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

Stuart Lee; Dianne Cook; Natalia da Silva; Ursula Laa; Nicholas Spyrison; Earo Wang; H. Sherry Zhang

doi:10.1002/wics.1573

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

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

Research output: Contribution to journal › Review Article › Research › peer-review

2 Citations (Scopus)

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. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Analysis of High Dimensional Data Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis.

Original language	English
Article number	e1573
Number of pages	18
Journal	WIREs Computational Statistics
Volume	14
Issue number	4
DOIs	https://doi.org/10.1002/wics.1573
Publication status	Published - Jul 2022

Keywords

data science
data visualization
exploratory data analysis
high-dimensional data
tours

Access to Document

10.1002/wics.1573

Cite this

@article{6cc370f74b9844b39889bfb7fe8b92b8,

title = "The state-of-the-art on tours for dynamic visualization of 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. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Analysis of High Dimensional Data Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis.",

keywords = "data science, data visualization, exploratory data analysis, high-dimensional data, tours",

author = "Stuart Lee and Dianne Cook and {da Silva}, Natalia and Ursula Laa and Nicholas Spyrison and Earo Wang and Zhang, {H. Sherry}",

note = "Funding Information: The authors gratefully acknowledge the support of the Australian Research Council. The paper was written in rmarkdown (Xie et al., 2018 ) using knitr (Xie, 2017 ). The source material for this paper is available at https://github.com/dicook/wiley-isghdd Publisher Copyright: {\textcopyright} 2021 Wiley Periodicals LLC.",

year = "2022",

month = jul,

doi = "10.1002/wics.1573",

language = "English",

volume = "14",

journal = "WIREs Computational Statistics",

issn = "1939-0068",

publisher = "John Wiley & Sons",

number = "4",

}

TY - JOUR

T1 - The state-of-the-art on tours for dynamic visualization of high-dimensional data

AU - Lee, Stuart

AU - Cook, Dianne

AU - da Silva, Natalia

AU - Laa, Ursula

AU - Spyrison, Nicholas

AU - Wang, Earo

AU - Zhang, H. Sherry

N1 - Funding Information: The authors gratefully acknowledge the support of the Australian Research Council. The paper was written in rmarkdown (Xie et al., 2018 ) using knitr (Xie, 2017 ). The source material for this paper is available at https://github.com/dicook/wiley-isghdd Publisher Copyright: © 2021 Wiley Periodicals LLC.

PY - 2022/7

Y1 - 2022/7

N2 - 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. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Analysis of High Dimensional Data Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis.

AB - 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. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Analysis of High Dimensional Data Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis.

KW - data science

KW - data visualization

KW - exploratory data analysis

KW - high-dimensional data

KW - tours

UR - http://www.scopus.com/inward/record.url?scp=85120864058&partnerID=8YFLogxK

U2 - 10.1002/wics.1573

DO - 10.1002/wics.1573

M3 - Review Article

AN - SCOPUS:85120864058

SN - 1939-0068

VL - 14

JO - WIREs Computational Statistics

JF - WIREs Computational Statistics

IS - 4

M1 - e1573

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Cite this