SCATTERSEARCH: Visual Querying of Scatterplot Visualizations
July 26, 2019 Β· Declared Dead Β· π arXiv.org
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Authors
Doris Jung-Lin Lee, Jaewoo Kim, Renxuan Wang, Aditya Parameswaran
arXiv ID
1907.11743
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.DB
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Scatterplots are one of the simplest and most commonly-used visualizations for understanding quantitative, multidimensional data. However, since scatterplots only depict two attributes at a time, analysts often need to manually generate and inspect large numbers of scatterplots to make sense of large datasets with many attributes. We present a visual query system for scatterplots, SCATTERSEARCH, that enables users to visually search and browse through large collections of scatterplots. Users can query for other visualizations based on a region of interest or find other scatterplots that "look similar'' to a selected one. We present two demo scenarios, provide a system overview of SCATTERSEARCH, and outline future directions.
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