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Datasets:
vkshdev
/
gaming-psychological-health

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age
int64
gender
string
income
int64
daily_gaming_hours
float64
weekly_sessions
int64
years_gaming
int64
sleep_hours
float64
caffeine_intake
float64
exercise_hours
float64
stress_level
int64
anxiety_score
float64
depression_score
float64
social_interaction_score
float64
relationship_satisfaction
float64
academic_performance
float64
work_productivity
float64
addiction_level
float64
multiplayer_ratio
float64
toxic_exposure
float64
violent_games_ratio
float64
mobile_gaming_ratio
float64
night_gaming_ratio
float64
weekend_gaming_hours
float64
friends_gaming_count
int64
online_friends
int64
streaming_hours
float64
esports_interest
int64
headset_usage
int64
microtransactions_spending
float64
parental_supervision
int64
loneliness_score
float64
aggression_score
float64
happiness_score
float64
bmi
float64
screen_time_total
float64
eye_strain_score
float64
back_pain_score
float64
competitive_rank
int64
internet_quality
int64
51
Female
8,615
3.68
22
17
5.26
1
0.18
3
4.06
5.02
7.85
9.55
68.8
77.12
2.02
0.39
0.05
0.51
0.23
0.32
1.5
20
186
2.82
1
1
1,746.97
0
2.87
3.19
5.2
19.69
4.71
5.71
4.81
80
10
41
Female
39,453
5.7
34
16
9.2
0.7
1.44
8
6.76
7.63
7.06
6.96
38.11
44.94
5.85
0.23
0.37
0.43
0.24
0.32
17.93
37
21
1.34
8
1
342.04
7
4.17
7.73
5.4
26.37
6.62
6.77
3.99
57
2
27
Male
40,466
1.58
8
22
7.39
2.24
3.15
3
9.57
4.02
1.12
2.61
97.44
54.77
0.08
0.06
0.15
0.48
0.27
0.42
2.99
45
146
3.56
8
1
57.95
9
9.38
2.85
5.17
25.15
9.3
2.16
4.75
59
10
55
Male
51,076
6.11
39
24
7.99
1.65
2.8
1
4.97
1.4
6.59
6
67.65
88.56
2.77
0.53
0.36
0.64
0.57
0.82
1.99
11
133
1.8
6
1
617.32
5
8.24
7.19
8.62
26.42
13.81
4.72
5.37
89
1
20
Male
86,116
3.65
17
0
7.12
1.02
1.01
2
8.73
4.83
6.03
3.54
62.34
68.82
3.37
0.78
0.25
0.29
0.47
0.83
9.23
24
399
1.3
4
0
1,398.39
9
6.65
2.53
9.71
25.75
10.74
3.9
6.44
15
10
33
Female
107,013
1.97
34
19
7.51
0.09
2.33
4
2.47
4.32
6.28
9.63
80.06
82.63
1.34
0.37
0.52
0.68
0.55
0.93
3.62
19
240
1.01
9
1
876.42
3
5.57
7.82
4.39
16.61
12.66
7.87
4.56
31
4
51
Female
54,483
3.15
37
3
6.42
1.13
0.78
6
5.96
0
3.08
1.22
73.45
72.2
2.33
0.7
0.33
0.13
0.87
0.4
2.43
26
82
0.8
7
0
119.26
9
3.32
4.31
5.58
29.69
9.57
2.72
1.59
79
4
31
Male
70,054
2.61
31
0
8.45
4.8
2.59
10
5.43
3.74
3.19
3.87
89.32
54.98
0.67
0.3
0.16
0.22
0.74
0.45
2.53
40
299
1.27
9
0
1,316.03
3
5.96
5.52
5.43
19.54
4.24
6.97
3.7
74
1
35
Other
