In this post, we will be discussing
orderSimulatoR, which enables fast and easy
R order simulation for customer and product learning. The basic premise is to simulate data that you’d retrieve from a
SQL query of an ERP system. The data can then be merged with products and customers tables to data mine. I’ll go through the basic steps to create an order data set that combines customers and products, and I’ll wrap up with some visualizations to show how you can use order data to expose trends. You can get the scripts and the Cannondale
bikes data set at the
orderSimulatoR GitHub repository. In case you are wondering what simulated orders look like, click here to scroll to the end result.