Solved: R Query Editor

shj997 · ‎01-19-2017

Is it possible to run statistical models in R query editor so that the output can be put into a new column or table. For instance, I want to run an ARIMA forecasting model but I want the forecasted values to go into a new column that I can use in Power BI's line chart. Another example is visualizng summary results from a linear regression like if I wanted to plot the residuals using Power BI scatterplot. The reason for doing this is gain the interactivity that Power BI visuals have. R visuals lack this and currently Power BI does not support the Plotly library.

v-ljerr-msft · ‎01-19-2017

Hi @shj997,

In this scenario, you can run R in the Power BI Desktop Query Editor. This integration of R into Query Editor lets you perform data cleansing using R, and perform advanced data shaping and analytics in datasets, including completion of missing data, predictions, and clustering, just to name a few. For more details about this, you can refer to this article.

Regards

View solution in original post

v-ljerr-msft · ‎01-19-2017

Hi @shj997,

In this scenario, you can run R in the Power BI Desktop Query Editor. This integration of R into Query Editor lets you perform data cleansing using R, and perform advanced data shaping and analytics in datasets, including completion of missing data, predictions, and clustering, just to name a few. For more details about this, you can refer to this article.

Regards