Split (1)

train · 10k rows

RowNumber int64 1 10k	CustomerId int64 15.6M 15.8M	Surname stringlengths 2 23	CreditScore int64 350 850	Geography stringclasses 3 values	Gender stringclasses 2 values	Age int64 18 92	Tenure int64 0 10	Balance float64 0 251k	NumOfProducts int64 1 4	HasCrCard int64 0 1	IsActiveMember int64 0 1	EstimatedSalary float64 11.6 200k	Exited int64 0 1
9,101	15,743,075	Ko	659	France	Male	35	6	0	2	1	1	58,879.11	0
9,102	15,660,980	Cairns	597	Spain	Male	38	6	115,702.67	2	1	1	25,059.05	0
9,103	15,810,942	Chiemela	445	Germany	Female	61	2	137,655.31	1	0	1	29,909.84	0
9,104	15,728,362	Robertson	671	France	Female	29	3	0	2	1	0	158,043.11	0
9,105	15,683,339	P'eng	656	Spain	Female	34	6	59,877.33	1	1	0	14,032.62	1
9,106	15,685,476	Tseng	658	France	Male	31	5	100,082.14	1	0	1	49,809.88	0
9,107	15,663,650	Russell	698	Germany	Male	52	10	107,304.39	3	1	0	28,806.32	1
9,108	15,617,434	Yen	655	Spain	Male	38	9	0	1	0	1	90,490.33	0
9,109	15,622,470	Yeh	772	Spain	Male	41	10	96,032.22	1	1	1	75,825.57	0
9,110	15,703,682	Kalinina	681	Spain	Male	33	10	0	1	0	0	158,336.36	0
9,111	15,727,391	Collier	688	Germany	Male	29	9	144,553.5	2	1	0	143,454.95	0
9,112	15,711,062	Thomas	633	Germany	Male	40	5	86,172.81	2	1	1	117,279.49	0
9,113	15,567,339	Shaw	735	France	Male	73	9	0	1	1	1	114,283.33	0
9,114	15,760,662	Francis	521	Germany	Female	29	2	87,212.8	1	1	1	994.86	0
9,115	15,605,737	George	541	France	Male	36	5	0	2	1	0	124,795.84	0
9,116	15,692,977	Ikenna	612	Germany	Female	36	2	130,700.92	2	0	0	77,592.8	0
9,117	15,672,082	Schatz	562	France	Male	62	3	0	2	1	0	105,986.01	0
9,118	15,600,280	Tao	703	France	Female	32	6	0	2	0	0	33,606.52	0
9,119	15,804,052	Scott	710	Spain	Male	23	6	0	2	1	1	134,188.11	0
9,120	15,576,065	Sims	731	Spain	Female	40	5	171,325.98	1	1	1	159,718.27	1
9,121	15,796,838	Chibugo	703	Spain	Male	58	4	92,930.92	1	0	1	85,148.78	0
9,122	15,693,526	Ku	618	France	Female	40	0	0	1	1	0	119,059.13	0
9,123	15,748,595	Stanton	689	France	Female	29	1	77,556.79	2	1	1	122,998.26	0
9,124	15,679,029	Kung	718	France	Male	33	7	102,874.28	1	0	0	117,841.06	0
9,125	15,753,639	Gibson	608	France	Male	37	5	146,093.39	2	0	0	160,593.41	0
9,126	15,604,138	Iheanacho	749	Spain	Male	34	2	0	1	0	0	174,189.04	1
9,127	15,666,095	Costa	753	Spain	Male	51	4	79,811.72	2	0	1	68,260.27	1
9,128	15,643,487	Sal	630	Spain	Male	39	10	105,473.74	1	0	0	58,854.88	1
9,129	15,764,033	Lin	693	Germany	Female	43	1	121,927.92	1	1	0	87,994.95	1
9,130	15,747,288	Ferri	838	Spain	Female	40	6	61,671.19	1	0	1	150,659.35	1
9,131	15,790,599	Yin	756	Germany	Female	39	5	149,363.12	2	1	1	109,098.39	0
