QUANTILE_DISC
Aggregate function.
The QUANTILE_DISC()
function computes the exact quantile number of a numeric data sequence.
The QUANTILE
alias to QUANTILE_DISC
Caution: NULL values are not counted.
Analyze Syntax
func.quantile_disc(<levels>, <expr>)
Analyze Examples
func.quantile_disc([0.25, 0.75], table.salary).alias('salary_quantiles')
| salary_quantiles |
|---------------------|
| [55000.0, 65000.0] |
SQL Syntax
QUANTILE_DISC(<levels>)(<expr>)
QUANTILE_DISC(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
InputType or array of InputType based on level number.
SQL Examples
Create a Table and Insert Sample Data
CREATE TABLE salary_data (
id INT,
employee_id INT,
salary FLOAT
);
INSERT INTO salary_data (id, employee_id, salary)
VALUES (1, 1, 50000),
(2, 2, 55000),
(3, 3, 60000),
(4, 4, 65000),
(5, 5, 70000);
Query Demo: Calculate 25th and 75th Percentile of Salaries
SELECT QUANTILE_DISC(0.25, 0.75)(salary) AS salary_quantiles
FROM salary_data;
Result
| salary_quantiles |
|---------------------|
| [55000.0, 65000.0] |
Last modified June 11, 2024 at 9:00 PM EST: clean up cautions and notes (d4a1b9a)