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*Function type: Aggregate or Selector
**Output data type:* Float | Record
When using the estimate_tdigest or exact_mean methods, it outputs non-null records with values that fall within the specified quantile.
When using the method, it outputs the non-null record with the value that represents the specified quantile.
The column to use to compute the quantile. Defaults to "_value".
A value between 0 and 1 indicating the desired quantile.
*Data type: Float*
Defines the method of computation.
*Data type: String*
estimate_tdigest
An aggregate method that uses a t-digest data structure to compute an accurate quantile estimate on large data sources.
exact_mean
An aggregate method that takes the average of the two points closest to the quantile value.
exact_selector
A selector method that returns the data point for which at least q points are less than.
Indicates how many centroids to use when compressing the dataset. A larger number produces a more accurate result at the cost of increased memory requirements. Defaults to .
