| Excerpt |
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Computes the mode (most frequent value) from all row values in a column, according to their grouping. Input column can be of Integer or Decimal type. |
- If a row contains a missing or null value, it is not factored into the calculation. If the entire column contains no values, the function returns a null value.
- If there is a tie in which the most occurrences of a value is shared between values, then no value is returned from the function.
- When used in a
pivot transform, the function is computed for each instance of the value specified in the group parameter. See Pivot Transform.
For a version of this function computed over a rolling window of rows, see ROLLINGMODE Function.
| D code |
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pivot value:MODE(count_visits) group:postal_code limit:1 |
Output: Generates a two-column table containing the unique values from the postal_code column and the mode of the values in the count_visits column for the postal_code value. The limit parameter defines the maximum number of output columns.
| D code |
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pivot value:MODE(function_col_ref) [group:group_col_ref] [limit:limit_count] |
| Argument | Required? | Data Type | Description |
|---|
| function_col_ref | Y | string | Name of column to which to apply the function |
For more information on the group and limit parameters, see Pivot Transform.
function_col_ref
Name of the column the values of which you want to calculate the function. Column must contain Integer or Decimal values.
- Literal values are not supported as inputs.
- Multiple columns and wildcards are not supported.
| Required? | Data Type | Example Value |
|---|
| Yes | String (column reference) | myValues |
Example - Statistics on Test Scores
| Include Page |
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| EXAMPLE - Statistical Functions |
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| EXAMPLE - Statistical Functions |
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