Missing values

Valid data values can be missing for many different reasons, namely:


Data analysis software has mechanisms that consider specific values (either user or system defined) as missing, and are handled differently than valid values; usually they are automatically excluded from analysis.

Statistically speaking

In the statistical literature, the following types of missing values are distinguished:

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