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International Visual Informatics Conference

IVIC 2021: Advances in Visual Informatics pp 41–52Cite as

An Analytical Reasoning Framework for Visual Analytics Representation

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13051))

Abstract

Analytical Reasoning is the foundation of visual analytics, assisted via interactive and dynamic visualization representation. The main concern of visual analytics is the analytics process itself, it is important to facilitate the human mental space during the analysis process by embedding the analytical reasoning in the visual analytics representation. This paper aims to introduce and describe the essential analytical reasoning features within visual analytics representation. The framework describes analytical reasoning features from three parts of visual analytics representation which are higher-level structure, interconnection and lower-level structure. For higher-level structure, we proposed the features of big picture, analytics goal and insights through storytelling to ensure the analytics output becomes knowledge and applicable to facilitate the business decision. For interconnection, the features of trend, pattern and relevancy induce a relationship between higher and lower-level structures. Finally, analytical reasoning features for lower-level structure are quite straightforward which are benchmarking, ranking, decluttering, clueing and filtering. It is hoped that this framework could help to shed some light in terms of understanding analytical reasoning features that can facilitate the business decision.

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Acknowledgement

This work was supported by the Research University Grant from Universiti Teknologi Malaysia (UTM RUG: Q.K130000.2656.17J23).

Author information

Authors and Affiliations

  1. Faculty Technology and Informatics Razak, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Suraya Ya’acob, Doris Wong Hooi Ten & Norziha Megat Zainuddin

  2. Ministry of Communication and Multimedia Malaysia, Putrajaya, Malaysia

    Sharida Mohd Yusof

Authors
  1. Suraya Ya’acob
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  2. Sharida Mohd Yusof
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  3. Doris Wong Hooi Ten
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  4. Norziha Megat Zainuddin
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Editor information

Editors and Affiliations

  1. Universiti Tenaga Nasional, Selangor, Malaysia

    Halimah Badioze Zaman

  2. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  3. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  4. Queen Mary University of London, London, UK

    Sergio Velastin

  5. Toyo University, Tokyo, Japan

    Tada Terutoshi

  6. University of Southern Denmark, Odense, Denmark

    Bo Nørregaard Jørgensen

  7. Universiti Tenaga Nasional, Selangor, Malaysia

    Hazleen Aris

  8. Universiti Tenaga Nasional, Selangor, Malaysia

    Nazrita Ibrahim

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Ya’acob, S., Yusof, S.M., Ten, D.W.H., Zainuddin, N.M. (2021). An Analytical Reasoning Framework for Visual Analytics Representation. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-90235-3_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90234-6

  • Online ISBN: 978-3-030-90235-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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