Data visualisation is a key statistical tool for effective communication and to understand aspects of data and models. The statistical language R is used widely for data analysis and visualisation, e.g. the BBC Visual and Data Journalism team uses ggplot2 R-package to create production-ready charts.
This workshop will:
- Teach you how to create production-ready graphics using the grammar of graphics implemented in ggplot2 R-package (Day 1);
- Teach you also how to construct more complex plots, including maps, and discuss inference for statistical graphics to understand if what we see in a plot is really there (Day 2).
The workshop will be hands-on with plenty of practical examples.
Completion of this course will be helpful for the Advanced Data Visualisation Workshop with R, to be run by SSA Canberra in the second half of 2021 (TBA).
About the presenters:
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 Ordinary Member of the R Foundation, and elected member of the International Statistical Institute.
Emi Tanaka is a Lecturer in Statistics at Monash University and the incoming President of SSA Vic. She is currently working on a statistical theory for conducting inference using data plots and is an early career researcher in multi-level modelling, and experimental design. She is an experienced and enthusiastic R user and instructor, and regularly teaches university courses and workshops to the broader community on data visualisation, including ggplot2.
This workshop is suitable for those who know how to use R but are not familiar or comfortable with ggplot2 or would like a refresher on ggplot2.