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📊 Sales Data Analysis using Python

📌 Project Overview

This project analyzes sales data to find trends and insights using Python.

🛠️ Technologies Used

  • Python
  • Pandas
  • Matplotlib
  • Seaborn

📁 Files

  • analysis.py
  • sales_data.csv

🚀 How to Run

  1. Install libraries: pip install pandas matplotlib seaborn

  2. Run: python analysis.py

    📌 Key Insights

  • Identified the top-selling product from the dataset
  • Found the region with highest sales
  • Calculated total sales revenue

These insights help businesses make data-driven decisions.

📸 Output

#1 (comment)

👤 Author

Rakesh

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Analyzing sales data using Python to extract insights and visualize trends using Pandas, Matplotlib,and Seaborn.

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