# A tibble: 6 × 18
student_id age gender study_hours_per_day sleep_hours phone_usage_hours
<dbl> <dbl> <chr> <dbl> <dbl> <dbl>
1 1 23 Female 4.35 3.63 3.38
2 2 20 Male 6.14 6.58 5.48
3 3 29 Female 4.98 3.26 4.83
4 4 27 Female 3.19 4.58 10.1
5 5 24 Male 7.67 6.21 3.02
6 6 29 Other 7.18 3.52 4.02
# ℹ 12 more variables: social_media_hours <dbl>, youtube_hours <dbl>,
# gaming_hours <dbl>, breaks_per_day <dbl>, coffee_intake_mg <dbl>,
# exercise_minutes <dbl>, assignments_completed <dbl>,
# attendance_percentage <dbl>, stress_level <dbl>, focus_score <dbl>,
# final_grade <dbl>, productivity_score <dbl>
Student Productivity and Digital Distraction
Work in Progress
Students
I’ve acquired this free data set named Student Productivity & Digital Distraction Dataset from Mansehaj Preet in kaggle.