Where Hurricanes Hit Hardest: A County-Level Analysis with Python

An analysis is performed to determine which U.S. counties are most frequently impacted by hurricanes. Using Python libraries such as Tropycal, GeoPandas, and Plotly, the project combines historical hurricane track data with county boundary shapefiles. The process involves identifying every instance a hurricane track intersects a county, counting these unique events, and visualizing the results. The final output is an interactive choropleth map that highlights hurricane hotspots, such as coastal Louisiana, central Florida, and the Carolina coastlines, providing valuable insights for risk assessment in industries like insurance.