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Now that plotly has an F# library (adapted to lambda function UX), integrating data visualization features should be rather straight forward.
Most functions would simply modify the existing predefined graph object represented by a record that is converted to json value to be returned by the sequence of plotting functions which could then be piped into a rendering function or automatically rendered on the frontend.
Most of the design effort should be focused in the smooth UX when combining pipe sequences and poly record arguments.
The text was updated successfully, but these errors were encountered:
Now that plotly has an F# library (adapted to lambda function UX), integrating data visualization features should be rather straight forward.
Most functions would simply modify the existing predefined graph object represented by a record that is converted to json value to be returned by the sequence of plotting functions which could then be piped into a rendering function or automatically rendered on the frontend.
Most of the design effort should be focused in the smooth UX when combining pipe sequences and poly record arguments.
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The text was updated successfully, but these errors were encountered: