VisClean: Interactive Cleaning for Progressive Visualization

Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li

科研成果: 期刊稿件文章同行评审

17 引用 (Scopus)

摘要

Data visualization is crucial in data-driven decision making. However, bad visualizations generated from dirty data often mislead the users to understand the data and to draw wrong decisions. We present VisClean, a system that can progressively visualize data with improved quality through interactive and visualization-aware data cleaning. We will demonstrate two main features of VisClean: (1) Easy-to-use: the users can easily answer data cleaning questions through a novel GUI; and (2) Cheap-to-clean: the quality of bad visualizations can be significantly improved in a few interactions.

源语言英语
页(从-至)2821-2824
页数4
期刊Proceedings of the VLDB Endowment
13
12
DOI
出版状态已出版 - 2020
已对外发布

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