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
6,101	15,720,463	Ho	796	France	Male	30	2	137,262.71	2	1	0	62,905.29	0
6,102	15,588,695	Su	833	Spain	Male	32	6	0	1	1	1	44,323.22	1
6,103	15,665,802	Li Fonti	642	Spain	Female	36	6	0	2	1	1	97,938.59	0
6,104	15,571,144	Ives	655	France	Male	28	10	0	2	0	1	126,565.21	0
6,105	15,750,731	Trevisani	736	Germany	Male	50	9	116,309.01	1	1	0	185,360.4	1
6,106	15,605,134	Bond	617	France	Female	34	0	131,244.65	2	1	0	183,229.02	0
6,107	15,626,044	Lettiere	762	Germany	Male	28	3	125,155.83	2	1	1	106,024.02	0
6,108	15,737,910	Houghton	703	Germany	Male	35	5	140,691.08	2	1	0	167,810.26	0
6,109	15,761,076	Lei	507	France	Male	41	3	58,820.32	2	1	1	138,536.09	0
6,110	15,710,105	Stirling	581	Germany	Female	26	3	105,099.45	1	1	1	184,520	1
6,111	15,577,402	Grant	593	France	Male	31	9	0	2	0	1	20,492.16	0
6,112	15,803,337	Baresi	648	France	Male	23	9	168,372.52	1	1	0	134,676.72	0
6,113	15,654,372	Pearce	462	Germany	Male	34	1	94,682.56	2	1	0	138,478.2	0
6,114	15,585,867	Rutledge	596	Spain	Male	36	2	0	2	0	1	125,557.95	0
6,115	15,662,488	Udegbunam	627	France	Female	44	5	0	2	1	0	82,969.61	1
6,116	15,604,813	Zaytseva	494	France	Male	40	7	0	2	0	1	158,071.69	0
6,117	15,611,644	Onyemauchechukwu	627	France	Male	73	0	146,329.73	1	0	1	43,615.67	0
6,118	15,674,928	Mullah	850	Spain	Male	37	2	0	2	1	0	119,969.99	0
6,119	15,656,100	Candler	632	France	Female	49	5	167,962.7	1	0	0	140,201.21	0
6,120	15,764,293	Konovalova	490	France	Male	33	1	0	2	1	1	80,792.83	0
6,121	15,636,423	Lei	715	France	Male	40	7	0	1	1	1	141,359.11	0
6,122	15,607,629	Hollis	679	France	Male	48	8	0	2	1	0	23,344.94	0
6,123	15,577,313	Lionel	619	France	Male	44	3	116,967.68	1	1	0	5,075.17	1
6,124	15,714,493	Francis	465	Spain	Female	33	6	0	2	1	1	95,500.98	0
6,125	15,643,359	Carter	736	Spain	Male	32	7	0	1	0	1	79,082.62	0
6,126	15,687,913	Mai	501	Germany	Female	34	7	93,244.42	1	0	1	199,805.63	0
6,127	15,790,935	Johnson	535	France	Female	29	5	0	2	0	1	52,709.55	0
6,128	15,708,693	Sherman	759	France	Female	33	2	0	2	1	0	56,583.88	0
6,129	15,672,016	Sabbatini	819	France	Male	35	1	0	2	0	1	3,385.04	0
6,130	15,727,605	Shih	533	Germany	Male	43	4	80,442.06	2	0	1	12,537.42	0
6,131	15,651,144	Yao	632	Germany	Female	35	2	150,561.03	2	0	0	64,722.61	0
6,132	15,749,401	Ko	686	France	Male	60	9	0	3	1	1	75,246.21	1
6,133	15,691,874	Kazakova	687	France	Female	34	9	125,474.44	1	1	0	198,929.84	0
6,134	15,620,735	Chiganu	667	Germany	Female	33	4	127,076.68	2	1	0	69,011.66	0
6,135	15,769,781	Nucci	699	Spain	Female	25	8	0	2	1	1	52,404.47	0
6,136	15,624,611	Marsden	497	Spain	Male	37	8	128,650.11	2	1	1	163,641.53	0
6,137	15,773,071	Serena	780	Spain	Female	33	6	145,580.61	1	1	1	154,598.56	0
6,138	15,720,371	McLean	652	France	Female	51	3	0	1	1	0	173,989.47	1
6,139	15,717,984	Longo	477	France	Male	47	9	144,900.58	1	1	0	61,315.37	1
6,140	15,806,407	Wilson	652	France	Female	37	4	0	2	1	0	143,393.24	0
6,141	15,785,042	Hsiung	488	France	Female	31	8	97,588.6	1	0	0	124,210.53	0
6,142	15,809,302	Wright	572	France	Male	24	1	0	2	1	1	151,460.84	0
6,143	15,677,550	Folliero	755	France	Female	38	1	0	2	1	0	20,734.81	0
6,144	15,654,096	Johnston	779	Germany	Female	24	10	122,200.31	2	1	0	43,705.56	0
6,145	15,617,320	Palermo	693	Spain	Female	46	3	151,709.33	1	1	0	180,736.24	0
6,146	15,653,065	Nwabugwu	530	Spain	Female	22	7	0	2	1	0	104,170.48	0
6,147	15,649,112	Endrizzi	738	Spain	Female	33	3	122,134.4	2	0	1	27,867.59	0
6,148	15,690,526	Tuan	690	Germany	Male	31	2	137,260.45	2	1	0	55,387.28	0
6,149	15,806,945	Udobata	611	France	Female	30	9	88,594.14	1	1	0	196,332.45	0
6,150	15,670,066	Ibezimako	643	Spain	Male	34	6	0	2	1	1	116,046.22	0
6,151	15,625,761	Maclean	632	Germany	Male	41	8	127,205.32	4	1	0	93,874.87	1
