4. Data Visualization Rules of Thumb
Trait #4 – Data Visualization Rules of Thumb
How to Score Yourself
As you fill out your self-assessment worksheet or dashboard, take into account the following statements to more accurately gauge your own level of proficiency in this trait, as well as its importance to your success in the near future:
Proficiency
Rate yourself high in proficiency in this critical trait in the Knowledge category if you can say yes to all or most of the following statements:
Importance
Rate the importance of this trait highly if you can say yes to most of the following statements:
Resources to Help You Improve
The following resources will help you increase your proficiency in this fourth of the 17 Key Traits of Data Literacy:
- Videos
- TED-Ed: The beauty of data visualization – David McCandless (2012)
- Courses
- Books
- Learning to See Data (Ben Jones, 2020)
- Visualization Analysis & Design (Tamara Munzner, 2014)
- How Charts Lie (Alberto Cairo, 2019)
- Fundamentals of Data Visualization (Claus Wilke)
- Papers
- Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods (Cleveland & McGill, 1984)
- Automating the Design of Graphical Presentations of Relational Information (Jock Mackinlay, 1986)
- Attention and Visual Memory in Visualization and Computer Graphics (Christopher Healey & James Enns, July 2012)
- Websites
- Visualising Data (Andy Kirk)
- EagerEyes (Robert Kosara)
- FlowingData (Nathan Yau)