Data Visualization
Course Outline and Readings
C#     | Date | Topics | Handouts/Deadlines |
0 | Setting Up RStudio | Handouts | |
1 | Jan. 23 | Data Visualization Ur-Text and Starting R Reading
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Handouts
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2 | Jan. 30 | Intro to Nuts and Bolts of Visualization and Data Prep in R Reading
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Due
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3 | Feb. 6 | Levels and Shares, Bars and Lollipops Reading
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Due
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4 | Feb. 13 | Histograms and Distributions Reading
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Due
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Feb. 20 | Presidents Day | ||
5 | Feb. 27 | Maps I and Data via API Reading
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Due
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6 | March 6 | Functions and Storyboarding Reading
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Due
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Mar. 13 | Spring Break | ||
7 | Mar. 20 | Maps II and Themes Reading
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Due
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8 | Mar. 27 | Line charts and Annotations Reading
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Due
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9 | April 3 | Guest speaker and In-class workshop
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Due
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10 | April 10 | Scatter plots and Color Reading
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Handouts
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11 | April 17 | Student Consultations
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|
12 | April 24 | Storytelling, Accessibility and Interactivity Reading
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Due
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13 | May 1 | Presentations and feedback
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Due
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14 | Wed. May 3 | Presentations and feedback
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Mon., May 8 |
Due
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Good, Bad and Ugly Assignment
- Presenters and Commenters list here [link]
- 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