Course website Data Visualization 2020 course at University of Edinburgh. Check here for updates and course materials. Learn will
be used for assignments only.
Course organizer: Dr. Benjamin Bach
Lecture:Mondays 10-11, 7 George Sq, S.1
Assignment 1: 26. February 2020, 4pm UK time
3. April 2020, updated to 10. April, updated to 14. April , 4pm UK time
Data Visualization Guidelines (selection)
- Iterate over your designs, get feedback
- A chart must be as simple as possible, but not simpler.
- Rainbow color maps are harmful
- Don’t use piecharts
- Correspondence principle: The same data should produce the same visualization
- Maxime data-ink ratio
- Overview first, zoom and filter, detail on demand (Shneiderman’s Information seeking mantra)
- Use interaction in visualization sparsely and cautionsly
- Don’t use more than six colors together
- Reduce clutter in Parallel coordinates by reordering axes
- Use adjacency matrices for dense networks
- Chose your colors for various types of color-blindness as well as printed in black+white
- Use several complementary visualizations to reduce clutter and complexity
- Avoid overuse of texture
- Highlight and label missing data
- Focus on the patterns in your data
Communication & presentation
- Message first, visualization design second.
- Don’t truncate axes
- Label your charts and axes
- Avoid overlapping labels and other occlusions
- Chose meaningful scales
- Add meaningful annotations carefully.
- Lie factor guideline: The representation of numbers, as physically measured on the surface of the graphic itself, should be directly proportional to the quantities represented.
- Don’t use the blow-appart effect
- Introduce and explain your visualization
- Know your audience
- Chose a meaningful chart type
- Avoid redundant information and redundant visual encodings
- Avoid 3D effects and encoding data in 3D volumes
- Careful embellishment can improve memorization if related to the patterns in the data
- Use line charts for continuous (e.g., temporal) values only
- Avoid circular charts
- Rely on simple and well-known visualization unless you have a reason
- Long lines are difficult to follow.
- Take advantage of the space you have available (Alberto Cairo)
- visualizations should not simplify messages, they should clarify them (Alberto Cairo)
- think of stucture firs, eye candy later (Albero cairo)
- organize your graphic ino layers: summary/intro, information, logical order
- Experimenting (carefully) with novel foms is not just a whimisical impulse, its a necssity (Albero Cairo)
- the more novel a visalization is,the more redundancy should be included (Albero Cairo)