39,958
1.34
15
2
6.14
5.18
0.47
8
3.7
4
6.36
4.89
90.92
100
2.51
0.72
0.39
0.82
0.29
0.17
6.93
4
378
0.99
3
0
77.7
0
0.91
7.1
5.75
22.52
3.69
3.9
6.47
14
9
23
Female
19,047
2.52
1
4
5.11
4.49
0.62
4
5.66
3.37
8.77
5.44
66.69
68.2
1.64
0.71
0.13
0.43
0.22
0.55
13.29
9
303
1.63
7
1
808.5
1
2.92
4.73
3.97
20.66
5.09
4.18
6.3
99
10
23
Male
21,601
1.7
38
15
9.18
1.11
3.08
9
4.22
3.46
7.61
7.07
91.52
70.06
0.11
0.84
0.49
0.23
0.64
0.94
8.12
40
203
0.14
5
1
442.32
3
5.49
3.9
3.8
24.2
5.17
4.85
2.55
54
5
36
Male
128,499
4.02
33
15
8.77
2.63
0.39
6
4.25
4.99
6.84
2.78
60.42
84.34
4.5
0.48
0.13
0.72
0.39
0.71
10.33
35
368
1.67
7
1
293.84
0
7.62
2.97
7.62
25.24
8.62
4.63
7.16
27
10
48
Female
142,055
1.16
8
8
6.92
0.38
0.8
5
6.6
5.39
7.64
5.67
97.99
86.27
0.05
0.85
0.34
0.25
0.57
0.48
5.74
25
400
0.76
9
1
709.16
9
3.01
4.54
5.22
18.09
11.32
4.17
6.14
5
7
52
Male
120,251
2.49
8
6
6.51
0.17
0.19
9
6.89
2
2.94
7.22
80.69
66.3
2.79
0.74
0.48
0.42
0.94
0.68
0.91
34
153
0.81
8
1
614.31
8
10
3.12
3.36
15.53
4.85
3.41
4.5
36
4
36
Male
51,636
0.8
31
5
7.91
4.15
2
7
3.55
2.44
5.29
5.62
41.96
62.29
0.95
0.3
0.13
0.41
0.39
0.43
2.05
33
106
1.58
10
1
96.99
5
5.06
5.72
5.32
19.95
5.14
6.27
1.17
50
2
15
Female
137,088
12.97
13
9
7.45
0.32
0.77
1
5.29
5.49
9.03
7.66
62.33
44.91
7.83
0.11
0.36
0.24
0.15
0.42
3.42
46
275
7.11
6
1
195.81
3
8.2
9.64
5.94
17.84
18.2
1.3
1.77
72
8
34
Male
70,847
3.72
32
5
9.41
1.58
0.14
2
3.22
4.96
7.52
6.53
61.88
57.99
4.06
0.13
0.02
0.48
0.44
0.57
7.14
36
395
0.65
1
0
91.41
2
4.75
9.04
6.7
26.46
5.74
4.37
5.07
61
2
14
Female
51,846
4.37
8
5
6.38
0.42
0.47
4
7.42
10
3.21
5.85
72.21
71.83
2.95
0.33
0.19
0.27
0.67
0.16
0.53
46
450
3.4
10
1
67.78
7
6.24
6.78
2.78
33.6
11.38
4.35
1.85
72
8
36
Female
72,587
1.18
5
5
6.27
0.89
3.8
5
5.08
7.17
4.87
3.4
66.92
67.43
0.06
0.59
0.19
0.36
0.73
0.73
2.33
4
222
1.87
0
0
72.61
4
7.44
3.52
3.79
27.2
12.21
7.08
0
95
1
56
Male
117,567
5.89
26
4
9.55
3.72
1.94
8
6.44
4.13
6.02
6.44
74.68
65.41
6.08
0.67
0.19
0.67
0.27
0.17
8.7
20
386
0.83
0
0
948.35
10
10
7.83
7.99
20.85
10.36
5.75
4.12
31
9
42
Female
39,602
2.15
17
1
6.41
1.11
6.58
3
5.31
0.28
7.44
7.18
64.77
77.29
2.13
0.29
0.37
0.39
0.75
0.62
13.39
43
242
0.22
5
1
300.36
4
6.77
7.11
2.47
18.07
4.51
4.36
2.48
32
3
50
Male
46,441
7.48
36
13
6.98
4.25
1
10
3.19
7.88
7.5
6.59
80.21
32.71
5.75
0.51
0.5
0.17
0.54
0.55
4.69
19
437
0.62
3
0
202.18
8
6.08
3.78
6.24
23.06
9.12
0
2.42
9
4
14
Male
35,076
1.14
34
5
6.63
3.42
0.29
10
5.87
6.21
4.46
8.64
63.14
88.84
2.28
0.56
