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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, Decimal, or |
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Datetime type. |
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- 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 the lowest value of the evaluated set is returned from the function.
- When used in a a
pivottransform transform, the function is computed for each instance of the value specified in thegroupparameter. See See Pivot Transform.
For a version of this function computed over a rolling window of rows, see ROLLINGMODE , see ROLLINGMODE Function.
Datetime inputs to this function return Unixtime values.
- These values can be wrapped in a DATEFORMAT function. See DATEFORMAT Function.
- For a date-native version of this function, see MODEDATE Function.
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| MODE
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mode(count_visits) |
Output: Generates a two-column table containing the unique values from the postal_code column and the Returns 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. column.
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| MODE
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mode(function_col_ref) [group:group_col_ref] [limit:limit_count] |
| Argument | Required? | Data Type | Description |
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| function_col_ref | Y | string | Name of column to which to apply the function |
For more information on the the group and and limit parameters parameters, see see Pivot Transform.
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Name of the column the values of which you want to calculate the function. Column must contain Integer, Decimal, or Decimal values.Datetime values.
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NOTE: If the input is in Datetime type, the output is in unixtime format. You can wrap these outputs in the DATEFORMAT function to generate the results in the appropriate Datetime format. See DATEFORMAT Function. |
- Literal values are not supported as inputs.
- Multiple columns and wildcards are not supported.
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Include Page EXAMPLE - Statistical Functions EXAMPLE - Statistical Functions
D s also label aggregate
