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Sales Data Analysis Project

Project Overview

This project analyzes sales data to provide insights into sales performance by region, product category, and month. It includes Python-based analysis and SQL queries.

Folder Structure

  • data/ - Contains the sales CSV file
  • notebooks/ - Python Jupyter notebook for analysis
  • sql/ - SQL queries for analyzing the sales data

Python Analysis

  • Data loading and cleaning
  • Sales by region (bar chart)
  • Monthly sales trend (line chart)

SQL Analysis

  • Total sales by region
  • Total profit by category
  • Top 5 products by sales
  • Monthly sales trend
  • Orders with profit < 0

Technologies Used

  • Python (pandas, matplotlib)
  • SQL
  • Jupyter Notebook

How to Run

  1. Open notebooks/sales_analysis.ipynb in VS Code or Jupyter Notebook
  2. Install required Python packages: pandas, matplotlib
  3. Run each cell to see the analysis and charts
  4. SQL queries can be executed in any SQL database after importing the CSV

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Sales Data Analysis using Python (Pandas) and SQL

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