Datasets:
antitheft159
/
creditcarddataanalysis

Dataset card Data Studio Files
xet
Community
1
ID
int64
1
400
Income
float64
10.4
187
Limit
int64
855
13.9k
Rating
int64
93
982
Cards
int64
1
9
Age
int64
23
98
Education
int64
5
20
Gender
stringclasses
2 values
Student
stringclasses
2 values
Married
stringclasses
2 values
Ethnicity
stringclasses
3 values
Balance
int64
0
2k
1
14.891
3,606
283
2
34
11
Male
No
Yes
Caucasian
333
2
106.025
6,645
483
3
82
15
Female
Yes
Yes
Asian
903
3
104.593
7,075
514
4
71
11
Male
No
No
Asian
580
4
148.924
9,504
681
3
36
11
Female
No
No
Asian
964
5
55.882
4,897
357
2
68
16
Male
No
Yes
Caucasian
331
6
80.18
8,047
569
4
77
10
Male
No
No
Caucasian
1,151
7
20.996
3,388
259
2
37
12
Female
No
No
African American
203
8
71.408
7,114
512
2
87
9
Male
No
No
Asian
872
9
15.125
3,300
266
5
66
13
Female
No
No
Caucasian
279
10
71.061
6,819
491
3
41
19
Female
Yes
Yes
African American
1,350
11
63.095
8,117
589
4
30
14
Male
No
Yes
Caucasian
1,407
12
15.045
1,311
138
3
64
16
Male
No
No
Caucasian
0
13
80.616
5,308
394
1
57
7
Female
No
Yes
Asian
204
14
43.682
6,922
511
1
49
9
Male
No
Yes
Caucasian
1,081
15
19.144
3,291
269
2
75
13
Female
No
No
African American
148
16
20.089
2,525
200
3
57
15
Female
No
Yes
African American
0
17
53.598
3,714
286
3
73
17
Female
No
Yes
African American
0
18
36.496
4,378
339
3
69
15
Female
No
Yes
Asian
368
19
49.57
6,384
448
1
28
9
Female
No
Yes
Asian
891
20
42.079
6,626
479
2
44
9
Male
No
No
Asian
1,048
21
17.7
2,860
235
4
63
16
Female
No
No
Asian
89
22
37.348
6,378
458
1
72
17
Female
No
No
Caucasian
968
23
20.103
2,631
213
3
61
10
Male
No
Yes
African American
0
24
64.027
5,179
398
5
48
8
Male
No
Yes
African American
411
25
10.742
1,757
156
3
57
15
Female
No
No
Caucasian
0
26
14.09
4,323
326
5
25
16
Female
No
Yes
African American
671
27
42.471
3,625
289
6
44
12
Female
Yes
No
Caucasian
654
28
32.793
4,534
333
2
44
16
Male
No
No
African American
467
29
186.634
13,414
949
2
41
14
Female
No
Yes
African American
1,809
30
26.813
5,611
411
4
55
16
Female
No
No
Caucasian
915
31
34.142
5,666
413
4
47
5
Female
No
Yes
Caucasian
863
32
28.941
2,733
210
5
43
16
Male
No
Yes
Asian
0
33
134.181
7,838
563
2
48
13
Female
No
No
Caucasian
526
34
31.367
1,829
162
4
30
10
Male
No
Yes
Caucasian
0
35
20.15
2,646
199
2
25
14
Female
No
Yes
Asian
0
36
23.35
2,558
220
3
49
12
Female
Yes
No
Caucasian
419
37
62.413
6,457
455
2
71
11
Female
No
Yes
Caucasian
762
38
30.007
6,481
462
2
69
9
Female
No
Yes
Caucasian
1,093
39
11.795
3,899
300
4
25
10
Female
No
No
Caucasian
531
40
13.647
3,461
264
4
47
14
Male
No
Yes
Caucasian
344
41
34.95
3,327
253
3
54
14
Female
No
No
African American
50
42
113.659
7,659
538
2
66
15
Male
Yes
Yes
African American
1,155
43
44.158
4,763
351
2
66
13
Female
No
Yes
Asian
385
44
36.929
6,257
445
1
24
14
Female
No
Yes
Asian
976
45
31.861
6,375
469
3
25
16
Female
No
Yes
Caucasian
1,120
46
77.38
7,569
564
3
50
12
Female
No
Yes
Caucasian
997
47
19.531
5,043
376
2
64
16
