Analysis of the classic Weka dataset supermarket.arff in Python. It contains 4627 customer transactions, which are lists of products from 216 departments in a New Zealand supermarket.
The objective is to identify association rules and find out which products are often purchased together. In order to extract meaningful rules, we will be interested in those rules with a certain minimum support, confidence and lift. The rules will be obtained with the Apriori algorithm.