Multiple foci drill-down through tuple and attribute aggregation polyarchies in tabular data

Nathan Conklin, S. Prabhakar, Chris North
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引用次数: 21

Abstract

Information analysis often involves decomposing data into sub-groups to allow for comparison and identification of relationships. Breakdown Visualization provides a mechanism to support this analysis through user guided drill-down of polyarchical metadata. This metadata describes multiple hierarchical structures for organizing tuple aggregations and table attributes. This structure is seen in financial data, organizational structures, sport statistics, and other domains. A spreadsheet format enables comparison of visualizations at any level of the hierarchy. Breakdown Visualization allows users to drill-down a single hierarchy then pivot into another hierarchy within the same view. It utilizes a fix and move technique that allows users to select multiple foci for drill-down.
通过表数据中的元组和属性聚合结构进行多焦点下钻
信息分析通常涉及将数据分解为子组,以便进行比较和识别关系。Breakdown Visualization提供了一种机制,通过用户引导的对多层次元数据的下钻操作来支持这种分析。此元数据描述用于组织元组聚合和表属性的多个层次结构。这种结构见于金融数据、组织结构、体育统计和其他领域。电子表格格式允许在层次结构的任何级别上比较可视化。Breakdown Visualization允许用户向下钻取单个层次结构,然后转向同一视图中的另一个层次结构。它利用了一个固定和移动技术,允许用户选择多个焦点钻下。
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