We introduce a new framework describing different modalities for interacting with dataframes, via 1) directly through the dataframe API, 2) attach a high-level intent, 3) user-defined action, or 4) specified views.
We develop novel dataframe-based recommendations that visualize not only dataframes, but also other data structures (e.g., Index and Series).
Sneak preview of how Lux works under the hoods:
Check out the paper to learn more about:
+ design motivation for our always-on approach to vis rec
+ high-level language and grammar for dataframe intent
+ optimizations and benchmark for large dataframes
+ field studies with real-world Lux users arxiv.org/pdf/2105.00121…
Thoughts and feedback are welcomed!
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