Programmare con dplyr

In this chapter, you'll revisit dplyr pipelines and enhance your column selection skills with helper functions and regular expressions.

Here, you'll learn how to move columns around in your data and perform the same transformation across multiple data columns. You'll also choose rows that match any or all column criteria.

For this section, you'll revisit dplyr joins. You'll then take this further by using set theory clauses to examine overlaps and differences between datasets.

In this final part of the course, you'll use rlang operators to turn arguments into variables and create functions that incorporate dplyr and ggplot2 code.