0.13
0.46
0.15
0.56
9.93
16
330
7.56
8
1
318.62
8
6.13
6.14
8.34
25.09
5
4.93
5.13
87
3
33
Female
76,076
3.46
26
9
8.22
0.31
4.15
6
6.46
4.12
2.55
5.04
69.93
100
4.49
0.87
0.13
0.37
0.86
0.72
2.78
12
282
1.26
9
1
320.35
8
6.73
5.52
7.18
21.58
7.29
4.1
4.57
3
8
45
Male
32,392
4.51
24
23
6.88
3.26
0.03
10
3.63
6.27
3.76
4.78
54.98
74.4
4.78
0.66
0.12
0.65
0.68
0.86
2.86
26
285
0.75
6
1
811.78
1
7.7
1.66
6.39
30.94
16.16
1.4
3.26
24
4
24
Other
109,840
1.38
27
3
8.98
3.94
2.83
9
3.79
2.84
5.12
7.97
79.72
85.4
0.91
0.54
0.52
0.48
0.7
0.48
8
9
379
1.6
9
1
131.9
3
1.43
6.84
5.21
17.97
2.43
5.3
5.33
97
10
34
Female
56,327
1.6
34
6
5.17
0.34
1.4
6
2.94
6.14
7.17
5.03
89.26
79.11
1.09
0.35
0.55
0.74
0.8
0.16
6.18
45
44
1.24
2
1
469.81
0
5.7
8.79
4.12
26.55
5.86
4.61
5.56
52
9
56
Male
84,454
0.34
20
23
5.67
2.84
1.54
10
6.78
2.54
5.89
3.87
90.96
85.53
0
0.68
0.24
0.36
0.44
0.83
1.91
32
23
2.16
9
1
629.85
4
6.66
5.93
5.24
25.19
4.04
3.45
4.19
48
4
37
Male
74,036
4.16
36
4
7.76
3.87
1.51
10
2.22
5.11
4.79
9.05
51.84
63.77
2.35
0.21
0.08
0.36
0.54
0.89
7.88
45
296
0.76
0
0
127.18
6
2.37
3.8
4.28
28.58
5.63
3.25
3.53
61
10
39
Female
141,414
1.02
38
5
5.28
0.48
1.55
9
2.8
4.46
8.15
4.73
85.27
81.9
0.8
0.58
0.13
0.41
0.25
0.61
2.77
8
383
0.57
7
0
10.53
2
1.25
5.54
3.16
26.44
5.36
1.75
8.5
24
3
54
Male
90,916
6
31
3
6.93
3.78
0.72
2
4.87
4.01
7.26
4.67
64.17
78.45
4.31
0.65
0.12
0.17
0.5
0.68
7.8
48
482
3.79
3
1
276.57
7
3.14
1.03
7.6
22.41
8.15
5.87
5.16
96
2
40
Male
84,918
0.25
22
11
7.71
9
0.45
4
3.34
10
6.47
4.64
74.29
55.52
0
0.61
0.61
0.36
0.67
0.44
2.72
20
286
0.98
10
1
1,778.56
9
5.22
5.94
5.24
18.93
10.77
8.46
3.28
25
4
28
Female
78,999
0.99
29
13
5.72
0.17
0.88
7
5.03
9.5
5.75
8.8
78.19
53.77
1.96
0.54
0.2
0.37
0.59
0.64
12.79
27
166
2.29
9
1
482.14
1
2.84
5.03
4.89
25.25
1.64
7.78
3.99
11
9
27
Male
33,824
2.62
16
14
8.51
0.27
0.1
10
4.75
6.18
7.69
5.38
76.17
80.75
1.72
0.23
0.33
0.36
0.42
0.84
9.55
46
426
2.25
5
0
373.49
3
5.58
4.9
7.3
25.02
6.65
8.36
4.48
34
6
59
Male
52,879
6.08
21
8
6.86
1.92
0.49
8
1.28
5.65
5.97
7.88
67.34
85.72
3.13
0.26
0.29
0.28
0.09
0.5
4.28
46
236
4.4
4
1
94.06
4
4.46
6.25
9.29
26.41
9.8
3.85
5.96
16
6
56
Male
40,754
5.17
18
24
6.74
0.56
1.3
6
4.9
6.61
6.83
5.8
84.62
66.71
3.08
0.15
0.12
0.17
0.3
0.41
7.89
1
444
4.24
0
0
42.71
8
3.41
7.86
4.78
24.12
7.54
2.19
6.22
31
4
15
Male
66,658
1.07
31
12
6.67
0.19
6.29
7
7.6
6.77
7.92
4.88
50.11
71.11
0
0.42
0.5
0.87
0.51
0.61
14.03
40
177
2.22
1
1
464.78
0
6.45
2.72
6.09
24.78
4.57
2.11
