Group_by and summarize | Data untangled: transforming and cleaning data with R (lesson 5)

👋 LESSON MATERIALS 🛑

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Chapters
00:00 Intro
02:25 Introducing dplyr::summarize()
6:29 Grouped summaries
12:22 Grouping by multiple variables
15:52 Ungrouping
19:30 Counting rows
27:07 Including missing combinations in summaries
35:29 Wrap-up

Learning objectives
1. You can use dplyr::summarize() to extract summary statistics from datasets.
2. You can use dplyr::group_by() to group data by one or more variables before performing operations on them.
3. You understand why and how to ungroup grouped data frames.
4. You can use dplyr::n() together with group_by()-summarize() to count rows per group.
5. You can use sum() together with group_by()-summarize() to count rows that meet a condition.
6. You can use dplyr::count() as a handy function to count rows per group.

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