Enhancing Scatter-plots with Start-plots for Visualising Multi-dimensional Data

Nguyen, QV; Huang, ML; Simoff, S

Enhancing Scatter-plots with Start-plots for Visualising Multi-dimensional Data

Nguyen, QV Huang, ML Simoff, S

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Publisher:: IEEE CS
Publication Type:: Conference Proceeding
Citation:: Proc. of 24th International Conference Information Visualisation (IV), 2020, pp. 59-65
Issue Date:: 2020-09-11

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Field	Value	Language
dc.contributor.author	Nguyen, QV
dc.contributor.author	Huang, ML
dc.contributor.author	Simoff, S
dc.contributor.editor	Banissi, E
dc.date	2020-09-07
dc.date.accessioned	2020-09-11T01:20:10Z
dc.date.available	2020-09-11T01:20:10Z
dc.date.issued	2020-09-11
dc.identifier.citation	Proc. of 24th International Conference Information Visualisation (IV), 2020, pp. 59-65
dc.identifier.uri	http://hdl.handle.net/10453/142615
dc.description.abstract	Scatter-plot visualisation techniques are useful for analysing the correlations of variables on the axes as well as revealing patterns or abnormality in multidimensional data sets. However, Scatter-plot techniques have a drawback that they are not effective in showing a high number of dimensions where each plot in two-dimensional space can show a pair-wise of two variables on the X- and Y-axis. Star-plots are suitable for showing small data set with a low number of dimensions thank to the compactness in the visualisation. This paper proposes a hybrid technique that integrates Start-plots with Scatter-plots in the visualisation to enable the greater capability of scatter-plots in showing more information on each individual Star-plot. Our visualisation provides both overall views of mapping variables on multiple Scatter-plots whilst we also utilise Star-plots for showing the selected attributes on individual items for better comparison among and within variables. We also demonstrate the effectiveness of this hybrid method through case studies on various data sets.
dc.language	en
dc.publisher	IEEE CS
dc.relation.ispartof	Proc. of 24th International Conference Information Visualisation (IV)
dc.relation.ispartof	2020 24th International Conference Information Visualisation (IV)
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Enhancing Scatter-plots with Start-plots for Visualising Multi-dimensional Data
dc.type	Conference Proceeding
utslib.location.activity	Melbourne, Victoria, Australia
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2020-09-11T01:20:01Z
pubs.finish-date	2020-09-11
pubs.publication-status	Published
pubs.start-date	2020-09-07

Abstract:

Scatter-plot visualisation techniques are useful for analysing the correlations of variables on the axes as well as revealing patterns or abnormality in multidimensional data sets. However, Scatter-plot techniques have a drawback that they are not effective in showing a high number of dimensions where each plot in two-dimensional space can show a pair-wise of two variables on the X- and Y-axis. Star-plots are suitable for showing small data set with a low number of dimensions thank to the compactness in the visualisation. This paper proposes a hybrid technique that integrates Start-plots with Scatter-plots in the visualisation to enable the greater capability of scatter-plots in showing more information on each individual Star-plot. Our visualisation provides both overall views of mapping variables on multiple Scatter-plots whilst we also utilise Star-plots for showing the selected attributes on individual items for better comparison among and within variables. We also demonstrate the effectiveness of this hybrid method through case studies on various data sets.

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http://hdl.handle.net/10453/142615