R has a reputation as the go-to language for statistical analysis. It has a swathe of packages developed by its open source community that allows its users to do anything from fitting a simple linear model to the implementation of unsupervised learning algorithms. However, in recent years, R has also built a reputation for providing complex multi-layered graphics. With the addition of R into Power BI, report-builders now have the capability to leverage both of these as aspects of R.
This talk will introduce open source R, how you can access it, and showcase its statistical and graphical capabilities. It will then cover some examples of how R scripts and graphics can be embedded in Power BI, before finishing with a small number of use cases of why and when you may want to ingrate R within your Power BI context.