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
101	18	Male	Spain	2.4	226.7	6.8	Good	24	73	Low	3.8	null	Service	0	1
102	29	Male	Italy	2.3	217.9	6.6	Good	25	69	Low	5.4	null	Office	1	0
103	30	Female	India	1.1	102.3	4.7	Poor	29.1	62	High	2.5	Mild	Office	0	0
104	25	Female	Norway	2.4	224.5	7.5	Good	22.4	69	Low	11.3	null	Other	0	0
105	33	Male	Finland	1	95	8	Good	28.8	92	Low	9.5	null	Other	0	1
106	39	Male	Australia	2.8	264.2	7.7	Good	30.3	79	Low	10.9	Mild	Office	0	0
107	57	Male	Belgium	2.7	260.5	4.9	Poor	25.3	71	High	6.7	Moderate	Service	0	0
108	37	Male	Spain	2.3	220	7.8	Good	27.2	61	Low	11	null	Healthcare	0	1
109	38	Male	Norway	4.4	413.8	6	Fair	19.3	52	Medium	7	Mild	Healthcare	0	1
110	34	Female	Sweden	3.2	308.4	5	Fair	26.3	59	Medium	8	Mild	Healthcare	0	1
111	18	Female	Italy	1.1	106.4	9.4	Excellent	26.3	67	Low	1.9	null	Service	0	0
112	34	Male	Finland	3.4	318.5	8.3	Excellent	25	61	Low	0.5	null	Healthcare	0	1
113	35	Female	India	3.9	373.2	7.2	Good	27.5	56	Low	11.2	null	Office	0	0
114	64	Female	Brazil	0	0	7.6	Good	24.7	68	Low	13.4	Mild	Service	0	0
115	32	Male	South Korea	0.9	83.2	8.7	Excellent	22.7	56	Low	5.4	null	Office	1	1
116	38	Male	Mexico	1.8	170.7	6.1	Good	23.5	74	Low	12.7	null	Service	1	1
117	34	Female	Italy	1.3	121.5	9.8	Excellent	23.7	78	Low	4.1	null	Healthcare	1	0
118	20	Female	Canada	3.5	328.4	6.5	Good	24	88	Low	11	null	Healthcare	0	0
119	48	Male	India	1.2	111.2	8	Excellent	22.5	59	Low	8.7	null	Other	0	0
120	44	Other	Japan	1	95.8	7.5	Good	22.4	64	Low	0.5	null	Student	0	0
121	44	Male	Sweden	2.9	271.5	5.4	Fair	26.6	60	Medium	3.6	Mild	Office	0	0
122	24	Male	Switzerland	2.2	204.6	6.7	Good	24.2	80	Low	9.4	null	Healthcare	0	0
123	51	Male	Norway	4.2	397.5	8.2	Excellent	19.4	63	Low	3.1	Mild	Service	0	0
124	18	Male	Sweden	3.1	290.4	5.6	Fair	26.3	66	Medium	8.8	Mild	Other	0	1
125	42	Female	Japan	7.6	722.4	7.5	Good	20.4	73	Low	10.6	null	Office	0	1
126	61	Female	Japan	0.9	82.1	7.7	Good	31.5	60	Low	5.2	Moderate	Healthcare	0	0
127	23	Male	Canada	0.2	19.6	5.4	Fair	20	82	Medium	10.4	Mild	Other	1	0
128	28	Female	UK	4.6	433.5	6.3	Good	31.7	59	Low	9.6	Mild	Healthcare	1	0
129	36	Female	China	7.1	674.5	5.9	Fair	25.8	74	Medium	14.8	Mild	Healthcare	0	0
130	28	Male	UK	2.2	205.7	5.5	Fair	22.3	61	Medium	9.2	Mild	Healthcare	1	0
131	18	Female	China	2	192.2	7.1	Good	20.9	65	Low	4.1	null	Other	0	0
132	35	Male	Canada	2.7	255.6	5	Poor	26.4	71	High	3.7	Mild	Student	0	1
133	22	Female	Spain	1.2	116	7.9	Good	22.5	61	Low	9.9	null	Healthcare	1	0