5.47
96
10
49
Male
89,317
7.5
12
0
8.04
0.25
2.42
2
7.35
7.04
6.1
6.33
68.94
55.06
5.38
0.19
0.1
0.28
0.74
0.54
7.31
0
60
1.55
3
0
126.08
1
5.59
5.11
5.4
22.4
9.34
3.92
2.95
17
2
19
Female
128,017
8
32
6
5.79
8.49
6
3
7.64
3.98
6.59
1.61
55.89
34.71
6.25
0.89
0.38
0.43
0.65
0.73
4.75
9
216
1.68
1
1
745.56
10
5.37
5.11
3.77
26.7
11.96
3.07
3.95
22
1
33
Female
130,936
1.72
35
15
6.57
0.6
0.7
5
5.69
2.17
10
0.95
87.82
74.05
1.57
0.6
0.19
0.32
0.64
0.87
6.45
34
149
0.8
7
0
568.89
4
4.23
4.58
6.29
30.79
6.97
4.76
1.72
24
2
21
Male
25,023
6.59
6
12
6.59
2.99
1.44
1
4.92
9.55
6.29
4.73
50.85
77.94
5.67
0.6
0.28
0.22
0.37
0.49
10.56
24
281
0.43
10
0
341.02
1
5.7
5.17
8.08
22.88
7.34
3.85
6.6
0
10
51
Female
61,159
4.88
9
18
4.8
2.87
3.68
1
4.26
2.9
5.08
2.3
75.28
74.59
2.76
0.31
0.14
0.37
0.32
0.74
21.17
43
316
2.95
0
0
817.23
7
4.48
4.63
9.61
28.99
16.57
5.04
0.56
63
6
30
Male
70,010
4.64
26
11
5.75
0.79
1.35
9
6.89
4.24
4.92
6.2
37.43
36.85
5.2
0.68
0.18
0.12
0.57
0.78
1.45
0
443
2.38
1
0
49.62
3
3.61
4.18
5.82
18.66
9.34
6.61
4.09
51
9
16
Female
10,752
2.08
1
3
6.54
8.22
0.76
9
4.14
3.92
9.5
4.3
71.69
77.15
0.71
0.71
0.12
0.22
0.45
0.79
4.35
11
13
0.52
9
1
132.89
10
6.83
5.2
6.78
19.14
4.73
8.74
1.04
44
2
37
Male
85,058
6.77
21
24
4.89
2.31
3.14
10
7.32
2.53
6.64
9.89
66.53
30.66
4.32
0.53
0.14
0.37
0.59
0.59
2.49
44
340
0.75
2
1
204.9
8
6.18
5
6.73
15.98
9.21
7.42
2.77
52
4
26
Female
132,416
4.02
23
7
10.29
3.62
0.55
8
6.87
4.5
3.24
8.27
73.05
60.52
3.45
0.47
0.12
0.54
0.4
0.82
0.95
27
56
2.08
1
0
224.24
1
0.88
2.8
3.38
29
9.27
4.13
6.84
81
4
21
Male
109,421
7.61
39
6
5.18
0.31
0.62
8
5.3
2.45
2.33
5.58
75.82
59.01
6.45
0.95
0.66
0.23
0.49
0.85
3.37
17
71
1.16
4
0
189.88
0
4.31
6
4.2
29.06
11.76
3.88
1.83
42
7
38
Male
59,227
2.48
3
0
6.21
2.78
5.53
1
4.28
8.11
3.32
5.49
59.96
57.99
0.64
0.69
0.44
0.26
0.42
0.34
4.77
32
347
1.86
3
1
695.48
5
5.78
3.7
5.95
26.34
4.35
3.8
0.25
74
4
14
Female
15,690
1.6
34
20
7.85
0.65
0.59
10
6.51
2.19
1.36
4.71
61.36
63.68
0.31
0.74
0.14
0.38
0.63
0.63
2.74
0
425
1.02
2
0
765.21
2
8.5
6.23
4.25
23.74
10.72
4.67
3.75
14
7
32
Male
125,309
3.9
18
4
7.04
0.02
0.55
7
4.96
5.67
3.28
4.7
80.05
88.98
3.47
0.51
0.22
0.74
0.46
0.69
4.16
44
44
0.44
1
0
637.56
7
6.98
6.51
3.69
20.49
4.58
1.18
2.2
70
5
40
Male
141,923
3.86
23
3
5.92
0.4
0.35
8
5.67
10
7.23
5.48
51.82
88.55
3.62
0.84
0.18
0.59
0.83
0.59
4.99
1
88
0.26
4
1
219.41
10
6.86
5.08
6.82
20.81
4.51
5.27
2.84
15
8
59
Male
71,205
2.63
23
17
6.54
8.11
3.09
7
5.68
5.9
7.29
3.57
