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A Multiple Centrality Assestment of different US cities. The code included is part of the data analysis process of the thesis: "Decoding City Network: Exploring Urban Structure and Spatial Event Interplay Through Multiple Centrality Assessment"
Capstone project for the Flatiron School's Immersive Data Science Bootcamp program. Uses time series modeling to predict car accidents in New York City, separated by borough.
Using geospatial data, we explore whether the location of popular clubs and bars in San Diego County is related to traffic collisions reported between 2015 and 2019.