SCATTERSEARCH: Visual Querying of Scatterplot Visualizations
This addresses the challenge for data analysts dealing with high-dimensional data, though it appears incremental as it builds on existing visualization query concepts.
The paper tackles the problem of manually generating and inspecting many scatterplots for large datasets by introducing SCATTERSEARCH, a visual query system that allows users to search and browse scatterplot collections based on regions of interest or visual similarity.
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.