An interactive visualization project using Power BI, Tableau, and Excel, designed to explore patterns in student social media behavior and its impact on mental health, academic performance, and daily habits across regions and genders.
The Student Social Media Analysis Dashboard provides a multidimensional view of how students engage with social media. This project analyzes usage patterns, platform preferences, mental health scores, academic correlations, and demographic insights—enabling educators, researchers, and policymakers to understand social media’s influence on youth.
- 📊 Power BI – For building an analytical dashboard with performance and regional segmentation.
- 📉 Tableau – For visualizing trends in device usage, conflicts, and regional behavior.
- 📗 Microsoft Excel – Used for pivot-based insights and gender/regional comparisons.
- 💻 Jupyter Notebook – Machine Learning analysis of addiction and mental health (optional).
- 📁 File Formats –
.pbix,.twb,.xlsx,.ipynb
Source: Aggregated student survey data
The dataset includes:
- Age, Gender, Region
- Daily Social Media Usage Hours
- Most Used Platform
- Mental Health & Addiction Scores
- Academic Performance
- Device Preferences
- Purpose of Social Media Use
- Conflict Levels Over Social Media
Rising student dependence on social media platforms raises concerns about academic performance, mental well-being, and digital habits. Institutions need clear insights to guide interventions.
To deliver interactive visuals that:
- Track and compare addiction, study hours, and mental health.
- Segment insights by gender, age, region, and academic tier.
- Guide support strategies for balanced student digital engagement.
- 📈 Addiction Score by Age – Peaks at age 18, then declines.
- 🌎 Regional Addiction Heatmap – Identifies hotspot areas.
- 🧠 Mental Health Score by Gender – Comparison via donut chart.
- 📚 Study Time vs Performance – Better performance linked to more study hours.
- 🔍 Most Used Platform – Instagram leads, followed by WhatsApp and Facebook.
- 📊 Usage vs Academic Performance – Highest usage among students with poor performance.
- 🎯 Purpose of Use Pie Chart – Education, Socializing, Entertainment split.
- 📍 Interactive Filters – Slice data by gender and region.
- 🌐 Country Platform Popularity – Map view showing dominant platform by country.
- 🌍 Region-wise Student Count – North has the highest concentration.
- 📱 Device Usage Over Years – Mobile use rises significantly post-2023.
- 🧑🎓 Age Distribution Histogram – Most users are between 20–21.
⚠️ Conflicts Over Social Media – Males report more social conflicts.- 📊 Mental Health Trends – Compared by education level and sleep patterns.
- 📌 Digital Behavior Trends: Young students (18–21) are most at risk for addiction.
- 📉 Academic Alert: High social media usage correlates with lower academic outcomes.
- 🧠 Mental Health Awareness: Females show slightly higher addiction and mental health variance.
- 🎯 Platform-Specific Interventions: Instagram dominates—targeted campaigns could be more effective here.
- 💻 Device Strategy: Shift to mobile usage indicates a need for mobile-optimized interventions.
Social_Media_Analysis.pbix– Power BI dashboard fileSocial_Media_Analysis.twb– Tableau workbook fileSocial_Media_Analysis.xlsx– Excel-based dashboard and source datastudent_analysis.ipynb– Jupyter Notebook with ML analysisScreenshot_*.png– Visuals of each dashboard for quick reference
