Split (1)

train · 10k rows

RowNumber int64	CustomerId int64	Surname string	CreditScore int64	Geography string	Gender string	Age int64	Tenure int64	Balance float64	NumOfProducts int64	HasCrCard int64	IsActiveMember int64	EstimatedSalary float64	Exited int64
3,101	15,735,549	Lori	810	Germany	Male	35	3	96,814.46	2	1	1	120,511.03	0
3,102	15,809,347	Fanucci	763	Germany	Male	32	9	160,680.41	1	1	0	30,886.35	0
3,103	15,660,866	Chimaobim	640	France	Female	29	3	0	2	1	0	2,743.69	0
3,104	15,766,609	Jowers	655	France	Female	47	10	0	2	1	0	167,778.62	0
3,105	15,654,230	Miller	526	Germany	Male	31	5	145,537.21	1	1	0	132,404.64	0
3,106	15,794,566	Kirsova	678	France	Female	28	4	0	2	1	1	144,423.17	1
3,107	15,800,890	T'ien	554	France	Female	45	6	0	2	1	1	181,204.5	0
3,108	15,697,424	Ku	597	Spain	Female	30	2	119,370.11	1	1	1	182,726.22	1
3,109	15,724,536	Chin	560	Spain	Female	28	1	0	2	1	1	120,880.72	0
3,110	15,735,878	Law	850	Germany	Female	47	10	134,381.52	1	0	0	26,812.89	1
3,111	15,707,596	Chung	546	Germany	Female	74	8	114,888.74	2	1	1	66,732.63	1
3,112	15,657,163	Cockrum	623	Germany	Male	42	1	149,332.48	2	1	0	100,834.22	0
3,113	15,622,478	Greaves	698	France	Female	40	7	105,061.74	3	1	0	107,815.31	1
3,114	15,779,529	Grant	620	France	Male	32	7	0	2	1	1	34,665.79	0
3,115	15,636,023	O'Donnell	619	France	Female	40	10	0	1	1	1	147,093.84	1
3,116	15,582,066	Maclean	561	France	Male	21	4	0	1	1	1	36,942.35	0
3,117	15,666,675	Hsieh	753	France	Female	39	7	155,062.8	1	1	1	16,460.77	0
3,118	15,732,987	Hs?	721	Spain	Male	43	3	88,798.34	1	0	0	45,610.63	0
3,119	15,789,432	Mazzanti	451	France	Male	33	6	0	2	1	0	184,954.11	0
3,120	15,663,161	Chiu	680	Germany	Female	51	5	143,139.87	1	0	0	47,795.43	1
3,121	15,694,879	Reeves	590	Spain	Female	23	7	0	2	1	0	196,789.9	0
3,122	15,593,715	Castiglione	634	Germany	Male	27	3	107,027.52	1	1	0	173,425.68	0
3,123	15,575,002	Ferguson	676	France	Male	29	4	140,720.93	1	1	0	36,221.18	0
3,124	15,622,171	Nnamdi	642	France	Male	30	8	80,964.57	2	1	0	174,738.2	0
3,125	15,795,224	Wu	760	France	Male	39	6	178,585.46	1	1	0	67,131.3	1
3,126	15,685,346	Chu	736	Spain	Female	26	4	135,889.13	1	1	1	165,692.03	0
3,127	15,691,808	King	656	France	Male	43	7	134,919.85	1	1	0	194,691.95	0
3,128	15,721,007	Charlton	776	Germany	Male	33	8	115,130.34	1	0	0	129,525.5	1
3,129	15,794,253	Marsh	832	Spain	Female	34	6	138,190.13	2	0	1	146,511.2	0
3,130	15,694,453	Walker	631	Germany	Male	37	9	131,519.49	2	1	1	51,752.18	0
3,131	15,813,113	Chang	795	Spain	Female	56	5	0	1	1	0	35,418.69	1
3,132	15,614,187	Pottinger	648	Germany	Female	39	3	126,935.98	2	0	1	57,995.74	0
