When data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by filling in the average of the values around the missing data.
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One way to handle this problem is to get rid of the observations that have missing data.
so, you will risk losing data points with valuable information.
A better strategy would be to impute the missing values.
In other words we can say that:-
we need to infer those missing values from the existing part of the data.
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