Interactive Data Widgets
Instead of only viewing data, users can select, modify, and create data directly within visualizations. Imagine drawing a crescent-shaped selection on a scatterplot, sketching a target time-series pattern, or adding points directly in the plot. viaWidgets turn visualizations into modular tools that feed structured input back into data workflows, particularly useful in notebook environments.
This idea builds on prior research and modern notebook widget ecosystems, showing how richer interaction can bridge visual exploration and coding.
Read the paper: https://osf.io/pme8j