6,152	15,761,525	Shaw	727	Spain	Female	31	10	96,997.09	2	0	0	76,614.04	0
6,153	15,735,080	Cummins	508	France	Female	64	2	0	1	1	1	6,076.62	0
6,154	15,619,537	Lavrentiev	550	France	Male	31	5	142,200.19	2	1	1	122,221.71	0
6,155	15,598,162	Saunders	754	Germany	Female	39	3	160,761.41	1	1	1	24,156.03	0
6,156	15,694,300	Fiorentino	759	France	Male	26	4	0	2	1	0	135,394.62	0
6,157	15,637,235	Knight	794	Spain	Male	33	8	0	2	0	0	91,340.02	0
6,158	15,612,444	Manfrin	549	France	Male	29	3	0	2	1	0	146,090.38	0
6,159	15,626,457	Zetticci	671	France	Male	31	0	116,234.61	1	1	0	172,096.08	0
6,160	15,627,995	Angelo	756	Germany	Female	26	5	155,143.52	1	0	1	135,034.57	1
6,161	15,706,128	Zhdanov	632	France	Female	21	1	0	2	1	0	84,008.66	0
6,162	15,666,430	Peck	579	France	Male	38	8	0	2	0	0	91,763.67	0
6,163	15,627,385	Uwaezuoke	748	France	Male	34	5	84,009.47	1	1	1	137,001.1	0
6,164	15,581,323	White	488	Germany	Female	28	7	139,246.22	2	1	0	106,799.49	0
6,165	15,608,109	Greco	710	Germany	Male	58	7	170,113	2	0	1	10,494.64	0
6,166	15,801,942	Chu	619	Spain	Female	41	8	0	3	1	1	79,866.73	1
6,167	15,567,431	Kodilinyechukwu	773	France	Male	64	2	145,578.28	1	0	1	186,172.85	0
6,168	15,810,167	Scott	657	Spain	Male	75	7	126,273.95	1	0	1	91,673.6	0
6,169	15,644,501	Enyinnaya	579	France	Female	26	10	162,482.76	1	1	1	18,458.2	0
6,170	15,785,290	Hao	542	France	Male	29	9	0	1	1	0	8,342.35	0
6,171	15,611,157	McElhone	709	France	Female	32	2	87,814.89	1	1	0	138,578.37	0
6,172	15,673,837	Ko	617	Spain	Male	61	3	113,858.95	1	1	1	38,129.22	0
6,173	15,656,822	Day	568	Germany	Male	43	5	87,612.64	4	1	1	107,155.4	1
6,174	15,580,560	Harris	769	France	Female	73	1	0	1	1	1	29,792.11	0
6,175	15,760,641	Gerald	608	Germany	Male	26	1	106,648.98	1	0	1	7,063.6	0
6,176	15,587,584	Nebeuwa	503	Spain	Male	31	4	0	2	1	1	21,645.06	0
6,177	15,604,146	Kaodilinakachukwu	608	Germany	Female	38	8	103,653.51	2	1	1	137,079.86	0
6,178	15,813,974	Maruff	731	Germany	Male	37	3	116,880.53	1	0	0	172,718.35	1
6,179	15,746,986	Howe	850	Germany	Female	40	4	97,990.49	2	0	0	106,691.02	0
6,180	15,759,741	Knepper	591	Germany	Female	34	4	150,635.3	1	1	1	72,274.84	0
6,181	15,734,892	Fennell	579	Spain	Male	37	4	0	2	1	1	32,246.63	0
6,182	15,797,194	T'ao	570	France	Male	39	10	129,674.89	2	1	0	80,552.36	0
6,183	15,723,786	Morris	709	France	Female	37	9	0	2	1	0	16,733.59	0
6,184	15,642,726	Holmes	611	France	Male	53	3	83,568.26	1	0	0	1,235.49	0
6,185	15,664,339	Yu	775	Spain	Male	48	4	178,144.91	2	0	0	50,168.41	1
6,186	15,754,526	Walker	699	Germany	Male	36	6	147,137.74	1	1	1	33,687.9	0
6,187	15,703,037	Edwards	618	France	Male	37	5	0	1	0	1	178,705.45	1
6,188	15,751,412	Harvey	704	France	Male	36	3	114,370.41	1	0	1	66,810.48	0
6,189	15,609,558	McDonald	835	Germany	Female	47	5	108,289.28	2	1	1	45,859.55	1
6,190	15,572,408	Chambers	714	Germany	Male	39	3	149,887.49	2	1	0	63,846.36	0
6,191	15,613,923	Reed	581	Spain	Female	43	4	170,172.9	1	0	1	100,236.02	0
6,192	15,747,000	Shih	592	France	Male	27	3	0	2	1	1	19,645.65	0
6,193	15,731,781	Onyemachukwu	551	France	Male	43	7	0	2	1	0	178,393.68	0
6,194	15,727,198	Teng	689	Germany	Female	28	2	64,808.32	2	0	0	78,591.15	0
6,195	15,794,273	Hand	604	France	Female	56	0	62,732.65	1	0	1	124,954.56	0
6,196	15,804,950	Onyemauchechukwu	514	France	Female	41	7	0	2	1	1	3,756.65	0
6,197	15,576,304	Bailey	698	France	Male	29	5	95,167.55	1	1	1	152,723.23	0
6,198	15,645,200	Chiang	581	Germany	Female	54	2	152,508.99	1	1	0	187,597.98	1
6,199	15,779,627	Maclean	573	Germany	Male	31	0	134,644.19	1	1	1	70,381.49	0
6,200	15,750,755	Yobachi	449	Spain	Female	33	8	0	2	0	0	156,792.89	0

Subsets and Splits

No community queries yet

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