I translate an analysis on women in the workforcefrom R into python, without looking beforehand. It involves some complex aggregations and plotting. I used siuba, a python library designed to streamline data analysis.
Some interesting siuba features that come up here are
checking what rows you're filtering
how to re-use part of a pipe
complex aggregations!
Links:
siuba: https://github.com/machow/siuba
final notebook: https://mchow.com/tidytuesday-py/wome...
tidy tuesday: https://github.com/rfordatascience/ti...
original analysis: https://github.com/dgrtwo/data-screen...