Starbucks Project
High-level overview: This blog is going to investigate a dataset provided by Starbucks. This dataset includes loads of information about their customers, their offers (promotions). By merging three separate tables, this project illustrates some main points about data, some problems which can be fixed, and also, discuss about how to predict using existing features. Problem domain This project is going to find out the possibility of predicting the Starbuck users' behaviour in response to offers given. Project origin This data set contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. Description of Input Data Data sets portfolio.json - containing offer ids and meta data about each offer. profile.json - demographic data for each customer transcript.json - records for transactions, offers received, offers viewed, and offers completed. More details about each data set: portfolio.json id (string) - offer id offer_type (string) - type of offer ie BOGO,