If you are building data science applications and need some data to demonstrate the prototype to a potential client, you will most likely need synthetic data. In this article, we discuss the steps to generating synthetic data using the R package ‘conjurer’.
One of the toughest problems of generating data is making it look realistic enough. It’s one level of difficulty to build “steady-state” data, but if you want data to follow a combination of trend and random walk…that’s when things get dicey. H/T R-Bloggers