Considering Agency and Data Granularity in the Design of Visualization Tools
summary
Comparing hands-on Evolver and attribute-driven Tableau through workshops yields 17 unique ideas grouped into eight types and three solution families: automated iteration, collective proxy objects, and automated principle design. The paper builds a two‑axis design space — agency (who makes choices) versus granularity (values, attributes, tables, visuals) — and maps tools like Voyager and Watson Analytics onto it, showing concrete trade-offs and practical strategies for scaling bottom‑up visual authoring without losing transparency.
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