🌎 World Population Analysis Dashboard

Data Visualization & Analytics Project

The World Population Analysis Dashboard offers dynamic insights into global population trends using interactive visualizations and analytical modeling in Power BI. This project explores demographic changes, regional disparities, age-wise distributions, and gender-based population comparisons across countries. It transforms massive global population datasets into visually engaging and actionable insights for researchers, policymakers, and analysts.

World Population Dashboard

Project Highlights

  • Global Population Insights

    Explore country-wise and region-wise population statistics across different years and continents using Power BI visuals.

  • Gender Distribution

    Analyze male and female population ratios across countries and regions for demographic comparison and trends.

  • Age-Wise Distribution

    Visualize age group data using line and pie charts to understand age-based population trends globally.

  • Top Populous Countries

    Identify top 10 countries with the highest population using dynamic charts and geographic visuals.

  • Regional Disparities

    Compare regional differences in population size, growth rate, and demographics with clustered charts and maps.

  • ETL & Data Modeling

    Applied Extract-Transform-Load (ETL) in Power BI using Power Query and created a star schema for efficient data modeling.

About the Project

Population Dashboard Overview

Overview

The World Population Analysis Dashboard provides a unified view of global population statistics by integrating data from multiple sources and time periods. It allows users to analyze population growth, gender distribution, and regional differences using Power BI’s interactive visuals. The project showcases the ability to handle massive datasets through efficient modeling and ETL processes.

Process & Data Modeling

  • 📥 Extract: Data sourced from Excel files (1950–2100) and a text file mapping codes to countries and regions.
  • 🧹 Transform: Cleaned, unpivoted, and structured data using Power Query Editor.
  • 📊 Model: Designed a Star Schema with Dim Age, Dim Region, and Fact Population tables.
  • ⚙️ Load: Imported refined data into Power BI for analysis and visualization.
Population Data Model
Population Insights Visualization

Visualizations & Insights

  • 🌍 Map visuals display population of each country by year.
  • 📊 Clustered bar and column charts highlight top populous countries and regional totals.
  • 📈 Line charts reveal population growth by age group.
  • 🧮 DAX measures compute male and female population totals and growth percentages.
  • 🔎 Slicers and filters enable users to explore by country, region, and year interactively.

When:
2025

Mode:
Power BI Dashboard

Dataset:
Excel & Text Files (Global Population 1950–2100)

Focus:
Demographic & Population Analytics

Project Snapshots

Business Impact

📈 Enabled policymakers and demographers to monitor global population growth and disparities effectively.

🌍 Provided data-driven insights for regional development and demographic planning.

💡 Simplified understanding of large-scale population data through interactive Power BI storytelling.

Challenges & Learnings

⚙️ Managing and transforming large datasets (1950–2100) from multiple file formats efficiently.

🧩 Building accurate DAX measures for gender and age-wise analysis across decades.

🚀 Strengthened skills in Power Query, data modeling, and Power BI visual storytelling.

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