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
9,001	15,723,217	Cremonesi	616	France	Male	37	9	0	1	1	0	111,312.96	0
9,002	15,733,111	Yeh	688	Spain	Male	32	6	124,179.3	1	1	1	138,759.15	0
9,003	15,610,727	Ch'in	605	France	Male	36	7	128,829.25	1	1	0	190,588.59	0
9,004	15,792,720	Martinez	676	France	Male	33	6	171,490.78	1	0	0	79,099.64	0
9,005	15,723,153	Wearing	708	Spain	Male	33	3	0	2	1	0	138,613.21	0
9,006	15,802,823	Maclean	745	Spain	Female	38	7	0	2	1	1	194,230.82	0
9,007	15,756,118	T'ao	661	Spain	Male	20	8	0	1	1	0	110,252.53	0
9,008	15,684,934	Rose	726	France	Male	31	9	0	2	1	1	106,117.3	0
9,009	15,776,936	Whitworth	475	France	Male	40	7	160,818.08	1	0	1	169,642.13	1
9,010	15,729,087	Suttor	751	Germany	Male	54	9	156,367.6	2	0	1	116,179.92	0
9,011	15,786,463	Hsing	645	Germany	Female	59	8	121,669.93	2	0	0	91.75	1
9,012	15,717,498	Boni	775	France	Male	42	6	133,970.22	2	0	1	187,839.9	0
9,013	15,718,406	Marshall	540	France	Male	41	3	0	2	1	0	121,098.65	0
9,014	15,799,468	Catchpole	591	France	Female	34	3	96,127.27	1	0	0	30,972.06	0
9,015	15,626,383	Tang	596	Spain	Male	60	7	121,907.97	1	0	1	30,314.04	0
9,016	15,597,385	Siddons	573	Spain	Male	41	5	0	2	0	1	14,479.29	0
9,017	15,570,271	Wan	577	Spain	Male	31	6	0	1	1	1	196,395.25	0
9,018	15,690,330	Efimov	830	Germany	Female	40	8	77,701.64	1	0	1	19,512.38	0
9,019	15,680,611	Rose	663	France	Male	67	9	0	3	1	1	72,318.77	0
9,020	15,810,227	Fanucci	421	France	Male	34	2	0	2	1	1	96,615.23	0
9,021	15,807,194	Iweobiegbulam	718	Spain	Male	34	5	113,922.44	2	1	0	30,772.22	0
9,022	15,712,199	Ijendu	655	Germany	Female	61	2	183,997.7	2	1	1	161,217.18	0
9,023	15,694,995	O'Sullivan	712	France	Male	23	2	0	2	0	1	66,795.78	0
9,024	15,723,400	Hutchinson	663	France	Male	28	4	0	2	1	1	123,969.64	0
9,025	15,654,772	Kwemto	640	France	Female	47	6	89,799.46	2	0	1	13,783.77	1
9,026	15,574,743	Chiu	577	Spain	Male	29	2	0	1	1	1	168,924.41	0
9,027	15,807,593	Berry	546	Spain	Female	36	7	85,660.96	1	0	0	134,778.01	0
9,028	15,686,718	Hung	802	Germany	Male	37	9	115,569.21	1	0	1	119,782.89	0
9,029	15,695,299	Mordvinova	590	France	Female	45	2	81,828.22	1	1	0	52,167.97	0
9,030	15,722,701	Bruno	594	Germany	Male	18	1	132,694.73	1	1	0	167,689.56	0
9,031	15,799,635	Arbour	577	Spain	Male	51	2	108,867	1	0	0	140,800.66	1
9,032	15,742,323	Barese	541	France	Male	39	7	0	2	1	0	19,823.02	0
9,033	15,658,435	Hingston	781	France	Female	27	5	0	2	0	0	72,969.9	0
9,034	15,586,029	Davis	806	Germany	Male	34	2	96,152.68	2	1	0	143,711.02	0
9,035	15,772,337	Lawrence	723	Germany	Female	49	0	153,855.52	1	1	1	180,862.26	1
9,036	15,807,555	Chung	535	France	Male	45	2	0	2	1	0	125,658.28	0
9,037	15,603,378	Padovano	768	France	Female	36	3	141,334.95	1	0	1	125,870.5	0
9,038	15,792,862	Blinova	653	Germany	Male	41	1	104,584.11	1	1	0	15,126.32	1
9,039	15,657,349	Carter	803	Germany	Female	50	8	98,173.02	1	0	0	22,457.25	1
9,040	15,777,614	Webb	545	Spain	Female	44	1	0	2	1	1	82,614.89	0
9,041	15,653,952	T'an	581	Germany	Female	38	3	135,157.05	1	1	1	32,919.42	0
9,042	15,724,336	Yates	513	Germany	Female	49	5	171,601.27	1	1	0	126,223.84	0
9,043	15,689,594	Su	731	France	Male	29	5	179,539.2	1	0	0	112,010.02	0
9,044	15,801,920	Christian	727	Germany	Male	39	5	80,615.46	2	0	0	180,962.32	0
9,045	15,653,347	Chiu	560	Spain	Male	47	1	0	1	0	0	128,882.66	1
9,046	15,749,951	Sacco	766	Germany	Male	27	5	126,285.73	1	1	0	177,614.17	1
9,047	15,648,178	Lettiere	630	Germany	Female	23	4	137,964.51	1	0	1	174,570.55	0
9,048	15,738,662	Daluchi	652	Germany	Male	41	9	159,434.03	1	1	0	178,373.93	0
9,049	15,640,855	T'ien	729	Germany	Male	40	5	113,574.61	2	1	0	103,396.08	0
9,050	15,584,288	Hung	629	France	Female	33	6	0	2	1	1	59,129.72	0
9,051	15,760,988	Liu	667	Germany	Male	33	9	124,573.33	2	0	0	683.37	0
