Create fantastic tables using gtExtras in R

The video tutorial introduces the GT Extra package, which helps create beautiful tables in R. It demonstrates using the Iris and Mt Cars datasets to showcase the package's functionality, including generating summaries and inserting graphics. The tutorial also covers using themes and provides a detailed code explanation for creating tables with visual distributions.

What is the primary purpose of the GT Extra package as introduced in the video?

• To create interactive plots

• To generate beautiful tables

• To analyze statistical data

• To perform machine learning tasks

Which data sets are used in the video to demonstrate the GT Extra package?

• Iris and mtcars

• mtcars and diamonds

• Iris and diamonds

• mtcars and airquality

What feature of the GT Plot Summary function is highlighted when using the Iris data set?

• It generates predictive models

• It includes the percentage of missing values

• It calculates the correlation between variables

• It provides a visual representation of data

In the mtcars data set example, what is used to group the data for creating a summary table?

• Car weight

• Miles per gallon

• Horsepower

• Number of cylinders

What is the purpose of using GT themes in the mtcars data set example?

• To enhance the visual appearance

• To increase computational speed

• To improve data accuracy

• To add statistical analysis