🎮 Video Game Sales Analytics - Power BI Dashboard

📌 Project Overview

This project presents an interactive Power BI Dashboard that visualizes and analyzes global video game sales data. The dashboard provides insights into:

• Top-selling video game genres
• Global sales distribution across regions
• Best-selling publishers
• Popular gaming platforms
• Sales trends over the years

The dataset consists of 16,598 records, covering sales data from different gaming consoles, publishers, and genres worldwide.

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📊 Key Visualizations & Insights

🔹 1. Global Sales by Genre

• The Action genre dominates with 19.63% of total sales.
• Other top-selling genres include Sports, Shooter, and Role-Playing.

🔹 2. Popular Gaming Platforms

• The PlayStation (PS) series and Nintendo DS are among the most popular platforms.
• Other notable platforms include PS2, Wii, Xbox 360, and PS3.

🔹 3. Global Sales by Publisher

• Nintendo leads the market, followed by Electronic Arts (EA) and Activision in terms of global sales.
• Other major publishers include Sony Computer Entertainment, Ubisoft, and THQ.

🔹 4. Sales Over the Years

• A steady rise in video game sales from 1980 to the early 2000s, with peak sales around 2007-2009.
• North America and Europe contribute the most to global sales.

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📂 Files Included

File Name	Description
VG_Sales.pbix	Power BI dashboard file
VGSales_ss.png	Screenshot of the dashboard
readme.md	This documentation file

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📁 Folder Structure

VG_Sales_Analytics/
│-- data/
│   ├── VG_Sales.csv                 # Raw dataset
│   ├── cleaned_VG_Sales.csv          # Processed dataset
│-- scripts/
│   ├── data_cleaning.py              # Cleans and preprocesses the dataset
│   ├── exploratory_analysis.py        # Exploratory Data Analysis (EDA)
│   ├── sales_trends.py                # NEW: Sales trends analysis
│   ├── platform_analysis.py           # NEW: Platform-wise sales comparison
│   ├── forecasting.py                 # Improved: ML-based forecasting
│-- reports/
│   ├── insights_report.md            # Summary of insights & findings
│-- visualizations/
│   ├── VG_Sales.pbix                 # Power BI report
│   ├── VGSales_ss.png                 # Power BI dashboard screenshot
│-- .gitattributes                     # Ensures GitHub detects Python & CSV files
│-- README.md                          # Documentation

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## 🚀 How to Use
1. **Open Power BI**: Ensure you have **Power BI Desktop** installed.
2. **Load `VG_Sales.pbix`**: Open the `.pbix` file in Power BI.
3. **Explore the Dashboard**:
   - Use **filters** and **slicers** to customize views.
   - Hover over charts for more detailed insights.
4. **Analyze Trends**: Identify **best-selling platforms, publishers, and genres**.

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## 📈 Business Use Cases
This dashboard is useful for:
- **Game developers & publishers** to understand sales trends and market demand.
- **Investors & analysts** tracking gaming industry growth.
- **Retailers & marketers** planning sales and advertising strategies.

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## 🔧 Future Improvements
✅ Add **forecasting models** for future sales predictions.
✅ Include **individual game analysis** for top-selling titles.
✅ Enhance **regional breakdowns** for more granular insights.

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## 🏆 Credits & Acknowledgments
- **Dataset Source**: Video game sales dataset
- **Visualization Tool**: Microsoft Power BI

If you found this project useful, feel free to ⭐ the repository! 🚀🎮