How to use the dtplyr package

The video tutorial introduces DT Plier, a package that combines dplyr syntax with data.table speed, allowing users to write dplyr code while benefiting from data.table's performance. It demonstrates how to load libraries, import data, and use dplyr and DT Plier to calculate average flight delays. The tutorial explains creating lazy data tables and generating data.table code from DT Plier. It highlights the performance advantages of DT Plier, especially for large datasets, and suggests its use for improving code efficiency in R applications.

What is the significance of the generated data table code from Dplyr functions?

In what scenarios might DT Plier be preferred over Dplyr?