Problem: I want to identify the characteristic(s) of people who would shop on Monday vs Sunday (or any such dichotomous response variable).
I have over a million observations and >50 variables/characteristics of customers in my data. I have this Day variable(binary) in my dataset too. Some of the variables are income intervals, age intervals, type of family,gender,Place of residence etc.(Not continuous data).
I am looking to answer this for example as following:People shopping on Sunday are: Florida-income range 50k-100k-family with kids-aged 30-45. Basically a profile of with as many characteristics to narrow down as possible.
Any help with the statistics/analytics methods that can be used in this context would be great.Thanks!