Diwali Sales Analysis

📌 Project Overview

Diwali Sales Analysis is a data analysis project that explores sales trends during the Diwali festival. Using Python and Pandas, this project cleans, processes, and visualizes sales data to extract meaningful insights.

🗂 Dataset

The dataset contains information on:

• Customer demographics (Gender, Age Group, State)
• Product categories
• Purchase amounts
• Payment methods

🛠 Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook

📊 Analysis Performed

• Data Cleaning and Preprocessing
• Exploratory Data Analysis (EDA)
• Visualization of sales trends
• Insights into customer purchasing behavior

🚀 How to Run the Project

1. Clone the repository:

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

2. Navigate to the project directory:

   cd diwali-sales-analysis

3. Install dependencies:

   pip install -r requirements.txt

4. Open the Jupyter Notebook:

   jupyter notebook

5. Run the analysis notebook to see the insights.

📈 Key Findings

• Highest sales occurred in metropolitan cities.
• Male customers contributed more to total sales.
• Electronics and clothing were the most purchased categories.

📌 Future Enhancements

• Implement predictive modeling for sales forecasting.
• Integrate interactive dashboards using Power BI or Tableau.

🤝 Contributing

Feel free to contribute by opening issues or submitting pull requests.

📜 License

This project is licensed under the MIT License.

---

📩 For any queries, feel free to reach out!