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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
301	21.786	4,632	355	1	50	17	Male	No	Yes	Caucasian	580
302	31.335	3,526	289	3	38	7	Female	No	No	Caucasian	172
303	59.855	4,964	365	1	46	13	Female	No	Yes	Caucasian	295
304	44.061	4,970	352	1	79	11	Male	No	Yes	African American	414
305	82.706	7,506	536	2	64	13	Female	No	Yes	Asian	905
306	24.46	1,924	165	2	50	14	Female	No	Yes	Asian	0
307	45.12	3,762	287	3	80	8	Male	No	Yes	Caucasian	70
308	75.406	3,874	298	3	41	14	Female	No	Yes	Asian	0
309	14.956	4,640	332	2	33	6	Male	No	No	Asian	681
310	75.257	7,010	494	3	34	18	Female	No	Yes	Caucasian	885
311	33.694	4,891	369	1	52	16	Male	Yes	No	African American	1,036
312	23.375	5,429	396	3	57	15	Female	No	Yes	Caucasian	844
313	27.825	5,227	386	6	63	11	Male	No	Yes	Caucasian	823
314	92.386	7,685	534	2	75	18	Female	No	Yes	Asian	843
315	115.52	9,272	656	2	69	14	Male	No	No	African American	1,140
316	14.479	3,907	296	3	43	16	Male	No	Yes	Caucasian	463
317	52.179	7,306	522	2	57	14	Male	No	No	Asian	1,142
318	68.462	4,712	340	2	71	16	Male	No	Yes	Caucasian	136
319	18.951	1,485	129	3	82	13	Female	No	No	Caucasian	0
320	27.59	2,586	229	5	54	16	Male	No	Yes	African American	0
321	16.279	1,160	126	3	78	13	Male	Yes	Yes	African American	5
322	25.078	3,096	236	2	27	15	Female	No	Yes	Caucasian	81
323	27.229	3,484	282	6	51	11	Male	No	No	Caucasian	265
324	182.728	13,913	982	4	98	17	Male	No	Yes	Caucasian	1,999
325	31.029	2,863	223	2	66	17	Male	Yes	Yes	Asian	415
326	17.765	5,072	364	1	66	12	Female	No	Yes	Caucasian	732
327	125.48	10,230	721	3	82	16	Male	No	Yes	Caucasian	1,361
328	49.166	6,662	508	3	68	14	Female	No	No	Asian	984
329	41.192	3,673	297	3	54	16	Female	No	Yes	Caucasian	121
330	94.193	7,576	527	2	44	16	Female	No	Yes	Caucasian	846
331	20.405	4,543	329	2	72	17	Male	Yes	No	Asian	1,054
332	12.581	3,976	291	2	48	16	Male	No	Yes	Caucasian	474
333	62.328	5,228	377	3	83	15	Male	No	No	Caucasian	380
334	21.011	3,402	261	2	68	17	Male	No	Yes	African American	182
335	24.23	4,756	351	2	64	15	Female	No	Yes	Caucasian	594
336	24.314	3,409	270	2	23	7	Female	No	Yes	Caucasian	194
337	32.856	5,884	438	4	68	13	Male	No	No	Caucasian	926
338	12.414	855	119	3	32	12	Male	No	Yes	African American	0
339	41.365	5,303	377	1	45	14	Male	No	No	Caucasian	606
340	149.316	10,278	707	1	80	16	Male	No	No	African American	1,107
341	27.794	3,807	301	4	35	8	Female	No	Yes	African American	320
342	13.234	3,922	299	2	77	17	Female	No	Yes	Caucasian	426
343	14.595	2,955	260	5	37	9	Male	No	Yes	African American	204
344	10.735	3,746	280	2	44	17	Female	No	Yes	Caucasian	410
345	48.218	5,199	401	7	39	10	Male	No	Yes	Asian	633
346	30.012	1,511	137	2	33	17	Male	No	Yes	Caucasian	0
347	21.551	5,380	420	5	51	18	Male	No	Yes	Asian	907
348	160.231	10,748	754	2	69	17	Male	No	No	Caucasian	1,192
349	13.433	1,134	112	3	70	14	Male	No	Yes	Caucasian	0
350	48.577	5,145	389	3	71	13	Female	No	Yes	Asian	503
