Datasets:

DATA-Asimov
/

health-and-sleep-relation

Person ID int64 1 374	Gender stringclasses 2 values	Age int64 27 59	Occupation stringclasses 11 values	Sleep Duration float64 5.8 8.5	Quality of Sleep int64 4 9	Physical Activity Level int64 30 90	Stress Level int64 3 8	BMI Category stringclasses 4 values	Blood Pressure stringclasses 25 values	Heart Rate int64 65 86	Daily Steps int64 3k 10k	Sleep Disorder stringclasses 2 values
1	Male	27	Software Engineer	6.1	6	42	6	Overweight	126/83	77	4,200	null
2	Male	28	Doctor	6.2	6	60	8	Normal	125/80	75	10,000	null
3	Male	28	Doctor	6.2	6	60	8	Normal	125/80	75	10,000	null
4	Male	28	Sales Representative	5.9	4	30	8	Obese	140/90	85	3,000	Sleep Apnea
5	Male	28	Sales Representative	5.9	4	30	8	Obese	140/90	85	3,000	Sleep Apnea
6	Male	28	Software Engineer	5.9	4	30	8	Obese	140/90	85	3,000	Insomnia
7	Male	29	Teacher	6.3	6	40	7	Obese	140/90	82	3,500	Insomnia
8	Male	29	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
9	Male	29	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
10	Male	29	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
11	Male	29	Doctor	6.1	6	30	8	Normal	120/80	70	8,000	null
12	Male	29	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
13	Male	29	Doctor	6.1	6	30	8	Normal	120/80	70	8,000	null
14	Male	29	Doctor	6	6	30	8	Normal	120/80	70	8,000	null
15	Male	29	Doctor	6	6	30	8	Normal	120/80	70	8,000	null
16	Male	29	Doctor	6	6	30	8	Normal	120/80	70	8,000	null
17	Female	29	Nurse	6.5	5	40	7	Normal Weight	132/87	80	4,000	Sleep Apnea
18	Male	29	Doctor	6	6	30	8	Normal	120/80	70	8,000	Sleep Apnea
19	Female	29	Nurse	6.5	5	40	7	Normal Weight	132/87	80	4,000	Insomnia
20	Male	30	Doctor	7.6	7	75	6	Normal	120/80	70	8,000	null
21	Male	30	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
22	Male	30	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
23	Male	30	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
24	Male	30	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
25	Male	30	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
26	Male	30	Doctor	7.9	7	75	6	Normal	120/80	70	8,000	null
27	Male	30	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
28	Male	30	Doctor	7.9	7	75	6	Normal	120/80	70	8,000	null
29	Male	30	Doctor	7.9	7	75	6	Normal	120/80	70	8,000	null
30	Male	30	Doctor	7.9	7	75	6	Normal	120/80	70	8,000	null
31	Female	30	Nurse	6.4	5	35	7	Normal Weight	130/86	78	4,100	Sleep Apnea
32	Female	30	Nurse	6.4	5	35	7	Normal Weight	130/86	78	4,100	Insomnia
33	Female	31	Nurse	7.9	8	75	4	Normal Weight	117/76	69	6,800	null
34	Male	31	Doctor	6.1	6	30	8	Normal	125/80	72	5,000	null
35	Male	31	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
36	Male	31	Doctor	6.1	6	30	8	Normal	125/80	72	5,000	null
37	Male	31	Doctor	6.1	6	30	8	Normal	125/80	72	5,000	null
38	Male	31	Doctor	7.6	7	75	6	Normal	120/80	70	8,000	null
39	Male	31	Doctor	7.6	7	75	6	Normal	120/80	70	8,000	null
40	Male	31	Doctor	7.6	7	75	6	Normal	120/80	70	8,000	null
41	Male	31	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
42	Male	31	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
43	Male	31	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
44	Male	31	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
45	Male	31	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
46	Male	31	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
47	Male	31	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
48	Male	31	Doctor	7.8	7	75	6	Normal	120/80	70	8,000	null
49	Male	31	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
50	Male	31	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	Sleep Apnea
51	Male	32	Engineer	7.5	8	45	3	Normal	120/80	70	8,000	null
52	Male	32	Engineer	7.5	8	45	3	Normal	120/80	70	8,000	null
