Name: Students Distraction & Social Media Addiction
Creator: Kaggle
License: https://opendatacommons.org/licenses/pddl/1.0/

About this Dataset

Students Distraction & Social Media Addiction

This dataset examines the impact of social media on students' study, considering their mental health. It includes responses from 705 students from several countries. This dataset tells how much students use social media daily and whether it affects their academic performance. This also includes which social media platforms are most used by students

📊 Quick Info

705 students
10+ features (usage hours, addiction score, sleep, study time)
Clean, ready-to-analyze CSV
Suitable for education, psychology, data analysis, and machine learning

🎯 Purpose

The main goal is to explore how social media usage influences students’:

Academic performance 📚
Sleep quality 😴
Study habits and attention levels 🧠

This dataset is ideal for anyone studying the link between screen time and productivity among students.

💡 Suggested Uses

Exploratory Data Analysis (EDA)
Visualization Projects
Machine Learning (classification/regression)
Correlation studies on lifestyle and performance

Tables

Students Social Media Addiction

@kaggle.rehan497_students_social_media_addiction.students_social_media_addiction

18.33 kB
705 rows
13 columns

CREATE TABLE students_social_media_addiction (
  "student_id" BIGINT,
  "age" BIGINT,
  "gender" VARCHAR,
  "academic_level" VARCHAR,
  "country" VARCHAR,
  "avg_daily_usage_hours" DOUBLE,
  "most_used_platform" VARCHAR,
  "affects_academic_performance" VARCHAR,
  "sleep_hours_per_night" DOUBLE,
  "mental_health_score" BIGINT,
  "relationship_status" VARCHAR,
  "conflicts_over_social_media" BIGINT,
  "addicted_score" BIGINT
);