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
2,101	15,804,814	Ts'ui	759	France	Male	40	4	0	2	1	0	124,615.59	0
2,102	15,778,934	Napolitani	678	Spain	Female	49	8	0	2	0	1	98,090.69	0
2,103	15,802,351	Beers	755	Germany	Female	33	6	90,560.3	2	1	1	42,607.69	0
2,104	15,630,241	Tretyakova	594	France	Male	61	3	62,391.22	1	1	1	192,434.11	0
2,105	15,719,561	Lin	768	France	Male	42	5	0	3	0	0	60,686.4	0
2,106	15,615,096	Costa	492	France	Female	31	7	0	2	1	1	49,463.44	0
2,107	15,659,931	Ibezimako	637	Germany	Female	55	1	123,378.2	1	1	0	81,431.99	1
2,108	15,714,586	Marcelo	646	Spain	Female	42	3	99,836.47	1	0	1	22,909.56	0
2,109	15,634,949	Hay	593	Germany	Male	74	5	161,434.36	2	1	1	65,532.17	0
2,110	15,589,224	Moore	596	Spain	Male	41	5	0	2	0	1	141,053.85	0
2,111	15,795,990	Lumholtz	722	Germany	Female	48	10	138,311.76	1	1	1	3,472.63	1
2,112	15,603,216	Simpson	642	France	Male	25	7	0	2	1	0	102,083.78	0
2,113	15,631,201	Hill	472	Spain	Female	28	4	0	2	1	0	1,801.77	0
2,114	15,686,255	Mouzon	738	Germany	Male	35	6	101,744.84	1	0	0	85,185.44	0
2,115	15,746,594	Wu	732	Spain	Male	33	8	0	1	1	0	119,882.7	0
2,116	15,718,893	Pirozzi	404	Germany	Female	54	4	125,456.07	1	1	0	83,715.66	1
2,117	15,671,609	Ibeabuchi	701	France	Male	44	7	0	2	1	0	23,425.78	0
2,118	15,652,540	Garnsey	683	France	Male	31	2	0	2	0	1	77,326.78	0
2,119	15,774,857	Synnot	460	France	Female	27	7	0	2	1	0	156,150.08	1
2,120	15,791,836	Wildman	690	France	Male	29	5	0	2	1	0	108,577.97	0
2,121	15,651,554	Anenechukwu	618	Germany	Female	54	4	118,449.21	1	1	1	133,573.29	1
2,122	15,583,576	Tai	671	France	Male	30	2	0	1	0	1	102,057.86	0
2,123	15,732,740	Plant	765	Spain	Female	32	9	178,095.55	1	0	0	47,247.56	0
2,124	15,723,320	Azubuike	651	Germany	Female	25	2	109,175.14	2	1	0	114,566.47	0
2,125	15,603,851	Galkin	704	France	Male	32	7	127,785.17	4	0	0	184,464.7	1
2,126	15,777,923	Johnston	544	France	Female	45	6	0	2	0	1	151,401.33	0
2,127	15,735,719	Babbage	790	France	Female	40	9	0	2	1	1	70,607.1	0
2,128	15,703,482	Walker	710	Germany	Male	34	9	134,260.36	2	1	0	147,074.67	0
2,129	15,605,835	Rice	743	France	Male	37	8	69,143.91	2	0	1	105,780.18	0
2,130	15,664,881	Norton	702	France	Male	34	4	100,054.77	1	1	0	109,496.45	0
2,131	15,757,568	Bogolyubov	704	France	Female	45	6	0	1	1	1	137,739.45	0
2,132	15,792,660	Gibbons	614	France	Male	38	2	116,248.88	1	1	0	105,140.92	0
2,133	15,599,722	Chia	609	Spain	Female	43	6	86,053.52	2	1	1	113,276.46	1
2,134	15,726,354	Smith	688	France	Female	32	6	123,157.95	1	1	0	172,531.23	0
2,135	15,610,355	Hunter	713	France	Male	44	1	63,438.91	1	1	0	64,375.4	0
2,136	15,704,284	Ekechukwu	736	Germany	Male	57	9	95,295.39	1	1	0	28,434.44	1
2,137	15,621,893	Bellucci	727	France	Male	18	4	133,550.67	1	1	1	46,941.41	0
2,138	15,588,219	Ford	850	France	Female	38	1	106,871.81	2	1	0	29,333.01	0
2,139	15,688,619	Scott	718	Spain	Male	45	3	105,266.32	2	1	1	193,724.51	0
2,140	15,765,518	Gregson	643	France	Female	51	2	105,229.53	1	1	0	34,967.75	1
2,141	15,616,931	Moore	653	France	Male	41	8	102,768.42	1	1	0	55,663.85	0
2,142	15,758,372	Wallace	674	France	Male	18	7	0	2	1	1	55,753.12	1
2,143	15,782,591	Cook	690	France	Male	35	6	112,689.95	1	1	0	176,962.31	0
2,144	15,612,109	Speth	819	France	Male	38	9	122,334.26	2	1	1	181,507.44	0
2,145	15,613,712	Boag	634	Spain	Male	34	1	0	2	1	0	61,995.57	0
2,146	15,639,322	Grave	633	Spain	Male	33	4	137,847.41	2	1	0	98,349.13	0
2,147	15,594,349	Streeten	850	France	Male	49	5	122,486.47	1	0	1	59,748.19	0
2,148	15,574,167	Fox	665	France	Male	33	2	101,286.11	1	1	1	159,840.51	0
2,149	15,811,842	Artemyeva	630	Spain	Male	26	7	0	2	1	1	6,656.64	0
2,150	15,648,794	Giordano	836	Spain	Male	57	4	101,247.06	1	1	0	37,141.62	1
2,151	15,771,211	Perkins	668	France	Male	38	10	86,977.96	1	0	1	37,094.75	0
