id
int64 | age
int64 | gender
string | region
string | income_level
string | education_level
string | daily_role
string | device_hours_per_day
float64 | phone_unlocks
int64 | notifications_per_day
int64 | social_media_mins
int64 | study_mins
int64 | physical_activity_days
float64 | sleep_hours
float64 | sleep_quality
float64 | anxiety_score
float64 | depression_score
float64 | stress_level
float64 | happiness_score
float64 | focus_score
float64 | high_risk_flag
int64 | device_type
string | productivity_score
float64 | digital_dependence_score
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1
| 40
|
Female
|
Asia
|
High
|
High School
|
Part-time/Shift
| 3.54
| 45
| 561
| 98
| 34
| 7
| 9.1238
| 3.353627
| 9.926651
| 5
| 6.593289
| 8
| 23
| 0
|
Android
| 70
| 25.7
|
2
| 27
|
Male
|
Africa
|
Lower-Mid
|
Master
|
Full-time Employee
| 5.65
| 100
| 393
| 174
| 102
| 2
| 8.837517
| 2.908147
| 4
| 4
| 4.126926
| 8.1
| 35
| 0
|
Laptop
| 64
| 30.1
|
3
| 31
|
Male
|
North America
|
Lower-Mid
|
Bachelor
|
Full-time Employee
| 8.87
| 181
| 231
| 595
| 140
| 1
| 6.486743
| 2.889213
| 4
| 8
| 1.429139
| 7.6
| 15
| 0
|
Android
| 65.299301
| 40.6
|
4
| 41
|
Female
|
Middle East
|
Low
|
Master
|
Caregiver/Home
| 4.05
| 94
| 268
| 18
| 121
| 4
| 7.600504
| 3.097488
| 7.093357
| 9
| 4.995512
| 7.8
| 28
| 1
|
Tablet
| 80
| 36.684152
|
5
| 26
|
Female
|
Europe
|
Lower-Mid
|
Bachelor
|
Full-time Employee
| 13.07
| 199
| 91
| 147
| 60
| 1
| 5.197962
| 2.786098
| 7.028125
| 15
| 9.448757
| 4.2
| 70
| 1
|
Android
| 65.299301
| 48.4
|
6
| 37
|
Female
|
Middle East
|
Upper-Mid
|
Bachelor
|
Caregiver/Home
| 4.59
| 73
| 198
| 9
| 85
| 0
| 10.945226
| 2.797044
| 7.95475
| 4
| 1.317061
| 10
| 64
| 0
|
Android
| 63
| 21.2
|
7
| 18
|
Female
|
Europe
|
Lower-Mid
|
High School
|
Unemployed_Looking
| 4.95
| 119
| 553
| 61
| 188
| 4
| 8.422325
| 3.065118
| 7.510412
| 1
| 9.923969
| 7.7
| 15
| 0
|
iPhone
| 81
| 32.8
|
8
| 33
|
Female
|
Europe
|
Upper-Mid
|
Master
|
Full-time Employee
| 6.55
| 82
| 184
| 48
| 155
| 3
| 6.295213
| 2.952306
| 4.646849
| 8
| 1
| 8.6
| 70
| 0
|
Tablet
| 73
| 25.7
|
9
| 43
|
Female
|
South America
|
Lower-Mid
|
PhD
|
Full-time Employee
| 8.05
| 155
| 309
| 16
| 116
| 4
| 9.698407
| 3.065844
| 7.615005
| 18
| 2.866001
| 8.3
| 53
| 0
|
Android
| 60
| 39.9
|
10
| 41
|
Female
|
Asia
|
Low
|
High School
|
Full-time Employee
| 2.33
| 38
| 110
| 249
| 155
| 5
| 9.72272
| 3.187426
| 5.586164
| 0
| 1.976407
| 9.2
| 73
| 0
|
iPhone
| 70
| 10.8
|
11
| 47
|
Female
|
South America
|
Lower-Mid
|
High School
|
Caregiver/Home
| 7.89
| 129
| 212
| 31
| 37
| 4
| 6.864379
| 3.074677
| 6.797323
| 12
| 8.889004
| 4.1
| 59
| 0
|
iPhone
| 60
| 35.2
|
12
| 13
|
Female
|
