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
9,501	15,645,600	Obidimkpa	739	Spain	Female	27	8	98,926.4	1	1	1	106,969.98	0
9,502	15,634,146	Hou	835	Germany	Male	18	2	142,872.36	1	1	1	117,632.63	0
9,503	15,686,743	Moody	790	Spain	Male	29	3	46,057.96	2	1	1	189,777.66	0
9,504	15,698,792	Keldie	671	France	Female	48	6	119,769.77	1	0	1	66,032.65	0
9,505	15,591,724	Liu	560	France	Female	44	5	143,244.97	1	1	0	98,661.27	0
9,506	15,571,281	Ts'ao	651	France	Male	28	10	79,562.98	1	1	1	74,687.37	0
9,507	15,661,380	Walker	682	France	Male	69	6	0	2	0	1	149,604.18	0
9,508	15,728,885	Defalco	808	France	Male	41	0	0	1	1	1	79,888.78	0
9,509	15,618,950	Lo Duca	644	Spain	Male	26	8	96,659.64	2	1	1	138,775.69	0
9,510	15,609,804	Hyde	688	France	Male	29	1	0	2	1	0	154,695.57	0
9,511	15,735,849	Kanayochukwu	617	France	Female	26	2	165,947.99	2	0	1	168,834.38	0
9,512	15,652,948	Yen	738	France	Male	33	4	92,676.3	1	1	0	105,817.63	0
9,513	15,618,155	Ts'ui	663	France	Male	45	5	83,195.12	1	1	1	48,682.1	0
9,514	15,566,378	Tillman	515	France	Male	48	5	129,387.94	1	0	1	147,955.91	1
9,515	15,565,879	Riley	845	France	Female	28	9	0	2	1	1	56,185.98	0
9,516	15,792,922	Tu	639	Spain	Male	38	9	130,233.14	1	1	1	81,861.1	0
9,517	15,770,567	Ruiz	557	France	Female	32	3	123,502.53	1	1	1	69,826.8	0
9,518	15,738,042	Goliwe	543	Germany	Male	37	8	140,894.06	2	1	1	118,059.19	0
9,519	15,714,920	Balashov	585	Germany	Male	44	7	163,867.86	1	1	1	112,333.22	0
9,520	15,782,121	Leonard	610	France	Female	27	2	0	2	1	0	14,546.76	0
9,521	15,673,180	Onyekaozulu	727	Germany	Female	18	2	93,816.7	2	1	0	126,172.11	0
9,522	15,660,636	Carpenter	540	Spain	Female	40	8	0	2	1	0	3,560	0
9,523	15,664,504	Beede	418	France	Male	35	7	0	2	1	1	88,878.15	0
9,524	15,790,322	Beneventi	660	France	Female	32	0	114,668.89	1	1	0	84,605	0
9,525	15,739,847	Sadlier	850	Germany	Male	38	5	146,756.68	1	1	0	78,268.61	0
9,526	15,699,415	Lewis	618	France	Female	46	6	150,213.71	1	1	0	120,668.46	1
9,527	15,665,521	Chiazagomekpele	642	Germany	Male	18	5	111,183.53	2	0	1	10,063.75	0
9,528	15,682,868	Elliott	850	France	Female	40	9	99,816.46	1	1	1	163,989.66	1
9,529	15,584,462	Liang	739	France	Male	34	9	0	1	1	0	60,584.33	0
9,530	15,661,708	She	508	France	Female	41	5	0	2	1	1	94,170.84	0
9,531	15,584,452	Bozeman	667	France	Male	41	6	0	2	0	0	167,181.77	0
9,532	15,717,010	Yu	741	France	Female	60	5	0	1	1	1	38,914.51	0
9,533	15,643,828	Teng	592	France	Male	29	7	0	2	1	1	91,196.67	0
9,534	15,733,361	Davide	651	Germany	Female	45	6	86,714.06	1	1	0	85,869.89	1
9,535	15,795,488	Beneventi	773	Spain	Male	52	2	0	2	1	0	57,337.79	0
9,536	15,581,551	Yobachukwu	850	Spain	Male	41	8	132,838.07	1	1	1	175,347.28	0
9,537	15,632,051	Douglas	550	Germany	Female	42	10	128,707.31	1	1	0	63,092.65	1
9,538	15,780,409	Egobudike	783	France	Male	40	6	0	2	1	0	109,742.55	0
9,539	15,572,767	Shelby	777	France	Male	29	2	0	2	1	0	124,489.88	0
9,540	15,590,337	Golubov	659	France	Male	29	6	123,192.12	1	1	1	56,971.41	1
9,541	15,634,551	Williamson	727	Germany	Male	46	3	115,248.11	4	1	0	130,752.01	1
9,542	15,669,290	Fan	603	France	Male	38	8	59,360.77	1	1	1	191,457.06	0
9,543	15,621,140	Nwebube	644	Spain	Male	37	9	0	2	1	1	96,442.86	0
9,544	15,613,518	Bellucci	647	France	Female	35	6	112,668.7	1	0	1	122,584.29	0
9,545	15,728,043	Udinese	648	Germany	Female	37	7	138,503.51	2	1	0	57,215.85	0
9,546	15,570,073	Marian	721	Spain	Male	57	1	0	1	1	1	195,940.96	0
9,547	15,777,033	Chizoba	524	France	Male	29	7	0	2	1	1	105,448.74	0
9,548	15,682,454	McFarland	626	France	Female	34	3	0	2	1	1	37,870.29	0
9,549	15,758,513	McDonald	569	France	Male	43	7	0	2	1	0	52,534.81	0
9,550	15,772,604	Chiemezie	578	Spain	Male	36	1	157,267.95	2	1	0	141,533.19	0