3,133	15,619,407	Buckley	615	France	Male	39	4	133,707.09	1	1	1	108,152.75	0
3,134	15,646,227	Folliero	682	France	Female	27	1	97,893.2	1	1	0	166,144.98	0
3,135	15,660,541	Olisanugo	694	France	Male	34	5	127,900.03	1	1	0	101,737.8	0
3,136	15,753,874	Kent	694	France	Male	37	10	143,835.47	1	0	1	33,326.71	0
3,137	15,617,877	Jessop	607	France	Male	44	0	0	2	1	1	81,140.09	0
3,138	15,772,073	Hodge	664	France	Male	48	10	0	1	1	0	140,173.17	1
3,139	15,701,537	Ignatiev	756	France	Male	60	2	0	1	1	1	166,513.49	1
3,140	15,736,228	Chambers	645	France	Female	40	3	129,596.77	1	1	1	103,232.6	0
3,141	15,780,572	Mansom	653	Spain	Male	30	4	0	2	1	0	120,736.04	0
3,142	15,769,596	Yen	710	Germany	Female	24	2	110,407.44	2	0	0	15,832.43	1
3,143	15,586,996	Azikiwe	697	France	Female	76	7	0	2	0	1	188,772.45	0
3,144	15,722,061	Allen	619	Germany	Female	41	8	142,015.76	2	1	0	114,323.66	0
3,145	15,638,003	Komarova	648	Spain	Male	55	1	81,370.07	1	0	1	181,534.04	0
3,146	15,775,590	Mackay	482	Germany	Female	48	2	69,329.47	1	0	0	102,640.52	1
3,147	15,730,688	Yu	548	France	Female	28	8	116,755.5	2	1	1	158,585.17	1
3,148	15,753,102	Curtis	752	Spain	Male	44	6	83,870.33	1	1	0	178,722.24	0
3,149	15,810,075	Fang	648	France	Female	39	6	130,694.89	2	1	1	153,955.38	1
3,150	15,723,373	Page	643	Spain	Female	34	8	117,451.47	1	1	0	65,374.86	0
3,151	15,795,298	Olisaemeka	573	Germany	Female	35	9	206,868.78	2	0	1	102,986.15	0
3,152	15,584,320	Brennan	686	France	Female	39	3	111,695.62	1	0	0	136,643.84	0
3,153	15,724,161	Sutton	644	France	Female	40	9	137,285.26	4	1	0	77,063.63	1
3,154	15,750,056	Hyde	702	France	Female	29	6	149,218.39	1	1	1	9,633.01	0
3,155	15,609,637	Nkemakolam	652	France	Male	51	7	0	2	0	1	43,496.36	0
3,156	15,794,493	Chimaijem	641	Spain	Male	32	7	0	2	1	1	24,267.28	0
3,157	15,569,641	Sung	692	Germany	Female	41	8	130,701.29	1	1	0	59,354.24	1
3,158	15,815,236	Chiganu	574	Spain	Male	34	5	0	2	0	0	28,269.86	0
3,159	15,811,177	Beneventi	643	France	Female	31	3	167,949.48	1	1	0	143,162.34	0
3,160	15,680,587	Esposito	834	France	Male	23	4	131,254.81	1	1	0	20,199.3	0
3,161	15,672,821	Owen	591	France	Male	28	5	0	2	1	1	48,606.92	0
3,162	15,767,681	Smalley	470	Spain	Male	34	9	0	2	0	1	89,013.67	0
3,163	15,600,379	Hsiung	608	Spain	Male	34	7	86,656.13	1	0	1	59,890.29	0
3,164	15,801,336	Ch'ang	649	Germany	Female	37	8	114,737.26	1	1	1	106,655.88	1
3,165	15,721,592	Barton	665	France	Female	38	5	0	2	1	0	156,439.56	0
3,166	15,581,282	Lucchese	651	France	Female	39	6	0	1	1	0	24,176.44	0
3,167	15,746,203	Hsia	555	Germany	Male	62	4	119,817.33	1	0	1	43,507.1	1
