Visualizing set-valued attributes in parallel with equal-height histograms

Kent Wittenburg; Alessio Malizia; Luca Lupo; Georgiy Pekhteryev

doi:10.1145/2254556.2254672

Visualizing set-valued attributes in parallel with equal-height histograms

Kent Wittenburg, Alessio Malizia, Luca Lupo, Georgiy Pekhteryev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Visualization of set-valued attributes in multi-dimensional information visualization systems remains a relatively unexplored problem. Here we introduce a novel method for visualizing set-valued attributes that we call the singleton set distribution view and integrate it into an interactive multi-dimensional attribute visualization tool utilizing parallel bargrams (aka equal-height histograms) as its main visual motif. We discuss our design rationale and report on the results of an evaluation study.

Original language	English
Title of host publication	Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2012
Pages	632-635
Number of pages	4
DOIs	https://doi.org/10.1145/2254556.2254672
Publication status	Published - 2012
Event	2012 International Working Conference on Advanced Visual Interfaces, AVI 2012 - Capri Island, Italy Duration: 21 May 2012 → 25 May 2012

Conference

Conference	2012 International Working Conference on Advanced Visual Interfaces, AVI 2012
Country/Territory	Italy
City	Capri Island
Period	21/05/12 → 25/05/12

Keywords

equal-height histograms
information visualization
multi-dimensional visualization
set-valued attributes

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10.1145/2254556.2254672

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title = "Visualizing set-valued attributes in parallel with equal-height histograms",

abstract = "Visualization of set-valued attributes in multi-dimensional information visualization systems remains a relatively unexplored problem. Here we introduce a novel method for visualizing set-valued attributes that we call the singleton set distribution view and integrate it into an interactive multi-dimensional attribute visualization tool utilizing parallel bargrams (aka equal-height histograms) as its main visual motif. We discuss our design rationale and report on the results of an evaluation study.",

keywords = "equal-height histograms, information visualization, multi-dimensional visualization, set-valued attributes",

author = "Kent Wittenburg and Alessio Malizia and Luca Lupo and Georgiy Pekhteryev",

year = "2012",

doi = "10.1145/2254556.2254672",

language = "English",

isbn = "9781450312875",

pages = "632--635",

booktitle = "Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2012",

note = "2012 International Working Conference on Advanced Visual Interfaces, AVI 2012 ; Conference date: 21-05-2012 Through 25-05-2012",

}

Wittenburg, K, Malizia, A, Lupo, L & Pekhteryev, G 2012, Visualizing set-valued attributes in parallel with equal-height histograms. in Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2012. pp. 632-635, 2012 International Working Conference on Advanced Visual Interfaces, AVI 2012, Capri Island, Italy, 21/05/12. https://doi.org/10.1145/2254556.2254672

TY - GEN

T1 - Visualizing set-valued attributes in parallel with equal-height histograms

AU - Wittenburg, Kent

AU - Malizia, Alessio

AU - Lupo, Luca

AU - Pekhteryev, Georgiy

PY - 2012

Y1 - 2012

N2 - Visualization of set-valued attributes in multi-dimensional information visualization systems remains a relatively unexplored problem. Here we introduce a novel method for visualizing set-valued attributes that we call the singleton set distribution view and integrate it into an interactive multi-dimensional attribute visualization tool utilizing parallel bargrams (aka equal-height histograms) as its main visual motif. We discuss our design rationale and report on the results of an evaluation study.

AB - Visualization of set-valued attributes in multi-dimensional information visualization systems remains a relatively unexplored problem. Here we introduce a novel method for visualizing set-valued attributes that we call the singleton set distribution view and integrate it into an interactive multi-dimensional attribute visualization tool utilizing parallel bargrams (aka equal-height histograms) as its main visual motif. We discuss our design rationale and report on the results of an evaluation study.

KW - equal-height histograms

KW - information visualization

KW - multi-dimensional visualization

KW - set-valued attributes

UR - http://www.scopus.com/inward/record.url?scp=84863591807&partnerID=8YFLogxK

U2 - 10.1145/2254556.2254672

DO - 10.1145/2254556.2254672

M3 - Conference contribution

AN - SCOPUS:84863591807

SN - 9781450312875

SP - 632

EP - 635

BT - Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2012

T2 - 2012 International Working Conference on Advanced Visual Interfaces, AVI 2012

Y2 - 21 May 2012 through 25 May 2012

ER -

Visualizing set-valued attributes in parallel with equal-height histograms

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