SQL-based analysis of smartphone sales data to extract insights on pricing, discounts, ratings, and features for business decision-making.
-
Updated
Aug 27, 2025
SQL-based analysis of smartphone sales data to extract insights on pricing, discounts, ratings, and features for business decision-making.
This project analyzes Netflix's content library using SQL. It explores content type distribution, rating trends, country-wise content availability, and genre classification to extract meaningful insights from Netflix data for better analysis.
Target product reviews data extractor
A comprehensive data science project analyzing 20,000+ e-commerce customer ratings and reviews. Demonstrates end-to-end analytics from data cleaning to business insights, revealing key patterns in customer behavior, product performance, and rating trends.
Add a description, image, and links to the rating-analysis topic page so that developers can more easily learn about it.
To associate your repository with the rating-analysis topic, visit your repo's landing page and select "manage topics."