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
4,201
15,751,943
Mai
529
Spain
Female
43
5
0
2
0
0
79,476.63
0
4,202
15,621,227
Hs?eh
668
Germany
Female
46
7
161,806.09
1
1
1
173,052.19
0
4,203
15,757,588
Wright
526
France
Male
30
9
0
2
0
0
100,995.68
0
4,204
15,640,922
Demaine
791
France
Female
52
7
0
1
1
1
122,782.5
0
4,205
15,567,557
Chien
573
France
Male
27
2
128,243.03
1
1
1
11,631.34
0
4,206
15,670,103
Dickinson
565
France
Female
38
5
126,645.13
1
1
1
168,303.55
0
4,207
15,720,929
Kazantseva
604
France
Female
47
8
62,094.71
3
0
0
9,308.1
1
4,208
15,732,774
Marchesi
656
France
Male
37
7
112,291.34
1
1
0
153,157.97
0
4,209
15,628,558
Pan
447
France
Female
44
5
89,188.83
1
1
1
75,408.24
0
4,210
15,729,201
Harewood
682
France
Male
55
9
0
1
1
0
153,356.8
1
4,211
15,731,117
Kao
437
Spain
Male
28
2
109,161.25
1
1
0
152,987.42
0
4,212
15,615,207
Yeh
792
Spain
Male
47
0
0
1
1
1
5,557.88
1
4,213
15,773,512
Bischof
627
Spain
Female
25
4
0
1
1
1
194,313.93
0
4,214
15,572,145
Ashton
767
France
Female
34
8
0
2
1
0
94,767.77
0
4,215
15,642,710
Napolitani
686
France
Male
26
7
0
2
1
0
1,540.89
0
4,216
15,574,213
Wilson
789
France
Female
53
1
158,271.74
1
1
1
5,036.39
1
4,217
15,718,852
Uren
794
France
Male
56
9
96,951.21
1
1
1
71,776.76
0
4,218
15,583,840
Okechukwu
587
Germany
Male
35
5
121,863.61
1
1
1
23,481.69
1
4,219
15,782,418
Ku
589
Germany
Female
19
9
83,495.11
1
1
1
143,022.31
1
4,220
15,813,504
Onyemachukwu
543
Germany
Female
25
1
146,566.01
1
0
1
161,407.48
0
4,221
15,711,314
Kao
589
Spain
Female
45
1
0
1
0
0
125,939.22
1
4,222
15,621,064
Russell
701
Germany
Male
23
5
186,101.18
2
1
1
76,611.33
0
4,223
15,627,847
Woronoff
850
France
Male
40
6
0
1
1
0
136,985.08
1
4,224
15,588,090
Ferri
726
Germany
Female
51
8
107,494.86
2
1
0
140,937.91
1
4,225
15,735,270
Ruggiero
767
Spain
Male
47
2
0
1
1
0
48,161.18
1
4,226
15,671,804
Wilding
648
Spain
Male
36
8
146,943.38
2
1
1
130,041.45
0
4,227
15,753,215
Yashina
651
Spain
Female
36
8
0
2
1
0
91,652.43
0
4,228
15,789,941
Yevseyev
633
France
Female
36
6
125,130.28
1
0
0
125,961.48
0
4,229
15,691,061
Rapuokwu
740
France
Female
37
9
0
2
1
1
73,225.31
0
4,230
15,808,326
Maslov
592
France
Female
34
9
0
2
1
1
20,460.2
0
4,231
15,566,660
Cole
670
France
Female
41
10
0
3
1
0
81,602.02
0
4,232
15,778,947
Sullivan
628
France
Male
36
3
0
2
1
1
8,742.91
0
4,233
15,632,977
Hsiao
745
France
Male
47
5
0
2
0
0
145,789.71
0
4,234
15,591,747
Rossi
705
France
Male
32
3
0
2
0
0
129,576.99
0
4,235
15,567,335
Allsop
559
France
Female
42
7
0
2
1
1
190,040.29
0
4,236
15,609,299
Chamberlain
595
France
Male
29
6
150,685.79
1
1
0
87,771.06
0
4,237
15,669,945
Jackson
492
France
Male
35
4
141,359.37
2
1
0
39,519.53
0
4,238
15,736,271
Dumetochukwu
498
France
Female
29
9
0
1
1
0
190,035.83
0
4,239
15,710,390
Uspensky
655
France
Female
39
6
94,631.26
2
1
1
148,948.52
0
4,240
15,756,481
Garcia
636
France
Female
39
3
118,336.14
1
1
0
184,691.77
0
4,241
15,736,730
Soto
634
France
Female
45
2
0
1
1
1
143,458.31
0
4,242
15,626,040
McDonald
793
Spain
Male
63
0
0
2
0
1
27,166.75
0
4,243
15,746,553
Castles
526
Germany
Male
50
5
124,233.24
1
0
1
159,456.87
1
4,244
15,622,518
Stephenson
768
France
Female
26
5
51,116.26
1
1
1
70,454.79
1
4,245
15,684,908
Davidson
540
Germany
Male
64
1
91,869.69
1
0
1
95,421
0
4,246
15,569,446
Tu
732
France
Female
34
8
122,338.43
2
1
0
187,985.85
0
4,247
15,777,504
Colbert
617
France
Female
30
8
0
1
1
1
92,621.9
0
4,248
15,677,906
Owens
637
Spain
Female
54
5
0
1
0
1
150,836.98
0
4,249
15,703,292
Chimezie
573
France
Male
26
8
86,270.93
2
1
1
90,177.3
0
4,250
15,712,938
Genovese
531
France
Male
44
3
0
2
1
1
34,416.79
0
4,251
15,631,359
Daluchi
489
France
Female
38
5
117,289.92
1
0
0
85,231.88
0
4,252
15,720,847
Sheffield
601
France
Male
35
2
0
2
1
1
118,983.18
0
4,253
15,787,830
Bailey
452
Germany
Male
33
7
153,663.27
1
1
0
111,868.23
0
4,254
15,599,869
Dyson
728
Spain
Female
29
1
0
1
1
1
83,056.22
0
4,255
15,592,078
Davide
590
Germany
Female
27
8
123,599.49
2
1
0
1,676.92
0
4,256
15,596,228
Uwaezuoke
490
France
Male
29
4
0
2
1
0
32,089.57
0
4,257
15,578,462
Hs?
