✔ Data Cleaning
✔ Exploratory Data Analysis
✔ Business KPIs
✔ Data Visualization
✔ Business Recommendations
✔ Python & Pandas
✔ Matplotlib & Seaborn
This mini project analyzes Amazon India sales data using Python to uncover meaningful business insights. The project focuses on cleaning raw sales data, performing exploratory data analysis (EDA), calculating key performance indicators (KPIs), creating visualizations, and providing actionable recommendations for business growth.
- Clean and preprocess the dataset.
- Analyze sales, profit, and customer behavior.
- Identify top-performing products, categories, and states.
- Find underperforming regions and products.
- Visualize business performance using charts.
- Generate data-driven business recommendations.
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
- Total Sales, Profit, and Orders
- State-wise Sales Analysis
- Category & Sub-category Performance
- Top 10 Products
- Top 5 Customers
- Payment Mode Analysis
- Monthly Sales Trend
- Business Insights & Recommendations
- Bar Charts
- Pie Charts
- Line Charts
- Horizontal Bar Charts
This project demonstrates how Python can be used for real-world business analytics by transforming raw sales data into meaningful insights that support strategic decision-making.
⭐ If you find this project useful, feel free to star this repository!