Powe[R] BI: Free e-book on using R with Power BI

June 5, 2017

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

A new (and free!) e-book on extending the capabilities of Power BI with R is now available for download, from analytics consultancy BlueGranite. The introduction to the book explains why R and Power BI are a great match together: 

BlueGranite cover

As a specialized, open source statistical environment, R represents the primary analysis language for a large number of data scientists and statisticians. In recent years, R has also undergone a significant shift in user base by gaining wider adoption in the business world.

By extending Power BI with R, Microsoft has opened up numerous opportunities to enhance your Business Intelligence solutions. In addition to its versatility for data science, R is a great language and ecosystem for work related to both data visualization and data processing. By incorporating R into its products, Microsoft has signaled a strong commitment from Microsoft not only to data science, but the R platform in general.

The book provides a step-by-step guide to using R within Power BI, including:

  • How to find, install and use pre-built custom visuals based on R withing Power BI
  • How to create your own R Visuals using the R language, and use them in both Power BI Desktop and the cloud-based Power BI Service
  • How to perform custom data processing with R scripts

The e-book is available for download at the link below (free registration required). For more links to Power BI resources, you might also want to check out the blog post, "R with Power BI".

BlueGranite: Power[R] BI: Enhance Your Microsoft Power BI Experience (via David Eldersveld)

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)