Looks good.
Personally I'd be interested to know how geoplot relates to geopandas, both seem to provide some way of directly plotting geoiniformation stored in dataframes, right?

Question for everyone: The amount of third-party packages has increased a lot lately (which is great of course!); could it make sense to shrink all the images to half their size such that the page is not so crowded?

Thanks @ResidentMario !!!

I agree @ImportanceOfBeingErnest on either resizing the figs or restructuring that page/section all together, but I think it's out of scope for this PR.

Personally I'd be interested to know how geoplot relates to geopandas, both seem to provide some way of directly plotting geoiniformation stored in dataframes, right?

I like to compare the relationship between geoplot and geopandas inbuilt plotting features to that between seaborn and the pandas inbuilt plotting features.

Very simple things can be achieved with geopandas.plot without needing any third-party library to do them. If you want to do something more complicated, a third party library providing more complex chart archetypes becomes necessary. seaborn is basically the first-choice third party plotting library for DataFrame data, and geoplot hopes to be the same for maps.

To extend the analogy further...if you want to make a fully custom map, you're best off using cartopy to do it. Similarly, if you want to make a fully custom regular 'ol plot, you're best off using matplotlib to do it. If you want a well-understood canned map, geoplot probably does it. If you want a well-understood canned visualization, seaborn probably does it.