53	Male	32	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
54	Male	32	Doctor	7.6	7	75	6	Normal	120/80	70	8,000	null
55	Male	32	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
56	Male	32	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
57	Male	32	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
58	Male	32	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
59	Male	32	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
60	Male	32	Doctor	7.7	7	75	6	Normal	120/80	70	8,000	null
61	Male	32	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
62	Male	32	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
63	Male	32	Doctor	6.2	6	30	8	Normal	125/80	72	5,000	null
64	Male	32	Doctor	6.2	6	30	8	Normal	125/80	72	5,000	null
65	Male	32	Doctor	6.2	6	30	8	Normal	125/80	72	5,000	null
66	Male	32	Doctor	6.2	6	30	8	Normal	125/80	72	5,000	null
67	Male	32	Accountant	7.2	8	50	6	Normal Weight	118/76	68	7,000	null
68	Male	33	Doctor	6	6	30	8	Normal	125/80	72	5,000	Insomnia
69	Female	33	Scientist	6.2	6	50	6	Overweight	128/85	76	5,500	null
70	Female	33	Scientist	6.2	6	50	6	Overweight	128/85	76	5,500	null
71	Male	33	Doctor	6.1	6	30	8	Normal	125/80	72	5,000	null
72	Male	33	Doctor	6.1	6	30	8	Normal	125/80	72	5,000	null
73	Male	33	Doctor	6.1	6	30	8	Normal	125/80	72	5,000	null
74	Male	33	Doctor	6.1	6	30	8	Normal	125/80	72	5,000	null
75	Male	33	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
76	Male	33	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
77	Male	33	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
78	Male	33	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
79	Male	33	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
80	Male	33	Doctor	6	6	30	8	Normal	125/80	72	5,000	null
81	Female	34	Scientist	5.8	4	32	8	Overweight	131/86	81	5,200	Sleep Apnea
82	Female	34	Scientist	5.8	4	32	8	Overweight	131/86	81	5,200	Sleep Apnea
83	Male	35	Teacher	6.7	7	40	5	Overweight	128/84	70	5,600	null
84	Male	35	Teacher	6.7	7	40	5	Overweight	128/84	70	5,600	null
85	Male	35	Software Engineer	7.5	8	60	5	Normal Weight	120/80	70	8,000	null
86	Female	35	Accountant	7.2	8	60	4	Normal	115/75	68	7,000	null
87	Male	35	Engineer	7.2	8	60	4	Normal	125/80	65	5,000	null
88	Male	35	Engineer	7.2	8	60	4	Normal	125/80	65	5,000	null
89	Male	35	Engineer	7.3	8	60	4	Normal	125/80	65	5,000	null
90	Male	35	Engineer	7.3	8	60	4	Normal	125/80	65	5,000	null
91	Male	35	Engineer	7.3	8	60	4	Normal	125/80	65	5,000	null
92	Male	35	Engineer	7.3	8	60	4	Normal	125/80	65	5,000	null
93	Male	35	Software Engineer	7.5	8	60	5	Normal Weight	120/80	70	8,000	null
94	Male	35	Lawyer	7.4	7	60	5	Obese	135/88	84	3,300	Sleep Apnea
95	Female	36	Accountant	7.2	8	60	4	Normal	115/75	68	7,000	Insomnia
96	Female	36	Accountant	7.1	8	60	4	Normal	115/75	68	7,000	null
97	Female	36	Accountant	7.2	8	60	4	Normal	115/75	68	7,000	null
98	Female	36	Accountant	7.1	8	60	4	Normal	115/75	68	7,000	null
99	Female	36	Teacher	7.1	8	60	4	Normal	115/75	68	7,000	null
100	Female	36	Teacher	7.1	8	60	4	Normal	115/75	68	7,000	null

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health-and-sleep-relation

Description

This dataset explores the relationship between sleep patterns and overall health. It includes detailed information on individual sleep habits, health metrics, and lifestyle factors, enabling analysis of how sleep quality and duration impact physical and mental well-being. The dataset is designed to support research on sleep hygiene, chronic health conditions, mental health, and lifestyle influences on sleep.

Categories Health Promotion and Health Maintenance

Funding University of Oxford OXFDU1245

Source

https://www.kaggle.com/datasets/orvile/health-and-sleep-relation-2024

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