54.32
90.24
4.86
0.21
0.29
0.34
0.93
0.43
5.96
2
75
1.36
7
0
101.09
10
4.74
6.97
9.25
23.69
3.81
4.14
4.46
69
8
19
Female
118,775
11.98
1
16
9.08
2.57
0.24
8
4.2
6
4.52
5.76
78.61
95.13
8.38
0.84
0.21
0.13
0.62
0.39
4.76
40
81
1.95
9
0
6.79
2
4.75
3.49
6.52
20.5
19.11
2.37
10
31
9
56
Male
24,479
1.74
14
3
4.84
4.27
2.53
7
4.89
4.18
2.01
4.39
59.42
73.35
1.5
0.36
0.16
0.57
0.32
0.41
0.73
43
454
2.1
5
0
772.83
10
5.53
5.6
9.75
21.42
6.5
1.61
1.89
47
6
20
Female
93,784
2.91
22
7
7.11
3.92
4.46
5
7.3
2.08
5.56
4.19
80.21
80.22
2.5
0.82
0.08
0.54
0.56
0.18
5.09
8
409
1.92
7
0
309.51
8
3.78
7.89
7.75
24.87
4.14
5.75
3.23
41
6
59
Male
86,112
0.8
22
1
8.13
0.78
0.22
5
4.7
4.44
3.82
8.75
79.74
76.77
1.4
0.66
0.24
0.67
0.84
0.71
3.22
5
353
2.21
7
0
58.33
9
3.06
5.44
5.81
29.15
5.45
7.22
1.06
82
3
47
Male
130,279
0.61
6
15
6.46
5.14
0.79
2
1.86
5.42
7.6
8.51
71.39
100
0
0.78
0.5
0.47
0.86
0.12
7.42
19
464
0.25
5
1
162.98
5
4.41
7.67
5.24
33.04
1.43
7.5
2.43
76
8
26
Male
145,888
3.6
30
23
7.76
2.24
2.94
1
3.2
2.48
5.64
3.97
59.83
63.34
3.01
0.91
0.15
0.55
0.25
0.45
6.26
42
258
1.06
1
0
2,763.68
9
3.68
6.57
8.21
24.79
9.25
5.06
4.6
10
7
29
Female
59,846
1.41
30
5
6.83
0.33
0.34
1
1.32
5.68
5.32
9.2
76.65
68.87
1.27
0.26
0.19
0.64
0.84
0.46
5.01
8
119
2.2
3
0
301.54
3
2.11
5.26
6.65
26.52
3.07
7.79
1.83
49
4
48
Male
101,012
4.46
7
23
8.23
1.16
0.28
4
3.42
4.56
2.43
7.67
61.4
68.82
4.59
0.48
0.18
0.35
0.32
0.82
7.7
33
117
2.92
6
0
327.5
10
5.22
1.39
9.2
22.76
8.08
3.32
3.57
17
4
52
Other
100,662
6.12
25
5
10.26
2.14
3.53
1
7.89
4.95
4.87
7.97
56.78
69.08
5.74
0.26
0.59
0.17
0.66
0.84
4.22
15
181
0.03
8
1
694.94
4
4.56
4.41
4.33
29.47
9.79
8.28
6.64
35
8
16
Male
128,799
0.66
31
8
4.69
0.48
2.54
9
4.95
7.8
6.65
3.52
92.84
81.64
1.93
0.12
0.74
0.04
0.25
0.33
5.7
27
255
1.29
9
1
2,270.06
0
4.33
5.99
3.59
26.13
8.4
2.46
7.76
33
10
14
Female
54,077
3.54
11
22
4.44
0.53
3.91
6
8.18
5.59
4.49
6.23
82.47
70.52
1.11
0.92
0.12
0.55
0.6
0.42
8.54
27
263
1.08
4
1
291.52
1
4.5
2.4
3.26
20.47
7.66
0
2.74
82
9
18
Male
81,756
4.22
10
16
4.95
0.14
0.17
7
3.13
6.62
8.13
3.84
62.81
69.86
2.94
0.71
0.14
0.15
0.6
0.74
1.35
43
455
2.96
2
0
289.49
10
4.93
4.75
5.53
27.23
9.09
4.24
6.22
70
4
54
Female
51,680
5.03
5
13
5.77
2.59
0.01
10
4.89
3.41
3.44
5.1
45.31
73.98
3.22
0.67
0.13
0.48
0.33
0.8
3.64
0
451
2.62
10
1
516.83
6
4.14
5.13
8.68
25.52
6.4
6.87
3.42
33
5
16
Male
81,184
6.17
19
24
2.94
3.36
1.72
4
4.51
3.65
3.78
6.89
81.47
87.78
2.87
0.81
0.04
0.52
0.08
0.84
3.58
21
225
0.58
5
1
