Computes a specified percentile across all row values in a column or group. Input column can be of Integer or Decimal. |
pivot
transform, the function is computed for each instance of the value specified in the group
parameter. See Pivot Transform.percentile(myScores, 25, linear) |
Output: Computes the value that is at the 25th percentile across all values in the myScores column.
percentile(function_col_ref,num_percentile,interpolation_method) [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 |
num_percentile | Y | integer | Integer value between 1-100 of the percentile to compute |
interpolation_method | Y | enum | Method by which to interpolate values between two row values. See below. |
For more information on the group
and limit
parameters, see Pivot Transform.
Name of the column the values of which you want to calculate the percentile. Column must contain Integer or Decimal values.
Required? | Data Type | Example Value |
---|---|---|
Yes | String (column reference) | precipitationIn
|
Integer literal value indicating the percentile that you wish to compute. Input value must be between 1
and 100
, inclusive.
Required? | Data Type | Example Value |
---|---|---|
Yes | Integer | 55 |
Method of interpolation between each discrete value. The list of support methods is the following:
Interpolation method | Description |
---|---|
linear | Percentiles are calculated between two discrete values in a linear fashion. |
exclusive | Excludes 0 and 1 from calculation of percentiles. |
inclusive | Includes 0 and 1 from calculation of percentiles. |
lower | Use the lower value when the computed value falls between two discrete values. |
upper | Use the upper value when the computed value falls between two discrete values. |
midpoint | Use the midpoint value when the computed value falls between two discrete values. |
Required? | Data Type | Example Value |
---|---|---|
Yes | Enum | linear
|