596
Spain
Female
76
9
134,208.25
1
1
1
13,455.43
0
4,258
15,756,894
Onwuka
635
France
Male
29
1
0
1
0
1
24,865.54
0
4,259
15,796,167
Flores
782
Germany
Male
35
7
98,556.89
2
1
0
117,644.36
0
4,260
15,664,808
Nicoll
790
Spain
Female
37
3
0
3
0
0
98,897.32
0
4,261
15,664,555
Hughes
587
France
Male
40
2
0
4
0
1
106,174.7
1
4,262
15,607,278
Romano
794
Spain
Female
46
8
134,593.79
1
1
1
46,386.37
0
4,263
15,585,222
Norman
515
France
Male
41
8
0
2
1
1
185,054.14
0
4,264
15,750,299
Davison
746
Spain
Male
24
10
68,781.82
1
0
1
47,997.39
0
4,265
15,761,294
Manna
667
Germany
Female
56
8
137,464.04
1
1
0
130,846.79
1
4,266
15,810,454
Reed
709
France
Male
32
4
147,307.91
1
0
1
40,861.55
0
4,267
15,673,984
Daniels
536
France
Female
35
8
0
1
1
0
171,840.24
1
4,268
15,609,319
Hunt
711
France
Female
41
3
145,754.91
1
1
1
101,455.07
0
4,269
15,709,941
Feng
753
France
Male
46
8
0
3
1
0
90,747.94
1
4,270
15,580,252
Waters
748
France
Male
44
4
112,610.77
1
0
1
2,048.55
0
4,271
15,741,275
Yuan
623
France
Female
57
7
71,481.79
2
1
1
84,421.34
0
4,272
15,707,132
Yudin
465
France
Male
33
5
0
2
0
1
78,698.09
0
4,273
15,600,708
Calabresi
640
Spain
Female
34
3
77,826.8
1
1
1
168,544.85
0
4,274
15,804,787
Onyemauchechukwu
562
France
Male
75
5
87,140.85
1
1
1
39,351.64
0
4,275
15,690,021
Martin
502
Germany
Female
42
0
132,002.7
1
0
1
28,204.98
1
4,276
15,763,895
Hung
536
France
Male
32
7
178,011.5
2
1
0
22,375.14
0
4,277
15,623,478
Maslova
670
Germany
Female
32
4
102,954.68
2
0
1
134,942.45
0
4,278
15,797,910
Zetticci
775
Germany
Male
51
2
123,783.25
1
1
1
134,901.57
0
4,279
15,577,751
Pisano
759
Germany
Male
30
4
101,802.67
1
0
0
8,693.8
0
4,280
15,781,777
Sutherland
604
France
Male
33
3
148,659.48
1
0
0
42,437.75
0
4,281
15,740,527
Lai
766
Germany
Female
62
7
142,724.48
1
0
1
5,893.23
1
4,282
15,721,251
Watson
554
Spain
Female
41
4
112,152.89
1
0
1
36,242.19
0
4,283
15,602,994
Gorbunov
487
France
Female
53
10
89,550.85
1
0
1
90,076.85
0
4,284
15,750,769
Padovano
725
France
Male
35
7
75,915.75
1
1
0
150,507.43
0
4,285
15,740,175
Raynor
732
Germany
Female
42
2
118,889.66
2
0
0
87,422.15
0
4,286
15,679,968
Ting
623
France
Male
40
5
118,788.57
1
1
0
192,867.4
0
4,287
15,694,404
Eberegbulam
781
France
Female
42
3
156,555.54
1
1
1
175,674.01
0
4,288
15,657,529
Chin
714
Germany
Male
53
1
99,141.86
1
1
1
72,496.05
1
4,289
15,762,882
Manna
577
Germany
Female
31
4
61,211.18
1
1
1
145,250.43
0
4,290
15,642,579
Chang
731
Spain
Female
37
1
128,932.4
1
1
1
180,712.52
0
4,291
15,598,884
Kent
650
Spain
Female
23
5
0
1
1
1
180,622.43
0
4,292
15,770,185
Buckley
779
France
Male
32
10
80,728.15
1
1
0
86,306.75
0
4,293
15,800,287
Micco
706
Spain
Female
46
2
127,660.46
2
1
0
150,156.82
1
4,294
15,665,861
Avdeev
733
Spain
Male
44
3
106,070.89
1
0
1
101,617.43
0
4,295
15,662,203
Bremer
579
Germany
Female
42
3
137,560.38
2
1
1
85,424.34
0
4,296
15,616,454
Davidson
476
Germany
Female
34
8
111,905.43
1
0
1
197,221.81
1
4,297
15,702,788
Gadsdon
775
France
Male
40
9
126,212.64
1
1
0
70,196.57
0
4,298
15,778,149
Connolly
538
Spain
Male
68
9
0
2
1
0
110,440.5
1
4,299
15,680,001
McDonald
602
France
Male
38
7
111,835.94
2
1
0
124,389.61
0
4,300
15,711,991
Chiawuotu
615
France
Male
30
8
0
2
0
0
3,183.15
0