Video Game Sales Analysis

An interactive web dashboard for analyzing and visualizing video game sales data across multiple dimensions -- sales trends, genre performance, platform popularity, and regional market breakdowns.

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Features

• Data Upload & Processing: Load and parse video game sales datasets for analysis.
• Interactive Dashboard: Explore data through multiple chart types including trend lines, bar charts, bubble plots, radar charts, heatmaps, and treemaps.
• Regional Analysis: Compare sales performance across North America, Europe, Japan, and other regions.
• Genre & Platform Insights: Identify top-performing genres and platforms across different time periods.
• Exportable Reports: Download analysis results for offline use and presentations.

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Tech Stack

• Backend: Python, Flask
• Frontend: HTML5, CSS3, JavaScript
• Visualization: Chart.js / D3.js
• Data Processing: Pandas, NumPy

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Getting Started

1. Clone the repository:

   git clone https://github.com/UNSTOPBIL/video-game-sales-analysis.git
   cd video-game-sales-analysis

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   python backend/app.py

4. Open in browser: Navigate to http://localhost:5000

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Project Structure

video-game-sales-analysis/
|
|-- backend/              # Flask application & API routes
|   |-- static/           # CSS, JavaScript, and assets
|   |-- templates/        # HTML templates
|   |-- app.py            # Main application entry point
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|-- data/                 # Sales datasets (CSV)
|-- README.md             # Project documentation
|-- requirements.txt      # Python dependencies

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License

Distributed under the MIT License. See LICENSE for details.