A quantitative analysis of 45 S&P 500 market leaders across 9 major sectors. This project utilizes K-Means Clustering (Unsupervised Machine Learning) to identify risk/return regimes automatically. It features a Facet-Wrapped visualization to demonstrate how volatility profiles differ significantly between Defensive sectors (Utilities, Staples) and Growth sectors (Technology). Built using R, ggplot2, and quantmod.