Q. What is missing data? Why is it considered a problem?
Answer :-
Missing Data means when no information is provided for one or more items or for a whole unit. Missing Data can also refer to as NA (Not Available) values in Pandas. Pandas puts NaN in place of missing data in dataframes.
Missing Data is a very big problem in real life scenario. This is because, the presence of NaN hampers calculations because Nan cannot be used in calculations and in fact, it makes the whole calculation result as NaN.
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