I’m doing some form of data visualization learning for 180 days because I need to #JFDI.
Reading and Learning Data Visualization Theoretically/Critically:
p 311-318 Truth and Beauty Operator
- “I put truth and beauty at the same level. If you have only one without the other in a visualization project, you are not done yet” p 315
- “For me, design is much more than mere decoration. Scientists and engineering-focused people, the kind of professionals I usually work with, think of design as decorating a pre-existing structure. That is the wrong approach. Good design is tightly intertwined with the context it presents. It consists of thinking about what to show; what to leave out; what to highlight; how to structure information; what rhythm, visual flow, and pace, you want your story to have. That’s design. Would say that structure dictates pretty much what comes out visually” p 317
- Moritz Stefaners project workflow: Clarify What and Why (high level constaints, goals and intuitions) -> Explore and Sketch (Data analysis with Excel, Tableau, R, prototypes, visual explorations -> Define and Produce (Visual design, interaction design, implementation, testing)-> Maintain and Analyze (user tracking and analysis, updates, extensions)