Selecting and renaming columns | Data untangled: transforming and cleaning data with R (lesson 1)

👋 LESSON MATERIALS 🛑

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Chapters:
00:00 Intro
01:25 The Yaounde COVID-19 dataset
02:47 Introducing select()
08:36 Excluding columns with !
11:55 Helper functions for select()
18:18 Change column names with rename()
21:03 Wrap Up

Learning objectives:
- You can keep or drop columns from a dataframe using the dplyr::select() function from the {dplyr} package.
- You can select a range or combination of columns using operators like the colon (:), the exclamation mark (!), and the c() function.
- You can select columns based on patterns in their names with helper functions like starts_with(), ends_with(), contains(), and everything().
- You can use rename() and select() to change column names.

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