Data Formulator: AI-powered Concept-driven Visualization Authoring
Chenglong Wang,
John Thompson,
Bongshin Lee
Abstract:With most modern visualization tools, authors need to transform their data into tidy formats to create visualizations they want. Because this requires experience with programming or separate data processing tools, data transformation remains a barrier in visualization authoring. To address this challenge, we present a new visualization paradigm, concept binding, that separates high-level visualization intents and low-level data transformation steps, leveraging an AI agent. We realize this paradigm in Data Form… Show more
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