Split (1)

train · 10k rows

ID int64	Age int64	Gender string	Country string	Coffee_Intake float64	Caffeine_mg float64	Sleep_Hours float64	Sleep_Quality string	BMI float64	Heart_Rate int64	Stress_Level string	Physical_Activity_Hours float64	Health_Issues string	Occupation string	Smoking int64	Alcohol_Consumption int64
9,901	46	Male	China	2.1	199.9	4.7	Poor	20.7	64	High	3	Mild	Office	0	0
9,902	39	Male	Mexico	3.3	309.5	5.9	Fair	24	84	Medium	3.7	Mild	Student	0	0
9,903	21	Male	Finland	1.7	158.7	6.8	Good	19.2	70	Low	2.9	null	Service	0	0
9,904	34	Other	UK	2.2	209.5	4.6	Poor	21.3	74	High	14.8	Mild	Other	0	0
9,905	46	Female	Finland	3.4	326.5	6.6	Good	16.8	69	Low	9.7	null	Office	0	0
9,906	19	Female	South Korea	4.8	454.1	6.5	Good	20.3	50	Low	1.3	null	Healthcare	0	0
9,907	42	Male	Spain	4.2	401.9	7.4	Good	20.7	62	Low	7.8	null	Service	0	1
9,908	62	Male	Switzerland	2.7	253	7	Good	30.5	56	Low	1.2	Moderate	Service	0	1
9,909	47	Male	Sweden	3.3	317.3	4.9	Poor	26.5	74	High	5.9	Mild	Student	0	0
9,910	51	Female	Netherlands	2.6	250.3	7	Good	18.6	50	Low	9.6	Mild	Office	0	0
9,911	37	Male	USA	0.2	23.4	7	Good	21.8	72	Low	0.7	null	Student	0	0
9,912	46	Female	Brazil	4.4	417.9	6.8	Good	25.3	61	Low	0.7	null	Healthcare	0	1
9,913	26	Female	Belgium	4.5	425	7.6	Good	20.9	75	Low	3.8	null	Office	1	0
9,914	44	Female	France	0	0	6.2	Good	21.3	70	Low	9.9	null	Student	1	1
9,915	42	Male	China	1.9	183	6.4	Good	30.5	69	Low	13.9	Mild	Healthcare	0	1
9,916	38	Female	Australia	4.8	456.2	6.3	Good	19.1	83	Low	4.1	null	Healthcare	0	0
9,917	50	Female	Japan	2.8	268.7	6	Good	32.3	81	Low	14.3	Mild	Service	0	0
9,918	28	Female	Sweden	1	95.1	4.5	Poor	19	83	High	8.2	Mild	Office	1	0
9,919	32	Male	Norway	4.3	411.1	7.4	Good	15.6	64	Low	7.5	null	Healthcare	0	0
9,920	36	Male	Belgium	2.7	254	4.1	Poor	30.5	59	High	1.5	Moderate	Student	0	0
9,921	22	Male	Norway	4.4	422.1	6.7	Good	25.2	82	Low	14.3	null	Office	0	0
9,922	37	Female	Sweden	2.6	249.7	5.1	Fair	23.4	64	Medium	11.9	Mild	Healthcare	0	1
9,923	18	Female	UK	0	0	5.8	Fair	25.5	55	Medium	0	Mild	Service	0	0
9,924	47	Other	Finland	5.2	495	7	Good	18.2	60	Low	11.9	null	Other	0	0
9,925	35	Male	Australia	0.8	79.7	8.4	Excellent	21.8	72	Low	8.3	null	Other	0	0
9,926	28	Male	Australia	1.8	175.2	7.1	Good	27.8	68	Low	1.5	null	Other	0	0
9,927	24	Female	China	4.3	408.6	6	Good	21.3	82	Low	10.5	null	Healthcare	0	1
9,928	32	Male	Australia	5.9	562.5	5.9	Fair	21.2	59	Medium	10	Mild	Healthcare	1	0
9,929	43	Female	Netherlands	2.4	228.1	8.2	Excellent	28.6	56	Low	10.2	null	Student	0	0
9,930	41	Female	India	3	288.5	8	Good	23.8	68	Low	13.1	null	Other	1	1
9,931	26	Female	China	0.7	68.5	7.5	Good	25.4	50	Low	11.4	null	Other	0	0
