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All ingredients needed exist in some shape or form. I just haven't seen them combined. I see it as a general table filtering tool.

Parallel Sets recalculated into Parallel Coordinates is a good start. Let's try:

n1, n2, n3, etc., parallel_sets mapped on 0-1 parallel_coordinates
N=sum(n1,n2,n3,..)
stroke-width = 1/N
y= (i-1/2) * (1/N)

Within the set keep the same order as in the neighboring coordinates, or if you have coordinates on both sides, take a sort of average.

If built, it would help many more people from a proper home, therefore I suggested it to GGally: ggobi/ggally#473

JMP software does ParallelCoordinates and ParallelSets chart types combined in one chart

Here you see the chart types coupled, but below each other, interacted with: Parallel coordinates and parallel sets together seems like a great exploratory data analysis tool

To be reproducible (or replayable on a different data set) you need the GUI-actions captured and possible to replay: shinymeta, making GUI-actions reproducible

https://plotly.com/python/parallel-coordinates-plot/

Now if you could turn your shinyGUI-actions into the more generally used SQL, it would make it awesome power tool. (tidyverse<>SQL things exist, e.g. https://dbplyr.tidyverse.org/articles/translation-verb.html ), would be close to perfect

Quak: https://github.com/manzt/quak

Possible application:

For material properties: Ashby plots, also see https://www.ansys.com/products/materials/granta-edupack (Nog in Blackboard onder "Start" in lijst?)

other exploratory data visualization:

DataExplorer create_report() function in R

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