文章基本信息

标题：Quantitative Approach on Parallel Coordinates and Scatter Plots for Multidimensional-Data Visual Analytics
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作者：Phi Giang Pham ; Mao Lin Huang
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2018
卷号：13
期号：4
页码：407-416
DOI：10.17706/jcp.13.4.407-416
语种：English
出版社：Academy Publisher
摘要：Parallel coordinates and scatter plots are two well-known visualization techniques for multidimensional data analytics and often employed cooperatively for flexibility increase in exploration of such data. Existing approaches approximately consider qualitative issues and single attribute comparison, which might face statistic challenges in case of quantitative requirement. This paper introduces a new quantitative approach for visual enhancement of parallel coordinates and scatter plots in term of multiple attribute comparison. The method is based on the visual integration of interactive stacked bars and visual queries on parallel axes and scatter charts. The parallel coordinates play the role of a context view while the scatter charts are for focus details. Using the technique, users could not only quantitatively analyze multivariate data, but also flexibly compare multiple target attributes. Moreover, further investigation is enabled for deep understanding of desired information. The characteristics and usefulness of our approach are demonstrated via a case study with two typical use cases.
关键词：Multidimensional data; visual analysis; parallel coordinates; scatter plots; visual query.