<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">[size= 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]While Power BI supports R and Python for advanced analytics, these integrations have limitations. Scripts cannot be fully interactive within Power BI dashboards, and their execution is dependent on the environment where Power BI Desktop is running. Sharing dashboards with R or Python visuals requires all end-users to have the necessary libraries installed, which complicates deployment. Additionally, these scripts may not perform well with large datasets or real-time updates, limiting their practical use. Power BI developers must often rely on external tools or preprocess data outside Power BI, increasing project complexity.[/size]