Frequency Tables with dplyr

Frequency tables are one of the simplest ways to explore how values are distributed within a categorical variable. While base R provides functions such as table() and prop.table(), the tidyverse offers a more readable and consistent approach, especially when you are already working within pipelines.

In this section, we will look at how to compute frequencies, proportions, cumulative proportions, and cross-tabulations using tidyverse tools.