🛍️ Sales Data Analysis for a Retail Store

📌 Project Overview

This project analyzes retail sales data to extract actionable business insights. It answers key questions such as the best month for sales, top-performing cities, optimal advertisement timing, and most frequently sold product combinations.

The analysis is done using Python, with Pandas for data manipulation and Matplotlib/Seaborn for visualization.

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🧰 Tools & Libraries Used

• Python
• Jupyter Notebook
• Pandas
• Matplotlib
• Seaborn

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🚀 How to Run the Project

1. Clone this repository

   git clone https://github.com/Gireeshs02/sales-data-analysis.git
   cd sales-data-analysis

2. Install Dependencies

   pip install -r requirements.txt

3. Run Jupyter Notebook

   jupyter notebook

   Open the notebook file and run all the cells to see the analysis.

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🤝 Contributing

Contributions are welcome! Feel free to open issues, submit pull requests, or suggest improvements.

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📜 License

This project is licensed under the MIT License - see the LICENSE file for details.