275.91
8
4.48
5.83
3.47
18.88
12.59
2.03
1.81
84
6
41
Male
60,181
2.53
19
5
8.05
1.28
0.07
7
4.7
3.59
6.02
5.1
80.26
54.98
2.26
0.54
0.05
0.57
0.37
0.45
6.51
41
385
2.52
1
0
1,145.54
4
3.55
4.98
5.89
22.92
5.9
0
5.84
0
5
30
Other
93,635
2.5
2
3
6.92
3.05
2.53
2
6.19
10
6.21
4.4
79.05
67.18
3.02
0.27
0.08
0.24
0.16
0.29
5.83
21
102
4.46
5
1
7.06
6
5.24
4.8
6.2
21.87
3.61
5.6
5.75
34
4
38
Female
36,292
4.71
20
22
8.11
1.13
0.79
8
5.6
4.37
6.32
6.11
87.93
57.9
3.93
0.6
0.16
0.27
0.64
0.16
3.11
32
232
5.56
2
1
960.27
5
1.77
4.17
7.74
21.42
13.82
8.9
2.1
51
10
56
Male
10,879
6.38
1
15
8.03
3.32
1.53
9
4.39
8.32
7.91
5.84
77.46
57.34
2.52
0.75
0.2
0.28
0.49
0.6
8.71
14
346
1.43
1
0
1,672.27
5
3.07
3.19
6.93
11.07
13.36
9.85
3.29
30
4
46
Female
88,268
3.2
26
5
5.57
0.68
0.15
4
6.31
6.75
7.29
7.87
64.47
64.1
1.76
0.67
0.41
0.65
0.36
0.32
5.69
47
320
1.45
5
0
681.24
6
7.01
5.1
1.84
24.55
4.18
2.79
5.76
78
3
22
Male
131,522
9.04
12
2
7.24
0.26
0.35
9
3.19
9.66
9.04
4.32
67.82
99.86
5.67
0.43
0.09
0.52
0.96
0.28
2.62
2
268
4.47
4
0
186.14
6
1.83
6.31
1.43
28.82
9.95
10
2.79
47
10
48
Female
77,675
5.21
28
12
7.22
1.35
0.5
3
1.28
5.41
7.41
6.81
86.86
47.05
3.89
0.65
0.31
0.32
0.59
0.85
8.57
29
153
4.18
6
1
569.65
5
5.83
5.81
8.74
24.15
6.27
7.47
4.76
97
2
26
Male
56,499
0.72
14
13
9.33
2.29
5.17
2
5.22
5.23
6.12
3.75
67.65
60.8
1.38
0.41
0.46
0.6
0.73
0.72
7.49
9
271
1.25
7
1
30.65
9
4.73
5.3
4.52
21.09
5.4
2.19
9.93
21
7
43
Female
145,479
2.45
17
21
8.11
2.47
1.52
8
2.77
5.34
7.19
9.21
78.4
81.64
0.83
0.48
0.36
0.47
0.49
0.65
6.18
30
466
0.95
8
1
560.52
6
5.67
5.69
6.28
22.37
4.98
10
0.25
6
3
27
Male
144,191
2.71
2
22
8.04
5.06
0.43
3
4.11
0.08
3.36
8.49
51.05
39.8
3.23
0.58
0.34
0.19
0.34
0.24
12.12
40
278
2.31
9
0
41.57
0
4.2
3.43
4.91
23.13
10.7
6.01
0.59
95
4
20
Female
8,408
3.01
34
15
6.3
2.51
0.18
9
0.64
5.21
5.45
1.78
59.52
55.69
2.46
0.58
0.43
0.39
0.91
0.64
7.6
41
258
2.92
0
0
286.11
2
6.42
7.02
6.33
27.52
4.58
4.21
0.59
52
7
26
Female
64,034
1.57
8
2
7.47
2.9
2.92
4
6.38
0
6.77
7.37
79.55
68.88
2.64
0.3
0.16
0.38
0.37
0.77
1.75
17
146
1.35
5
0
626.91
5
7.75
0.73
7.01
24.84
3.98
4.85
6.26
3
4
35
Male
92,892
4.42
25
23
8.24
2.59
4.87
4
7.17
6.64
7.61
4.85
54.49
79.76
3.26
0.43
0.19
0.35
0.22
0.83
9.26
14
217
0.63
0
0
441.1
7
6.8
5.69
3.25
25.32
8.79
6.42
4.4
62
8
52
Male
72,602
5.85
28
13
5.32
1.86
5.17
10
3.42
7.78
4.51
3.02
65.64
96.14
2.92
0.54
0.27
0.78
0.24
0.09
2.4
15
121
2.53
10
0
523.11
5
2.94
6.56
4.78
20.19
6.47
6.39
3.87
47
3
33
Male
8,648
