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This report provides an analysis and visualizations regarding the correlation between geographic, demographic, social, and political trends and COVID-19 cases and deaths.
Our project consists of three main components - an XGBoost machine learning model, a map, and Tableau visualizations. These three components are a powerful set of tools for Chevron stores.
In order to best gauge which city suits an individual we have created an interactive web application involving data/ML techniques to optimize which cities are most desirable from individual tastes.
