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
201	39	Female	Sweden	0.9	86.4	7.2	Good	23.9	68	Low	2.3	null	Other	1	0
202	41	Female	Switzerland	1.1	102.3	9.3	Excellent	31.2	75	Low	10	Mild	Service	0	0
203	47	Female	India	0	0	7.5	Good	26.6	65	Low	2.7	null	Healthcare	0	1
204	47	Female	India	3.7	353.8	5.6	Fair	35.7	64	Medium	6.2	Moderate	Service	1	0
205	18	Male	Finland	4.6	435.4	6.1	Good	24.8	74	Low	8.1	null	Student	0	0
206	23	Male	UK	4	384.4	9.5	Excellent	25.2	78	Low	3.9	null	Healthcare	0	1
207	41	Female	China	2.6	250.9	5.7	Fair	19.6	71	Medium	10.4	Mild	Other	0	0
208	41	Male	Sweden	2	192.9	6.3	Good	21.3	57	Low	12.9	null	Other	1	0
209	41	Female	Norway	2.4	224.3	7.8	Good	18.2	68	Low	0.2	null	Other	1	0
210	80	Female	India	1	92.2	5.8	Fair	23.8	73	Medium	4.3	Moderate	Student	1	1
211	41	Female	Italy	3.9	371.6	7.6	Good	20.9	87	Low	10.7	null	Other	0	0
212	48	Male	South Korea	4.1	386.9	7.8	Good	22.4	80	Low	4.1	null	Healthcare	1	0
213	46	Female	Brazil	0.9	86.1	7.2	Good	18.9	81	Low	7.8	null	Other	0	1
214	42	Female	China	1.1	104.4	8.8	Excellent	20.9	50	Low	11.3	null	Other	0	0
215	31	Female	Belgium	0.5	48.6	6.7	Good	24.1	88	Low	5.2	null	Service	1	1
216	44	Male	China	2.1	201.2	7.8	Good	16.1	75	Low	11.8	null	Service	1	0
217	25	Male	Italy	2.5	234.4	3.8	Poor	31.3	59	High	12.2	Moderate	Student	0	0
218	32	Male	USA	2.6	247	7.4	Good	29.4	58	Low	14.9	null	Healthcare	1	0
219	29	Male	Switzerland	0.5	47.7	8.5	Excellent	33.3	63	Low	6.5	Mild	Healthcare	0	0
220	35	Male	Sweden	1.4	133.2	7.8	Good	20.1	62	Low	7.1	null	Service	0	1
221	62	Female	Australia	1.4	133.4	6.3	Good	22	73	Low	11.7	Mild	Healthcare	0	0
222	18	Female	Finland	3.6	341.7	4.7	Poor	32.3	65	High	13	Moderate	Other	0	0
223	43	Female	India	1	95.6	8.2	Excellent	31.1	73	Low	7.6	Mild	Student	1	1
224	18	Female	Brazil	2.6	245.2	5.6	Fair	22.1	69	Medium	0.3	Mild	Service	0	0
225	29	Male	Canada	1.4	136.5	5.9	Fair	19.3	80	Medium	6.9	Mild	Other	0	0
226	48	Female	Finland	2.2	210.2	6.4	Good	31.4	70	Low	3.4	Mild	Service	0	1
227	35	Male	India	3.9	372.2	7.2	Good	21.1	55	Low	1.5	null	Service	0	1
228	22	Male	Norway	0.6	61	8.4	Excellent	26.6	59	Low	5.1	null	Student	1	0
229	26	Female	Netherlands	0	0	9.4	Excellent	26.4	75	Low	5.9	null	Student	0	1
230	43	Female	Japan	0.5	46.7	7.1	Good	22.7	85	Low	14.7	null	Service	0	0
231	26	Female	Mexico	3.1	297	6.9	Good	18.9	75	Low	6.8	null	Other	0	1
232	37	Male	Germany	0.7	66.9	7.5	Good	28.3	91	Low	14.5	null	Office	0	0
233	35	Female	Spain	1.4	135.9	6.3	Good	18.6	50	Low	11	null	Other	1	0