9,132	15,737,705	Avdeyeva	775	France	Female	27	4	152,309.37	1	1	0	104,112	0
9,133	15,737,194	Tu	635	France	Female	33	5	0	2	1	0	122,949.71	0
9,134	15,726,776	Donnelly	705	Spain	Male	36	1	111,629.29	1	1	1	21,807.16	0
9,135	15,804,357	Loggia	481	France	Male	40	3	0	1	1	1	32,319.93	0
9,136	15,664,432	Chao	727	Spain	Female	49	7	96,296.78	1	1	0	190,457.87	1
9,137	15,688,984	Belonwu	595	France	Male	20	4	95,830.43	1	1	0	177,738.98	0
9,138	15,583,026	Welch	535	France	Female	38	0	135,919.33	1	1	0	80,425.65	0
9,139	15,771,668	Henderson	578	France	Male	59	10	185,966.64	1	0	0	9,445.42	1
9,140	15,779,904	Yobanna	597	France	Female	29	5	0	2	1	1	174,825.57	0
9,141	15,784,323	Gallo	449	France	Female	21	7	0	2	0	0	175,743.92	0
9,142	15,756,277	Wilson	850	Germany	Female	43	8	92,244.83	2	1	0	54,949.73	0
9,143	15,663,312	Marino	494	France	Female	35	9	112,727.06	2	1	0	183,752.91	0
9,144	15,793,197	Bailey	676	France	Female	34	8	100,359.54	1	0	0	46,038.28	0
9,145	15,731,463	Gboliwe	818	Germany	Male	43	10	105,301.5	1	1	1	78,941.59	0
9,146	15,621,768	Chukwuhaenye	712	Spain	Male	45	6	112,994.65	1	0	0	198,398.68	0
9,147	15,691,323	Bianchi	672	Germany	Male	40	4	89,025.88	2	1	0	188,892.19	0
9,148	15,781,326	Ford	636	France	Male	35	9	95,478.17	1	0	0	169,286.74	0
9,149	15,595,640	Rizzo	698	France	Male	37	8	0	2	0	0	145,004.39	0
9,150	15,814,331	Lung	597	Germany	Female	43	7	119,127.46	2	1	0	55,809.92	0
9,151	15,602,030	Ramirez	717	France	Male	28	4	128,206.79	1	1	1	54,272.12	0
9,152	15,747,974	Sabbatini	614	France	Male	49	1	0	2	1	0	192,440.54	0
9,153	15,611,315	Ts'ao	708	Germany	Female	23	4	71,433.08	1	1	0	103,697.57	0
9,154	15,636,977	Trevisan	507	Germany	Male	36	9	118,214.32	3	1	0	119,110.03	1
9,155	15,690,337	Chinwenma	581	France	Female	27	5	102,258.11	2	1	0	194,681.6	0
9,156	15,680,666	Berry	579	Spain	Female	39	2	151,963.26	2	1	0	158,948.63	0
9,157	15,679,551	Colombo	504	Spain	Female	46	2	163,764.84	1	1	1	165,122.55	1
9,158	15,778,915	Harris	737	France	Female	32	7	128,551.36	2	0	1	189,402.71	0
9,159	15,568,849	Bryan	540	Spain	Female	31	10	118,158.74	1	1	1	158,027.57	0
9,160	15,747,762	Chigozie	609	France	Male	32	7	118,520.41	1	0	0	3,815.48	0
9,161	15,753,679	Mullawirraburka	778	France	Male	24	4	0	2	1	1	162,809.2	0
9,162	15,750,049	Steele	621	France	Male	40	10	163,823.37	1	0	0	89,519.47	0
9,163	15,606,097	Zakharov	665	Germany	Male	63	7	104,469.58	1	1	1	25,165.36	1
9,164	15,802,368	Ch'eng	608	France	Female	47	6	0	1	1	1	126,012.57	0
9,165	15,767,488	Berry	680	Spain	Male	36	7	0	2	1	0	20,109.21	0
9,166	15,669,946	Jen	663	Germany	Female	46	2	141,726.88	1	1	1	58,257.23	0
