Learning R for Data Visualization (Video 21)

This video tutorial introduces the concept of creating interactive plots using the R package 'R charts', which allows users to generate JavaScript visualizations directly from the R Console. The tutorial covers the installation process of 'R charts', which involves using the 'dev tools' package to install it from GitHub, as it is not available on the official CRAN archive. A demo is run to ensure the installation is successful. The video concludes with a brief overview of what will be covered in the next tutorial, including creating interactive histograms and boxplots.

What is the main advantage of using interactive plots over static plots?

• They can be created without any coding.

• They require less computational power.

• They allow user interaction and dynamic data exploration.

• They are easier to print.

Which package is necessary to install 'are charts' from GitHub?

• shiny

• ggplot2

• dev tools

• tidyverse

What should you do after installing 'are charts' to ensure it works correctly?

• Restart R Studio.

• Run a demo from the package.

• Check for updates.

• Reinstall the package.

Where can you find a quick start guide and examples for 'are charts'?

• In the package's README file.

• On the 'are charts' website.

• In the R documentation.

• On the R Console.

What is the purpose of following on-screen instructions during the demo?

• To ensure the plots appear correctly.

• To change the plot colors.

• To customize the plots.

• To save the plots to a file.