
5,945
15,715,709
Shih
696
Germany
Male
43
4
114,091.38
1
0
1
159,888.1
0
5,946
15,722,533
Logue
716
France
Female
40
3
0
2
0
1
167,636.15
0
5,947
15,683,118
Rechner
590
France
Male
32
9
0
2
1
0
138,889.15
0
5,948
15,672,798
O'Brien
656
France
Female
45
7
145,933.27
1
1
1
199,392.14
0
5,949
15,680,112
Stewart
473
Germany
Female
35
7
131,504.73
1
1
0
189,560.43
0
5,950
15,714,575
Batt
742
Germany
Female
44
8
107,926.02
1
0
1
17,375.27
1
5,951
15,806,808
Hope
834
Germany
Female
57
8
112,281.6
3
1
0
140,225.14
1
5,952
15,590,637
Ahmed
721
France
Male
41
7
0
2
0
1
61,018.85
0
5,953
15,657,535
Pearson
590
Spain
Male
29
10
0
1
1
1
51,907.72
1
5,954
15,696,141
Kruglov
516
Spain
Female
31
7
0
1
1
0
47,018.75
0
5,955
15,811,947
Gordon
850
France
Male
33
0
124,781.67
1
0
1
33,700.52
0
5,956
15,649,024
Trujillo
748
France
Female
39
9
132,865.56
1
1
1
59,636.43
1
5,957
15,594,928
Pagnotto
798
Germany
Female
38
4
129,055.13
1
1
0
157,147.59
0
5,958
15,765,532
Horton
612
Germany
Male
76
6
96,166.88
1
1
1
191,393.26
0
5,959
15,741,719
DeRose
540
France
Female
40
3
165,298.12
1
0
1
199,862.75
0
5,960
15,665,629
Chiang
719
Spain
Female
33
7
0
2
1
0
20,016.59
0
5,961
15,728,917
Gill
598
France
Male
48
6
120,682.53
1
1
0
30,635.52
1
5,962
15,762,993
Trevisano
796
Spain
Male
32
5
102,773.15
2
0
1
117,832.88
0
5,963
15,571,193
Morrison
579
Germany
Male
42
0
144,386.32
1
1
1
22,497.1
1
5,964
15,653,521
Onuora
850
Germany
Female
40
7
104,449.8
1
1
1
747.88
0
5,965
15,802,220
Ikenna
599
Spain
Male
35
6
137,102.65
1
0
0
76,870.81
0
5,966
15,644,132
Mancini
724
France
Female
30
9
142,475.87
1
1
1
107,848.24
0
5,967
15,600,832
Moss
508
France
Female
43
9
0
1
1
0
103,726.71
0
5,968
15,797,919
Ting
773
Spain
Male
37
2
103,195.2
2
1
0
178,268.36
0
5,969
15,603,743
Tai
526
France
Male
28
1
112,070.44
1
0
1
126,281.83
0
5,970
15,579,714
Pan
542
France
Female
29
7
0
2
0
1
196,651.72
0
5,971
15,634,295
Wilson
470
France
Male
35
1
96,473.59
1
0
0
5,962.3
0
5,972
15,786,680
Bianchi
805
Spain
Male
37
5
0
2
1
0
21,928.81
0
5,973
15,623,499
Holman
548
Germany
Male
49
9
108,437.89
1
0
0
127,022.87
1
5,974
15,691,823
Obidimkpa
672
France
Male
37
5
153,195.59
1
1
1
162,763.01
0
5,975
15,809,279
Wallace
773
France
Male
45
8
96,877.21
1
1
1
113,950.51
0
5,976
15,758,039
Ash
614
France
Male
44
6
0
2
0
1
104,930.46
0
5,977
15,807,163
Ku
537
France
Female
38
10
0
1
0
0
52,337.97
1
5,978
15,631,639
Uspensky
704
France
Female
40
6
95,452.89
1
0
1
179,964.55
0
5,979
15,713,770
Shih
586
Spain
Male
41
3
63,873.56
1
1
0
83,753.64
0
5,980
15,698,167
Kumm
677
France
Female
24
0
148,298.59
2
0
0
182,913.95
0
5,981
15,781,710
Carey
558
Spain
Female
31
7
0
2
1
0
166,720.28
0
5,982
15,801,296
Farber
634
Germany
Female
37
7
143,258.85
2
1
0
192,721.98
0
5,983
15,704,378
Calabrese
655
Germany
Male
37
9
121,342.24
1
1
1
180,241.44
0
5,984
15,767,891
Findlay
619
Germany
Female
28
6
99,152.73
2
1
0
48,475.12
0
5,985
15,640,667
Yu
662
France
Female
41
4
0
2
1
0
126,551.48
0
5,986
15,702,145
Edments
705
Spain
Male
33
7
68,423.89
1
1
1
64,872.55
0
5,987
15,679,738
Brown
527
Spain
Female
35
8
0
1
1
0
98,031.53
1
5,988
15,636,634
Lindon
630
Germany
Female
25
7
79,656.81
1
1
0
93,524.22
0
5,989
15,809,227
Chukwudi
850
France
Male
35
2
0
2
1
1
56,991.66
0
5,990
15,601,811
Caldwell
668
France
Female
53
10
110,240.04
1
0
0
183,980.56
1
5,991
15,625,494
Li Fonti
573
France
Female
32
9
125,321.84
2
1
1
130,234.63
0
5,992
15,723,737
Pitcher
680
France
Male
27
3
0
1
1
0
32,454.26
0
5,993
15,682,955
Capon
758
France
Female
32
2
84,378.9
1
1
1
75,396.43
0
5,994
15,758,856
Kable
597
France
Male
45
7
0
2
0
0
167,756.45
0
5,995
15,746,065
Lo Duca
580
Germany
Male
35
10
136,281.41
2
1
1
24,799.47
0
5,996
15,783,865
Kulikova
622
France
Male
59
5
119,380.37
1
1
1
60,429.43
0
5,997
15,745,455
Navarrete
638
Germany
Male
62
4
108,716.59
2
1
1
74,241.09
0
5,998
15,583,033
Huguley
640
France
Female
20
4
0
2
0
1
78,310.82
0
5,999
15,644,212
Han
644
Spain
Male
28
0
0
2
1
0
119,419.37
0
6,000
15,735,688
Horsley
753
France
Female
31
6
106,596.29
1
0
0
91,305.77
0