Datasets:

antitheft159
/

creditcarddataanalysis

Dataset card Data Studio Files Files and versions Community

Split (1)

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
201	23.949	5,343	383	2	40	18	Male	No	Yes	African American	829
202	73.914	7,333	529	6	67	15	Female	No	Yes	Caucasian	1,048
203	21.038	1,448	145	2	58	13	Female	No	Yes	Caucasian	0
204	68.206	6,784	499	5	40	16	Female	Yes	No	African American	1,411
205	57.337	5,310	392	2	45	7	Female	No	No	Caucasian	456
206	10.793	3,878	321	8	29	13	Male	No	No	Caucasian	638
207	23.45	2,450	180	2	78	13	Male	No	No	Caucasian	0
208	10.842	4,391	358	5	37	10	Female	Yes	Yes	Caucasian	1,216
209	51.345	4,327	320	3	46	15	Male	No	No	African American	230
210	151.947	9,156	642	2	91	11	Female	No	Yes	African American	732
211	24.543	3,206	243	2	62	12	Female	No	Yes	Caucasian	95
212	29.567	5,309	397	3	25	15	Male	No	No	Caucasian	799
213	39.145	4,351	323	2	66	13	Male	No	Yes	Caucasian	308
214	39.422	5,245	383	2	44	19	Male	No	No	African American	637
215	34.909	5,289	410	2	62	16	Female	No	Yes	Caucasian	681
216	41.025	4,229	337	3	79	19	Female	No	Yes	Caucasian	246
217	15.476	2,762	215	3	60	18	Male	No	No	Asian	52
218	12.456	5,395	392	3	65	14	Male	No	Yes	Caucasian	955
219	10.627	1,647	149	2	71	10	Female	Yes	Yes	Asian	195
220	38.954	5,222	370	4	76	13	Female	No	No	Caucasian	653
221	44.847	5,765	437	3	53	13	Female	Yes	No	Asian	1,246
222	98.515	8,760	633	5	78	11	Female	No	No	African American	1,230
223	33.437	6,207	451	4	44	9	Male	Yes	No	Caucasian	1,549
224	27.512	4,613	344	5	72	17	Male	No	Yes	Asian	573
225	121.709	7,818	584	4	50	6	Male	No	Yes	Caucasian	701
226	15.079	5,673	411	4	28	15	Female	No	Yes	Asian	1,075
227	59.879	6,906	527	6	78	15	Female	No	No	Caucasian	1,032
228	66.989	5,614	430	3	47	14	Female	No	Yes	Caucasian	482
229	69.165	4,668	341	2	34	11	Female	No	No	African American	156
230	69.943	7,555	547	3	76	9	Male	No	Yes	Asian	1,058
231	33.214	5,137	387	3	59	9	Male	No	No	African American	661
232	25.124	4,776	378	4	29	12	Male	No	Yes	Caucasian	657
233	15.741	4,788	360	1	39	14	Male	No	Yes	Asian	689
234	11.603	2,278	187	3	71	11	Male	No	Yes	Caucasian	0
235	69.656	8,244	579	3	41	14	Male	No	Yes	African American	1,329
236	10.503	2,923	232	3	25	18	Female	No	Yes	African American	191
237	42.529	4,986	369	2	37	11	Male	No	Yes	Asian	489
238	60.579	5,149	388	5	38	15	Male	No	Yes	Asian	443
239	26.532	2,910	236	6	58	19	Female	No	Yes	Caucasian	52
240	27.952	3,557	263	1	35	13	Female	No	Yes	Asian	163
241	29.705	3,351	262	5	71	14	Female	No	Yes	Asian	148
242	15.602	906	103	2	36	11	Male	No	Yes	African American	0
243	20.918	1,233	128	3	47	18	Female	Yes	Yes	Asian	16
244	58.165	6,617	460	1	56	12	Female	No	Yes	Caucasian	856
245	22.561	1,787	147	4	66	15	Female	No	No	Caucasian	0
246	34.509	2,001	189	5	80	18	Female	No	Yes	African American	0
247	19.588	3,211	265	4	59	14	Female	No	No	Asian	199
248	36.364	2,220	188	3	50	19	Male	No	No	Caucasian	0
249	15.717	905	93	1	38	16	Male	Yes	Yes	Caucasian	0
