You can run R scripts directly in Power BI Desktop, and import the resulting datasets into a Power BI Desktop data model.

Installing R

To run R scripts in Power BI Desktop, you need to install R on your local machine. You can download and install R for free from many locations, including the Revolution Open download page, and the CRAN Repository. The current release of R scripting in Power BI Desktop supports Unicode characters as well as spaces (empty characters) in the installation path.

Running R Scripts

With just a few steps in Power BI Desktop you can run R scripts and create a data model, from which you can create reports, and share them on the Power BI service. R scripting in Power BI Desktop now supports number formats that contain decimals (.) and commas (,).

Prepare an R Script

To run an R script in Power BI Desktop, create the script in your local R development environment, and make sure it runs successfully.

To run the script in Power BI Desktop, make sure the script runs successfully in a new and unmodified workspace. This means that all packages and dependencies must be explicitly loaded and run. You can use source() to run dependent scripts.

When preparing and running an R script in Power BI Desktop, there are a few limitations: - Only data frames are imported, so make sure the data you want to import to Power BI is represented in a data frame - Columns that are typed as Complex and Vector are not imported, and are replaced with error values in the created table. - Values that are N/A are translated to NULL values in Power BI Desktop - Any R script that runs longer than 30 minutes times out - Interactive calls in the R script, such as waiting for user input, halts the script’s execution - When setting the working directory within the R script, you must define a full path to the working directory, rather than a relative path

Run your R Script and Import Data

  1. In Power BI Desktop, the R Script data connector is found in Get Data. To run your R Script, select Get Data > More..., then select Other > R Script as shown in the following image.

  2. If R is installed on your local machine, the latest installed version is selected as your R engine. Simply copy your script into the script window and select OK.

  3. If R is not installed, is not identified, or if there are multiple installations on your local machine, expand R Installation Settings to display installation options, or to select which installation you want to run the R script.

    If R is installed is not identified, you can explicitly provide its location in the text box provided when you expand R Installation Settings. In the above image, the path C:\Program Files\R\R-3.2.0 is explicitly provided in the text box.

    R installation settings are centrally located in the R Scripting section of the Options dialog. To specify your R installation settings, select File > Options and settings and then Options > R Scripting. If multiple installations of R are available, a drop-down menu appears that allows you to select which installation to use.

  4. Select OK to run the R Script. When the script runs successfully, you can then choose the resulting data frames to add to the Power BI model.


You can refresh an R script in Power BI Desktop. When you refresh an R script, Power BI Desktop runs the R script again in the Power BI Desktop environment.

More Information

Take a look at the following additional information about R in Power BI.