Asia
|
Low
|
High School
|
Student
| 4.59
| 139
| 474
| 39
| 78
| 7
| 7.316849
| 3.382699
| 5
| 2
| 8.764771
| 2.1
| 27
| 0
|
Tablet
| 60
| 31.8
|
13
| 26
|
Male
|
Africa
|
Lower-Mid
|
Master
|
Full-time Employee
| 8.55
| 110
| 424
| 82
| 0
| 4
| 5.917848
| 3.106252
| 4
| 9
| 6.831298
| 8.8
| 27
| 0
|
Laptop
| 67
| 38.4
|
14
| 21
|
Female
|
Europe
|
Low
|
Bachelor
|
Student
| 3.99
| 72
| 211
| 178
| 102
| 4
| 6.049106
| 3.078083
| 6.234905
| 0
| 2.846489
| 9.9
| 51
| 0
|
Laptop
| 46
| 19.1
|
15
| 24
|
Female
|
Africa
|
Lower-Mid
|
Master
|
Full-time Employee
| 8.91
| 92
| 185
| 161
| 201
| 1
| 5.779038
| 2.760968
| 7.206864
| 9
| 1.223007
| 8.7
| 55
| 0
|
Android
| 48
| 32
|
16
| 24
|
Female
|
Africa
|
Low
|
Bachelor
|
Full-time Employee
| 9.74
| 180
| 1,195
| 240
| 88
| 7
| 5.203142
| 3.282592
| 8.207675
| 17
| 6.606128
| 6.418568
| 0
| 0
|
Android
| 59
| 66.9
|
17
| 24
|
Female
|
Africa
|
Upper-Mid
|
Bachelor
|
Student
| 5
| 114
| 155
| 19
| 102
| 3
| 9.617037
| 2.975624
| 5.589573
| 6
| 1
| 9.6
| 56
| 0
|
Tablet
| 55
| 23.7
|
18
| 25
|
Male
|
North America
|
Lower-Mid
|
Master
|
Full-time Employee
| 5.29
| 119
| 226
| 125
| 96
| 2
| 6.267765
| 2.926987
| 5
| 3
| 2.179854
| 8.8
| 43
| 1
|
Laptop
| 68
| 26.3
|
19
| 19
|
Male
|
Africa
|
Lower-Mid
|
Bachelor
|
Full-time Employee
| 6.89
| 184
| 263
| 41
| 119
| 5
| 8.227617
| 3.163676
| 4
| 10
| 6.790949
| 5.7
| 42
| 1
|
iPhone
| 56
| 36.3
|
20
| 15
|
Male
|
Europe
|
Low
|
High School
|
Student
| 12.66
| 203
| 703
| 176
| 128
| 6
| 5.198886
| 3.220171
| 4
| 18
| 9.707076
| 2.7
| 0
| 1
|
Tablet
| 51
| 62.7
|
21
| 21
|
Female
|
Africa
|
Lower-Mid
|
Bachelor
|
Part-time/Shift
| 6.89
| 204
| 499
| 92
| 111
| 5
| 6.050583
| 3.137827
| 7.485924
| 3
| 8.798729
| 9.4
| 30
| 1
|
Laptop
| 80
| 43.5
|
22
| 27
|
Male
|
Europe
|
Upper-Mid
|
High School
|
Student
| 7.3
| 141
| 525
| 72
| 64
| 2
| 8.25285
| 2.928179
| 4
| 10
| 1
| 8.3
| 35
| 0
|
iPhone
| 63
| 40.9
|
23
| 25
|
Female
|
Asia
|
Upper-Mid
|
Bachelor
|
Full-time Employee
| 4.63
| 112
| 51
| 173
| 168
| 2
| 6.847907
| 2.849226
| 4.634958
| 3
| 1.072755
| 8.5
| 62
| 0
|
Android
| 66
| 19.7
|
24
| 22
|
Female
|
Africa
|
Low
|
Bachelor
|
Part-time/Shift
| 6.24
| 128
| 357
| 449
| 80
| 4
| 7.984507
| 3.136701
| 7.92233
| 6
| 3.012997
| 7.6
| 19
| 0
|
Tablet
| 51
| 32.9
|
25
| 32
|
Female
|
North America
|
Upper-Mid
|
Bachelor
|
Full-time Employee
| 3.29
| 93
| 121
| 417
| 293
| 5
| 8.030438
| 3.029451
| 7.285603
| 0
| 1
| 9.2
| 39
| 0
|
Tablet
| 60
| 17.6
|
26
| 23
|
Female
|
Middle East
|
High
|
Master
|
Part-time/Shift
| 5.1
| 98
| 1,203
| 242
| 79
| 3
| 6.072299
| 3.044811
| 6.892297
| 2
| 10
| 0.4
| 0
| 0
|
Android
| 66
| 48.7
|
27
| 46
|
Female
