I will upload the map next week on #GitHub after fixing some minor geography issues.

For "getcensus" three useful threads:
https://twitter.com/AsjadNaqvi/status/1578507691378372609

https://twitter.com/toddrjones/status/1597617974478659584

---
RT @narixyoo
Thanks to @asjadnaqvi, we can easily create bivariate maps in @Stata using #bimap package. Here is the step-by-step guide! https://gahwan.com/stata-how-to-create-the-bivariate-map-bi…
https://twitter.com/narixyoo/status/1625717499223322627

The #Stata #bimap package is less than a year old but, this is one of the most used ones. Thank you for all the feedback and comments and suggestions for upgrades! Keep sending them.

---
RT @asjadnaqvi
Dropping a new @Stata package "bimap" for #bivariate #maps:

ssc install bimap, replace

and then simply:

bimap vary varx using shapefile, cut(option) palette(option)

Check it out!!

#dataviz #Stataviz
https://twitter.com/AsjadNaqvi/status/1514230487904145413

One also define any custom color (as names or Hex codes) for starting, last x-axis, and last y-axis #bimap categories, and let the program engine do the rest:

bimap share_afam share_hisp using county_shp2, palette(bluered) clr0(yellow) bins(6) values

One can define any custom set of cut-offs for one or both #bimap axes and show exact scaling of the cutoffs:

bimap share_afam share_hisp using county_shp2, palette(bluered) ///
bins(4) values cutx(10 25 45 75) cuty(10 20 40 50)binsproper

New #bimap palettes can generate any number of bins including color swaps:

bimap share_afam share_hisp using county_shp2, palette(yellowblue) values count bins(6)

bimap share_afam share_hisp using county_shp2, palette(yellowblue) values count bins(6) reverse

A comparison between old (L) & the new #bimap palettes (R):

// old. 3x3 pre-defined
bimap share_afam share_hisp using county_shp2, palette(pinkgreen0) values count

// new. Auto generated
bimap share_afam share_hisp using county_shp2, palette(pinkgreen) values count