Look through literally any system-based ML paper. They've all got figures! Because they're necessary! And many, many, many more were likely created during the research and development process.
Anyway, if you're looking for a good very intro guide, I like:
The R for Data Science chapter for R: https://r4ds.had.co.nz/data-visualisation.html
The @firstname.lastname@example.org intro to Python: https://swcarpentry.github.io/python-novice-inflammation/
(Notice that plotting is basically the first thing taught in these courses! Not a coincidence!)
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