Fast and easy R order simulation for customer and product learning!
orderSimulatoR enables fast and easy creation of order data for simulation, data mining and machine learning. In it's current form, the orderSimulatoR is a collection of scripts that can be used to generate sample order data from the following inputs: customer table (e.g. bikeshops.xlsx), products table (e.g. bikes.xlsx), and customer-products interaction table (e.g. customer_product_interactions.xlsx). The output will be order data. Example input files are provided (refer to the data folder). The output generated is similar to that in the file orders.xlsx.
It's very difficult to create custom order data for data mining, visualization, trending, etc. I've searched for good data sets, and I came to the conclusion that I'm better off creating my own orders data for messing around with on my blog. In the process, I made an algorithm to generate the orders. I made the algorithm publicly available so others can use to show off their analytical abilities. T
The process to create orders (shown below) is fast and easy, and the result is orders with customized trends depending on the inputs you create and the parameters you select. I've provided some sample data in the data folder to help with the explanation. The scripts used are in the scripts folder. Click here for an in-depth walkthrough.
- ORDERSIMULATOR: SIMULATE ORDERS FOR BUSINESS ANALYTICS - This is a walkthrough on how to simulate orders using
orderSimulatoR.