Female
Yes
Yes
Asian
1,241
48
44.646
4,431
320
2
49
15
Male
Yes
Yes
Caucasian
797
49
44.522
2,252
205
6
72
15
Male
No
Yes
Asian
0
50
43.479
4,569
354
4
49
13
Male
Yes
Yes
African American
902
51
36.362
5,183
376
3
49
15
Male
No
Yes
African American
654
52
39.705
3,969
301
2
27
20
Male
No
Yes
African American
211
53
44.205
5,441
394
1
32
12
Male
No
Yes
Caucasian
607
54
16.304
5,466
413
4
66
10
Male
No
Yes
Asian
957
55
15.333
1,499
138
2
47
9
Female
No
Yes
Asian
0
56
32.916
1,786
154
2
60
8
Female
No
Yes
Asian
0
57
57.1
4,742
372
7
79
18
Female
No
Yes
Asian
379
58
76.273
4,779
367
4
65
14
Female
No
Yes
Caucasian
133
59
10.354
3,480
281
2
70
17
Male
No
Yes
Caucasian
333
60
51.872
5,294
390
4
81
17
Female
No
No
Caucasian
531
61
35.51
5,198
364
2
35
20
Female
No
No
Asian
631
62
21.238
3,089
254
3
59
10
Female
No
No
Caucasian
108
63
30.682
1,671
160
2
77
7
Female
No
No
Caucasian
0
64
14.132
2,998
251
4
75
17
Male
No
No
Caucasian
133
65
32.164
2,937
223
2
79
15
Female
No
Yes
African American
0
66
12
4,160
320
4
28
14
Female
No
Yes
Caucasian
602
67
113.829
9,704
694
4
38
13
Female
No
Yes
Asian
1,388
68
11.187
5,099
380
4
69
16
Female
No
No
African American
889
69
27.847
5,619
418
2
78
15
Female
No
Yes
Caucasian
822
70
49.502
6,819
505
4
55
14
Male
No
Yes
Caucasian
1,084
71
24.889
3,954
318
4
75
12
Male
No
Yes
Caucasian
357
72
58.781
7,402
538
2
81
12
Female
No
Yes
Asian
1,103
73
22.939
4,923
355
1
47
18
Female
No
Yes
Asian
663
74
23.989
4,523
338
4
31
15
Male
No
No
Caucasian
601
75
16.103
5,390
418
4
45
10
Female
No
Yes
Caucasian
945
76
33.017
3,180
224
2
28
16
Male
No
Yes
African American
29
77
30.622
3,293
251
1
68
16
Male
Yes
No
Caucasian
532
78
20.936
3,254
253
1
30
15
Female
No
No
Asian
145
79
110.968
6,662
468
3
45
11
Female
No
Yes
Caucasian
391
80
15.354
2,101
171
2
65
14
Male
No
No
Asian
0
81
27.369
3,449
288
3
40
9
Female
No
Yes
Caucasian
162
82
53.48
4,263
317
1
83
15
Male
No
No
Caucasian
99
83
23.672
4,433
344
3
63
11
Male
No
No
Caucasian
503
84
19.225
1,433
122
3
38
14
Female
No
No
Caucasian
0
85
43.54
2,906
232
4
69
11
Male
No
No
Caucasian
0
86
152.298
12,066
828
4
41
12
Female
No
Yes
Asian
1,779
87
55.367
6,340
448
1
33
15
Male
No
Yes
Caucasian
815
88
11.741
2,271
182
4
59
12
Female
No
No
Asian
0
89
15.56
4,307
352
4
57
8
Male
No
Yes
African American
579
90
59.53
7,518
543
3
52
9
Female
No
No
African American
1,176
91
20.191
5,767
431
4
42
16
Male
No
Yes
African American
1,023
92
48.498
6,040
456
3
47
16
Male
No
Yes
Caucasian
812
93
30.733
2,832
249
4
51
13
Male
No
No
Caucasian
0
94
16.479
5,435
388
2
26
16
Male
No
No
African American
937
95
38.009
3,075
245
3
45
15
Female
No
No
African American
0
96
14.084
855
120
5
46
17
Female
No
Yes
African American
0
97
14.312
5,382
367
1
59
17
Male
Yes
No
Asian
1,380
98
26.067
3,388
266
4
74
17
Female
No
Yes
African American
155
99
36.295
2,963
241
2
68
14
Female
Yes
No
African American
375
100
83.851
8,494
607
5
47
18
Male
No
No
Caucasian
1,311