351	30.002	1,561	155	4	70	13	Female	No	Yes	Caucasian	0
352	61.62	5,140	374	1	71	9	Male	No	Yes	Caucasian	302
353	104.483	7,140	507	2	41	14	Male	No	Yes	African American	583
354	41.868	4,716	342	2	47	18	Male	No	No	Caucasian	425
355	12.068	3,873	292	1	44	18	Female	No	Yes	Asian	413
356	180.682	11,966	832	2	58	8	Female	No	Yes	African American	1,405
357	34.48	6,090	442	3	36	14	Male	No	No	Caucasian	962
358	39.609	2,539	188	1	40	14	Male	No	Yes	Asian	0
359	30.111	4,336	339	1	81	18	Male	No	Yes	Caucasian	347
360	12.335	4,471	344	3	79	12	Male	No	Yes	African American	611
361	53.566	5,891	434	4	82	10	Female	No	No	Caucasian	712
362	53.217	4,943	362	2	46	16	Female	No	Yes	Asian	382
363	26.162	5,101	382	3	62	19	Female	No	No	African American	710
364	64.173	6,127	433	1	80	10	Male	No	Yes	Caucasian	578
365	128.669	9,824	685	3	67	16	Male	No	Yes	Asian	1,243
366	113.772	6,442	489	4	69	15	Male	Yes	Yes	Caucasian	790
367	61.069	7,871	564	3	56	14	Male	No	Yes	Caucasian	1,264
368	23.793	3,615	263	2	70	14	Male	No	No	African American	216
369	89	5,759	440	3	37	6	Female	No	No	Caucasian	345
370	71.682	8,028	599	3	57	16	Male	No	Yes	Caucasian	1,208
371	35.61	6,135	466	4	40	12	Male	No	No	Caucasian	992
372	39.116	2,150	173	4	75	15	Male	No	No	Caucasian	0
373	19.782	3,782	293	2	46	16	Female	Yes	No	Caucasian	840
374	55.412	5,354	383	2	37	16	Female	Yes	Yes	Caucasian	1,003
375	29.4	4,840	368	3	76	18	Female	No	Yes	Caucasian	588
376	20.974	5,673	413	5	44	16	Female	No	Yes	Caucasian	1,000
377	87.625	7,167	515	2	46	10	Female	No	No	African American	767
378	28.144	1,567	142	3	51	10	Male	No	Yes	Caucasian	0
379	19.349	4,941	366	1	33	19	Male	No	Yes	Caucasian	717
380	53.308	2,860	214	1	84	10	Male	No	Yes	Caucasian	0
381	115.123	7,760	538	3	83	14	Female	No	No	African American	661
382	101.788	8,029	574	2	84	11	Male	No	Yes	Caucasian	849
383	24.824	5,495	409	1	33	9	Male	Yes	No	Caucasian	1,352
384	14.292	3,274	282	9	64	9	Male	No	Yes	Caucasian	382
385	20.088	1,870	180	3	76	16	Male	No	No	African American	0
386	26.4	5,640	398	3	58	15	Female	No	No	Asian	905
387	19.253	3,683	287	4	57	10	Male	No	No	African American	371
388	16.529	1,357	126	3	62	9	Male	No	No	Asian	0
389	37.878	6,827	482	2	80	13	Female	No	No	Caucasian	1,129
390	83.948	7,100	503	2	44	18	Male	No	No	Caucasian	806
391	135.118	10,578	747	3	81	15	Female	No	Yes	Asian	1,393
392	73.327	6,555	472	2	43	15	Female	No	No	Caucasian	721
393	25.974	2,308	196	2	24	10	Male	No	No	Asian	0
394	17.316	1,335	138	2	65	13	Male	No	No	African American	0
395	49.794	5,758	410	4	40	8	Male	No	No	Caucasian	734
396	12.096	4,100	307	3	32	13	Male	No	Yes	Caucasian	560
397	13.364	3,838	296	5	65	17	Male	No	No	African American	480
398	57.872	4,171	321	5	67	12	Female	No	Yes	Caucasian	138
399	37.728	2,525	192	1	44	13	Male	No	Yes	Caucasian	0
400	18.701	5,524	415	5	64	7	Female	No	No	Asian	966

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