|
Europe
|
Upper-Mid
|
Bachelor
|
Unemployed_Looking
| 6.28
| 145
| 558
| 50
| 16
| 4
| 7.018892
| 3.049666
| 7.296149
| 6
| 1
| 8.3
| 18
| 1
|
Laptop
| 53
| 41.6
|
28
| 44
|
Female
|
North America
|
Lower-Mid
|
Bachelor
|
Caregiver/Home
| 6.5
| 107
| 304
| 20
| 301
| 0
| 6.371517
| 2.782515
| 5.816794
| 8
| 7.295017
| 8.9
| 41.5986
| 0
|
iPhone
| 69
| 31.9
|
29
| 50
|
Male
|
Asia
|
Low
|
Bachelor
|
Caregiver/Home
| 7.88
| 183
| 594
| 12
| 147
| 1
| 7.74276
| 2.830463
| 4
| 12
| 4.309486
| 3
| 13
| 1
|
iPhone
| 59
| 49.8
|
30
| 35
|
Female
|
Africa
|
Low
|
Master
|
Caregiver/Home
| 3.01
| 47
| 356
| 119
| 0
| 5
| 9.426052
| 3.149111
| 7.038509
| 0
| 3.943071
| 8.2
| 38
| 0
|
Laptop
| 62
| 19.1
|
31
| 24
|
Male
|
South America
|
Lower-Mid
|
Bachelor
|
Part-time/Shift
| 6.95
| 133
| 103
| 94
| 133
| 5
| 8.177302
| 3.159522
| 4
| 13
| 1
| 8
| 67
| 1
|
Tablet
| 59
| 28.5
|
32
| 18
|
Male
|
Europe
|
Low
|
High School
|
Full-time Employee
| 3.39
| 93
| 309
| 112
| 137
| 5
| 8.340043
| 3.172262
| 4
| 4
| 6.864402
| 6.5
| 62
| 0
|
Laptop
| 65.299301
| 20.6
|
33
| 26
|
Female
|
Asia
|
Upper-Mid
|
High School
|
Full-time Employee
| 4.19
| 108
| 141
| 86
| 0
| 4
| 8.660723
| 3.035483
| 6.456507
| 8
| 1
| 9.7
| 78
| 0
|
Laptop
| 65
| 20.8
|
34
| 45
|
Male
|
North America
|
Low
|
Master
|
Part-time/Shift
| 0.98
| 19
| 85
| 3
| 118
| 1
| 9.232808
| 2.864011
| 4
| 1
| 1
| 2
| 86
| 0
|
Laptop
| 54
| 6.2
|
35
| 18
|
Female
|
Middle East
|
Low
|
Bachelor
|
Student
| 6.46
| 141
| 123
| 132
| 0
| 2
| 6.765648
| 2.837932
| 4.971281
| 13
| 5.102046
| 8.6
| 66
| 0
|
iPhone
| 73
| 27.5
|
36
| 22
|
Female
|
Asia
|
Low
|
Bachelor
|
Full-time Employee
| 3.75
| 113
| 456
| 78
| 74
| 4
| 6.684186
| 3.051658
| 5.483171
| 4
| 2.857873
| 9.9
| 27
| 1
|
iPhone
| 53
| 28.2
|
37
| 32
|
Male
|
Asia
|
Low
|
PhD
|
Unemployed_Looking
| 5.96
| 101
| 772
| 115
| 47
| 4
| 8.529182
| 3.093724
| 4
| 4
| 5.028738
| 9
| 9
| 0
|
Android
| 67
| 41
|
38
| 20
|
Male
|
North America
|
Lower-Mid
|
High School
|
Full-time Employee
| 2.19
| 61
| 480
| 71
| 103
| 4
| 6.245335
| 3.101676
| 5
| 0
| 1.900088
| 8.7
| 42
| 0
|
iPhone
| 45
| 20.7
|
39
| 41
|
Male
|
Asia
|
High
|
Master
|
Full-time Employee
| 4.54
| 58
| 172
| 34
| 187
| 5
| 7.548714
| 3.154849
| 4
| 2
| 5.891886
| 8.2
| 61
| 0
|
Android
| 52
| 19.9
|
40
| 13
|
Male
|
Africa
|
Low
|
High School
|
Student
| 6.3
| 152
| 361
| 148
| 233
| 7
| 8.010635
| 3.271909
| 4
| 0
| 4.654097
| 9.6
| 33
| 0
|
iPhone
| 67
| 33.9
|
41
| 35
|
Female
|
Europe
|
High
|
High School
|
Unemployed_Looking
| 9.89
| 171
| 231
| 61
| 13
| 2
| 7.075745
| 2.936991
| 5.257728
| 14
| 2.074808
| 7.3
| 62
| 0
|
Android
| 72
| 42.5
|
42
| 20
|
Female
|
South America
