Data Visualization
Course Outline and Readings
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 |
0 | Setting Up RStudio | Notes | |
1 | Jan. 28 | Data Visualization Ur-Text and Starting R Reading
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2 | Feb. 4 | Intro Nuts and Bolts of Visualization and Data Prep in R Reading
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3 | Feb. 11 | Histograms and Distributions Guest speaker
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Feb. 18 | Presidents' Day | ||
4 | Feb. 25 | Univariate: Levels and Shares, Bars Reading
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5 | Mar. 4 | Maps I Reading
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Mar. 11 | Spring Break | ||
6 | Mar. 18 | Functions and Storyboarding Reading
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7 | Mar. 25 | Maps II Reading
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8 | April 1 | Over time: Line charts Reading
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9 | April 8 | In-class workshop Guest speaker
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10 | April 15 | Student Consultations
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11 | April 22 | Scatter plots Reading
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12 | April 29 | Storytelling and Themes Reading
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13 | Wed., May 1 | Presentations
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14 | Thu., May 2 | Presentations
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Fri., May 3 | Policy brief due |
Supplemental Tutorials
Good, Bad and Ugly Assignment
Send me your graphic by 9 am on the day of the lecture. I'll put graphics in the slides. You come prepared with
- 3 critiques
- 2 improvements
C#     | Presenters |
2 | SS, JG, ES |
3 | KJ, KL, AM |
4 | PH, JB |
5 | ER, WD |
6 | EW, MP |
7 | MF, IT |
8 | MD, GM |
9 | KE, AF |
11 | ME, ID |