How to Handle Missing Data in a Database?
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One way to deal with missing data in a database is to:
Ignoring: During analysis, ignoring rows with missing values.
Imputing is the process of substituting a default value, mean, median, or value obtained from additional data for missing variables.
Elimination: Taking out rows or columns that contain a significant number of missing values.
Using Placeholders: Using a particular placeholder to indicate missing values
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