9,167	15,612,103	Wang	627	Germany	Female	35	2	137,852.96	1	1	1	172,269.21	1
9,168	15,645,353	Chubb	607	France	Male	26	1	0	1	1	0	29,818.2	0
9,169	15,650,018	Chen	681	France	Female	43	8	154,100.3	1	0	0	114,659.81	0
9,170	15,659,002	Mazzanti	766	France	Female	45	6	0	2	0	0	147,184.74	0
9,171	15,616,028	T'ao	694	France	Male	30	2	0	3	0	1	15,039.41	0
9,172	15,660,475	Ndubueze	411	France	Female	54	9	0	1	0	1	76,621.49	0
9,173	15,652,615	Ferri	742	France	Male	39	8	140,004.96	1	1	1	92,985.78	0
9,174	15,653,572	Thornton	673	Spain	Male	43	8	127,132.96	1	0	1	6,009.27	1
9,175	15,628,059	DeRose	529	France	Male	61	1	0	2	1	1	191,370.97	0
9,176	15,703,413	Montes	519	France	Female	38	7	125,328.56	1	1	0	188,225.67	0
9,177	15,610,433	Kwemto	573	France	Male	35	9	0	2	1	0	11,743.89	0
9,178	15,770,548	Lucchese	453	Germany	Female	28	3	139,986.65	1	1	0	136,846.75	0
9,179	15,645,637	Huggins	798	Germany	Female	39	6	119,787.76	1	1	1	164,248.33	0
9,180	15,590,888	Wade	693	Spain	Female	34	10	107,556.06	2	0	0	154,631.35	0
9,181	15,568,326	Kenenna	637	France	Female	44	2	0	2	1	0	149,665.65	0
9,182	15,655,368	Wheeler	672	France	Male	47	1	0	1	0	0	91,574.92	0
9,183	15,665,579	Cartwright	597	France	Female	28	0	142,705.95	1	1	0	127,233.39	0
9,184	15,676,091	Iloerika	543	France	Male	42	7	0	1	1	1	56,650.47	0
9,185	15,716,984	Palermo	695	Spain	Female	56	4	0	2	1	0	84,644.76	0
9,186	15,715,078	Nkemakolam	584	France	Male	35	6	161,613.94	2	1	1	148,238.16	0
9,187	15,569,452	Butler	652	Germany	Female	58	3	116,353.2	2	0	1	193,502.9	0
9,188	15,628,863	Calabresi	601	France	Male	38	4	60,013.81	1	1	1	38,020.05	0
9,189	15,778,192	Nkemdilim	628	Spain	Male	28	4	0	2	1	1	176,750.81	0
9,190	15,793,723	Ch'iu	607	Germany	Male	32	9	144,272.07	2	1	0	176,580.63	0
9,191	15,798,943	Alexander	646	France	Female	46	8	0	2	1	0	133,059.15	0
9,192	15,764,708	Chiabuotu	572	France	Male	30	6	117,696.67	1	1	0	100,843.82	0
9,193	15,791,040	Vasilyeva	801	Spain	Male	58	1	79,954.61	2	1	1	30,484.19	0
9,194	15,631,512	Schneider	597	France	Female	26	8	149,989.39	1	1	0	42,330.58	0
9,195	15,640,106	Mason	613	France	Male	40	7	124,339.9	1	0	0	193,309.58	0
9,196	15,710,315	Chukwukadibia	529	Germany	Male	29	4	135,759.4	1	0	0	112,813.79	1
9,197	15,771,535	Tsui	794	Spain	Female	37	9	0	2	1	0	68,008.85	0
9,198	15,611,947	Banks	557	France	Male	34	3	83,074	1	1	0	132,673.22	0
9,199	15,670,266	Shih	499	France	Female	28	4	141,792.61	1	1	1	22,001.91	0
9,200	15,609,083	Tretiakova	544	France	Female	26	6	0	1	1	0	100,200.4	1

Subsets and Splits

No community queries yet

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