Cleveland Neighborhoods, Venues, and Median Home Values
Applied Data Science Capstone Lucas Gagne December 2019 Assigned by Coursera Please refer to my Jupyter Notebook to see the code and dataframes mentioned. Please refer to my Report for a downloadable pdf version of this post. Introduction In this project, we plan to leverage location and median home value estimate data in Cleveland, Ohio from Zillow and Foursquare API to determine any relationship between venues and the values of nearby homes. This relationship is useful to city planners in determining zoning and its effect on home prices, as well as to commercial enterprises and the ideal locations for their businesses. Data First, Cleveland neighborhood data was pulled from Zillow. The data was parsed into a dictionary from the original XML. The dictionary was combed through to create a dataframe with the name, latitude, longitude, and 'Zindex' (median home value estimate) of each neighborhood. Neighborhoods without 'Zindex' estimates wer...