This project analyzes common ingredients across five major skincare product categories—Cleanser, Toner, Moisturiser, SPF, and Serum—using a dataset of product ingredients. It identifies the top ingredients within each category and explores frequent ingredient pairings to reveal formulation patterns. The analysis aims to provide insights into product development trends and help consumers understand typical ingredient combinations in skincare. Data sourced from a public Kaggle dataset.