This project analyzes how government interventions, like school closures and workplace restrictions, influenced COVID-19 case trends. Through data cleaning, exploratory analysis, and hypothesis testing (T-tests, ANOVA), we identified key measures that significantly reduced cases, emphasizing data-driven decision-making in public health.