3.37
15
21
7.52
2.45
2.32
2
8.19
3.03
0.31
4.18
100
58.9
1.3
0.5
0.14
0.31
0.23
0.76
7.04
32
48
3.31
0
0
1,187.8
2
6.96
5.27
8.61
23.4
5.75
3.88
2.93
11
9
28
Male
77,338
8.06
4
17
9.94
0.84
1.47
9
4.79
6.38
7.08
6.69
44.62
91.3
5.94
0.7
0.39
0.66
0.24
0.33
10.57
13
472
0.77
5
0
1,070.87
5
4.41
5.53
9.52
24.75
12.17
4.66
3.25
18
6
57
Female
100,230
5.21
27
16
7.98
1.15
0.45
10
6.94
5.99
8.5
6.78
84.53
79.49
2.82
0.4
0.32
0.16
0.81
0.24
8.41
4
229
2.24
8
0
960.53
6
4.13
5.2
6.6
21.5
8.95
4.99
3.17
24
10
30
Female
79,206
0.67
19
18
8.08
2.88
0.25
6
7.05
10
9.1
10
62.42
62.81
1.72
0.77
0.51
0.69
0.32
0.42
9.83
22
7
2.48
1
0
506.9
7
7.69
10
7.42
23.12
1.57
3.85
1.61
5
10
59
Female
113,726
0.48
13
15
7.79
1.66
0.79
4
2.65
6.37
5.97
5.39
56.9
71.45
0
0.58
0.2
0.3
0.14
0.4
3.38
39
326
3.55
4
1
17.16
1
10
6.54
7.64
27.44
1.35
5.29
5.76
51
9
36
Male
101,810
1.23
20
9
7.76
1.14
1.82
8
3.09
8.31
6.47
5.67
68.66
75.8
3.01
0.16
0.25
0.5
0.16
0.06
2.13
25
30
0.34
5
0
162.83
5
4.81
6.49
3
30.48
3.72
2.27
0
5
9
38
Female
98,692
13.22
14
24
3.96
4.67
0.46
1
3.98
8.71
7.35
5.27
64.41
63.29
8.83
0.4
0.43
0.31
0.75
0.33
7.67
47
18
0.66
7
0
135.57
8
1.63
2.85
8.07
27.19
18.16
4.4
2.92
48
3
37
Female
10,601
3.53
35
3
8.96
0.24
1.53
9
4.78
2.6
5.01
6.23
81.05
54.11
2.72
0.22
0.63
0.02
0.24
0.56
3.66
20
428
1.04
6
0
86.42
5
7.61
6.38
2.69
20.16
7.85
5.61
3.94
99
1
57
Male
40,857
6.51
16
0
5.9
1.38
0.84
6
2.02
8.13
7.22
5.35
67.34
63.05
5.9
0.74
0.4
0.17
0.8
0.48
11.75
19
219
0.63
0
1
961.76
3
0.17
3.56
6.1
20.42
6.68
6.36
3.67
86
8
53
Female
28,516
11.18
10
17
7.6
0.06
0.18
3
3.19
5.52
4.83
6.11
64.85
68.24
7.79
0.39
0.06
0.13
0.62
0.65
3.38
9
220
1.92
0
0
30.88
3
5.64
6.31
6.81
26.29
14.14
4.42
4.18
26
8
41
Male
36,352
5.05
31
16
10.37
0.97
1.82
8
6.63
8.33
7.96
4.28
85.75
73.95
2.73
0.04
0.09
0.14
0.87
0.97
11.48
2
109
0.66
4
1
418.59
8
2.35
9.87
5.58
23.78
8.99
6.75
4.26
76
4
27
Female
141,662
2.65
18
20
8.68
0.43
1.9
2
6.51
5.6
5.62
8.59
66.41
59.42
2.74
0.42
0.09
0.87
0.73
0.65
2.63
15
472
0.82
10
0
443.83
9
4.71
0.88
6.81
22.75
9.72
3.52
5.68
79
10
57
Female
8,118
9.92
37
5
6.51
0.35
6.79
10
2.76
5.15
6.79
7.49
68.45
70.17
5.17
0.13
0.58
0.29
0.86
0.59
7.74
4
196
0.97
1
1
1,226.34
2
4.97
5.09
7.35
25
16.81
5.11
3.32
57
1
13
Male
91,668
5.14
29
10
6.64
0.76
3.78
1
4.83
6.39
4.43
6.51
38.23
38.47
3.28
0.33
0.37
0.14
0.77
0.42
6.16
41
323
1.15
9
0
525.4
0
4.46
5.26
7.42
27.94
10.89
6.6
4.4
86
3
37
Male
69,542
3.52
24
3
5.74
1.94
0.05
4
3.43
8.83
5.51
7.18
77.69
79.36
