Maximising the value of missing data

missing. Thus, it is important to understand the difference between ‘missing’ data and ‘empty’ data. A value that is not known but which has a real value is a ‘missing’ value. A value that is not known but which cannot have a real value is an ‘empty’ value. Therefore, missing data can be imputed but empty data cannot be imputed. ................
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