I’m doing some form of data visualization learning for 180 days because I need to #JFDI.
Reading and Learning Data Visualization Theoretically/Critically:
Reading Nathan Yau’s book Visualize This
238-258 Spotting Differences
- Star charts, with several axis and min value and max value as end of stars, can be good for multivariate data, especially with several side-by-side with color fills p. 244
- eg different measures of crime per state
- Use parallel coordinates/connecting lines to look for trends across multiple units. Multiple axes next to each other with lines representing min and max p 251
- eg different education measures, test scores, gpa, etc.
- Make use of multi-dimensional scaling to reduce to find groups within data set or population p 258