Which of the following is NOT a recommended way of dealing with missing values:Group of answer choicesUse a model with predicts the missing value from the other fieldsRemove the whole column if there are missing values in some row of that columnPut a NULL where there is a missing valueRemove the whole row if there are missing values in some column of that row
Question
Which of the following is NOT a recommended way of dealing with missing values:Group of answer choicesUse a model with predicts the missing value from the other fieldsRemove the whole column if there are missing values in some row of that columnPut a NULL where there is a missing valueRemove the whole row if there are missing values in some column of that row
Solution
The option "Remove the whole column if there are missing values in some row of that column" is NOT a recommended way of dealing with missing values.
This is because removing an entire column due to some missing values can lead to a significant loss of information, especially if the column is important for the analysis or prediction. It's better to use other methods like imputation, where the missing values are filled in with estimated ones, or removing only the specific rows with missing values, which is less drastic.
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