|
Low
|
Bachelor
|
Part-time/Shift
| 6.4
| 137
| 207
| 173
| 0
| 3
| 6.148762
| 2.938572
| 7.230149
| 3
| 4.990323
| 7.9
| 50
| 0
|
Laptop
| 67
| 29.6
|
43
| 40
|
Male
|
Africa
|
Lower-Mid
|
Master
|
Part-time/Shift
| 4.86
| 83
| 114
| 199
| 166
| 2
| 7.276885
| 2.979726
| 4
| 3
| 10
| 0.2
| 73
| 0
|
Tablet
| 64
| 20.8
|
44
| 22
|
Female
|
North America
|
Upper-Mid
|
Bachelor
|
Part-time/Shift
| 8.32
| 176
| 223
| 120
| 0
| 1
| 5.951503
| 2.808038
| 3.486715
| 10
| 3.188267
| 9.1
| 63
| 0
|
Laptop
| 62
| 38.1
|
45
| 49
|
Male
|
Europe
|
Low
|
Bachelor
|
Caregiver/Home
| 3.9
| 77
| 150
| 99
| 0
| 0
| 8.502375
| 2.655405
| 4
| 3
| 10
| 0.3
| 75
| 0
|
Tablet
| 50
| 20.2
|
46
| 23
|
Female
|
Europe
|
Upper-Mid
|
Bachelor
|
Full-time Employee
| 3.7
| 88
| 158
| 81
| 104
| 6
| 7.519196
| 3.15196
| 7.560517
| 3
| 4.655138
| 9.4
| 93
| 0
|
Laptop
| 58
| 18.3
|
47
| 27
|
Male
|
North America
|
Upper-Mid
|
Bachelor
|
Student
| 11.03
| 208
| 159
| 68
| 0
| 3
| 6.262353
| 2.974223
| 4
| 16
| 3.012163
| 8.7
| 65
| 0
|
Tablet
| 65.299301
| 46.1
|
48
| 42
|
Female
|
Middle East
|
High
|
Master
|
Caregiver/Home
| 4.71
| 108
| 268
| 433
| 0
| 4
| 9.186658
| 3.058916
| 4
| 0
| 9.927074
| 8.4
| 0
| 0
|
iPhone
| 76
| 36.684152
|
49
| 21
|
Female
|
Europe
|
Upper-Mid
|
Bachelor
|
Student
| 5.66
| 122
| 157
| 256
| 9
| 3
| 8.403072
| 3.070523
| 6.515636
| 3
| 1
| 8.5
| 79
| 0
|
Tablet
| 68
| 25.3
|
50
| 38
|
Male
|
Asia
|
High
|
Bachelor
|
Part-time/Shift
| 5.53
| 75
| 268
| 101
| 92
| 3
| 6.29638
| 2.920115
| 5
| 14
| 1
| 9.4
| 60
| 0
|
Tablet
| 47
| 36.684152
|
51
| 37
|
Female
|
South America
|
Lower-Mid
|
Bachelor
|
Unemployed_Looking
| 11.55
| 222
| 230
| 496
| 26
| 7
| 5.659953
| 3.293552
| 6.138339
| 16
| 6.63413
| 6.7
| 1
| 0
|
Android
| 68
| 51.1
|
52
| 23
|
Female
|
North America
|
Lower-Mid
|
Master
|
Unemployed_Looking
| 14.96
| 143
| 434
| 262
| 231
| 0
| 4.090027
| 2.679415
| 5.236916
| 16
| 10
| 2
| 24
| 1
|
Laptop
| 65.299301
| 56.6
|
53
| 21
|
Female
|
Europe
|
Low
|
Bachelor
|
Student
| 7.94
| 141
| 802
| 62
| 145
| 5
| 7.830058
| 3.107177
| 5.37784
| 13
| 1.759401
| 9.9
| 0
| 0
|
Android
| 58
| 49.1
|
54
| 14
|
Male
|
Middle East
|
Lower-Mid
|
High School
|
Student
| 9.06
| 152
| 165
| 256
| 63
| 4
| 7.821375
| 3.136124
| 4
| 14
| 4.855642
| 0.4
| 41.5986
| 0
|
Tablet
| 71
| 36.684152
|
55
| 15
|
Female
|
Middle East
|
Lower-Mid
|
High School
|
Student
| 9.94
| 177
| 104
| 180
| 0
| 4
| 6.412085
| 2.995108
| 9.261982
| 12
| 1
| 9.4
| 64
| 0
|
Tablet
| 75
| 38
|
56
| 27
|
Female
|
South America
|
Upper-Mid
|
Master
|
Part-time/Shift
| 14.38
| 200
| 476
| 148
| 46
| 4
| 4.659009
| 3.081277
| 5.106783
| 22
| 5.006263
| 0.9
| 16
| 0
|
iPhone
| 74