134	40	Male	USA	0	0	5.9	Fair	21.1	50	Medium	1.6	Mild	Office	0	0
135	23	Female	Switzerland	2.9	272.1	6.2	Good	21.5	82	Low	3.4	null	Other	0	0
136	53	Male	Belgium	2.5	238.9	6.6	Good	23.9	52	Low	0.1	Mild	Healthcare	0	0
137	25	Female	Spain	0.4	40.3	8.8	Excellent	24.3	65	Low	7.7	null	Other	0	0
138	31	Female	Spain	1.6	149.5	5.2	Fair	28.8	71	Medium	11.8	Mild	Office	0	0
139	44	Male	Netherlands	0.4	37.1	6.3	Good	23	69	Low	7.7	null	Office	0	0
140	20	Male	Netherlands	3.1	290.4	6.7	Good	26.3	72	Low	4.3	null	Service	0	0
141	37	Male	Canada	2.5	233.7	6.6	Good	22.3	68	Low	12.6	null	Service	0	0
142	50	Female	France	2.7	260.6	6.7	Good	20.3	72	Low	7.3	null	Student	0	0
143	18	Male	UK	3.3	311.6	6.3	Good	21.1	75	Low	10.3	null	Service	0	0
144	37	Female	Germany	4.1	393.7	6.7	Good	15	85	Low	14.8	null	Other	1	1
145	38	Male	Spain	2.8	262.9	4.2	Poor	24.1	65	High	12.2	Mild	Service	0	0
146	44	Male	UK	3.4	325.2	8.2	Excellent	22.3	84	Low	12.8	null	Other	0	1
147	20	Male	Finland	5.2	496.7	6.1	Good	23.1	69	Low	1.8	null	Other	0	0
148	19	Male	South Korea	3.9	375.2	9.6	Excellent	21.8	77	Low	8.1	null	Student	0	0
149	41	Female	Belgium	2.8	268.6	6.2	Good	24.2	73	Low	15	null	Other	0	0
150	38	Female	China	2.7	259.8	7.8	Good	29.5	61	Low	4.9	null	Service	0	0
151	38	Male	Australia	1.3	119.3	5.9	Fair	26.6	55	Medium	0.6	Mild	Service	0	0
152	39	Female	Norway	1.5	145.4	6.8	Good	20.5	74	Low	0.5	null	Healthcare	0	1
153	26	Male	Switzerland	2.4	223.4	5.4	Fair	29.9	59	Medium	14.7	Mild	Student	0	1
154	37	Female	France	2	187.1	6.3	Good	33.8	61	Low	6.5	Mild	Office	1	1
155	38	Male	Spain	5.3	506.2	5.3	Fair	23.9	69	Medium	4.3	Mild	Office	0	1
156	26	Female	UK	3.1	290.6	7.1	Good	23.6	82	Low	7.7	null	Healthcare	0	0
157	57	Female	UK	2.9	278.9	8.5	Excellent	27.3	84	Low	9.2	Mild	Service	1	0
158	40	Male	Germany	4.3	404.7	6.9	Good	26.6	58	Low	13.2	null	Student	0	0
159	20	Female	China	2.8	263.6	10	Excellent	22.3	50	Low	6.6	null	Service	0	0
160	42	Male	Netherlands	2.1	198.2	7.5	Good	22	69	Low	12.8	null	Healthcare	0	0
161	23	Male	India	2.9	274.3	5.4	Fair	22.2	64	Medium	3.9	Mild	Office	0	0
162	44	Male	Japan	3.1	295.4	9.4	Excellent	29	87	Low	8.2	null	Student	0	0
163	48	Male	France	4.6	437	7.4	Good	22.6	79	Low	11.7	null	Service	0	0
164	25	Male	Finland	0.5	44.1	5.3	Fair	24	61	Medium	6.6	Mild	Other	0	0
165	46	Male	Italy	1.4	132.2	6.8	Good	28	57	Low	4.2	null	Other	0	0
166	39	Male	Australia	2.4	227.1	7.6	Good	29.1	75	Low	12.1	null	Other	1	1
167	44	Male	Finland	3.9	371.1	7.1	Good	20.4	65	Low	12.1	null	Office	0	0
