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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/08/query-editor-tips.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>In Power BI, the dashboarding and reporting tool, you can <a rel="nofollow" href="https://powerbi.microsoft.com/en-us/documentation/powerbi-desktop-r-in-query-editor/" target="_blank">use R to filter, transform, or restructure data via the Query Editor</a>. For example, you could use the <a rel="nofollow" href="http://mran.microsoft.com/package/mice/" target="_blank">mice package</a> to impute missing values, or use the <a rel="nofollow" href="http://mran.microsoft.com/package/tidytext/" target="_blank">tidytext package</a> to assign sentiment scores to text inputs. As Imke Feldmann explains, there are lots of useful tricks you can accomplish using R in the query editor, including:</p>
<ul>
<li>Passing multiple Power BI tables into the R script</li>
<li>Parameterizing R scripts</li>
<li>Modifying file names and output data types for use in Power BI</li>
<li>Generating multiple table outputs from an R script</li>
</ul>
<p>For the details on these tips, follow the link below. You can also find <a rel="nofollow" href="https://querypower.com/2017/03/11/r-execute-the-swiss-army-knife-of-power-query/" target="_blank">tips on using R in the Query Editor</a> here.</p>
<p>The Biccountant: <a rel="nofollow" href="http://www.thebiccountant.com/2017/08/25/tips-and-tricks-for-r-scripts-in-the-query-editor-in-power-bi/" target="_blank">Tips and Tricks for R scripts in the query editor in Power BI</a></p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2017/08/query-editor-tips.html"> Revolutions</a></strong>.</div>
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