| 61.1
|
57
| 17
|
Male
|
Europe
|
Lower-Mid
|
High School
|
Student
| 6.76
| 146
| 182
| 166
| 0
| 3
| 7.211653
| 2.991686
| 4
| 4
| 1.157802
| 9.2
| 55
| 0
|
iPhone
| 57
| 36.684152
|
58
| 34
|
Male
|
Europe
|
Upper-Mid
|
Bachelor
|
Unemployed_Looking
| 2.45
| 39
| 545
| 46
| 182
| 4
| 8.388344
| 3.050716
| 4
| 0
| 2.872693
| 2.5
| 41.5986
| 0
|
Laptop
| 62
| 21.9
|
59
| 16
|
Male
|
Africa
|
Low
|
High School
|
Student
| 4.55
| 104
| 517
| 50
| 130
| 6
| 9.176369
| 3.237666
| 4
| 4
| 3.889766
| 9.9
| 36
| 0
|
Laptop
| 68
| 29.9
|
60
| 18
|
Male
|
Europe
|
Lower-Mid
|
Bachelor
|
Part-time/Shift
| 2.56
| 80
| 119
| 191
| 44
| 3
| 7.758271
| 2.914039
| 4
| 0
| 1
| 8.2
| 71
| 0
|
Laptop
| 75
| 13
|
61
| 30
|
Male
|
Asia
|
Upper-Mid
|
Bachelor
|
Full-time Employee
| 5.59
| 153
| 268
| 41
| 45
| 4
| 7.574544
| 3.134741
| 4
| 0
| 10
| 0.9
| 68
| 0
|
iPhone
| 60
| 36.684152
|
62
| 17
|
Male
|
North America
|
Lower-Mid
|
High School
|
Student
| 3.96
| 59
| 337
| 50
| 229
| 2
| 7.426578
| 2.988398
| 4
| 8
| 1
| 8.4
| 60
| 0
|
iPhone
| 63
| 20.3
|
63
| 19
|
Male
|
North America
|
Low
|
Bachelor
|
Part-time/Shift
| 2.78
| 92
| 264
| 258
| 62
| 5
| 8.156715
| 3.134165
| 4
| 0
| 1
| 8.6
| 42
| 0
|
Android
| 54
| 18.9
|
64
| 46
|
Female
|
Asia
|
Low
|
Master
|
Full-time Employee
| 8.23
| 199
| 404
| 39
| 135
| 5
| 7.558765
| 3.252965
| 7.809976
| 9
| 1
| 6.4
| 40
| 0
|
Laptop
| 53
| 46.9
|
65
| 24
|
Female
|
Asia
|
Upper-Mid
|
Bachelor
|
Student
| 13.65
| 311
| 176
| 332
| 124
| 0
| 6.224374
| 2.712435
| 9.874961
| 19
| 9.352622
| 6.7
| 55
| 1
|
Laptop
| 73
| 60.9
|
66
| 32
|
Female
|
Europe
|
Upper-Mid
|
Master
|
Part-time/Shift
| 6.28
| 103
| 379
| 120
| 212
| 3
| 8.296488
| 2.992062
| 5.198323
| 3
| 1
| 8.9
| 41
| 0
|
iPhone
| 79
| 31.6
|
67
| 33
|
Female
|
Europe
|
High
|
Bachelor
|
Full-time Employee
| 10.65
| 175
| 432
| 91
| 77
| 3
| 7.542667
| 3.043635
| 9.611415
| 16
| 5.090869
| 9.6
| 22
| 0
|
Tablet
| 64
| 49.9
|
68
| 32
|
Male
|
Asia
|
Upper-Mid
|
High School
|
Full-time Employee
| 7.93
| 187
| 423
| 186
| 72
| 3
| 8.039315
| 2.94909
| 4
| 6
| 1
| 9.9
| 36
| 0
|
Laptop
| 75
| 43.8
|
69
| 18
|
Female
|
Europe
|
Lower-Mid
|
Bachelor
|
Student
| 5.47
| 103
| 455
| 252
| 0
| 1
| 8.220905
| 2.743194
| 4
| 7
| 7.171132
| 7.6
| 13
| 0
|
Android
| 65.299301
| 30.5
|
70
| 50
|
Female
|
South America
|
Lower-Mid
|
Bachelor
|
Full-time Employee
| 5.05
| 38
| 272
| 71
| 76
| 2
| 9.206381
| 2.81157
| 9.036648
| 7
| 1
| 8.4
| 57
| 0
|
Android
| 59
| 22.6
|
71
| 29
|
Female
|
Asia
|
Upper-Mid
|
Bachelor
|
Full-time Employee
| 2.33
| 106
| 591
| 75
| 175
| 6
| 7.852483
| 3.314736
| 4.689862
| 2
| 7.708833
| 8.5
| 6
| 0
|
Laptop
| 65.299301
| 27.8
|
72
