Data analysis of restaurants with household income and location

This project is a first try at investigating the relationship between consumer restaurant choice and income level by zipcode. We posit that if a restaurant choice of consumer is related with income, we can predict consumer’s eat out patterns based on the consumer’s income level. Analyzing two datasets the Yelp business data with restaurant type and associated Yelp rating, and household income organized by zipcode, we find a positive correlation between certain types of food with income levels.