234	27	Male	Australia	3.2	302.2	7.4	Good	18	73	Low	3.8	null	Healthcare	0	0
235	60	Male	UK	3.7	352.1	5.8	Fair	24.2	56	Medium	10.5	Moderate	Service	1	0
236	42	Female	Netherlands	4	384.7	7.8	Good	18.5	78	Low	6	null	Service	0	1
237	18	Female	Netherlands	3.3	316.4	5.4	Fair	25.5	84	Medium	8.7	Mild	Student	0	1
238	37	Female	Netherlands	0.8	77.1	8	Excellent	30	56	Low	7.8	Mild	Healthcare	0	1
239	27	Female	Brazil	4.9	466.4	7.4	Good	28.2	83	Low	14	null	Office	0	0
240	45	Female	Sweden	1.1	103.1	5	Fair	30.8	89	Medium	1.9	Moderate	Office	0	0
241	25	Female	Norway	1.5	146.8	7.2	Good	27.2	62	Low	6.7	null	Student	0	1
242	33	Female	USA	2.5	236.7	8.6	Excellent	22.8	88	Low	1.2	null	Office	0	0
243	41	Female	Japan	2.9	277.2	6.9	Good	18.7	63	Low	3.8	null	Service	0	0
244	45	Female	Mexico	4.7	442.5	6.5	Good	19.4	74	Low	1.2	null	Office	0	1
245	20	Other	China	1.6	147.3	6.3	Good	26.8	96	Low	14.1	null	Office	0	0
246	30	Male	Belgium	3.1	291.7	7.2	Good	27	66	Low	4.7	null	Other	1	0
247	29	Female	Brazil	1.6	148.1	6.4	Good	21.2	67	Low	11.7	null	Office	0	0
248	27	Female	Canada	4.9	466.6	6.9	Good	23.2	71	Low	11.2	null	Other	0	0
249	56	Male	Germany	3.1	298.4	7.5	Good	26.7	67	Low	2.1	Mild	Healthcare	1	0
250	39	Female	South Korea	4.4	421.2	6.8	Good	22.2	90	Low	2.1	null	Other	0	1
251	19	Male	Switzerland	0.8	73.2	8.3	Excellent	31.2	71	Low	5.7	Mild	Healthcare	0	0
252	46	Female	Australia	1.7	157.5	7.3	Good	25.2	89	Low	8.5	null	Student	0	1
253	60	Female	Spain	2.9	272.9	6.2	Good	27	81	Low	6.4	Mild	Service	0	0
254	47	Male	Mexico	4.5	423.5	4.3	Poor	23.7	60	High	11.5	Mild	Student	0	1
255	18	Male	Finland	4	378.9	5.9	Fair	25.7	81	Medium	8	Mild	Student	0	0
256	29	Female	China	4.8	451.3	6.2	Good	18	71	Low	13.2	null	Student	0	1
257	50	Male	Finland	4.5	428.6	7.1	Good	23.9	72	Low	8.9	null	Healthcare	0	0
258	26	Male	Belgium	3.7	348.5	4.3	Poor	20.9	90	High	8.9	Mild	Office	0	0
259	40	Male	Brazil	2.7	259.4	4.5	Poor	34	66	High	9.9	Moderate	Other	0	0
260	44	Female	UK	0.8	78.6	4.7	Poor	24.7	69	High	9	Mild	Student	0	0
261	23	Female	Mexico	0	0	7	Good	23.3	86	Low	9.2	null	Student	0	0
262	34	Female	Brazil	2.7	255.2	5.1	Fair	25.6	69	Medium	6.7	Mild	Office	0	0
263	18	Male	Australia	3.7	351.9	7.1	Good	25.3	75	Low	1.4	null	Student	0	0
264	22	Female	Sweden	0	0	6.6	Good	24	66	Low	5.5	null	Healthcare	0	1
265	31	Female	UK	0.7	70.2	5.1	Fair	26.7	67	Medium	11.5	Mild	Healthcare	0	1
266	20	Male	France	1	92.6	8.2	Excellent	26.3	64	Low	0.6	null	Office	0	0
267	54	Female	Australia	2.2	210.8	6.7	Good	24.3	58	Low	10.4	Mild	Healthcare	0	0
