Whilden, AllisonKaris, DirkSetlur, VidyaDegtyar, RodionQue, JonathanLymperopoulos, FilipposAgus, MarcoAigner, WolfgangHoellt, Thomas2022-06-022022-06-022022978-3-03868-184-7https://doi.org/10.2312/evs.20221094https://diglib.eg.org:443/handle/10.2312/evs20221094We 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.Attribution 4.0 International LicenseCCS Concepts Human-centered computing --> Information visualizationCCS Concepts Humancentered computingInformation visualization10.2312/evs.2022109461-655 pages