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article

Effect ordering for data displays

Authors:

Michael Friendly,

Ernest KwanAuthors Info & Claims

Computational Statistics & Data Analysis, Volume 43, Issue 4

Pages 509 - 539

https://doi.org/10.1016/S0167-9473(02)00290-6

Published: 28 August 2003 Publication History

Abstract

This paper outlines a general framework for ordering information in visual displays (tables and graphs) according to the effects or trends which we desire to see. This idea, termed effect-ordered data displays, applies principally to the arrangement of unordered factors for quantitative data and frequency data, and to the arrangement of variables and observations in multivariate displays (star plots, parallel coordinate plots, and so forth).As examples of this principle, we present several techniques for ordering items, levels or variables "optimally", based on some desired criterion. All of these may be based on eigenvalue or singular-value decompositions.Along the way, we tell some stories about data display, illustrated by graphs--some surprisingly bad, and some surprisingly good--for showing patterns, trends, and anomalies in data. We hope to raise more questions than we can provide answers for.

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Cited By

Chakraborty SStuerzlinger W(2021)VizInteract: Rapid Data Exploration Through Multi-touch Interaction with Multi-dimensional VisualizationsHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85613-7_39(610-632)Online publication date: 30-Aug-2021
https://dl.acm.org/doi/10.1007/978-3-030-85613-7_39
Zhao YLuo FChen MWang YXia JZhou FWang YChen YChen W(2019)Evaluating Multi-Dimensional Visualizations for Understanding Fuzzy ClustersIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286502025:1(12-21)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TVCG.2018.2865020
Behrisch MBach BHenry Riche NSchreck TFekete J(2016)Matrix Reordering Methods for Table and Network VisualizationComputer Graphics Forum10.5555/3071534.307159535:3(693-716)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.5555/3071534.3071595
Show More Cited By

Index Terms

Effect ordering for data displays
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language features
        Data types and structures

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Published In

cover image Computational Statistics & Data Analysis

Computational Statistics & Data Analysis Volume 43, Issue 4

Data visualization

28 August 2003

229 pages

ISSN:0167-9473

Issue’s Table of Contents

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 28 August 2003

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Cited By

Chakraborty SStuerzlinger W(2021)VizInteract: Rapid Data Exploration Through Multi-touch Interaction with Multi-dimensional VisualizationsHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85613-7_39(610-632)Online publication date: 30-Aug-2021
https://dl.acm.org/doi/10.1007/978-3-030-85613-7_39
Zhao YLuo FChen MWang YXia JZhou FWang YChen YChen W(2019)Evaluating Multi-Dimensional Visualizations for Understanding Fuzzy ClustersIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286502025:1(12-21)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TVCG.2018.2865020
Behrisch MBach BHenry Riche NSchreck TFekete J(2016)Matrix Reordering Methods for Table and Network VisualizationComputer Graphics Forum10.5555/3071534.307159535:3(693-716)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.5555/3071534.3071595
Lu LHuang MZhang J(2016)Two axes re-ordering methods in parallel coordinates plotsJournal of Visual Languages and Computing10.1016/j.jvlc.2015.12.00133:C(3-12)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1016/j.jvlc.2015.12.001
Haarman BRiemersma-Van der Lek RNolen WMendes RDrexhage HBurger H(2015)Feature-expression heat maps - A new visual method to explore complex associations between two variable setsJournal of Biomedical Informatics10.1016/j.jbi.2014.10.00353:C(156-161)Online publication date: 1-Feb-2015
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Lex AStreit MSchulz HPartl CSchmalstieg DPark PGehlenborg N(2012)StratomeX: Visual Analysis of Large-Scale Heterogeneous Genomics Data for Cancer Subtype CharacterizationComputer Graphics Forum10.1111/j.1467-8659.2012.03110.x31:3pt3(1175-1184)Online publication date: 1-Jun-2012
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Liiv I(2010)Seriation and matrix reordering methodsStatistical Analysis and Data Mining10.5555/3160819.31608213:2(70-91)Online publication date: 1-Apr-2010
https://dl.acm.org/doi/10.5555/3160819.3160821
Guo D(2007)Visual analytics of spatial interaction patterns for pandemic decision supportInternational Journal of Geographical Information Science10.1080/1365881070134903721:8(859-877)Online publication date: 1-Jan-2007
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Wilkinson LAnand AGrossman R(2006)High-Dimensional Visual AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2006.9412:6(1363-1372)Online publication date: 1-Nov-2006
https://dl.acm.org/doi/10.1109/TVCG.2006.94
Guo DChen JMacEachren ALiao K(2006)A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2006.8412:6(1461-1474)Online publication date: 1-Nov-2006
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