9,052	15,569,624	Feng	671	Germany	Female	31	6	105,864.6	2	1	0	145,567.34	0
9,053	15,597,949	Gilbert	768	Germany	Female	47	5	104,552.61	1	1	0	48,137.08	1
9,054	15,604,551	Robb	732	France	Female	35	3	0	2	1	0	90,876.95	0
9,055	15,617,476	Manfrin	546	France	Female	30	5	0	2	0	1	198,543.09	0
9,056	15,645,323	Chinwenma	630	France	Male	55	2	0	1	1	1	106,202.07	1
9,057	15,793,311	Smith	765	Germany	Female	46	8	119,492.88	2	0	1	166,896.01	1
9,058	15,764,153	Rowe	704	France	Female	33	0	130,499.09	2	1	1	74,804.36	0
9,059	15,802,560	Moran	470	Spain	Female	48	6	140,576.11	1	1	1	116,971.05	0
9,060	15,728,608	Walker	688	Germany	Female	34	9	91,025.58	2	0	1	163,783	0
9,061	15,770,474	Myers	685	France	Female	33	1	0	3	0	1	70,221.13	1
9,062	15,724,444	Wall	567	France	Female	38	1	125,877.65	2	1	1	107,841.77	0
9,063	15,753,110	McKay	720	Spain	Male	64	3	45,752.78	2	1	0	79,623.28	1
9,064	15,711,521	Egobudike	609	France	Male	39	3	121,778.71	1	1	1	138,399.67	0
9,065	15,632,816	Williams	521	Germany	Female	49	2	127,948.57	1	1	1	182,765.14	0
9,066	15,693,637	Ochoa	556	France	Female	30	7	0	2	1	1	186,648.19	0
9,067	15,725,509	Otutodilinna	662	Germany	Male	30	5	115,286.68	2	1	1	149,587.92	0
9,068	15,684,645	Ajuluchukwu	704	Germany	Male	41	9	62,078.21	2	1	0	129,050.67	0
9,069	15,692,235	Bellucci	750	France	Female	38	1	0	2	1	0	47,764.99	0
9,070	15,777,459	Gordon	619	Spain	Female	32	4	175,406.13	2	1	1	172,792.43	1
9,071	15,656,937	Johnston	468	Spain	Male	26	1	131,643.25	1	1	0	64,436.16	0
9,072	15,610,643	De Luca	435	Germany	Male	44	3	151,739.65	1	1	0	167,461.5	0
9,073	15,777,315	Hill	529	France	Male	43	6	93,616.35	2	0	0	98,348.66	0
9,074	15,611,058	Eluemuno	702	Germany	Female	60	5	138,597.54	2	1	1	41,536.59	1
9,075	15,630,413	Howarth	608	France	Female	41	5	0	2	1	1	72,462.25	0
9,076	15,635,942	Thomson	576	France	Male	40	9	0	2	1	0	112,465.19	1
9,077	15,648,858	King	666	France	Female	27	1	85,225.21	1	0	1	64,511.44	0
9,078	15,810,732	Grant	730	France	Female	36	8	148,749.29	2	1	0	91,830.75	0
9,079	15,705,448	Gilbert	647	Germany	Male	52	7	130,013.12	1	1	1	190,806.36	1
9,080	15,730,488	Richmond	516	Spain	Female	27	1	0	1	0	1	112,311.15	0
9,081	15,620,443	Fiorentino	711	France	Female	81	6	0	2	1	1	72,276.24	0
9,082	15,741,078	Greece	736	France	Male	54	7	111,729.47	2	0	1	84,920.49	0
9,083	15,753,161	Dickson	768	France	Female	36	5	180,169.44	2	1	0	17,348.56	0
9,084	15,711,396	Henderson	427	Spain	Male	40	8	0	2	1	1	82,870.75	0
9,085	15,593,499	Stevens	686	Spain	Female	47	6	0	1	1	0	32,080.69	1
9,086	15,579,189	Mitchell	690	France	Female	42	5	0	2	0	1	120,512.08	0
9,087	15,743,545	Nworie	647	Spain	Female	29	2	0	2	1	0	179,032.68	0
9,088	15,791,316	Boni	714	France	Male	35	3	0	2	1	1	95,623.28	0
9,089	15,608,246	Wentcher	736	Germany	Female	36	8	103,914.17	1	1	1	110,035.88	1
9,090	15,676,526	Bentley	608	France	Female	34	4	88,772.87	1	1	1	168,822.01	0
9,091	15,813,911	Hayes-Williams	809	France	Female	39	5	0	1	1	0	77,705.75	0
9,092	15,630,195	Johnstone	745	France	Female	40	6	131,184.67	1	1	1	49,815.62	0
9,093	15,736,250	Johnstone	781	France	Male	38	2	117,810.79	1	0	1	65,632.33	1
9,094	15,671,334	Nixon	527	France	Male	31	4	0	1	1	0	169,361.89	0
9,095	15,574,169	Trevisano	595	Germany	Female	32	0	92,466.21	1	1	0	4,721.3	0
9,096	15,718,839	Tsui	850	Germany	Female	38	2	102,741.15	2	0	1	23,974.85	0
9,097	15,762,331	Moss	569	France	Male	37	9	178,755.84	1	1	0	199,929.17	0
9,098	15,606,901	Graham	728	France	Male	43	7	0	2	1	0	40,023.7	0
9,099	15,713,559	Onyemauchechukwu	473	Germany	Female	32	5	146,602.25	2	1	1	72,946.95	0
9,100	15,768,881	Saunders	738	France	Male	29	2	0	2	1	1	170,421.13	0

Subsets and Splits

No community queries yet

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