iCoDA: Interactive and exploratory data completeness analysis

Ruilin Liu, Guan Wang, Wendy Hui Wang, Flip Korn
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引用次数: 1

Abstract

The completeness of data is vital to data quality. In this demo, we present iCoDA, a system that supports interactive, exploratory data completeness analysis. iCoDA provides algorithms and tools to generate tableau patterns that concisely summarize the incomplete data under various configuration settings. During the demo, the audience can use iCoDA to interactively explore the tableau patterns generated from incomplete data, with the flexibility of filtering and navigating through different granularity of these patterns. iCoDA supports various visualization methods to the audience for the display of tableau patterns. Overall, we will demonstrate that iCoDA provides sophisticated analysis of data completeness.
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iCoDA:交互式和探索性数据完整性分析
数据的完整性对数据质量至关重要。在本演示中,我们介绍了iCoDA,这是一个支持交互式探索性数据完整性分析的系统。iCoDA提供了算法和工具来生成表格模式,这些模式可以简洁地总结各种配置设置下的不完整数据。在演示过程中,观众可以使用iCoDA交互式地探索从不完整数据生成的表格模式,并灵活地过滤和导航这些模式的不同粒度。iCoDA支持各种可视化方法,以便向观众显示表格模式。总之,我们将证明iCoDA提供了对数据完整性的复杂分析。
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