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网格集:可视化单个元素和属性以分析集合类型数据

GridSet: Visualizing Individual Elements and Attributes for Analysis of Set-Typed Data.

作者信息

Chung Haeyong, Nandhakumar Santhosh, Yang Seungwon

出版信息

IEEE Trans Vis Comput Graph. 2022 Aug;28(8):2983-2998. doi: 10.1109/TVCG.2020.3047111. Epub 2022 Jun 30.

Abstract

We present GridSet, a novel set visualization for exploring elements, their attributes, intersections, as well as entire sets. In this set visualization, each set representation is composed of glyphs, which represent individual elements and their attributes utilizing different visual encodings. In each set, elements are organized within a grid treemap layout that can provide space-efficient overviews of the elements structured by set intersections across multiple sets. These intersecting elements can be connected among sets through visual links. These visual representations for the individual set, elements, and intersection in GridSet facilitate novel interaction approaches for undertaking analysis tasks by utilizing both macroscopic views of sets, as well as microscopic views of elements and attribute details. In order to perform multiple set operations, GridSet supports a simple and straightforward process for set operations through dragging and dropping set objects. Our use cases involving two large set-typed datasets demonstrate that GridSet facilitates the exploration and identification of meaningful patterns and distributions of elements with respect to attributes and set intersections for solving complex analysis problems in set-typed data.

摘要

我们展示了GridSet,这是一种用于探索元素、其属性、交集以及整个集合的新颖集合可视化方法。在这种集合可视化中,每个集合表示由字形组成,这些字形利用不同的视觉编码来表示单个元素及其属性。在每个集合中,元素被组织在一个网格树形图布局中,该布局可以高效地提供由多个集合中的集合交集所构建的元素的概述。这些相交的元素可以通过视觉链接在集合之间进行连接。GridSet中针对单个集合、元素和交集的这些视觉表示,通过利用集合的宏观视图以及元素和属性细节的微观视图,促进了用于执行分析任务的新颖交互方法。为了执行多个集合操作,GridSet支持通过拖放集合对象进行集合操作的简单直接的过程。我们涉及两个大型集合类型数据集的用例表明,GridSet有助于探索和识别关于属性和集合交集的有意义的元素模式和分布,以解决集合类型数据中的复杂分析问题。

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