9,551	15,721,715	Fane	769	France	Female	40	9	133,871.05	1	1	1	50,568.02	0
9,552	15,688,563	Marchesi	694	Germany	Male	31	4	141,989.27	2	1	0	26,116.82	0
9,553	15,772,009	Scott	664	France	Female	41	5	0	1	1	1	152,054.33	0
9,554	15,809,585	H?	646	France	Male	38	7	0	2	1	0	1,528.4	0
9,555	15,593,778	Craig	779	France	Female	29	3	46,388.16	3	1	0	127,939.26	1
9,556	15,655,360	Chikelu	782	Germany	Female	72	5	148,666.99	1	1	0	2,605.65	1
9,557	15,780,909	Caffyn	769	Germany	Male	34	7	115,101.5	1	0	0	57,841.89	1
9,558	15,757,310	Otitodilichukwu	655	Germany	Male	67	6	148,363.38	1	1	1	186,995.17	0
9,559	15,801,411	Green	623	Spain	Male	46	4	0	1	1	0	5,549.11	1
9,560	15,761,706	Y?an	705	Spain	Female	39	8	144,102.32	1	1	1	11,682.36	0
9,561	15,658,409	Mao	686	France	Male	41	5	128,876.71	3	1	1	106,939.34	1
9,562	15,810,010	Dahlenburg	678	Germany	Male	36	6	118,448.15	2	1	0	53,172.02	0
9,563	15,627,027	Shih	738	France	Male	39	5	0	2	1	1	114,388.98	0
9,564	15,624,374	Maclean	703	France	Male	28	9	0	2	0	1	2,151.17	0
9,565	15,720,083	Fiorentino	554	Spain	Male	42	1	0	2	0	1	183,492.9	0
9,566	15,752,294	Long	582	France	Female	38	9	135,979.01	4	1	1	76,582.95	1
9,567	15,743,193	Olson	644	France	Male	37	6	117,271.8	2	1	0	104,217.96	1
9,568	15,696,733	McKenzie	724	France	Male	29	4	0	1	1	0	8,982.75	0
9,569	15,677,522	Rossi	593	France	Male	33	1	0	2	0	0	9,984.4	0
9,570	15,643,523	Power	710	Spain	Female	30	10	0	2	1	0	19,500.1	0
9,571	15,624,936	Yen	631	France	Male	35	8	129,205.49	1	1	1	79,146.36	0
9,572	15,716,085	Norris	739	Spain	Female	41	8	0	1	1	0	191,694.77	1
9,573	15,641,688	Collier	644	Spain	Male	18	7	0	1	0	1	59,645.24	1
9,574	15,796,834	Rivers	652	Germany	Male	35	7	104,015.54	2	1	1	55,207.88	0
9,575	15,720,123	Hudson	554	Spain	Male	37	3	0	2	1	0	166,177.3	0
9,576	15,604,732	Milani	483	France	Female	30	9	0	2	0	0	136,356.97	0
9,577	15,723,484	Hunt	669	Germany	Female	42	1	103,873.39	1	1	0	148,611.52	0
9,578	15,807,120	Oluchukwu	841	Germany	Female	52	3	112,383.03	1	1	0	85,516.37	1
9,579	15,810,891	Lorenzo	662	France	Male	34	2	117,731.79	2	0	1	55,120.79	0
9,580	15,640,407	Chidiegwu	821	Germany	Male	45	0	135,827.33	2	1	1	131,778.58	0
9,581	15,778,838	Warren	783	France	Male	38	9	114,135.17	1	1	0	153,269.98	0
9,582	15,709,256	Glover	850	France	Female	28	9	0	2	1	1	164,864.67	0
9,583	15,742,285	Andersen	559	France	Male	62	6	118,756.62	1	1	1	20,367.68	0
9,584	15,729,019	Arcuri	602	Spain	Male	34	8	98,382.72	1	1	0	39,542	0
9,585	15,608,588	Mackinlay	563	Germany	Male	41	2	100,520.92	1	1	1	19,412.8	1
9,586	15,610,557	McCarthy	695	Spain	Female	35	7	79,858.13	2	1	1	127,977.66	0
9,587	15,786,418	Chiu	546	France	Female	20	6	0	1	0	1	20,508.85	0
9,588	15,653,050	Norriss	719	Germany	Female	76	10	95,052.29	1	1	0	176,244.87	0
9,589	15,744,914	Moore	539	Germany	Male	42	1	177,728.55	1	1	0	105,013.63	0
9,590	15,669,611	Mott	632	France	Male	71	3	83,116.68	1	1	1	27,597.76	0
9,591	15,594,786	Ts'ai	772	Germany	Male	34	7	111,565.91	1	1	1	121,073.23	0
9,592	15,649,211	Fokina	708	Spain	Male	40	8	83,015.71	1	1	0	101,089.76	0
9,593	15,766,066	Nikitina	668	Germany	Female	28	1	124,511.01	1	0	0	114,258.18	0
9,594	15,772,216	Henry	738	France	Female	67	1	130,652.52	1	0	1	22,762.23	0
9,595	15,619,898	Chiefo	785	France	Male	55	5	0	2	1	1	7,008.65	0
9,596	15,724,543	Mao	597	France	Male	61	5	0	2	1	1	81,299.17	0
9,597	15,755,084	Bezrukova	531	France	Male	37	7	121,854.45	1	1	0	147,521.35	0
9,598	15,730,441	Dodd	509	France	Male	26	10	0	2	1	1	6,177.83	0
9,599	15,666,767	Lori	508	France	Male	35	1	86,893.28	1	0	0	59,374.82	0
9,600	15,690,456	Yudina	749	Germany	Female	32	7	79,523.13	1	0	1	157,648.12	0

Subsets and Splits

No community queries yet

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