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 v alue.
- 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.

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.

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