I have two previous editions which are gorgeous. Great examples for stimulating thinking about collecting, analyzing, and displaying data of any type.
Surface-based display of volume-averaged cerebellar imaging data→
/Looks like a nice way to visualize cerebellum data.
Brief guide to 3D "glass brain" visualizations of MRI data using ITK-SNAP and ParaView→
/Nice overview of visualizations using ITK-SNAP and ParaView.
Making better tables→
/Short, illustrated guide to better tables. (Not that different from APA style, when done well!)
Online course for visualization in R from beginner to advanced→
/Looks nice!
You work through tutorials and pause to learn important concepts so that you can get into more advanced visualization. Exercises and suggested reading at the end of each week help you practice what you learn. By the end of the course, you will:
- Know how to work with real data
- Be able to explore data for analysis
- Create custom graphics fit for presentation
Beyond bar and line graphs: Time for a new data presentation paradigm→
/Different data can lead to the same summary statistics - hence, authors should try to show as much data as possible (e.g., scatter plots rather than bar graphs of means). Good advice.
