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A Model for Structure-Based Comparison of Many Categories in Small-Multiple Displays

Published: 01 December 2013 Publication History
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  • Abstract

    Many application domains deal with multi-variate data that consist of both categorical and numerical information. Smallmultiple displays are a powerful concept for comparing such data by juxtaposition. For comparison by overlay or by explicit encoding of computed differences, however, a specification of references is necessary. In this paper, we present a formal model for defining semantically meaningful comparisons between many categories in a small-multiple display. Based on pivotized data that are hierarchically partitioned by the categories assigned to the x and y axis of the display, we propose two alternatives for structure-based comparison within this hierarchy. With an absolute reference specification, categories are compared to a fixed reference category. With a relative reference specification, in contrast, a semantic ordering of the categories is considered when comparing them either to the previous or subsequent category each. Both reference specifications can be defined at multiple levels of the hierarchy (including aggregated summaries), enabling a multitude of useful comparisons. We demonstrate the general applicability of our model in several application examples using different visualizations that compare data by overlay or explicit encoding of differences.

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    • (2019)A Visual Analysis Approach for Understanding Durability Test Data of Automotive ProductsACM Transactions on Intelligent Systems and Technology10.1145/334564010:6(1-23)Online publication date: 12-Dec-2019
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    Published In

    cover image IEEE Transactions on Visualization and Computer Graphics
    IEEE Transactions on Visualization and Computer Graphics  Volume 19, Issue 12
    December 2013
    994 pages

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    IEEE Educational Activities Department

    United States

    Publication History

    Published: 01 December 2013

    Author Tags

    1. Comparative visualization
    2. categorical data
    3. small-multiple displays
    4. trellis displays

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    • (2023)Uncertainty guidance in proton therapy planning visualizationComputers and Graphics10.1016/j.cag.2023.02.002111:C(166-179)Online publication date: 1-Apr-2023
    • (2021)Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual ComparisonIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.309358528:12(4531-4545)Online publication date: 30-Jun-2021
    • (2019)A Visual Analysis Approach for Understanding Durability Test Data of Automotive ProductsACM Transactions on Intelligent Systems and Technology10.1145/334564010:6(1-23)Online publication date: 12-Dec-2019
    • (2019)Comparing Apples and OrangesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300409(1-12)Online publication date: 2-May-2019
    • (2019)GeoBrickThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-017-1461-y35:2(191-204)Online publication date: 1-Feb-2019
    • (2018)DiffpinProceedings of the Eurographics/IEEE VGTC Conference on Visualization: Short Papers10.5555/3290776.3290799(107-111)Online publication date: 4-Jun-2018
    • (2017)Ordered small multiple treemaps for visualizing time-varying hierarchical pesticide residue dataThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-017-1373-x33:6-8(1073-1084)Online publication date: 1-Jun-2017
    • (2016)A matrix-based visual comparison of time series sports dataProceedings of the Conference on Vision, Modeling and Visualization10.5555/3056901.3056911(53-60)Online publication date: 10-Oct-2016
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    • (2016)Treemaps and the Visual Comparison of Hierarchical Multi-Attribute DataProceedings of the International Working Conference on Advanced Visual Interfaces10.1145/2909132.2909286(64-67)Online publication date: 7-Jun-2016
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