STDDEV_ POP
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Returns the population standard deviation for non-NULL values.
May be used as a window function and with the frame clause.
Syntax
Aggregate Function
STDDEV_POP ( [ DISTINCT ] <expression> )
Window Function & Window Frame Clause
STDDEV_POP ( [ DISTINCT ] expr ) OVER ([ PARTITION BY expr][ ORDER BY expr ] [<window_frame>])
Arguments
-
expression: numeric, uses standard deviation for calculating .
Return Type
A double.
Examples
The following table and values were used for the examples:
Aggregate Function
CREATE TABLE coordinates(x_axis decimal (5,2),y_axis decimal (7,2),z_axis decimal (10,2));INSERT INTO coordinates VALUES (2, 5, 9),(7, 15, null),(8, 1, 12),(5, 7, 0),(8, 6, 1),(null, 7, 11);
SELECT x_axis, STDDEV_POP(z_axis), STDDEV_POP(y_axis)FROM coordinates GROUP BY x_axis;
+--------+-------------------+--------------------+
| x_axis | STDDEV_POP(z_axis)| STDDEV_POP(y_axis) |
+--------+-------------------+--------------------+
| 5.00 | 0.000000 | 0.000000 |
| 2.00 | 0.000000 | 0.000000 |
| NULL | 0.000000 | 0.000000 |
| 8.00 | 5.500000 | 2.500000 |
| 7.00 | NULL | 0.000000 |
+--------+-------------------+--------------------+
Window Function
CREATE TABLE player_scores(player_name VARCHAR(50), player_id VARCHAR(10),1st_qtr_score DECIMAL(5,2), 2nd_qtr_score DECIMAL(5,2),3rd_qtr_score DECIMAL(5,2), 4th_qtr_score DECIMAL(5,2),yearly_total AS 1st_qtr_score + 2nd_qtr_score + 3rd_qtr_score + 4th_qtr_score PERSISTED DECIMAL(5,2));INSERT INTO player_scores VALUES('Steve', '119','22.50','72.00', '63.00', '45.00'),('Jack', '432', '90.10', '78.00','88.20', '92.20'),('Jim', '779','75.00', '68.90','55.70', '72.00'),('Eve', '189','91.50', '88.10', '95.00', '94.50'),('Shelia','338', '75.60', '72.00', '81.10', '78.40'),('June', '521', '81.00', '87.30','76.80','82.20'),('Martin', '674','98.80', '95.10', '88.00', '96.40');
SELECT player_name, 1st_qtr_score,ROUND(STDDEV_POP(yearly_total) OVER (ORDER BY player_name, yearly_total)) AS STDDEV_POPFROM player_scoresORDER BY player_name;
+-------------+---------------+------------+
| player_name | 1st_qtr_score | STDDEV_POP |
+-------------+---------------+------------+
| Eve | 91.50 | 0 |
| Jack | 90.10 | 10 |
| Jim | 75.00 | 42 |
| June | 81.00 | 36 |
| Martin | 98.80 | 38 |
| Shelia | 75.60 | 37 |
| Steve | 22.50 | 57 |
+-------------+---------------+------------+
Window Frame Clause
SELECT player_name, 1st_qtr_score, 2nd_qtr_score,ROUND(STDDEV_POP(1st_qtr_score) OVER (ORDER BY player_name, 1st_qtr_score, 2nd_qtr_score ROWS UNBOUNDED PRECEDING)) AS STDDEV_POPFROM player_scoresORDER BY player_name;
+-------------+---------------+---------------+------------+
| player_name | 1st_qtr_score | 2nd_qtr_score | STDDEV_POP |
+-------------+---------------+---------------+------------+
| Eve | 91.50 | 88.10 | 0 |
| Jack | 90.10 | 78.00 | 1 |
| Jim | 75.00 | 68.90 | 7 |
| June | 81.00 | 87.30 | 7 |
| Martin | 98.80 | 95.10 | 8 |
| Shelia | 75.60 | 72.00 | 9 |
| Steve | 22.50 | 72.00 | 23 |
+-------------+---------------+---------------+------------+
Last modified: February 23, 2023