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observablehq
1-d KDE transform?
(As mentioned in a few places: #948, #943, #791.)
We can look at https://github.com/uwdata/fast-kde/ for speed, and https://observablehq.com/@d3/kernel-density-estimation for a more straightforward implementation. Could be used to create violin plots, etc. Building on our 2-d implementation, the efficient approach might be to just bin (with linear binning for when a point doesn't fall exactly on a point) then blur.
An (old) experimental notebook: https://observablehq.com/@observablehq/fast-kde-and-plot/2
(2-d KDE is addressed by the density mark.)
Examples would include violin plots
(Need to add some padding.)
I would really like KDE as well. It would be great if it also worked with brushing / selection of data. Then I could show a histogram as solid bars and overlay it with the KDE as a thin curve, and the user could brush / select a part of the plot, and I could then get the selected histogram and KDE values so I can use them elsewhere. If that is possible? Thanks!
