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Global Student Social Media Usage & Addiction Insights

This Power BI dashboard titled “Global Student Social Media Usage & Addiction Insights” presents a comprehensive analysis of how students around the world use social media and how it impacts their academic performance, mental health, and overall lifestyle.

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How This Dashboard is Built in Power BI

🧩 1. Data Model

Data Sources : https://www.kaggle.com/datasets/adilshamim8/social-media-addiction-vs-relationships

  • Survey responses from students globally
  • Fields: Age, Gender, Academic Level, Country, Daily Usage Hours, Addiction Score, Mental Health Score, Platform Used, etc.

You should:

  • Load the data into Power BI (via Excel, CSV, or database).
  • Clean using Power Query (e.g., handling nulls, changing data types).
  • Create calculated columns (e.g., Addicted_Score_Category) or DAX measures (e.g., Average_Addicted_Score = AVERAGE(Students[Addicted_Score])).

🧮 2. Key Metrics and Cards (Left Column)

Visuals Used: Card Visuals
Purpose: Show overall averages to summarize dataset

Metrics:

  • Average Addicted Score: 6.44
  • Average Age: 20.66
  • Average Daily Usage: 4.92 hours
  • Average Number of Contacts: 2.85
  • Average Mental Health Score: 6.23
  • Average Sleep Hours: 6.87

📌 How to create:
Use a Card Visual and bind it to the respective Measure, e.g.:

Average_Age = AVERAGE(Students[Age])

📊 3. Bar & Column Charts

📌 Average Addicted & Mental Health by Academic Level

Visual Used: Clustered Column Chart
Shows:

  • Addicted Score vs Mental Health Score for High School, Undergraduate, Graduate

💡 Tip: Use a shared axis (Academic Level) and two measures on Y-axis.

📌 Average Addicted Score by Age

Visual Used: Bar Chart
Y-axis: Age
X-axis: Average Addicted Score
Insight: Younger students (e.g., age 18) have higher addiction scores.

📌 Average Addicted Score by Most Used Platform

Visual Used: Bar Chart
Y-axis: Platform (e.g., Instagram, YouTube, Messaging apps)
X-axis: Addicted Score
You can create a DAX measure to calculate:

Avg_Addicted_By_Platform = AVERAGE(Students[Addicted_Score])

📍 4. Geographical Map

📌 Average Addicted Score by Country

Visual Used: Filled Map (Choropleth Map)
Shows how average addiction score varies across countries

💡 Tip: Ensure Country is formatted as Country/Region in Power BI to map correctly.

🍩 5. Pie Charts

📌 Students Affected Academically by Social Media

Visual Used: Donut Chart
Shows:

  • 64.26% say YES
  • 35.74% say NO

Filter Field: Affects_Academics (Yes/No)

📌 Gender Distribution of Academic Impact

Visual Used: Donut Chart
Shows impact split between male and female students:

  • Female: 50.61%
  • Male: 49.39%

📈 6. Scatter/Line or Bar + Count

📌 Addicted Score by Hours of Usage

Visual Used: Bar Chart with Line Overlay

  • X-axis: Avg Daily Usage Hours (Grouped bins)
  • Bar: Count of Students
  • Line: Avg Addicted Score

Create a calculated column to bin hours and use dual-axis chart.

💕 7. Relationship Insights

📌 Avg Addiction & Mental Health by Relationship Status

Visual Used: Stacked Column/Clustered Column
Categories: Complicated, Single, In Relationship
Metrics:

  • Addiction Score
  • Mental Health Score

Helpful Measures:

Avg_Addicted_Rel = AVERAGE(Students[Addicted_Score])
Avg_Mental_Rel = AVERAGE(Students[Mental_Health_Score])

🧰 8. Filter Panel (Right Sidebar)

Filters/Slicers Added:

  • Academic Level
  • Affects Academics (Yes/No)
  • Country
  • Gender
  • Most Used Platform

📌 How to create: Use Slicer Visual for each categorical field, set to dropdown for space efficiency.

📦 Extra Tips for Building This Dashboard:

  • Use themes to match your design to the topic (youth-focused, vibrant).
  • Keep your layout balanced – KPIs on the left, visuals center/right.
  • Make sure tooltips are enabled for user interactivity.
  • Drill-through pages can add deep-dives per country or platform.