I also plan to 1) make the repository public and 2) re-release the code under a more permissive license once we're a bit further into the publication process

it's *wild* to finally see this thing compiling to pdf--and clocking in at ~600 pages 😵

digital version still works better for interactivity, but if anyone wants to offer feedback, please share

www.dropbox.com/scl/fi/861z6...

(I'm aware of lingering formatting issues, especially tables)

My third point is that the large rise in Black unemployment over the past few months is a reminder that aggregate demand has important distributional consequences. Strong labor markets disproportionately help less privileged workers, weaker labor markets disproportionately hurt them.

ah, ok, so i think the issue is when you fire off a `df.plot()` (or `gdf.plot()`) it only emits the matplotlib *axes* object, and quarto needs an actual Figure object to recognize a figure. So you need to force the cell to emit a *figure* by doing `pyplot.show()` if no explicit pyplot in the cell

instead i get

😑

lol omg ffmpeg. 100% all of this

for the longest time i thought the blocks were placeholders for the different characters refusing to render, as opposed to the actual troublesome characters themselves 😂

i kept getting unicode errors in the log and was convinced it was emoji-related for awhile; kept changing engines to xelatex, lua, tectonic then finally realized its the *block* characters, █ (U+2588), and there's like 1k of them at different widths

often people resort to 'data driven neighborhoods', i.e. geodemographics or regionalization algos where 'neighborhood' means an area of relative homogeneity across many social indicators--but thats not really the same as officially demarcated boundaries. Maybe see oturns.github.io/geosnap-guide/

depends on what you mean by "actual neighborhoods". Usually there's no such thing. There are special cases like chicago or pittsburgh where 'neighborhood' means something historically so there are established boundaries but in most places there's no "real" delineation (so no official data to draw)

(that said, still very proud of california for having opportunity analysis part of the formal policymaking process)