Research Output

Visualization of Online Datasets

  As computing technology advances, computers are being used to orchestrate and advance wide spectrums of commercial and personal life, an element even more significant as we immerse ourselves into the era of big data, leading to an economy heavily reliant on data mining and precise, meaningful visualizations. However, accuracy of information visualization techniques is heavily dependent on the knowledge and capabilities of the user, leaving novices in many fields at a disadvantage. This is a challenging problem that has been inadequately addressed regardless of the influx in visualization tools. Therefore, this paper proposes a novel approach with a focus on online datasets, allowing for the user to automatically and accurately visualize datasets. Using a browser extension and specially created HTML tables containing custom attributes - stating the data attribute type - the extension is able to detect and present the most suitable visualizations at the click of a mouse. This proposed approach provides a means for novices to quickly and accurately visualize online datasets.

  • Date:

    07 June 2017

  • Publication Status:

    Published

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.6 Computer graphics

  • Funders:

    Edinburgh Napier Funded

Citation

Peng, T., & Downie, C. (2017). Visualization of Online Datasets. In Proceedings of 15th IEEE/ACIS International Conference on Software Engineering Research, Management and Application (SERA), (239-246)

Authors

Keywords

Online datasets, Visualization, Browser Extensions, Data transformation, HTML

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