📊 MarketMetricsProject

MarketMetrics is a data-driven project designed to analyze product pricing trends across various categories and brands. The project combines SQL analytics with Python-based visualizations to uncover insights into product performance, brand competitiveness, and pricing distribution.

🔍 Features

• SQL queries for:

  1. Calculating average sale prices by category and brand
  2. Ranking top-priced products within each category
  3. Computing running averages for dynamic price tracking

• Jupyter Notebook analysis with:

  1. Cleaned and structured data exploration
  2. Graphical representations using Seaborn and Matplotlib
  3. Business insights derived from pricing and category-level trends

🛠 Technologies Used

• MySQL
• Python (Pandas, Seaborn, Matplotlib)
• Jupyter Notebook

📁 Files Included

• MarketMetrics.sql — SQL scripts for analytical queries
• MarketMetrics_Project.ipynb — Python notebook with data visualizations and insights