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antitheft159
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creditcarddataanalysis

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train · 400 rows

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

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