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A Review of the State-of-the-Art on Tours for Dynamic Visualisation of High-dimensional Data

Stuart Lee, Dianne Cook, Natalia Da Silva, Ursula Laa, Earo Wang, Nick Spyrison, H. Sherry Zhang

Invited review article for Wiley on Interactive Statistical Graphics for High-dimensional Data

Abstract

This article discusses a high-dimensional visualization technique called the tour, which can be used to view data in more than three dimensions. We review the theory and history behind the technique, as well as modern software developments and applications of the tour that are being found across the sciences and machine learning.

Colophon

A pdf of the latest build of paper can be downloaded directly from Github Actions as an artifact, just click on a commit and look for the manuscript here.

The materials required to reproduce figures we have made are available in the R directory.

Citation

@article{tours2022,
  author = {Lee, Stuart and Cook, Dianne and da Silva, Natalia and Laa, Ursula and Spyrison, Nicholas and Wang, Earo and Zhang, H. Sherry},
  year = {2022},
  title = {The state-of-the-art on tours for dynamic visualization of high-dimensional data},
  journal = {WIREs Computational Statistics},
  volume = {14},
  number = {4},
  pages = {e1573},
  keywords = {data science, data visualization, exploratory data analysis, high-dimensional data, tours},
  doi = {https://doi.org/10.1002/wics.1573},
  url = {https://github.com/dicook/wiley-isghdd}
}