Which of the following is NOT a recommended way of dealing with missing values:Group of answer choicesPut a NULL where there is a missing valueRemove the whole column if there are missing values in some row of that columnUse a model with predicts the missing value from the other fieldsRemove 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 choicesPut a NULL where there is a missing valueRemove the whole column if there are missing values in some row of that columnUse a model with predicts the missing value from the other fieldsRemove the whole row if there are missing values in some column of that row
Solution
The NOT recommended way of dealing with missing values is: "Remove the whole column if there are missing values in some row of that column."
Explanation: Removing an entire column because of some missing values can lead to a significant loss of information. It's generally better to use other methods to handle missing values, such as imputation, where the missing values are filled in with estimated ones, or deletion, where only the specific rows with missing values are removed. The choice between these methods depends on the nature of the data and the specific analysis being performed.
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