9,932	24	Female	UK	2.1	198.1	8.1	Excellent	18.3	66	Low	13.7	null	Office	0	0
9,933	42	Female	Canada	4.1	393.9	5.8	Fair	24	80	Medium	5.7	Mild	Office	0	0
9,934	26	Other	UK	3	281.4	7.4	Good	29.6	92	Low	8.4	null	Healthcare	0	1
9,935	35	Male	Brazil	5.1	484.7	4.7	Poor	16.8	68	High	14.8	Mild	Healthcare	0	1
9,936	36	Female	Belgium	0.4	38.5	6.3	Good	20.1	65	Low	8.9	null	Service	0	0
9,937	38	Female	Finland	0.3	32.6	6.5	Good	28.9	71	Low	6.3	null	Other	0	0
9,938	45	Female	Spain	1.5	139.9	8.2	Excellent	25.5	77	Low	7	null	Other	0	0
9,939	19	Female	Sweden	1.5	146.8	6.5	Good	20.8	81	Low	11.1	null	Healthcare	0	0
9,940	18	Other	Brazil	3.9	373.8	7.6	Good	23.6	65	Low	5.5	null	Student	0	1
9,941	28	Female	Switzerland	1.9	179	6	Good	22.8	81	Low	0.7	null	Office	1	1
9,942	56	Male	South Korea	0.7	69.7	7.8	Good	15	65	Low	13.7	Mild	Other	1	0
9,943	59	Female	South Korea	3.1	294.1	7.2	Good	24.2	87	Low	7.2	Mild	Student	0	1
9,944	56	Female	South Korea	1.3	128	4.1	Poor	17.8	80	High	7.8	Moderate	Office	0	0
9,945	32	Female	Brazil	0.9	81.7	8.1	Excellent	25.1	62	Low	5.4	null	Service	0	1
9,946	18	Male	Canada	4.1	388.6	5.7	Fair	17.6	73	Medium	13.8	Mild	Healthcare	0	0
9,947	18	Female	Spain	4.4	421.9	4.9	Poor	27.4	67	High	2.8	Mild	Student	1	0
9,948	27	Male	Netherlands	4	377	5.4	Fair	23.6	77	Medium	5.9	Mild	Office	0	0
9,949	32	Female	Italy	1.2	118.6	6.1	Good	19.2	67	Low	5.7	null	Healthcare	0	1
9,950	50	Male	Brazil	1.6	153.5	5.8	Fair	19.3	63	Medium	7.5	Mild	Healthcare	0	0
9,951	45	Female	Norway	3.3	315	5.4	Fair	21.2	76	Medium	14.5	Mild	Other	1	0
9,952	37	Male	Brazil	3.6	343.3	6.2	Good	23.6	75	Low	3	null	Office	1	0
9,953	24	Male	South Korea	2.2	204.8	7.2	Good	22.8	58	Low	9.5	null	Healthcare	0	1
9,954	23	Female	Mexico	4.3	409.2	7.7	Good	25	85	Low	8.4	null	Other	0	1
9,955	38	Male	India	0	0	8.9	Excellent	24.7	79	Low	3.9	null	Healthcare	0	0
9,956	43	Male	Brazil	1.6	155.9	9.4	Excellent	27.7	78	Low	6.2	null	Office	1	1
9,957	39	Male	Belgium	5.8	553.2	6.5	Good	32.4	70	Low	6.3	Mild	Healthcare	1	0
9,958	22	Female	Netherlands	2.5	235.5	6.4	Good	23	60	Low	3.5	null	Service	0	0
9,959	42	Female	France	1.8	169.4	7.6	Good	23.3	82	Low	7.3	null	Service	0	0
9,960	40	Male	China	3.2	305.1	5.1	Fair	25.5	64	Medium	2.8	Mild	Service	1	1
9,961	22	Female	Switzerland	1.1	101.2	6.6	Good	20.9	62	Low	3.1	null	Service	1	0
9,962	25	Male	Germany	0	0	7.5	Good	18.4	71	Low	12.7	null	Student	0	1
9,963	43	Female	India	7	665.4	4.8	Poor	20.8	55	High	14	Mild	Healthcare	0	1
9,964	32	Female	India	1.2	115.1	8	Excellent	23.9	73	Low	5.8	null	Healthcare	0	0
9,965	54	Other	France	2.8	269.2	7.1	Good	24.9	63	Low	0.2	Mild	Healthcare	0	1
9,966	41	Female	UK	2.8	262.3	6.1	Good	32	69	Low	13.4	Mild	Healthcare	0	0
