This is a second post in a series of dplyr functions. It covers tools to manipulate your columns to get them the way you want them: this can be the calculation of a new column, changing a column into discrete values or splitting/merging columns.

I went through the entire `dplyr`

documentation for a talk last week about
pipes, which resulted in a few “aha!” moments. I discovered and
re-discovered a few useful functions, which I wanted to collect in a few
blog posts so I can share them with others.

This first post will cover **ordering, naming and selecting columns**, it covers the basics of selecting columns and more advanced functions like `select_all()`

, `select_if()`

and shortcuts like `everything()`

.