Projects
Sephora Reviews
Data analysis · Wesleyan · Spring 2025
I analyzed 5,000+ Sephora product reviews to explore how ratings vary with brand, product category, and price.
- Product reviews analyzed
- 5,000+
Method
I used Python with pandas and NumPy for the analysis, and seaborn and Matplotlib to visualize the comparisons, including by reported skin tone and skin type where reviewers gave them. The result was a report with tables and graphics describing patterns in the ratings.