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Sales data analysis & visualization using Python, Pandas, Matplotlib, and Seaborn

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Sales Analysis — Mini Project

Highlights

Sales dataset analysis: EDA, cleaning, product & region insights, and an exportable Excel report.

Tech Stack

Python, Pandas, Seaborn, Matplotlib, Jupyter Notebook

How to run (local)

  1. git clone https://github.com/Neeraj-Chaurasiya/sales-analysis.git
  2. python -m venv venv && source venv/bin/activate # Windows: venv\Scripts\activate
  3. pip install -r requirements.txt
  4. jupyter lab → open analysis.ipynb

Files

  • analysis.ipynb — notebook with step-by-step EDA & visuals
  • data/ — small sample dataset
  • images/ — screenshots of charts

Key Insights

  • Total revenue: ₹424000.0
  • Top product by revenue: Laptop
  • Region with highest sales: East

Demo

Product sales chart Region sales chart

License & Contact

MIT · [email protected]

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Sales data analysis & visualization using Python, Pandas, Matplotlib, and Seaborn

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