1.25
0.87
0.18
0.81
0.53
0.8
13.91
23
447
0.35
8
1
621.29
10
1.3
5.23
1.54
25.06
8.05
5.97
3.87
6
9
19
Female
24,868
0.44
2
11
8.62
1.58
2.93
2
4.52
2.72
7.08
6.57
51.26
73.27
0.67
0.1
0.25
0.23
0.29
0.88
6.3
40
192
1.83
8
1
419.26
8
5
5.69
2.93
28.83
4.49
3.76
4.31
99
9
21
Female
147,960
16.47
12
20
9.59
3.21
0.44
10
6.63
1.54
10
4.91
81.97
88.43
10
0.34
0.33
0.69
0.77
0.88
3.59
11
458
0.47
3
1
2,241.97
2
3.6
6.72
8.14
17.82
23.24
4.18
4.32
22
8
36
Male
11,159
1.64
17
3
8.86
2.22
0.29
5
4.41
7.74
4.28
3.81
91.6
66.26
1.48
0.76
0.2
0.33
0.17
0.26
4.39
30
323
0.78
6
0
269.51
7
9.52
4.6
1.45
19.98
5.63
6.22
5.47
78
10
13
Male
144,530
5.85
13
9
7.9
0.77
0.53
2
6.39
6.14
3.17
6.44
100
67.71
4.77
0.53
0.39
0.52
0.55
0.47
1.26
47
481
0.26
1
1
1,221.33
8
6.8
3.7
8.91
31.35
8.77
6.75
5.78
36
7
56
Female
90,573
2.09
13
8
5.86
0.42
1.53
5
3.41
7.78
9.3
9.15
72.13
75.48
1.07
0.72
0.46
0.65
0.47
0.65
5.26
6
176
0.72
0
0
187.18
9
7.14
4.42
7.88
29.71
9.29
3.56
3.86
2
5
End of preview. Expand in Data Studio

The Gaming & Psychological Health Dataset is a large‑scale synthetic dataset containing 1 million records and 40 features. It represents individuals’ gaming habits, psychological health indicators, social environment, lifestyle behaviors, and physical health metrics.

This dataset is designed for machine learning research, behavioral analytics, mental health prediction, and benchmarking, enabling studies on the relationship between gaming behavior and mental well‑being.

Data Generation Methodology

  • Normal distributions for psychological metrics
  • Gamma distributions for time‑based behaviors
  • Beta distributions for proportional gaming activities
  • Exponential distributions for spending and lifestyle intensities
  • Uniform discrete sampling for categorical indicators

Weak correlations (e.g., gaming hours ↔ addiction level) approximate real‑world behavioral dependencies.

Potential Applications

  • Classification of gaming addiction
  • Mental health prediction models
  • Behavioral causal inference
  • Deep learning large‑scale training benchmarks
  • Social psychology simulations
  • Public health policy modeling
  • Reinforcement learning human‑behavior simulations

Limitations

  • Synthetic dataset; not derived from real individuals
  • Correlations approximate behavioral trends but are not clinically validated
  • Intended for algorithmic research, benchmarking, and simulation studies
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