250	22.574	1,551	134	3	43	13	Female	Yes	Yes	Caucasian	98
251	10.363	2,430	191	2	47	18	Female	No	Yes	Asian	0
252	28.474	3,202	267	5	66	12	Male	No	Yes	Caucasian	132
253	72.945	8,603	621	3	64	8	Female	No	No	Caucasian	1,355
254	85.425	5,182	402	6	60	12	Male	No	Yes	African American	218
255	36.508	6,386	469	4	79	6	Female	No	Yes	Caucasian	1,048
256	58.063	4,221	304	3	50	8	Male	No	No	African American	118
257	25.936	1,774	135	2	71	14	Female	No	No	Asian	0
258	15.629	2,493	186	1	60	14	Male	No	Yes	Asian	0
259	41.4	2,561	215	2	36	14	Male	No	Yes	Caucasian	0
260	33.657	6,196	450	6	55	9	Female	No	No	Caucasian	1,092
261	67.937	5,184	383	4	63	12	Male	No	Yes	Asian	345
262	180.379	9,310	665	3	67	8	Female	Yes	Yes	Asian	1,050
263	10.588	4,049	296	1	66	13	Female	No	Yes	Caucasian	465
264	29.725	3,536	270	2	52	15	Female	No	No	African American	133
265	27.999	5,107	380	1	55	10	Male	No	Yes	Caucasian	651
266	40.885	5,013	379	3	46	13	Female	No	Yes	African American	549
267	88.83	4,952	360	4	86	16	Female	No	Yes	Caucasian	15
268	29.638	5,833	433	3	29	15	Female	No	Yes	Asian	942
269	25.988	1,349	142	4	82	12	Male	No	No	Caucasian	0
270	39.055	5,565	410	4	48	18	Female	No	Yes	Caucasian	772
271	15.866	3,085	217	1	39	13	Male	No	No	Caucasian	136
272	44.978	4,866	347	1	30	10	Female	No	No	Caucasian	436
273	30.413	3,690	299	2	25	15	Female	Yes	No	Asian	728
274	16.751	4,706	353	6	48	14	Male	Yes	No	Asian	1,255
275	30.55	5,869	439	5	81	9	Female	No	No	African American	967
276	163.329	8,732	636	3	50	14	Male	No	Yes	Caucasian	529
277	23.106	3,476	257	2	50	15	Female	No	No	Caucasian	209
278	41.532	5,000	353	2	50	12	Male	No	Yes	Caucasian	531
279	128.04	6,982	518	2	78	11	Female	No	Yes	Caucasian	250
280	54.319	3,063	248	3	59	8	Female	Yes	No	Caucasian	269
281	53.401	5,319	377	3	35	12	Female	No	No	African American	541
282	36.142	1,852	183	3	33	13	Female	No	No	African American	0
283	63.534	8,100	581	2	50	17	Female	No	Yes	Caucasian	1,298
284	49.927	6,396	485	3	75	17	Female	No	Yes	Caucasian	890
285	14.711	2,047	167	2	67	6	Male	No	Yes	Caucasian	0
286	18.967	1,626	156	2	41	11	Female	No	Yes	Asian	0
287	18.036	1,552	142	2	48	15	Female	No	No	Caucasian	0
288	60.449	3,098	272	4	69	8	Male	No	Yes	Caucasian	0
289	16.711	5,274	387	3	42	16	Female	No	Yes	Asian	863
290	10.852	3,907	296	2	30	9	Male	No	No	Caucasian	485
291	26.37	3,235	268	5	78	11	Male	No	Yes	Asian	159
292	24.088	3,665	287	4	56	13	Female	No	Yes	Caucasian	309
293	51.532	5,096	380	2	31	15	Male	No	Yes	Caucasian	481
294	140.672	11,200	817	7	46	9	Male	No	Yes	African American	1,677
295	42.915	2,532	205	4	42	13	Male	No	Yes	Asian	0
296	27.272	1,389	149	5	67	10	Female	No	Yes	Caucasian	0
297	65.896	5,140	370	1	49	17	Female	No	Yes	Caucasian	293
298	55.054	4,381	321	3	74	17	Male	No	Yes	Asian	188
299	20.791	2,672	204	1	70	18	Female	No	No	African American	0
300	24.919	5,051	372	3	76	11	Female	No	Yes	African American	711

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.