How do R or Python scripts impact Power BI report performance, and how can I optimize them?
I want to understand how R and Python scripts can affect the performance of Power BI reports. Can you explain the potential performance challenges associated with using these scripts and share strategies for optimizing them to ensure efficient report performance, especially when dealing with large datasets or complex computations?