QUANTILE_CONT (Lakehouse v1)

Aggregate function.

The QUANTILE_CONT() function computes the interpolated quantile number of a numeric data sequence.

Caution

NULL values are not counted.

Analyze Syntax

func.quantile_cont(<levels>, <expr>)

Analyze Examples

func.quantile_cont(0.5, table.sales_amount).alias('median_sales_amount')

|  median_sales_amount  |
|-----------------------|
|        6000.0         |

SQL Syntax

QUANTILE_CONT(<levels>)(<expr>)

QUANTILE_CONT(level1, level2, ...)(<expr>)

Arguments

Arguments	Description
<level(s)	level(s) of quantile. Each level is constant floating-point number from 0 to 1. We recommend using a level value in the range of [0.01, 0.99]
<expr>	Any numerical expression

Return Type

Float64 or float64 array based on level number.

SQL Examples

Create a Table and Insert Sample Data

CREATE TABLE sales_data (
  id INT,
  sales_person_id INT,
  sales_amount FLOAT
);

INSERT INTO sales_data (id, sales_person_id, sales_amount)
VALUES (1, 1, 5000),
       (2, 2, 5500),
       (3, 3, 6000),
       (4, 4, 6500),
       (5, 5, 7000);

Query Demo: Calculate 50th Percentile (Median) of Sales Amount using Interpolation

SELECT QUANTILE_CONT(0.5)(sales_amount) AS median_sales_amount
FROM sales_data;

Result

|  median_sales_amount  |
|-----------------------|
|        6000.0         |