Power BI Masterclass - R in Power BI - Importing and Transforming Data with R Example

This video tutorial explores the use of R scripts in Power BI for creating visuals, importing data, and performing data transformations. It covers setting up the R environment, running scripts in the query editor, and advanced scripting techniques. The tutorial provides practical examples, such as importing a Fortune 1000 CSV file, and demonstrates how to leverage R for data manipulation and visualization within Power BI.

What is the first step when using R scripts to create visuals in Power BI?

• Insert R code directly

• Select the necessary columns

• Export the data

• Run the R script

Which file format was used as an example for importing data into Power BI using R scripts?

• JSON

• Excel

• CSV

• XML

What must be done to the path when setting the working directory in R?

• Use no slashes

• Use forward slashes

• Use double backslashes

• Use single slashes

In the Power Query Editor, what function is used to filter the top 10 entries in a dataset using R?

• tail()

• filter()

• select()

• head()

What is one of the benefits of using R scripts in the Power Query Editor?

• To perform advanced data transformations

• To create new data sources

• To export data to Excel

• To visualize data in 3D

Which of the following is NOT a way to use R in Power BI as mentioned in the video?

• Developing mobile apps

• Running R scripts in Power Query Editor

• Importing data

• Creating visuals

What is automatically created for you when running R scripts in Power BI?

• A Python script

• A SQL query

• A variable dataset

• A new dashboard