Diwali Sales Data Analysis Using Python

Table of Contents

• Project Overview
• Installation
• Contributing

Project Overview

This project focuses on analyzing Diwali sales data using Python's data manipulation and visualization libraries - pandas, matplotlib, and seaborn. By leveraging these tools, the project provides insights into sales trends, customer behavior, and more, offering valuable business insights for the festive season.

The analysis covers:

• Exploratory Data Analysis (EDA) of Diwali sales data
• Visualizing sales trends and patterns using line plots, bar charts, and more
• Understanding customer preferences and purchasing behavior during the Diwali season

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/yourusername/diwali-sales-analysis.git

2. Install the required Python packages using pip:

   pip install pandas matplotlib seaborn

Contributing

Contributions are welcome! If you have ideas for improvements or want to add more questions, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature: git checkout -b feature-new-question
3. Commit your changes: git commit -m 'Add a new question'
4. Push to the branch: git push origin feature-new-question
5. Submit a pull request.