Week 1

Data visualization

The grammar of graphics and ggplot2 API and designing effective plots

Resource Roundup

We’ll work our way through most of R for Data Science by Hadley Wickham and Garrett Grolemund (R4DS). You can use the free online version or order a physical copy from Amazon.

We’ll also read several chapters in Professor Kieran Healy’s book Data Visualization (SOCVIZ). You can use the free online version or order a physical copy from Amazon (it’s a beautiful book that should probably be on your bookshelf at some point).

It’s important that you read the chapters AND run the code as you go. If you read without coding you are likely to trick yourself into thinking you’ve learned more than you have. This type of material requires most of us to be active learners. Read/Type/Run > Read/Copy/Paste/Run > Read only.

Jan 16: The grammar of graphics and ggplot2 API

Prepare

• ⬇️: RStudio IDE cheatsheet
• 📖: SOCVIZ Preface (Before you begin)
• 📖: SOCVIZ Chapter 1
• 📖: SOCVIZ Chapter 2
• 📖: R4DS Chapter 1

During Class

Deck / Materials (zip or github)

After Class (Optional)

• 📖: ModernDive Chapter 1, provides a nice intro to R, RStudio, and packages if you’re feeling a bit shaky.
• 💻: {learnr} tutorial on getting started with R/RStudio

Jan 18: Designing effective plots

Prepare

• 📺: Reporting on and visualising the pandemic (video 50 min)
• ⬇️: Data visualization cheatsheet
• 📖: R4DS Chapter 9
• 📖: R4DS Chapter 11
• 📖: SOCVIZ Chapter 5

During Class

Deck / Materials (zip or github)

After Class (Optional)

• 💻: Tutorials: Visualize Data

TidyTuesday

US Polling Places 2012-2020!

Here’s the template to use. Submit your Rmd file to Sakai by 10pm Sunday.