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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.
Solved! Go to Solution.
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
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
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