Q. Why is missing data filled in DataFrame with some value?
Answer :-
Missing Data is a very big problem in a real-life scenarios. Missing Data can also refer to as NA(Not
Available) values in pandas. In DataFrame sometimes many datasets
simply arrive with missing data, either because it exists and was not
collected or it never existed.
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