268	18	Female	Switzerland	2.7	252.2	8	Good	30.1	64	Low	14.7	Mild	Student	0	0
269	29	Female	India	4.1	391.6	6.5	Good	17.6	75	Low	6.5	null	Student	0	0
270	36	Male	Brazil	0.5	50	8.9	Excellent	22.3	60	Low	3.2	null	Service	0	0
271	52	Male	Italy	3	286.6	7.4	Good	22.4	69	Low	0.3	Mild	Service	1	0
272	18	Male	Switzerland	0.4	39.8	5.4	Fair	23.9	80	Medium	12.8	Mild	Office	0	0
273	48	Male	USA	3.8	356.6	5.9	Fair	22.9	72	Medium	2.2	Mild	Student	0	1
274	35	Female	France	1.8	168.9	6	Good	21.8	93	Low	0.6	null	Student	0	1
275	23	Male	Belgium	0.7	64.8	4.3	Poor	29	76	High	7.3	Mild	Other	0	1
276	40	Female	USA	1.5	141.7	7.9	Good	20	52	Low	5.7	null	Healthcare	1	0
277	37	Male	USA	0.8	78.6	7.5	Good	25.9	60	Low	14.4	null	Office	0	0
278	27	Male	France	2.6	250.6	8.4	Excellent	21.9	50	Low	6.9	null	Office	1	0
279	35	Female	Spain	3.4	326.4	4.6	Poor	25.5	69	High	12.5	Mild	Healthcare	0	0
280	30	Male	Canada	4	384.4	5.1	Fair	29.3	85	Medium	14	Mild	Other	0	1
281	36	Female	South Korea	1.7	163.6	5.7	Fair	15	73	Medium	2.8	Mild	Service	1	0
282	42	Male	Netherlands	4.6	435.3	8.2	Excellent	20.7	65	Low	5.2	null	Other	0	0
283	54	Male	South Korea	2.5	234	8.4	Excellent	20.7	87	Low	13.8	Mild	Service	0	0
284	20	Female	India	4.4	417.8	4.9	Poor	23.4	63	High	8.3	Mild	Service	0	1
285	60	Female	Australia	2.3	215.1	7.2	Good	27.7	78	Low	4.8	Mild	Other	0	1
286	18	Male	Netherlands	2.2	204.6	7.5	Good	31.4	63	Low	7.8	Mild	Office	1	0
287	33	Male	Brazil	3.4	319.9	6.4	Good	27.6	76	Low	11	null	Student	0	0
288	42	Female	Belgium	3	281.4	9	Excellent	23.4	66	Low	9.3	null	Office	0	1
289	38	Female	Japan	1.7	158.5	3.9	Poor	21.9	59	High	14	Mild	Student	0	1
290	27	Female	Sweden	4.2	402.1	4.1	Poor	30.1	56	High	14.4	Moderate	Office	0	0
291	32	Male	Finland	1.1	101.2	7.1	Good	18	75	Low	10.7	null	Other	0	1
292	29	Other	Canada	3.4	319.9	5.1	Fair	25.6	80	Medium	10	Mild	Other	1	0
293	27	Male	Canada	3.3	313.7	7.7	Good	28.8	77	Low	0.2	null	Other	0	1
294	45	Male	Norway	4.1	389.2	4.6	Poor	22.8	72	High	11.8	Mild	Student	0	0
295	39	Female	South Korea	4.1	392	7.2	Good	25.3	55	Low	7.5	null	Office	0	1
296	26	Male	Australia	2.2	211.6	6.7	Good	18.6	72	Low	13.1	null	Service	1	0
297	45	Male	Italy	2.5	242.2	8.9	Excellent	26	72	Low	14	null	Office	0	1
298	38	Male	Canada	2.4	232.6	5.7	Fair	24.3	91	Medium	5.5	Mild	Office	0	0
299	44	Male	Japan	5.1	486.2	8.2	Excellent	26.2	67	Low	13.6	null	Healthcare	0	0
300	42	Female	Canada	3.5	330.3	7.5	Good	22.2	67	Low	9.9	null	Office	0	0

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