3,168	15,583,137	Pope	637	France	Female	48	7	130,806.99	2	1	1	132,005.85	1
3,169	15,680,752	Horrocks	675	France	Female	49	0	0	1	1	1	80,496.71	1
3,170	15,688,172	Tai	677	Spain	Male	40	5	0	2	1	0	88,947.56	0
3,171	15,791,373	Chikezie	850	Germany	Female	35	2	80,931.75	1	0	0	12,639.67	1
3,172	15,589,449	Frye	815	France	Female	56	3	0	3	1	1	94,248.16	1
3,173	15,692,819	Toscani	665	Germany	Male	32	1	132,178.67	1	0	0	11,865.76	0
3,174	15,727,467	Mellor	485	France	Female	27	3	0	2	1	0	141,449.86	0
3,175	15,734,312	Kang	577	Spain	Male	43	6	0	2	1	1	149,457.81	0
3,176	15,764,604	Sutherland	586	France	Female	35	7	164,769.02	3	1	0	119,814.25	1
3,177	15,613,014	Hs?	722	Germany	Male	29	1	107,233.85	2	1	0	24,924.92	0
3,178	15,759,684	Ting	528	France	Female	27	7	176,227.07	2	0	1	139,481.53	0
3,179	15,609,669	Chuang	542	France	Female	39	4	109,949.39	2	1	1	41,268.65	0
3,180	15,685,536	Chu	552	France	Female	34	5	0	2	1	1	1,351.41	0
3,181	15,750,447	Ozoemena	678	France	Female	60	10	117,738.81	1	1	0	147,489.76	1
3,182	15,663,249	Howells	575	Spain	Female	37	9	133,292.45	1	1	0	111,175.09	0
3,183	15,638,646	Lucchese	669	France	Female	43	1	160,474.59	1	1	1	95,963.14	0
3,184	15,734,161	Nnonso	636	France	Male	43	6	0	2	1	0	43,128.95	0
3,185	15,631,070	Gerasimova	667	Germany	Male	55	9	154,393.43	1	1	1	137,674.96	1
3,186	15,761,950	Woronoff	652	Germany	Female	45	9	110,827.49	1	1	1	153,383.54	1
3,187	15,649,668	Wilhelm	637	Germany	Female	36	10	145,750.45	2	1	1	96,660.76	0
3,188	15,713,912	Nebechukwu	516	Spain	Female	45	8	109,044.3	1	0	1	115,818.16	0
3,189	15,586,757	Anenechukwu	801	France	Female	32	4	75,170.54	1	1	1	37,898.5	0
3,190	15,596,522	Meredith	692	France	Female	42	2	0	2	1	0	145,222.93	0
3,191	15,625,395	Chinomso	585	France	Female	28	6	105,795.9	1	1	1	41,219.09	0
3,192	15,760,570	Stephenson	590	France	Male	32	5	0	2	1	0	59,249.83	0
3,193	15,566,689	Chimaoke	554	Spain	Male	66	8	0	2	1	1	116,747.62	0
3,194	15,725,794	Winters	659	France	Female	49	1	0	1	1	0	116,249.72	1
3,195	15,673,539	Napolitani	690	France	Female	26	3	118,097.87	1	1	0	61,257.83	0
3,196	15,705,298	L?	697	Germany	Male	29	0	172,693.54	1	0	0	141,798.98	0
3,197	15,675,791	Williams	610	France	Male	36	4	129,440.3	2	1	0	102,638.35	0
3,198	15,747,043	Giles	599	Spain	Male	36	4	0	2	0	0	13,210.56	0
3,199	15,736,397	Wang	544	France	Male	23	1	96,471.2	1	1	0	35,550.97	0
3,200	15,678,201	Robertson	548	France	Female	46	1	0	1	1	1	104,469.06	1

Subsets and Splits

No community queries yet

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