Schedule
Bring a laptop with R and RStudio installed!
Week 1: October 5
Getting started with R/Rstudio, dplyr, and ggplot (oh my!)
Reading
Concepts
- Alberto Cairo. 2016. The Truthful Art: Data, Charts, and Maps for Communication. New Riders. Chapter 1
- Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 1, Chapter 2
Practice
- Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 2, Chapter 3
- Hadley Wickham and Garrett Grolemund. 2017. R for Data science. O’Reilly. Chapter 3, Chapter 4, Chapter 5
Materials
- Slides
- Practice script and data
- Problem Set 1 (due 10/19)
- Finding Data
Fall Break: October 12
Week2 : October 19
Visualization principles; visualizing counts, proportions, and distributions
Reading
Concepts
- Alberto Cairo. 2016. The Truthful Art: Data, Charts, and Maps for Communication. New Riders. Chapter 2
- Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 1, Chapter 4
- Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 5
Practice
- Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 6, Chapter 7, Chapter 10, Chapter 20, Chapter 21
- Note, all of Wilke’s code is on his github page!
- Hadley Wickham and Garrett Grolemund. 2017. R for Data science. O’Reilly. Chapter 12
Materials
Week 3: October 26
Using color; tidy data; joining data; visualizing relationships; R markdown and communication; annotating and combining figures
Reading
Concepts
- Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 4, Chapter 19
Practice
- Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly.Chapter 12, Chapter 16
- Hadley Wickham and Garrett Grolemund. 2017. R for Data science. O’Reilly. Chapter 13, Chapter 27, Chapter 29
- Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 5
Materials
Week 4: November 2
Space and maps
Reading
Concepts
- Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly.Chapter 15
Practice
- Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 7
- Leaflet for R: Introduction, The Map Widget, Basemaps, Markers, Popups and Labels, Colors, Legends, Choropleths
Materials
Week 5: November 9
Presentations! Catching up; Enhancing and customizing visuals
Reading
Concepts
- Catherine D’Ignazio and Laura Klein. 2020. Data Feminism (open draft version). MIT Press. Chapter 3: On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints.
- Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 22, Chapter 23, Chapter 24, Chapter 25, Chapter 29
Practice
- Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 8
Bonus
- David Keyes. 2019. “How to Make Beautiful Tables in R.” R for the Rest of Us.
- Carson Sievert. 2019. Interactive web-based data visualization with R, plotly, and shiny. CRC Press. Chapter 2, Chapter 33
Materials
