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Re:HyperTools: A Python toolbox for gaining insights into hi... by Blahah on Saturday April 28, 2018 @06:31PM (#16949772)
Good visualisation of high dimensional data is almost all about the mental model and mapping of dimensions, barely ever about the library. ggplot2 is excellent for displaying high dimensional data in R if you can reason well about your own data. If you can't, no library is going to save you.
Re:HyperTools: A Python toolbox for gaining insights into hi... by SubiculumCode on Saturday April 28, 2018 @06:34PM (#16949787)
Well I already use ggplot. I'm not sure ggplot does 3D much.... About the reasoning, well who knows.
Re:HyperTools: A Python toolbox for gaining insights into hi... by Blahah on Saturday April 28, 2018 @06:36PM (#16949799)
If you present an example of high-dimensional data I'd be happy to help you reason about how to visualise it (although this is perhaps better suited to StackExchange).

edit: if you feel you need 3D, you've already failed to represent the data clearly

Re:HyperTools: A Python toolbox for gaining insights into hi... by p1esk on Saturday April 28, 2018 @10:18PM (#16950425)
if you feel you need 3D, you've already failed to represent the data clearly

Why?

Re:HyperTools: A Python toolbox for gaining insights into hi... by nhlism on Sunday April 29, 2018 @03:23AM (#16951047)
I took a visualization course and to paraphrase the prof. you have a 3d object projected onto a 2d (display) plane and reasoning about depth gives additional mental load, not to mention occlusion. You have to interact with the model a lot to get a view you want. The course was based on old papers about UX with a dash of cognitive science, so take it with a grain of salt.
Re:HyperTools: A Python toolbox for gaining insights into hi... by Blahah on Sunday April 29, 2018 @09:37AM (#16951941)
Yup, this. There's almost always a way to represent the data that allows clearer interpretation.
Re:HyperTools: A Python toolbox for gaining insights into hi... by SubiculumCode on Sunday April 29, 2018 @02:05AM (#16950878)
He is umm. very opinionated. Its kind of like saying why need two dimensions, surely a 1D vector is good enough..