Website: https://github.com/dicook/e61_training/
This is a training course on data visualisation skills for e61.
Presenter: Dianne Cook is Professor of Business Analytics 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.
- Overview: what is the difference between communication and exploration?
- Creating communication graphics:
- Organising your data for efficient plot descriptions.
- Grammatical descriptions of common plots.
- Following cognitive perception principles, including credibility and colour.
- Polishing your plots, by paying attention to the small things, and accessibility.
- Determining which plot is the most effective.
- Incorporating uncertainty.
- Working with multivariate, and temporal and spatial data.
- Plotting data for exploration:
- Initial data analysis
- Expectations and what is possible
- Adding interactivity
- Creating null samples to assess the strength of patterns.