Dianne Cook

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Distinguished Professor

MONASH UNIVERSITY

Australia

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About

Dianne Cook is a Distinguished Professor at Monash University, Australia. Her research areas include statistical inference, interactive visualization, and multivariate data analysis. She has authored several articles focused on the intersection of human factors and visual data representation, alongside developing innovative tools for data exploration and diagnosis. Her recent works include contributions to the fields of statistical modeling and geostatistical visualization.

Recent Grants

Grant: Close

Visualisation of multidimensional physics data

Open Date: 2017-01-01

Close Date: 2019-12-31

Grant: Close

Using Electronic Assessments to Inform Student Learning and Instruction in Introductory Statistics

Open Date: 2013-09-15

Close Date: 2015-08-31

Grant: Close

Collaborative Research: Inference for Statistical Graphics

Open Date: 2010-09-15

Close Date: 2014-08-31

Grant: Close

Statistical Graphics Research in Association with GGobi

Open Date: 2007-06-01

Close Date: 2012-05-31

Grant: Close

Arabidopsis 2010: MetNet: Integrated Software for Arabidopsis Systems Biology Research

Open Date: 2005-09-01

Close Date: 2008-08-31

Articles (21)

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Collaborators (6)

Patricia Menéndez

Senior Lecturer

MONASH UNIVERSITY

AUSTRALIA

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Przemyslaw Biecek

University of Warsaw

POLAND

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Wai Yin Leung

Lecturer in Business Analytics

Monash University Malaysia.

AUSTRALIA

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Stuart Lee

University of Melbourne

AUSTRALIA

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Weihao Li

The Australian National University

AUSTRALIA

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Ursula Laa

MONASH UNIVERSITY

AUSTRALIA

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Dianne Cook

Research Interests

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About

Recent Grants

Articles (21)

Demonstrating the Capabilities of the lionfish Software for Interactive Visualization of Market Segmentation Partitions

Is This Normal? A New Projection Pursuit Index to Assess a Sample Against a Multivariate Null Distribution

Effect of Human Factors on Visual Statistical Inference

Performance Is Not Enough: The Story Told by a Rashomon Quartet

Designing the Australian Cancer Atlas: visualizing geostatistical model uncertainty for multiple audiences

A Tidy Framework and Infrastructure to Systematically Assemble Spatio-temporal Indexes from Multivariate Data

A Plot is Worth a Thousand Tests: Assessing Residual Diagnostics with the Lineup Protocol

cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data

Exploring local explanations of nonlinear models using animated linear projections

New and Simplified Manual Controls for Projection and Slice Tours, With Application to Exploring Classification Boundaries in High Dimensions

Interactive graphics for visually diagnosing forest classifiers in R

Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations

A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely

A Hexagon Tile Map Algorithm for Displaying Spatial Data

brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R

Commentary on “Visualization in Operations Management Research”: Incorporating Statistical Thinking into Visualization Practices for Decision Making in Operational Management

A Journey from Wild to Textbook Data to Reproducibly Refresh the Wages Data from the National Longitudinal Survey of Youth Database

Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions

The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data

Casting multiple shadows: interactive data visualisation with tours and embeddings

Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data

Collaborators (6)

Patricia Menéndez

Przemyslaw Biecek

Wai Yin Leung

Stuart Lee

Weihao Li

Ursula Laa

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