| 46
|
Male
|
Asia
|
Upper-Mid
|
Bachelor
|
Part-time/Shift
| 12.74
| 247
| 273
| 203
| 170
| 4
| 6.134635
| 3.025474
| 4
| 20
| 5.913954
| 5.8
| 29
| 1
|
iPhone
| 80
| 57.6
|
73
| 33
|
Male
|
Middle East
|
High
|
High School
|
Part-time/Shift
| 4.98
| 109
| 206
| 75
| 218
| 0
| 8.346253
| 2.7231
| 4
| 4
| 5.280804
| 6.9
| 76
| 0
|
iPhone
| 65
| 25
|
74
| 31
|
Male
|
Europe
|
Low
|
PhD
|
Full-time Employee
| 4.22
| 107
| 195
| 114
| 13
| 5
| 8.261186
| 3.076171
| 5
| 4
| 1.845822
| 6.418568
| 66
| 0
|
Laptop
| 81
| 22.2
|
75
| 22
|
Female
|
Europe
|
Upper-Mid
|
Bachelor
|
Full-time Employee
| 7.88
| 179
| 131
| 168
| 52
| 4
| 5.537073
| 3.099342
| 5.60867
| 8
| 1.111772
| 8.5
| 46
| 0
|
Android
| 39
| 35.7
|
76
| 24
|
Female
|
Europe
|
Low
|
Bachelor
|
Student
| 5.64
| 111
| 254
| 262
| 139
| 4
| 9.182695
| 3.012847
| 7.54133
| 6
| 9.890389
| 5.1
| 63
| 0
|
Tablet
| 65.299301
| 26.9
|
77
| 50
|
Male
|
North America
|
Lower-Mid
|
Bachelor
|
Full-time Employee
| 8.36
| 206
| 186
| 0
| 81
| 4
| 8.780486
| 3.027362
| 4
| 16
| 2.896086
| 9.7
| 64
| 0
|
Tablet
| 66
| 42.3
|
78
| 33
|
Female
|
Africa
|
Upper-Mid
|
High School
|
Full-time Employee
| 4.69
| 103
| 214
| 54
| 134
| 2
| 8.3108
| 2.907132
| 6.400808
| 5
| 1
| 8
| 67
| 1
|
Laptop
| 62
| 24.1
|
79
| 23
|
Male
|
Asia
|
Low
|
Bachelor
|
Student
| 6.7
| 169
| 151
| 82
| 184
| 1
| 8.695588
| 2.759069
| 4
| 6
| 3.2056
| 8.3
| 55
| 0
|
Laptop
| 66
| 31.8
|
80
| 32
|
Female
|
North America
|
Lower-Mid
|
Bachelor
|
Unemployed_Looking
| 4.35
| 102
| 462
| 588
| 293
| 5
| 9.853525
| 3.122881
| 6.664223
| 8
| 5.877771
| 9.6
| 0
| 0
|
Tablet
| 45
| 29.9
|
81
| 19
|
Female
|
Middle East
|
Low
|
Bachelor
|
Student
| 5.41
| 126
| 560
| 246
| 84
| 2
| 8.461322
| 2.962266
| 6.639206
| 8
| 5.086309
| 6.2
| 12
| 0
|
iPhone
| 63
| 35.3
|
82
| 47
|
Male
|
Africa
|
Upper-Mid
|
Bachelor
|
Caregiver/Home
| 8.8
| 217
| 217
| 20
| 91
| 7
| 7.721897
| 3.312992
| 5
| 12
| 2.757798
| 7.4
| 75
| 0
|
Laptop
| 69
| 44.7
|
83
| 22
|
Female
|
Europe
|
Low
|
Bachelor
|
Unemployed_Looking
| 3.38
| 49
| 73
| 73
| 62
| 3
| 7.181162
| 2.978567
| 6.391041
| 5
| 5.064861
| 0
| 83
| 0
|
Tablet
| 80
| 11.3
|
84
| 15
|
Female
|
Europe
|
Lower-Mid
|
High School
|
Student
| 3.61
| 65
| 529
| 182
| 102
| 4
| 8.326906
| 3.062668
| 4.227989
| 2
| 2.881165
| 8.7
| 21
| 0
|
Tablet
| 60
| 24.8
|
85
| 46
|
Female
|
South America
|
Upper-Mid
|
PhD
|
Part-time/Shift
| 12
| 278
| 328
| 44
| 90
| 1
| 5.417204
| 2.792814
| 5.947377
| 16
| 8.20321
| 5.4
| 56
| 1
|
Laptop
| 65.299301
| 60.6
|
86
| 41
|
Female
|
Europe
|
Lower-Mid
|
PhD
|
Part-time/Shift
| 5.49
| 143
| 55
| 19
| 39
| 4
| 7.878293
| 3.151733
| 5.415904
| 6
| 9.889663
| 1.6
| 71
| 0
|
