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PowerSet: A Comprehensive Visualization of Set Intersections

机译:PowerSet:集合相交的全面可视化

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When analyzing a large amount of data, analysts often define groups over data elements that share certain properties. Using these groups as the unit of analysis not only reduces the data volume, but also allows detecting various patterns in the data. This involves analyzing intersection relations between these groups, and how the element attributes vary between these intersections. This kind of set-based analysis has various applications in a variety of domains, due to the generic and powerful notion of sets. However, visualizing intersections relations is challenging because their number grows exponentially with the number of sets. We present a novel technique based on Treemaps to provide a comprehensive overview of non-empty intersections in a set system in a scalable way. It enables gaining insight about how elements are distributed across these intersections as well as performing fine-grained analysis to explore and compare their attributes both in overview and in detail. Interaction allows querying and filtering these elements based on their set memberships. We demonstrate how our technique supports various use cases in data exploration and analysis by providing insights into set-based data, beyond the limits of state-of-the-art techniques.
机译:在分析大量数据时,分析人员经常在共享某些属性的数据元素上定义组。使用这些组作为分析单位,不仅可以减少数据量,还可以检测数据中的各种模式。这涉及分析这些组之间的交点关系,以及这些交点之间的元素属性如何变化。由于集合的一般性和强大的概念,这种基于集合的分析在各种领域中都有各种应用。但是,可视化相交关系是具有挑战性的,因为它们的数量会随着集合的数量呈指数增长。我们提出了一种基于Treemaps的新颖技术,以可伸缩的方式提供了集合系统中非空交叉点的全面概述。它使您能够洞悉元素在这些交叉点之间的分布方式,并进行细粒度的分析以在概述和详细信息中探索和比较它们的属性。交互允许根据设置的成员资格查询和过滤这些元素。我们通过提供对基于集合的数据的洞察力,证明了我们的技术如何支持数据探索和分析中的各种用例,而这些技术都超出了最新技术的范围。

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