R Or M?

Kevin Feasel


Power BI, R

Ryan Wade gives a few scenarios in which R might be a better language choice than M for Power BI integration:

When referring to what can be done in iOS, Apple often say that there is an “app” for that. Likewise, when R developers refer to what can be done in R, we often say that there is a “package” for that. For instance:

· If one needs to scrap data from the web there are packages for that (rvest, rcurl, and others)

· If one needs to make complicated transformations to their data there are packages for that (dplyr, tidyr, lubrdiate, stringr, and others)

I like the F#-ness of M, but I admit that I’m happy there’s some fairly close R integration within Power BI, as that means there’s one fewer language I need to learn right now…

Related Posts

Dependencies as Risks

John Mount makes the point that packages dependencies are innately a risk: If your software or research depends on many complex and changing packages, you have no way to establish your work is correct. This is because to establish the correctness of your work, you would need to also establish the correctness of all of […]

Read More

Custom ggplot2 Fonts

Daniel Oehm shares two techniques for using custom fonts in your ggplot2 visuals: ggplot – You can spot one from a mile away, which is great! And when you do it’s a silent fist bump. But sometimes you want more than the standard theme. Fonts can breathe new life into your plots, helping to match […]

Read More


August 2016
« Jul Sep »