1.4 — Data Wrangling in the tidyverse — Class Notes

Contents

Thursday, September 27, 2020

Overview

Today we will cover the heart of tidyverse and use it for “data wrangling”. Today will again be a lot of content thrown at you, so you can look back at this as a reference all semester. Then we will do more practice problems.

Readings

Please see today’s readings for more information, resources, cheetsheets, and tips.

Slides

• View Lecture Slides
• Download as PDF

Live Class Session on Zoom

The live class Zoom meeting link can be found on Blackboard (see LIVE ZOOM MEETINGS on the left navigation menu), starting at 11:30 AM.

If you are unable to join today’s live session, or if you want to review, you can find the recording stored on Blackboard via Panopto (see Class Recordings on the left navigation menu).

Practice Problems

Today you will be working on R practice problems. Check back later for solutions.

Additional Useful Information

New Packages Mentioned

Learn more about each of these in context in the slides, but below are links to each packages’s online help pages, which include descriptions of how each function works, examples, and cheatsheets to help you

• tidyverse collection of packages, including the following:
• tibble for friendlier, tidier dataframes
• magrittr for use of the pipe (%>%)
• readr, readxl, and haven for importing data
• dplyr for data wrangling and manipulation
• tidyr for reshaping data