{"id":25789104,"url":"https://github.com/codehub001/python_diwali_sales_analysis","last_synced_at":"2026-05-05T11:37:53.215Z","repository":{"id":278857223,"uuid":"850646271","full_name":"codehub001/Python_Diwali_Sales_Analysis","owner":"codehub001","description":"Diwali Sales Analysis is a data analysis project that explores sales trends during the Diwali festival. 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Using Python and Pandas, this project cleans, processes, and visualizes sales data to extract meaningful insights.\n\n## 🗂 Dataset\nThe dataset contains information on:\n- Customer demographics (Gender, Age Group, State)\n- Product categories\n- Purchase amounts\n- Payment methods\n\n## 🛠 Technologies Used\n- Python\n- Pandas\n- NumPy\n- Matplotlib\n- Seaborn\n- Jupyter Notebook\n\n## 📊 Analysis Performed\n- Data Cleaning and Preprocessing\n- Exploratory Data Analysis (EDA)\n- Visualization of sales trends\n- Insights into customer purchasing behavior\n\n## 🚀 How to Run the Project\n1. Clone the repository:\n   ```sh\n   git clone https://github.com/your-username/diwali-sales-analysis.git\n   ```\n2. Navigate to the project directory:\n   ```sh\n   cd diwali-sales-analysis\n   ```\n3. Install dependencies:\n   ```sh\n   pip install -r requirements.txt\n   ```\n4. Open the Jupyter Notebook:\n   ```sh\n   jupyter notebook\n   ```\n5. Run the analysis notebook to see the insights.\n\n## 📈 Key Findings\n- Highest sales occurred in metropolitan cities.\n- Male customers contributed more to total sales.\n- Electronics and clothing were the most purchased categories.\n\n## 📌 Future Enhancements\n- Implement predictive modeling for sales forecasting.\n- Integrate interactive dashboards using Power BI or Tableau.\n\n## 🤝 Contributing\nFeel free to contribute by opening issues or submitting pull requests.\n\n## 📜 License\nThis project is licensed under the MIT License.\n\n---\n📩 For any queries, feel free to reach out!\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodehub001%2Fpython_diwali_sales_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodehub001%2Fpython_diwali_sales_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodehub001%2Fpython_diwali_sales_analysis/lists"}