Video Game Sales Analyzer

A Flask web application to analyze video game sales data which includes historical sales analysis, regional distribution of games, and machine learning-based sales predictions.

About The Project

This Video Game Sales Analyzer was developed as part of my journey to understand data analysis and web development. The project combines my passion for games with practical data science skills, creating a simple but effective interactive platform to explore historical video game sales trends.

Dataset

• Source: Video Games Sales Dataset from Kaggle
• Creator: Gregory Smith
• Contents: 16,500+ video games with sales data

Features:

• Historical sales analysis
• Regional sales distribution
• Sales prediction using Linear Regression

Tech Stack:

• Flask (Web Framework)
• SQLite (Database)
• Pandas (Data Processing)
• Matplotlib (Visualization)
• Scikit-learn (Machine Learning)

Prerequisites:

• Python 3.8 or higher
• pip (Python package installer)
• Git

Installation Guide:

1. Clone the Repository

git clone https://github.com/yourusername/video-game-sales-analyzer.git
cd video-game-sales-analyzer

2. Virtual Environment Setup Create Virtual Environment

python -m venv venv

Activate Virtual Environment For Windows:

venv\Scripts\activate

For macOS/Linux:

source venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Run the Application

flask run

The application will be available at http://localhost:5000