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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 “g
by legel 8y ago
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 a coworker / investor. Hope it continues to really develop conceptually and practically!
- SubiculumCode 8y agoDo you happen to know of a good graphing package for high dimensional data in R?
- Blahah 8y agoGood 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.
- SubiculumCode 8y agoWell I already use ggplot. I'm not sure ggplot does 3D much.... About the reasoning, well who knows.
- Blahah 8y agoIf 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
- deleted 8y ago[deleted]
- p1esk 8y agoif you feel you need 3D, you've already failed to represent the data clearly Why?
- SubiculumCode 8y agoHe is umm. very opinionated. Its kind of like saying why need two dimensions, surely a 1D vector is good enough..
- nhlism 8y agoI 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.
- Blahah 8y agoYup, this. There's almost always a way to represent the data that allows clearer interpretation.
- hawktheslayer 8y agoI find the best way for my feeble mind to understand more than 3 or 4 dimensions is a parallel coordinate graph where you can view the relationships between two of the dimensions at a time. You can do this interactively in R using plotly: https://plot.ly/r/parallel-coordinates-plot/ https://plot.ly/r/parallel-coordinates-plot/
- wodenokoto 8y agoAs 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.
- SubiculumCode 8y agoso it seems, looking at their gallery, and I'd rather just write the lines calling pca, or whatever.
- hadley 8y agoYou should take a look at tourrr which implements a bunch of "grand tour" algorithms in R. These take your on a smooth tour of random projections of your data, visualised in various ways (including into 3d if you have some red-blue 3d glasses!)
- SubiculumCode 8y agoInteresting thanks