Schedule

Schedule at a glance

Notes	Reading	Scripts	What's Due?
Aug 24	Getting Started	Week 1
Aug 31	Principles, Visualizing Distributions	Week 2	Problem Set 1
Sep 7	Color, Relationships, R Markdown	Week 3	Problem Set 2
Sep 14	Annotations, Space and Maps	Week 4	Problem Set 3
Sep 21	Presentations and Customization	Week 5	Problem Set 4
Sep 28	Submit Project		Final Projects

Getting started with R/Rstudio, dplyr, and ggplot (oh my!)

Key Reading

Jonathan Schwabish. 2021. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks. Columbia University Press. Chapter 0: Introduction, Chapter 1: Visual Processing and Perceptual Rankings
Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 1: Introduction, Chapter 2: Mapping Data onto Aesthetics

Reference Reading

Hadley Wickham and Garrett Grolemund. 2017. R for Data science. O’Reilly. Chapter 3, Chapter 4, Chapter 5
Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 2, Chapter 3

Visualization principles; visualizing counts, proportions, and distributions

Key Reading

Alberto Cairo. 2016. The Truthful Art: Data, Charts, and Maps for Communication. New Riders. Chapter 2: The Five Qualities of Great Visualizations
Jonathan Schwabish. 2021. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks. Columbia University Press. Chapter 2: Five Guidelines for Better Data Visualizations
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 5: Directory of Visualizations

Reference Reading

Hadley Wickham and Garrett Grolemund. 2017. R for Data science. O’Reilly. Chapter 12
Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 6, Chapter 7, Chapter 10 (Note, all of Wilke’s code is on his github page!
Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 4

Using color; tidy data - separate/unite, joins; visualizing amounts, proportions, relationships; R markdown and communication

Key Reading

Reference Reading

Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 12, Chapter 16, Chapter 21
Hadley Wickham and Garrett Grolemund. 2017. R for Data science. O’Reilly. Chapter 13, Chapter 27, Chapter 29

Tidy data - pivots/reshape; space and maps

Key Reading

Jonathan Schwabish. 2021. Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks. Columbia University Press. Chapter 7: Geospatial
Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 15: Visualizing Geospatial Data

Reference Reading

Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 5, Chapter 7
Leaflet for R: Introduction, The Map Widget, Basemaps, Markers, Popups and Labels, Colors, Legends, Choropleths
Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 20

Peer presentations! Annotating and combining figures, enhancing and customizing visuals

Key Reading

Jonathan Schwabish. 2021. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks. Columbia University Press. Chapter 13: Redesigns
Eva Murray and Andy Kriebel. 2018. #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time. John Wiley & Sons. Chapter 8: Iterate to Improve
Cole Nussbaumer Knaflic. 2015. Storytelling with Data: A Data Visualization Guide for Business Professionals. John Wiley & Sons. Chapter 6: Dissecting Model Visuals

Reference Reading

Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 22, Chapter 23, Chapter 24, Chapter 29
Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 8
David Keyes. 2019. “How to Make Beautiful Tables in R.” R for the Rest of Us.

Submit Final Projects!