Android
| 60
| 26.2
|
87
| 22
|
Male
|
Africa
|
Low
|
Bachelor
|
Part-time/Shift
| 6
| 158
| 288
| 207
| 228
| 0
| 7.055442
| 2.691779
| 4
| 8
| 1
| 8.1
| 62
| 0
|
Laptop
| 74
| 32.4
|
88
| 23
|
Female
|
North America
|
Lower-Mid
|
Bachelor
|
Student
| 7.63
| 173
| 320
| 49
| 115
| 2
| 8.342519
| 2.902702
| 7.402066
| 11
| 8.042292
| 8.6
| 65
| 0
|
iPhone
| 68
| 38.6
|
89
| 28
|
Female
|
Europe
|
High
|
Bachelor
|
Part-time/Shift
| 5.73
| 175
| 436
| 53
| 139
| 0
| 7.229126
| 2.738138
| 4
| 6
| 5.303383
| 8.2
| 35
| 0
|
Laptop
| 60
| 38
|
90
| 20
|
Male
|
North America
|
Lower-Mid
|
Bachelor
|
Part-time/Shift
| 4.65
| 84
| 286
| 509
| 74
| 1
| 6.721488
| 2.862709
| 4
| 0
| 9.205372
| 4.7
| 29
| 1
|
Tablet
| 70
| 22.9
|
91
| 16
|
Female
|
Middle East
|
Lower-Mid
|
High School
|
Student
| 3.31
| 112
| 800
| 106
| 246
| 2
| 7.122163
| 2.947314
| 6.650812
| 7
| 9.142537
| 9.5
| 0
| 0
|
Tablet
| 66
| 34.9
|
92
| 23
|
Female
|
South America
|
Lower-Mid
|
Master
|
Student
| 10.06
| 203
| 138
| 298
| 70
| 0
| 8.367232
| 2.730786
| 6.536336
| 14
| 1
| 9.2
| 57
| 1
|
iPhone
| 75
| 42.1
|
93
| 22
|
Female
|
Europe
|
Low
|
High School
|
Full-time Employee
| 5.49
| 139
| 210
| 160
| 119
| 5
| 7.186156
| 3.146343
| 6.898509
| 7
| 1
| 9
| 72
| 0
|
Laptop
| 58
| 36.684152
|
94
| 19
|
Male
|
Europe
|
Low
|
Bachelor
|
Student
| 4.06
| 78
| 141
| 107
| 52
| 2
| 7.560683
| 2.908582
| 4
| 7
| 1.111807
| 9.4
| 53
| 0
|
Tablet
| 62
| 17.3
|
95
| 33
|
Male
|
Asia
|
Lower-Mid
|
Master
|
Full-time Employee
| 13.45
| 270
| 292
| 123
| 0
| 3
| 7.272793
| 2.858433
| 4
| 14
| 10
| 0.3
| 48
| 1
|
Laptop
| 61
| 61.1
|
96
| 24
|
Male
|
Europe
|
Low
|
Master
|
Student
| 6.8
| 211
| 100
| 40
| 111
| 3
| 7.989388
| 2.892591
| 4
| 11
| 9.987032
| 0
| 74
| 0
|
Android
| 50
| 34.9
|
97
| 29
|
Male
|
South America
|
Low
|
High School
|
Part-time/Shift
| 10.09
| 246
| 302
| 373
| 149
| 5
| 7.740628
| 3.101556
| 4
| 18
| 1.879196
| 7.7
| 42
| 0
|
Tablet
| 68
| 50.8
|
98
| 41
|
Male
|
Asia
|
Low
|
Bachelor
|
Part-time/Shift
| 5.34
| 70
| 230
| 157
| 146
| 3
| 7.067563
| 2.94396
| 5
| 4
| 6.110832
| 8.8
| 35
| 0
|
Tablet
| 68
| 23.8
|
99
| 19
|
Male
|
South America
|
Lower-Mid
|
Bachelor
|
Full-time Employee
| 14.01
| 190
| 557
| 302
| 86
| 4
| 6.152393
| 2.991961
| 5
| 14
| 9.924496
| 2.1
| 0
| 1
|
Tablet
| 65
| 60.9
|
100
| 16
|
Female
|
Africa
|
Low
|
High School
|
Student
| 5.12
| 101
| 270
| 86
| 239
| 7
| 6.887138
| 3.329058
| 7.44856
| 5
| 1
| 10
| 74
| 0
|
Android
| 63
| 24.8
|
End of preview. Expand
in Data Studio
🌐 Digital Habits and Mental Health
Behavioral and Digital Wellbeing Dataset (2025)
