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Tidy Tuesday python: translating women in the workforce
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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:
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:
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