Deriving information with {dplyr}
In this case study, you will identify the most popular American names from 1880 to 2015. While doing this, you will master three more dplyr functions:
mutate()
,group_by()
, andsummarize()
, which help you use your data to compute new variables and summary statistics
These are some of the most useful R functions for data science, and this tutorial provides everything you need to learn them.
This tutorial uses the core tidyverse packages, including {ggplot2}, {tibble}, and {dplyr}, as well as the babynames
package. All of these packages have been pre-installed and pre-loaded for your convenience.