Dataset Viewer
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 |
End of preview. Expand
in Data Studio
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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