HyperTools: A Python toolbox for gaining insights into high-dimensional data

Post by SubiculumCode » Sun, Apr 29, 2018, 8:34 AM UTC

wodenokoto wrote: post #20

SubiculumCode wrote: post #3

Earlier quoted context omitted.

Do you happen to know of a good graphing package for high dimensional data in R?

As far as I can tell, HyperTools are a bunch of convenience functions for doing something along the lines of the following dummy R code df %>% dim_reduction_function() %>% ggplot() + geom_*() So in a sense, I think you should be looking for a dimensionality reduction library, rather than a plotting library.

Post by Blahah » Sun, Apr 29, 2018, 1:37 PM UTC

nhlism wrote: post #19

p1esk wrote: post #15

Earlier quoted context omitted.

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

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.

Post by hadley » Sun, Apr 29, 2018, 4:55 PM UTC

SubiculumCode wrote: post #3

legel wrote: post #2

Looks neat and wonderful. It’s always impossible to compress all structure from high dimensions to 2D or 3D via something like PCA or t-SNE, and the focus on “geometric” insight is also encouraging. Cool/appropriate name too, nice choice of well-supported dependencies, and minimalist design are all appealing. This could become a go-to toolkit for early stage exploration, while it’s also pretty and smart enough to wow…

Do you happen to know of a good graphing package for high dimensional data in R?