How to Create and Use R Visulas for Prediction in power BI

Prerequisites:

R Installation: Ensure you have R installed on your machine. You can download it from the official website [R project for statistical computing ON The R Project for Statistical Computing r-project.org].

Power BI Setup: In Power BI Desktop, enable R scripting by going to File > Options and settings > Options. Under Global > R scripting, verify the path to your R installation is correct.

Data Preparation and Cleaning:

Clean and prepare your data in Power BI using its data transformation tools. This includes handling missing values, normalizing data, and selecting relevant features for your prediction task.

Building Predictive Models with R:

Create an R visual: In the Visualizations pane, select the R Visual icon. This adds a placeholder visual and opens the R script editor.

Write your R script: Within the editor, write your R code for building the predictive model. This might involve:

Loading required R packages (ensure they are compatible with Power BI service if publishing your report).

Importing your data from Power BI using R functions like read.csv.

Performing data transformations and feature engineering as needed.

Building your predictive model using R libraries like caret or glm.

Saving the model output or predictions to a variable.