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A Model for Structure-Based Comparison of Many Categories in Small-Multiple Displays

机译:基于结构的小多次显示中多个类别比较的模型

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Many application domains deal with multi-variate data that consist of both categorical and numerical information. Smallmultiple displays are a powerful concept for comparing such data by juxtaposition. For comparison by overlay or by explicit encoding of computed differences, however, a specification of references is necessary. In this paper, we present a formal model for defining semantically meaningful comparisons between many categories in a small-multiple display. Based on pivotized data that are hierarchically partitioned by the categories assigned to the x and y axis of the display, we propose two alternatives for structure-based comparison within this hierarchy. With an absolute reference specification, categories are compared to a fixed reference category. With a relative reference specification, in contrast, a semantic ordering of the categories is considered when comparing them either to the previous or subsequent category each. Both reference specifications can be defined at multiple levels of the hierarchy (including aggregated summaries), enabling a multitude of useful comparisons. We demonstrate the general applicability of our model in several application examples using different visualizations that compare data by overlay or explicit encoding of differences.
机译:许多应用领域都处理由分类和数字信息组成的多元数据。小型多重显示是通过并置比较此类数据的强大概念。但是,为了通过叠加或通过对计算出的差异进行显式编码进行比较,需要指定参考。在本文中,我们提出了一个形式化的模型,用于定义小倍显示中许多类别之间的语义有意义的比较。基于根据分配给显示的x和y轴的类别按层次划分的透视数据,我们提出了在此层次结构中基于结构的比较的两种选择。对于绝对参考规范,将类别与固定参考类别进行比较。相反,在相对参考规范中,将类别分别与上一个或下一个类别进行比较时,会考虑类别的语义顺序。可以在层次结构的多个级别(包括汇总汇总)上定义两个参考规范,从而可以进行多种有用的比较。我们在几个应用示例中使用不同的可视化演示了模型的一般适用性,这些可视化通过覆盖或显式编码差异比较数据。

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