R tip: Quick Interactive Tables

The video tutorial demonstrates how to create interactive tables in R using the DT package. It covers importing data, specifically housing prices, and visualizing changes over time. The tutorial explains how to create, sort, and filter tables, and customize their appearance by removing row numbers and pagination. It also discusses advanced customization options, such as formatting columns as percentages or currency, and saving tables as HTML files for use on websites. The video concludes with a preview of adding sparklines to data tables.

What is the primary purpose of using the DT package in R?

• To generate plots and graphs

• To manage large datasets efficiently

• To perform complex mathematical calculations

• To create interactive tables easily

How can you sort data in an interactive table?

• By clicking on the column header

• By exporting the data to Excel

• By using a separate sorting function

• By rearranging the rows manually

Which argument is used to add filters to an interactive table?

• search

• paginate

• filter

• sort

What does the 'rownames = FALSE' argument do in a data table?

• Removes row numbers from the table

• Filters the table by row names

• Adds row numbers to the table

• Sorts the table by row names

Where can you find detailed documentation for the options available in the DT package?

• In the R console output

• In the R help file for the data table function

• In the RStudio user guide

• In the DT package README file

Which function is used to format a column as a percentage in a data table?

• formatDecimal

• formatNumber

• formatCurrency

• formatPercentage

How can you save an interactive table as an HTML file?

• By exporting it directly from the R console

• By copying and pasting the table into a text editor

• By using the saveWidget function from the HTML widgets package

• By using the saveHTML function from the DT package