B2: Bridging Code and Interactive Visualization in Computational Notebooks
summary
B2 instruments data frames to track queries and automatically synthesizes visualizations into a dashboard that mirrors notebook provenance, reifies interactions as a history log of code cells, and supports reactive cells that auto-recompute when selections change. Implementation exposes the generated visualization code and a get_filtered_data API so selection results are addressable from Python. A lab study with seven data scientists shows frequent back-and-forth between code and visuals and reports faster, less tedious exploratory analysis.
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