Fill in the blank: If a dataset contains missing values, this is indicated by the term used to denote unknown data.

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Multiple Choice

Fill in the blank: If a dataset contains missing values, this is indicated by the term used to denote unknown data.

Missing values are indicated by the term this dataset uses to denote unknown data: nulls. Nulls show that there is no recorded value for a field, meaning the data is missing or unknown. This is different from zeros, which are actual numeric values, and from outliers, which are values that lie far from the rest of the data. In some contexts you might see NaN used to represent missing or invalid numbers, but the general label for unknown data in a dataset or database is nulls.

Missing values are indicated by the term this dataset uses to denote unknown data: nulls. Nulls show that there is no recorded value for a field, meaning the data is missing or unknown. This is different from zeros, which are actual numeric values, and from outliers, which are values that lie far from the rest of the data. In some contexts you might see NaN used to represent missing or invalid numbers, but the general label for unknown data in a dataset or database is nulls.

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