Thanks to the December 2015 update released for Power BI, we can now use R to visualize our data in Power BI! Make no mistake, this is huge news and in this blog post I want to walk you through how to use the new R Script Visualization in Power BI and get you started with using R to create your first visualizations.
Not only can we create and download custom visuals from PowerBI.com to extend the capabilities of Power BI, we can use R to create a ridiculous amount of powerful visualizations. If you can get the data into Power BI, you can use R to perform interesting statistical analysis and create some pretty cool, interactive visuals.
Recently I worked on a neat little POC with Patrick Leblanc for a customer in Education who wished to perform sentiment analysis and key phrase extraction on surveys completed by students regarding classes and instructors, which brings me to this blog post.
If you’re worked in the wide and diverse field of information technology for almost any amount of time, it probably hasn’t taken you long to discover that the one thing constant about IT is that the technologies and strategies involved change faster than you can learn them. And if you work in business intelligence like I do, you don’t have to look very far at all to see change. The Microsoft Power BI team rolls out a software update every month! If I want to stay learned up on the technology, I have to really be on top of things.
