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Data scientists have embraced computational notebooks to author analysis code and accompanying visualizations within a single document. Currently, although these media may be interleaved, they remain siloed: interactive visualizations must be manually specified as they are divorced from the analysis provenance expressed via dataframes, while code cells have no access to users' interactions with visualizations, and hence no way to operate on the results of interaction. To bridge this divide, we
doi:10.1145/3379337.3415851
dblp:conf/uist/WuHS20
fatcat:bflx52diczcfrpl52ti7zasjc4