A Guiding System of Visualization for Quantitative BigdataBased on User Intention


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 6, pp. 261-266, Jun. 2016
10.3745/KTSDE.2016.5.6.261,   PDF Download:
Keywords: Bigdata Visualization, Open Source Visualization Tool, Visualization for Quantitative Data, Visualization Guideline, Chart Recommendation
Abstract

Chart suggestion method provided by various existing data visualization tools makes chart recommendations without considering the user intention. Data visualization is not properly carried out and thus, unclear in some tools because they do not follow the segmented quantitative data classification policy. This paper provides a guideline that clearly classifies the quantitative input data and that effectively suggests charts based on user intention. The guideline is two-fold; the analysis guideline examines the quantitative data and the suggestion guideline recommends charts based on the input data type and the user intention. Following this guideline, we excluded charts in disagreement with the user intention and confirmed that the time user spends in the chart selection process has decreased.


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Cite this article
[IEEE Style]
J. Y. Byun and Y. B. Park, "A Guiding System of Visualization for Quantitative BigdataBased on User Intention," KIPS Transactions on Software and Data Engineering, vol. 5, no. 6, pp. 261-266, 2016. DOI: 10.3745/KTSDE.2016.5.6.261.

[ACM Style]
Jung Yun Byun and Young B. Park. 2016. A Guiding System of Visualization for Quantitative BigdataBased on User Intention. KIPS Transactions on Software and Data Engineering, 5, 6, (2016), 261-266. DOI: 10.3745/KTSDE.2016.5.6.261.