1993 …2020

Research output per year

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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:

Research area keywords

  • 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.


RiskLab: RiskLab Projects - Econometrics

Hyndman, R., Cook, D. & Knight, K.


Project: Research

Visualisation of Multidimensional Physics Data

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


Project: Research

Research Output

A new tidy data structure to support exploration and modeling of temporal data

Wang, E., Cook, D. & Hyndman, R. J., 2020, (Accepted/In press) In : Journal of Computational and Graphical Statistics. 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Calendar-based graphics for visualizing people’s daily schedules

Wang, E., Cook, D. & Hyndman, R. J., 2020, (Accepted/In press) In : Journal of Computational and Graphical Statistics. 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Testing statistical charts: what makes a good graph?

Vanderplas, S., Cook, D. & Hofmann, H., 7 Mar 2020, In : Annual Review of Statistics and Its Application. 7, p. 61-88 28 p.

Research output: Contribution to journalReview ArticleResearchpeer-review

Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics

Laa, U. & Cook, D., 2020, (Accepted/In press) In : Computational Statistics. 35 p.

Research output: Contribution to journalArticleResearchpeer-review

Connecting R with D3 for dynamic graphics, to explore multivariate data with tours

Kipp, M., Laa, U. & Cook, D., Jun 2019, In : R Journal. 11, 1, 5 p.

Research output: Contribution to journalArticleOtherpeer-review

Open Access


  • 1 Appointments or secondments to industry

University of Cambridge (External organisation)

Dianne Cook (Advisor)

7 Jan 200823 May 2008

Activity: Industry, Government and Philanthropy Engagement and PartnershipsAppointments or secondments to industry