Predicting sales volume for different product types using multiple regression and analyzing the impact customer reviews have on sales.
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Updated
May 11, 2021 - R
Predicting sales volume for different product types using multiple regression and analyzing the impact customer reviews have on sales.
Codes for food store presence, density and popularity predictor. Merges census tract-level demographic data from ACS, neighborhood amenities from heterogenous sources, and Point of Interest (POI) data from anonymized cellphone GPS ‘pings’ to identify food retailer location and foot traffic information.
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