Blocks: Creating Rich Tables with Drag-and-Drop Interaction
Short Paper Proceedings of EuroVIS 2022, June 13-17, 2022 (Best Short Paper Honorable Mention)
We present Blocks, a formalism that enables the building of visualizations by specifying layout, data relationships, and level of detail (LOD) for specific portions of the visualization. Users can create and manipulate Blocks on a canvas interface throughdrag-and-drop interaction, controlling the LOD of the data attributes for tabular style visualizations. We conducted a user study to compare how 24 participants employ Blocks and Tableau to complete a target visualization task. Findings from the study suggest that Blocks is a useful mechanism for creating visualizations with embedded microcharts, conditional formatting, and custom layouts. We describe future directions for extending Blocks in visual analysis interfaces.
Autores do Tableau
Autor(es)
Allison Whilden, Rodion Degtyar, Jonathan Que, Filippos Lymperopoulos
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