Data Wrangling

Week 11, Spring 2022

• Start: Monday, March 28
• End: Friday, April 1

Summary

This week we will continue discussion of the tidyverse.

Learning Objectives

After completing this week, you are expected to be able to:

• Identify “tidy” data.
• Transform data to a “tidy” format using tidyr.
• Import and export data using readr.
• Combine multiple datasets using dplyr.

Reading

Link	Source
Wrangle: Introduction	R4DS
Wrangle: Tibbles	R4DS
Wrangle: Data Import	R4DS
Wrangle: Tidy Data	R4DS
Wrangle: Relational Data	R4DS
Cheat Sheet: ggplot2	RStudio Cheatsheets
Cheat Sheet: dplyr	RStudio Cheatsheets
Cheat Sheet: tidyr	RStudio Cheatsheets
Cheat Sheet: reader	RStudio Cheatsheets

Video

Title	Link	Mirror
11.1 - Data Wrangling	11.1 - YouTube	11.1 - ClassTranscribe
11.2 - Lab 08	11.2 - YouTube	11.2 - ClassTranscribe

Assignments

Assignment	Deadline	Credit
Lab 07	Friday, April 8	100%
Quiz 07	Friday, April 8	105%
Lab 06	Friday, April 1	100%
Quiz 06	Friday, April 1	105%

Office Hours

Staff and Link	Day	Time
Zoom with David	Monday	3:00 PM - 4:00 PM
Zoom with Tyler	Thursday	2:00 PM - 4:00 PM
Zoom with David	Thursday	5:00 PM - 7:00 PM
Zoom with Linjun	Thursday	7:00 PM - 9:00 PM
Zoom with Earl	Friday	10:00 AM - 12:00 PM
Zoom with Lia	Friday	2:30 PM - 4:30 PM
Discussion Forum	Any!	Any!