[autokad]

the libraries have grown nicely over the years, though I am surprised they still lack some basic stuff.

why in 2019 is there no good way to visualize a decision tree? having to install, configure, and get working graphviz feels very hoaky.

I prefer python, but R still does some things really well that the python libraries are just not up to par

1) anything geospatial, including drawing maps. here is a list of projects my students did to give examples: https://pennmusa.github.io/MUSA_801.io/

2) time series

3) linear models, is it so hard to give me a good summary?

If anyone knows of any packages that do these >= R, I'd love to see them :)

[stevesimmons]

> why in 2019 is there no good way to visualize a decision tree?

You should try https://github.com/parrt/dtreeviz. From Terrence Parr and Vince Grover, released in Sept 2018.

There is a good background article on the problem space and their design iterations here: https://explained.ai/decision-tree-viz/index.html

[autokad]

thanks for the info, but as I said above anything that relies on the installation of graphiz is extremely hoaky, and as you can see on many posts on SO, doesnt work many times.