Data Visualization

For each class, we will spend the first half of class discussing general principles of data visualization. The second half of each class we'll spend working on programming, with an assignment that you will begin and complete as homework. This outline is preliminary and subject to change.

C#	Date	Topics	Handouts/Deadlines
0		Setting Up RStudio	Handouts Tutorial 0
1	Jan. 13	Data Visualization Ur-Text and Starting R Reading Tufte, Part 1 Chang Chapter 1, Chapter 15:1-15:7, 15:15-15:18	Handouts Lecture Notes Tutorial 1 Policy brief overview Fully composed chart assignment Good/Bad/Ugly Assignment
2	Jan. 27	Intro Nuts and Bolts of Visualization and Data Prep in R Reading Few, Chapters 3 and 5 Tuva's Graph Choice Chart	Due Tutorial 1 Handouts Lecture Notes Tutorial 2
3	Feb. 3	Levels and Shares, Bars and Lollipops Reading Few, Chapters 9 and Chapter 10, pages 210-217 (on bars) Chang, Chapter 3 McGinty, “Grasping Giant Numbers is Far From Second Nature”, Wall Street Journal Great lollipop from Wall Street Journal here	Due Tutorial 2 Policy brief proposal Handouts Lecture Notes Tutorial 3
4	Feb. 10	Histograms and Distributions Reading Few, Chapter 6 Chang, Chapter 6 (through 6.5) Merrill and Leatherby, “Here's How America Uses Its Land”	Due Tutorial 3 Handouts Lecture Notes Tutorial 4
5	Feb. 24	Maps I Reading Monmonier, How to Lie, Chapters 1 and 2 Great dot density from Post here	Due Fully Composed Chart Tutorial 4 Handouts Lecture Notes Tutorial 5
6	Mar. 2	Functions and Storyboarding Reading Knaflic, Chapters 7 and 8	Due Tutorial 5 Handouts Lecture Notes Tutorial 6 In-class workshop handout
7	Mar. 9	Maps II Reading Monmonier, Mapping it Out, Chapter 6 Takenaga, “How the Times Makes Those Addictive Election Maps”, New York Times	Due Tutorial 6 Handouts Lecture Notes Tutorial 7
8	March 23	Line charts and Annotations Reading Few, Chapter 10, pages 217-220 (on lines) and Chapter 13 Chang, Chapter 4 and Chapter 9: 9.3-9.5 Pre-Recorded Lectures Line Charts Few on Storytelling R Programming	Due Tutorial 7 Handouts Lecture Notes Tutorial 8
9	March 30	Guest speaker Luis Melgar, WSJ and in-class workshop To view before we talk with Luis School shootings, from Guns and America [link] Elections in Honduras; focus on the second graphic in the story. [link] Bloomberg's presidential campaign ads in WSJ. Links: [full story] or [key graphic] Iowa and NH primaries. Links: [full story] and [key graphic 1] and [key graphic 2] Biden vs. Sanders. Links: [full story] and [key graphic 1] and [key graphic 2] Schedule for Brooks drop-ins during in-class workshop here	Due Tutorial 8 Stuff to your classmates Handouts Lecture Notes
10	April 6	Scatter plots and Color Reading Friendly and Denis, “The Early Origins and Development of the Scatterplot”, Journal of the History of the Behavioral Sciences, 2005. [link] (skim is sufficient) Few, Chapter 10, pages 210-217 (on scatters) and Chapter 11 Chang, Chapter 5 Pre-Recorded Lectures Scatter Origins How and When to Use Scatters Scatters: R Programming	Handouts Lecture Notes Tutorial 9
11	April 13	Student Consultations Outside class hours These times are now canceled: Sign up for slots here New times: sign up here Sign up for either April 13 or 29	Due Tutorial 9 Handouts Paper and Comments Instructions
12	April 20	Storytelling and RShiny Reading Knaflic, Chapter 9 Few, Chapter 10, pages 224-246 (secondary component design) Mulbrandon Great WSJ graphs that move Pre-Recorded Lectures Storytelling R Notes: R Shiny	Handouts Lecture Notes Tutorial 10
13	April 27	Video Presentations and Consultations Video presentations due Provide feedback by Wednesday to group
14	Wed. April 29	Presentations Consultations Sign up here Sign up for either April 13 or 29	Due Tutorial 10
	Mon., May 4		Due Policy brief

• Presenters and Commenters list is here
• Finders must
• link a graphic on the sheet by the Wednesday noon following the lecture
• Commenters must
• come prepared with three specific points
• these can be criticisms, appreciations, or suggestions
• criticisms are best paired with suggestions
• Each student is a presenter once and a commenter once