Data Visualization
Course Outline and Readings
| C#     | Date | Topics | Handouts/Deadlines |
| 0 | Setting Up RStudio | Handouts | |
| 1 | Jan. 10 | Data Visualization Ur-Text and Starting R Reading
|
Handouts
|
| Jan. 17 | MLK Holiday | ||
| 2 | Jan. 24 | Intro to Nuts and Bolts of Visualization and Data Prep in R Reading
|
Due
|
| 3 | Jan. 31 | Levels and Shares, Bars and Lollipops Reading
|
Due
|
| 4 | Feb. 7 | Histograms and Distributions Reading
|
Due
|
| 5 | Feb. 14 | Maps I and Data via API Reading
|
Due
|
| Feb. 21 | Presidents Day | ||
| 6 | Feb. 28 | Functions and Storyboarding Reading
|
Due
|
| 7 | Mar. 7 | Maps II and Themes Reading
|
Due
|
| Mar. 14 | Spring Break | ||
| 8 | Mar. 21 | Line charts and Annotations Reading
|
Due
|
| 9 | Mar. 28 | In-class workshop
|
Due
|
| 10 | April 4 | Guest speaker and Scatter plots and Color Guest Speaker
|
Handouts |
| 11 | April 11 | Student Consultations
|
|
| 12 | April 18 | Storytelling, Accessibility and Interactivity Reading
|
Due
|
| 13 | April 25 | Presentations and feedback
|
Due
|
| 14 | Wed. April 27 | Video Presentations and feedback
|
|
| Mon., May 2 |
Due
|
Good, Bad and Ugly Assignment
- Presenters and Commenters list 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