Python, Basket Analysis, and Pymining
Background Python's pymining package provides a collection of useful algorithms for item set mining, association mining, and more. We'll explore some of its functionality during this post by using it to apply basket analysis to tennis. When basket analysis is discussed, it's often in the context of retail - analyzing what combinations of products are typically bought together (or in the same "basket"). For example, in grocery shopping, milk and butter may be frequently purchased together. We can take ideas from basket analysis and apply them in many other scenarios. As an example - let's say we're looking at events like tennis tournaments where each tournament has different successive rounds i.e. quarterfinals, semifinals, finals etc. How would you figure out what combinations of players typically show up in the same…