Tutorial PM 3: Oct 22 1:30-5:00
Creating effective data plots
Presenter: Dianne Cook is a Professor of Statistics at Monash University in Melbourne, Australia. She is a world leader in data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit. She is currently focusing on bridging the gap between exploratory graphics and statistical inference. Di is a Fellow of the American Statistical Association, past editor of the Journal of Computational and Graphical Statistics, current editor of the R Journal, elected Board Member of the R Foundation, and elected member of the International Statistical Institute.
Tutorial details
- Making effective plots using ggplot2’s grammar of graphics
- Organising your data to enable mapping variables to graphical elements,
- Common plot descriptions as scripts,
- Do’s and don’ts following cognitive perception principles.
- Making decisions and inferential statements based on data plots
- What is your plot testing? Determining the hypothesis based on the type of plot.
- Creating null samples to build lineups for comparison and testing.
- Conducting a lineup test using your friends to determine whether what you see is real or spurious, and to determine the best design for your plot.
Background: Participants should have a working knowledge of R, and tidyverse, and some experience with ggplot2. Familiarity with the material in R4DS is helpful.
Tutorial materials can be found here.