VisClean: Interactive Cleaning for Progressive Visualization

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

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Abstract

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.

Original languageEnglish
Pages (from-to)2821-2824
Number of pages4
JournalProceedings of the VLDB Endowment
Volume13
Issue number12
DOIs
Publication statusPublished - 2020
Externally publishedYes

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Luo, Y., Chai, C., Qin, X., Tang, N., & Li, G. (2020). VisClean: Interactive Cleaning for Progressive Visualization. Proceedings of the VLDB Endowment, 13(12), 2821-2824. https://doi.org/10.14778/3415478.3415484