Cal Poly SLO - DATA 301 Project
Creates a model that can predict the number of Starbucks stores in a given location based on regional household income data.
Starbucks Locations Worldwide (2017) - https://www.kaggle.com/starbucks/store-locations
US Househole Income Statistics (2017) - https://www.kaggle.com/goldenoakresearch/us-household-income-stats-geo-locations
US Census Demographic Data (2017) - https://www.kaggle.com/muonneutrino/us-census-demographic-data
US Census County Population (2017) - https://www2.census.gov/programs-surveys/popest/datasets/2010-2017/cities/totals/sub-est2017_all.csv
United States Cities Database (2021) - https://simplemaps.com/data/us-cities