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Pandas has a Nigeria problem, where NA -> NaN.

It's not that bad, because you can explicitly turn that behavior off, but ask me how I know =(



That's a Namibia problem, Nigeria is NG.


Damn, you're right ^^' Thanks for pointing that out


How?


For example when reading a CSV. Try using `read_csv` on a file that contains two letter country codes including NA.




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