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

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

👋 LESSON MATERIALS 🛑 Get the data, scripts, PDF notes and quizzes for this lesson from our website: https://thegraphcourses.org/courses/d... If this is your first time coding along with us, watch this quick video to see how it works:    • How to practice along with the lesson...   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. ---------------- And follow us on social media to get the latest updates! Twitter:   / thegraphnetwork   LinkedIn:   / the-graph-network