Blocks: Creating Rich Tables with Drag-and-Drop Interaction

Description: 

rich table showing data about Airbnb listings in Seattle, created with Blocks.

 

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 through
drag-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.

 

 

Authors: 
Allison Whilden
Dirk Karis
Vidya Setlur
Rodion Degtyar
Jonathan Que
Filippos Lymperopoulos
Publication Date: 
Monday, June 13, 2022
Publication Information: 
EuroVIS 2022, June 13-17, 2022 (to appear)