Video Notes
Learn about Data Transformation in R via the book R for Data Science. Covers Tidyverse's dplyr functionality for manipulating rows, columns, and groups. Showcases the pipe operator. Learn about functions like filter, arrange, distinct, count, group_by, summarize and more.
Get the Book - R for Data Science
Chapters
Video Table of Contents
- 00:00 Introduction
- 01:46 Setup
- 02:37 Package conflicts
- 04:04 Load data - nycflights13
- 04:54 Basic filter example
- 06:39 Multi-step filtering
- 09:20 Pipe operator for more intuitive transformations
- 12:21 Dplyr functions
- 13:00 Filter
- 14:32 Filter across multiple columns
- 16:28 Common mistakes
- 18:46 Arrange
- 20:29 Distinct
- 22:12 Count
- 23:18 Working with columns - mutate
- 25:20 Select by columns
- 27:59 Renaming columns
- 28:36 Don't alter original data
- 29:40 Pipe operator
- 31:51 Grouping with group_by
- 32:44 Summarizing groups
- 33:21 Filtering groups
- 34:56 Slicing groups
- 36:57 Group by multiple variables