9,967	29	Male	France	3.2	308.1	7	Good	17.5	79	Low	11.9	null	Other	0	1
9,968	34	Male	Germany	1.3	124.4	6.5	Good	25	83	Low	6.2	null	Student	1	0
9,969	35	Female	Switzerland	0	0	4.9	Poor	22.7	81	High	9.3	Mild	Healthcare	0	0
9,970	26	Male	Switzerland	1.5	144.1	8.1	Excellent	28.5	84	Low	13.7	null	Other	0	1
9,971	24	Male	Belgium	2.5	241.9	6.5	Good	19.1	70	Low	14.8	null	Student	0	0
9,972	43	Male	France	2.7	252.1	6.9	Good	26.9	50	Low	7	null	Other	0	1
9,973	45	Male	Switzerland	4.8	460.2	7.1	Good	21.7	70	Low	7	null	Service	0	1
9,974	42	Female	Italy	2.1	197	4.5	Poor	27.6	77	High	13.1	Mild	Service	0	0
9,975	53	Male	Australia	2.8	267.2	6.4	Good	23.7	65	Low	11.2	Mild	Other	0	0
9,976	28	Male	Brazil	1.3	124.6	5.9	Fair	27.2	66	Medium	11.9	Mild	Healthcare	0	1
9,977	55	Female	Belgium	1.6	152.3	8.4	Excellent	25.3	58	Low	9.3	Mild	Student	0	0
9,978	24	Male	Japan	5.5	523	6.1	Good	19.8	79	Low	5.5	null	Office	0	0
9,979	22	Female	Japan	1.4	135.7	6.6	Good	15.7	63	Low	2.9	null	Other	0	1
9,980	18	Male	UK	1.9	183.6	6.2	Good	30	68	Low	14.3	null	Other	0	1
9,981	29	Female	Finland	4.1	392.2	8.3	Excellent	22.8	77	Low	2.3	null	Other	0	0
9,982	28	Male	USA	5.4	509.1	5.3	Fair	29	71	Medium	6.7	Mild	Healthcare	0	0
9,983	41	Male	Norway	3.7	353	5.2	Fair	23.7	87	Medium	7.2	Mild	Other	0	1
9,984	37	Male	Canada	3.7	353.4	5.5	Fair	27.9	68	Medium	13.4	Mild	Office	0	0
9,985	20	Female	Japan	0.6	59.1	6.2	Good	20.1	52	Low	10.7	null	Service	0	1
9,986	30	Female	Canada	3.3	310.9	6.5	Good	24.6	78	Low	3.6	null	Service	0	0
9,987	30	Female	Australia	2	193.7	7.5	Good	36.4	71	Low	3	Mild	Student	0	0
9,988	18	Male	Norway	3.2	304.9	5.5	Fair	20.1	78	Medium	14.2	Mild	Student	0	1
9,989	23	Male	Mexico	2.1	197.7	8.5	Excellent	26.4	66	Low	0.7	null	Service	0	1
9,990	25	Male	Netherlands	1.6	156.1	7.1	Good	23.8	73	Low	13.4	null	Office	0	0
9,991	52	Male	Japan	0.3	29.7	5.2	Fair	25.6	67	Medium	3.3	Moderate	Office	0	0
9,992	37	Male	UK	2.4	225.6	4.3	Poor	24.2	56	High	1.3	Mild	Healthcare	0	1
9,993	42	Other	Spain	2.8	262	6.6	Good	16.8	77	Low	4.3	null	Service	0	1
9,994	18	Female	Italy	0	0	6.2	Good	25.9	75	Low	8.3	null	Service	0	0
9,995	49	Female	Germany	1.6	150.1	5.7	Fair	25.5	81	Medium	12.9	Mild	Student	0	1
9,996	50	Female	Japan	2.1	199.8	6	Fair	30.5	50	Medium	10.1	Moderate	Healthcare	0	1
9,997	18	Female	UK	3.4	319.2	5.8	Fair	19.1	71	Medium	11.6	Mild	Service	0	0
9,998	26	Male	China	1.6	153.4	7.1	Good	25.1	66	Low	13.7	null	Student	1	1
9,999	40	Female	Finland	3.4	327.1	7	Good	19.3	80	Low	0.1	null	Student	0	0
10,000	42	Female	Brazil	2.9	277.5	6.4	Good	28.1	72	Low	9.8	null	Student	1	0

Subsets and Splits

No community queries yet

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