Overview
We work on visualization throughout the course. Here are the bits in rough order of presentation.
- Chapter 22 - R graphics landscape slides
- Why we prefer ggplot2 over base R graphics or lattice
- The underappreciated importance of data frames, tidy data, and factor management to graphics
- Basic jargon of ggplot2
- Chapter 23 - Learning ggplot2 by using it
- My ggplot2 tutorial gives indicative code and all resulting figures
- Scatterplots, stripplots, distributions, bars, themes, managing a color scheme, bubble and line plots
- Chapter 24 - Do’s and don’ts of making effective graphs
- Effective = easy for audience to decode numerical info
- Our ability to decode position along common axis >> area, angle, color, etc.
- Colors
- Practical pro tips, i.e. a return to mechanics