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Possibly we can more easily support varying scales (e.g., parcoords and sploms) by passing scaled channels to marks, instead of having the marks invoke the scale, or by passing a function that takes an index.
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I've managed to do facet-aware parccords here https://observablehq.com/d/5e522d6993def5f9 (EDIT: notebook trashed in June 2021).
The trick is to compute the extents on the whole dataset rather as on the facet's content (which normalizeX does)
Possibly we can more easily support varying scales (e.g., parcoords and sploms) by passing scaled channels to marks, instead of having the marks invoke the scale, or by passing a function that takes an index.
The text was updated successfully, but these errors were encountered: