Data analysis project on Superstore sales using Python, Pandas, SQLite
Live Notebook (View without running code):
https://nbviewer.org/github/prajaktawaghmare13/superstore-analysis/blob/main/notebooks/sales_analysis.ipynb
Source Code (GitHub Repository): https://github.com/prajaktawaghmare13/superstore-analysis
This project analyzes Superstore retail sales data using Python, Pandas, Matplotlib, and SQLite. The objective is to identify sales trends, top-performing categories, customer segments, and seasonal patterns.
- Python (Pandas, Matplotlib)
- SQLite
- Jupyter Notebook
- Technology category generates the highest sales
- Consumer segment contributes the most revenue
- Sales peak during November–December