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TabuVis: A tool for visual analytics multidimensional datasets

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Abstract

This paper describes TabuVis, a light weight visual analytics system that provides a flexible, customizable and effective visualization for multidimensional data. Key aspects for visually analyzing data with multiple attributes are quality and appropriateness of the analytical platform whose presentation can be adjusted via domain experts. Our commercial-free and comprehensive prototype utilizes scatter-plot approach to support the visual analytics process. The system consists of multiple components enabling the complete analysis process, including data processing, automatic marks, customizable interactive visualization and filtering. We demonstrate the effectiveness of TabuVis on various case studies using medical and Oscars datasets.

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Authors and Affiliations

  1. School of Computing, Engineering and Mathematics and MARCS Institute, University of Western Sydney, Penrith South DC, NSW, Australia

    Quang Vinh Nguyen

  2. J. Craig Venter Institute, San Diego, CA, 92121, USA

    Yu Qian

  3. Faculty of Engineering & IT, University of Technology, Sydney, NSW, 2006, Australia

    MaoLin Huang

  4. School of Computer Software, Tianjin University, Tianjin, 300072, China

    JiaWan Zhang

Authors
  1. Quang Vinh Nguyen
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  2. Yu Qian
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  3. MaoLin Huang
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  4. JiaWan Zhang
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Corresponding author

Correspondence to Quang Vinh Nguyen.

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Nguyen, Q.V., Qian, Y., Huang, M. et al. TabuVis: A tool for visual analytics multidimensional datasets. Sci. China Inf. Sci. 56, 1–12 (2013). https://doi.org/10.1007/s11432-013-4870-1

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  • DOI: https://doi.org/10.1007/s11432-013-4870-1

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