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Personal profile


I am Professor of Business Analytics, in the Department of Econometrics and Business Statistics at Monash University, a Fellow of the American Statistical Association, and the Editor of the Journal of Computational and Graphical Statistics. My research is in data science, data visualisation, exploratory data analysis, data mining, high-dimensional methods and statistical computing. I love engaging in research, working with data, teaching, advising students and developing open source software.

Much of my work has been on developing interactive statistical graphics for high-dimensional data, and the implementation has been in these software packages: xgobi, ggobi, cranvas. The primary methods include tours, projection pursuit, manual controls for tours, pipelines for interactive graphics, a grammar of graphics for biological data, and visualizing boundaries in high-d classifiers. I have also experimented with visualizing data in virtual environments, and found that people do see clusters better in that environment than on a single computer screen.

My current work focuses on bridging the gap between statistical inference and exploratory graphics. We are doing experiments using Amazon's Mechanical Turk, and eye-tracking equipment. We have found that we can crowd-source people to read plots that can provide statistical significance on visual discoveries. Its very exciting work. We can also use the crowd-sourcing methods to rigorously test whether one data visualisation design is better than another for communicating information.

Some of the applications that I have worked on include backhoes, drug studies, mud crab growth, climate change, educational testing, gene expression analysis, butterfly populations in Yellowstone, stimulus funds spending, NRC rankings of graduate programs, technology boom and bust, election polls, soybean breeding, common crop population structures, insect gall to plant host interactions, bushfires, soccer and tennis statistics. I am currently looking at Melbourne's pedestrian sensor data. One of the things that I recently found is that boys do NOT universally do better than girls on average on the PISA math scores, and that a handful of countries including UAE, Jordan, Qatar, Thailand and Malaysia have a reverse gender gap - girls score better on average than boys. This finding appears to have been picked up and entered into wikpedia. However, girls universally score better than boys on average in reading.

Related Links:


  • data science
  • business analytics
  • exploratory data analysis
  • data visualisation
  • data mining
  • high-dimensional data
  • multivariate methods
  • statistical graphics
  • statistical computing

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2017 2019

Visualisation of Multidimensional Physics Data

Valencia, G. E., Balazs, C., Cook, D. H., Buja, A. & Rosati, M.


Project: Research

Research Output 2009 2017

Congruent biogeographical disjunctions at a continent-wide scale: Quantifying and clarifying the role of biogeographic barriers in the Australian tropics

Edwards, R. D., Crisp, M. D., Cook, D. H. & Cook, L. G. 1 Apr 2017 In : PLoS ONE. 12, 4, e0174812

Research output: Contribution to journalArticleResearchpeer-review

Open Access

Model choice and diagnostics for linear mixed-effects models using statistics on street corners

Loy, A., Hofmann, H. & Cook, D. 2017 In : Journal of Computational and Graphical Statistics. 26, 3, p. 478-492 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Data visualization and statistical graphics in big data analysis

Cook, D., Lee, E-K. & Majumder, M. 1 Jun 2016 In : Annual Review of Statistics and Its Application. 3, p. 133-159 27 p.

Research output: Contribution to journalReview ArticleResearchpeer-review

Enabling Interactivity on Displays of Multivariate Time Series and Longitudinal Data

Cheng, X., Cook, D. & Hofmann, H. 1 Oct 2016 In : Journal of Computational and Graphical Statistics. 25, 4, p. 1057-1076 20 p.

Research output: Contribution to journalArticleResearchpeer-review

Escape from boxland: Generating a library of high-dimensional geometric shapes

Schloerke, B., Wickham, H., Cook, D. & Hofmann, H. Dec 2016 In : The R Journal. 8, 2, p. 243-257 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Activities 2008 2008

  • 1 Appointments or secondments to industry

University of Cambridge (External organisation)

Cook, D. H. (Advisor)
7 Jan 200823 May 2008

Activity: Appointments or secondments to industry