SCATTERSEARCH: Visual Querying of Scatterplot Visualizations
Human-Computer Interaction
2019-07-30 v1 Databases
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.
Keywords
Cite
@article{arxiv.1907.11743,
title = {SCATTERSEARCH: Visual Querying of Scatterplot Visualizations},
author = {Doris Jung-Lin Lee and Jaewoo Kim and Renxuan Wang and Aditya Parameswaran},
journal= {arXiv preprint arXiv:1907.11743},
year = {2019}
}