2,152	15,588,614	Walton	753	France	Male	57	7	0	1	1	0	159,475.08	1
2,153	15,630,698	Hay	745	France	Female	55	9	110,123.59	1	0	1	51,548.14	1
2,154	15,694,200	Gardner	693	France	Male	36	8	178,111.82	1	0	0	58,719.63	1
2,155	15,721,426	Milne	606	Germany	Male	65	10	126,306.64	3	0	0	7,861.68	1
2,156	15,725,997	She	660	France	Female	35	6	100,768.77	1	1	0	19,199.61	0
2,157	15,762,138	Hu	608	France	Male	42	5	0	2	1	0	178,504.29	0
2,158	15,750,649	Uwakwe	744	France	Female	44	3	0	2	1	1	189,016.14	0
2,159	15,685,706	Bird	731	France	Female	40	7	118,991.79	1	1	1	156,048.64	0
2,160	15,641,835	Anderson	683	France	Male	72	3	140,997.26	1	0	1	52,876.41	0
2,161	15,586,821	Bellew	727	France	Male	28	5	0	2	0	1	19,653.08	0
2,162	15,569,678	Cocci	561	Germany	Male	32	6	166,824.59	1	1	0	139,451.98	0
2,163	15,793,842	Krichauff	700	France	Female	34	2	76,322.69	1	1	0	128,136.29	0
2,164	15,667,554	Cameron	605	France	Male	35	6	0	2	1	1	45,206.57	0
2,165	15,794,479	Becker	767	Spain	Male	77	8	149,083.7	1	1	1	190,146.83	0
2,166	15,585,041	Ainsworth	511	France	Male	33	7	0	2	0	1	158,313.87	0
2,167	15,780,650	Biryukov	667	France	Male	40	9	0	1	1	1	96,670.2	0
2,168	15,780,846	Redding	787	France	Male	33	1	126,588.81	2	0	1	62,163.53	0
2,169	15,805,260	Wood	705	Germany	Female	56	2	143,249.67	1	1	0	88,428.41	1
2,170	15,621,629	Scott	773	Germany	Male	43	8	81,844.91	2	1	1	35,908.46	0
2,171	15,662,151	Gould	554	France	Male	40	4	0	1	0	1	168,780.04	0
2,172	15,747,174	Hao	526	Germany	Male	58	9	190,298.89	2	1	1	191,263.76	0
2,173	15,651,585	Power	661	Germany	Male	35	2	117,212.18	1	1	1	83,052.03	0
2,174	15,649,738	White	698	France	Female	46	0	0	2	1	1	125,962.02	0
2,175	15,633,108	Thorpe	646	France	Male	26	4	139,848.17	1	1	0	164,696.27	0
2,176	15,769,254	Tuan	757	Germany	Female	34	9	101,861.36	2	0	0	187,011.96	0
2,177	15,704,746	Inman	699	Spain	Male	35	2	167,455.66	2	1	1	55,324.49	0
2,178	15,637,644	Hanson	667	France	Female	24	4	0	2	0	1	34,335.55	0
2,179	15,609,562	MacDonald	774	Spain	Female	43	1	116,360.07	1	1	0	17,004.14	0
2,180	15,787,459	Parkes	745	Spain	Male	40	3	88,466.82	1	0	0	116,331.42	0
2,181	15,762,902	Stanley	649	France	Female	42	7	0	2	0	1	22,974.01	0
2,182	15,738,605	Fischer	634	Germany	Female	46	5	123,642.36	1	1	1	49,725.16	1
2,183	15,724,889	Chinweuba	665	Spain	Male	38	9	0	1	0	1	87,412.74	0
2,184	15,730,735	Henning	713	France	Male	38	9	72,286.84	2	1	1	26,136.89	0
2,185	15,689,147	Ogochukwu	652	France	Female	40	1	0	2	1	0	126,554.96	0
2,186	15,730,397	Narelle	739	Spain	Male	40	1	109,681.61	1	1	1	193,321.3	0
2,187	15,762,169	Bergman	556	Germany	Male	37	9	145,018.64	2	1	0	90,928.02	1
2,188	15,589,320	Sagese	699	Spain	Male	34	8	0	1	1	1	76,510.46	0
2,189	15,799,211	Anenechi	708	Spain	Female	32	8	187,487.63	1	1	1	120,115.5	0
2,190	15,798,310	Palerma	480	France	Male	35	2	165,692.91	1	1	1	197,984.58	0
2,191	15,609,998	Okwudilichukwu	700	Germany	Female	59	5	137,648.41	1	1	0	142,977.05	1
2,192	15,583,548	Harrison	525	Spain	Female	47	6	118,560	1	1	0	82,522.61	1
2,193	15,761,763	Jamieson	845	France	Male	33	8	164,385.53	1	1	0	150,664.97	0
2,194	15,764,409	Goodman	613	France	Male	37	9	108,286.5	1	1	1	114,153.44	0
2,195	15,710,161	Ko	850	France	Female	34	2	0	2	1	1	171,706.66	0
2,196	15,735,246	Norman	798	Spain	Female	58	9	0	2	0	0	119,071.56	1
2,197	15,791,700	Ugochukwutubelum	773	Germany	Male	47	2	118,079.47	4	1	1	143,007.49	1
2,198	15,670,753	Uvarova	614	Spain	Male	35	2	127,283.78	1	1	1	31,302.35	0
2,199	15,573,876	Chia	473	Spain	Male	48	8	0	2	1	0	71,139.8	0
2,200	15,770,174	Piazza	762	France	Male	29	6	141,389.06	1	1	0	54,122.89	0

Subsets and Splits

No community queries yet

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