A synthetic dataset exploring how digital lifestyles shape mental wellbeing — linking screen time, phone use, sleep patterns, and psychological factors such as stress, focus, and happiness.
Includes 3,500 fully synthetic records and 24 research-inspired features, designed for behavioral analytics, machine learning, and explainable AI.
🔎 Important Note on Scoring
Psychological and behavioral indicators
(e.g., anxiety_score, depression_score, stress_level, happiness_score, focus_score, productivity_score, digital_dependence_score)
are generated as continuous synthetic scores modeled on a broad 0–100 range, not fixed 0–10 Likert items.
This provides richer variance and enhances suitability for ML models and interpretability techniques.
📘 Dataset Overview
| Field | Description |
|---|---|
| File name | Data.csv |
| Rows | 3,500 |
| Columns | 24 |
| Target | high_risk_flag |
| Type | Tabular (Synthetic) |
🧠 Feature Groups
Demographics
age, gender, region, income_level, education_level
Digital Behavior
device_hours_per_day, phone_unlocks, notifications_per_day,social_media_hours, daily_screen_time, study_time, work_hours_per_day
Mental Health Indicators
stress_level, anxiety_score, depression_score,happiness_score, focus_score, productivity_score, sleep_quality
Additional Behavioral Metrics
digital_dependence_score, risk_exposure_score
Target
high_risk_flag — binary wellbeing-risk indicator (0 = low, 1 = high)
🎯 Target Definition
The target variable high_risk_flag identifies individuals with elevated wellbeing risk.
It is computed through a composite scoring process blending:
- High digital engagement (screen time, unlocks, notifications)
- Elevated stress/anxiety
- Low focus or happiness
- Behavioral intensity patterns
Distribution: 15–20% high-risk, aligned with behavioral research estimates.
🚀 Example Usage
from datasets import load_dataset
dataset = load_dataset("TarekMasryo/digital-habits-mental-health")
df = dataset["train"].to_pandas()
🔬 Research & Applications
- Predict digital wellbeing risk
- Correlate stress, sleep, and screen exposure
- Build explainable AI models (SHAP / LIME)
- Behavioral segmentation and pattern analysis
- Threshold tuning and calibration for decision systems
🧩 Reproducibility
- No missing or duplicate values
- Deterministic synthetic generation
- Fully ML-ready schema
- Compatible with Kaggle, Colab, and Jupyter
🧭 Ethical Considerations
This dataset is synthetic and intended for educational and research purposes only —
not for clinical, diagnostic, or therapeutic use.
📚 Citation
Please cite the dataset URL on Hugging Face and the license below when using this data.
📜 License
CC BY 4.0 (Attribution Required)
Free to use, share, and modify with proper attribution.
- Downloads last month
- 250