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I do research in data visualisation, with a statistical focus. This includes visualising high-dimensional spaces using tours with low-dimensional projections, see the tourr. Yes, you can see beyond 3D. My recent work sets up a framework to bridge the long-standing gap between exploratory and confirmatory statistics, with the essential ingredient being to consider a data plot as a statistic, like the mean is a statistic. Thinking about data plots using a grammar of graphics makes this possible. The R package nullabor has functions for conducting inference with plots. Technology plays an important role in data visualisation for evaluating effectiveness and for public consumption. I have experimented with virtual environments, Amazon’s Mechanical Turk, and eye-tracking. Some of my past software projects are xgobi, ggobi, cranvas and a number of R packages. Mostly, I am curious about our world and use data plots to understand what is happening around me.
PhD in Statistics, 1993
MS in Statistics, 1991
BSc/Dip Ed in Mathematics, Statistics and Biochemistry, 1982
University of New England
Leading the R community forwards in widening the participation of women and other under-represented groups.
Non-Uniform Monash Business Analytics Team: This is a research working group consisting of facutly, post-docs and students in Econometrics and Business Statistics at Monash University. The group meets regularly to discuss current research and host visitors talking to the group. If you would like to visit and present your work to the group, send email email@example.com.
The conference useR! 2018 will be held in Australia July 10-13, at the Brisbane Convention and Exhibition Centre. This is the first time that it has been held outside Europe or North America.
I am the instructor for the following courses at Monash University:
My current and recent PhD students are: