Contained herein is an exploration of housing sale prices in King County, as well as an attempt to model them. This method yeilds an r squared of 90%.

• kc_house_data.csv - The primary dataset containing details and sale prices for houses sold in the King County area between 05/02/14--05/27/15.
• student.ipynb - Notebook containing EDA and modeling.
• School_Sites_in_King_County__schsite_point.csv - Spreadsheet containing information regarding each school in King County. From here.
• distances_to_schools_by_type.csv - Spreadsheet of distances to schools by types of school for each house in the kc_house_data.csv dataset.
• nearest_schools_by_type.csv - Spreadsheet containing nearest school name for each type of school in the School_Sites_in_King_County__schsite_point.csv dataset for each house in the kc_housing_data.csv dataset.
• Neighborhood_Centers_in_King_County__neighborhood_centers_point.csv - Spreadsheet containing information regarding central business districts in King County. From here.
• hoods_data.csv - Spreadsheet containing nearest neighborhood and the distance therefrom for each house in the kc_house_data.csv dataset.
• stepwise_result.npy - A numpy array of the names of columns that survived the culling of stepwise feature selection (i.e. p < 0.05).
• presentation.pdf - A presentation on the findings of this project.
• map.png - Image backdrop for map visualizations.