Skip to content

Latest commit

 

History

History
63 lines (52 loc) · 1.62 KB

README.md

File metadata and controls

63 lines (52 loc) · 1.62 KB

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!