QUANTILE_TDIGEST
Introduced or updated: v1.2.41
Computes an approximate quantile of a numeric data sequence using the t-digest algorithm.
note
NULL values are not included in the calculation.
Syntax
QUANTILE_TDIGEST(<level1>[, <level2>, ...])(<expr>)
Arguments
Arguments | Description |
---|---|
<level n> | A level of quantile represents a constant floating-point number ranging from 0 to 1. It is recommended to use a level value in the range of [0.01, 0.99]. |
<expr> | Any numerical expression |
Return Type
Returns either a Float64 value or an array of Float64 values, depending on the number of quantile levels specified.
Example
-- 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);
SELECT QUANTILE_TDIGEST(0.5)(sales_amount) AS median_sales_amount
FROM sales_data;
median_sales_amount|
-------------------+
6000.0|
SELECT QUANTILE_TDIGEST(0.5, 0.8)(sales_amount)
FROM sales_data;
quantile_tdigest(0.5, 0.8)(sales_amount)|
----------------------------------------+
[6000.0,7000.0] |