168	57	Female	Italy	3.7	349.7	7.4	Good	19.1	63	Low	4.2	Mild	Other	0	1
169	32	Female	UK	2.7	252.9	7.8	Good	25.4	74	Low	9.1	null	Other	0	0
170	25	Male	Spain	4	382.8	5.7	Fair	24.4	61	Medium	3.7	Mild	Healthcare	0	0
171	24	Male	Finland	1.5	141.5	7.4	Good	27	73	Low	13.4	null	Healthcare	0	1
172	25	Male	Switzerland	5.3	505.9	6.5	Good	18.3	76	Low	1.1	null	Healthcare	1	0
173	34	Female	Belgium	1.2	118.4	6.5	Good	22.7	57	Low	5.7	null	Service	0	0
174	39	Female	Sweden	0	0	8	Excellent	24.8	74	Low	9.8	null	Other	0	0
175	38	Male	Italy	3.4	323.7	6.7	Good	20.1	71	Low	12.9	null	Office	0	0
176	44	Male	USA	0.4	33.3	8.3	Excellent	26	50	Low	11.9	null	Other	0	0
177	35	Male	Spain	1.7	165	7.1	Good	28.8	73	Low	10.3	null	Other	0	0
178	52	Male	Spain	2.3	217.1	6.3	Good	20.2	64	Low	13.9	Mild	Service	0	1
179	31	Female	USA	3.1	296.6	6.7	Good	27.2	67	Low	0.4	null	Healthcare	0	0
180	67	Female	USA	4	381.8	7.2	Good	23.5	78	Low	14.7	Mild	Other	1	0
181	42	Male	Norway	0.5	45.2	7	Good	21.6	66	Low	5.2	null	Student	1	0
182	24	Female	Japan	0.8	77.1	6.3	Good	22.2	86	Low	11.2	null	Student	0	1
183	22	Male	Norway	7.6	723.9	6	Good	27.7	50	Low	4.2	null	Healthcare	0	0
184	40	Male	Mexico	2.2	207.4	8.4	Excellent	22.3	72	Low	6.2	null	Healthcare	0	0
185	32	Female	India	0	3.3	7.8	Good	22.5	61	Low	13.1	null	Other	0	1
186	43	Female	China	1	93.8	7.3	Good	28.1	63	Low	6.7	null	Student	0	0
187	40	Male	China	1.7	162.3	6.5	Good	27.2	60	Low	13.3	null	Office	1	1
188	34	Male	Australia	2.5	238.2	6.9	Good	22.2	77	Low	8.2	null	Office	0	0
189	24	Female	Mexico	4.3	407.4	5.2	Fair	31.4	58	Medium	4	Moderate	Student	0	0
190	18	Female	Norway	5	470.3	6	Good	27.5	88	Low	7.3	null	Healthcare	0	0
191	29	Male	Norway	1.3	120	7.4	Good	30.2	78	Low	1.3	Mild	Service	0	0
192	45	Male	Japan	1.6	156.6	6.9	Good	31.1	63	Low	7.2	Mild	Service	0	1
193	37	Male	Sweden	2.7	258.7	6.1	Good	21.7	66	Low	11.8	null	Office	0	1
194	20	Female	Germany	1.4	134	5.3	Fair	21.3	79	Medium	1	Mild	Healthcare	0	1
195	37	Female	Norway	4.3	407.5	6.2	Good	16.7	74	Low	3.5	null	Other	0	1
196	39	Male	Switzerland	6.2	589	5.2	Fair	29.9	86	Medium	6.3	Mild	Student	0	0
197	24	Female	China	2.5	240.5	6.6	Good	17.4	69	Low	11.4	null	Office	0	1
198	36	Female	China	3	284.3	6.9	Good	25.1	81	Low	11.3	null	Service	1	0
199	35	Male	Spain	1.6	154	8.5	Excellent	19.4	77	Low	13.3	null	Service	0	1
200	21	Male	Belgium	3	285.3	7.7	Good	23.5	78	Low	2.2	null	Other	0	0

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