:orphan: .. _var_pop: ************************** VAR_POP ************************** Returns the population variance of values. .. note:: Aliases to this function include ``VARP`` for compatibility. See also: :ref:`stddev_samp` Syntax ========== .. code-block:: postgres -- As an aggregate VAR_POP( expr ) VARP( expr ) -- As a window function VAR_POP ( expr ) OVER ( [ PARTITION BY value_expression [, ...] ] [ ORDER BY value_expression [ ASC | DESC ] [ NULLS { FIRST | LAST } ] [, ...] ] [ frame_clause ] ) Arguments ============ .. list-table:: :widths: auto :header-rows: 1 * - Parameter - Description * - ``expr`` - Numeric expression Returns ============ Returns the population variance with type ``DOUBLE``. Notes ======= * When all rows contain ``NULL`` values, the function returns ``NULL``. Examples =========== For these examples, assume a table named ``nba``, with the following structure: .. code-block:: postgres CREATE TABLE nba ( "Name" TEXT, "Team" TEXT, "Number" TINYINT, "Position" TEXT, "Age" TINYINT, "Height" TEXT, "Weight" REAL, "College" TEXT, "Salary" FLOAT ); Here's a peek at the table contents (:download:`Download nba.csv `): .. csv-table:: nba.csv :file: nba-t10.csv :widths: auto :header-rows: 1 Simple variance ---------------------------- .. code-block:: psql t=> SELECT "Team", VAR_POP("Age") FROM nba GROUP BY 1 LIMIT 10; Team | var_pop ----------------------+-------- Atlanta Hawks | 16.6933 Boston Celtics | 7.5289 Brooklyn Nets | 8.5067 Charlotte Hornets | 9.3156 Chicago Bulls | 16.3733 Cleveland Cavaliers | 15.8489 Dallas Mavericks | 12.8622 Denver Nuggets | 20.9956 Detroit Pistons | 18.4267 Golden State Warriors | 13.8222 Combine ``VARP`` with other aggregates ------------------------------------------- .. code-block:: psql t=> SELECT "Age", AVG("Salary"), VARP("Salary"), STDDEV_POP("Salary") FROM nba GROUP BY 1; Age | avg | var_pop | stddev_pop ----+----------+--------------------+------------- 19 | 1930440 | 38966760000 | 197400 20 | 2725790 | 2162708900784.4473 | 1470615.1437 21 | 2067379 | 1889747565514.0222 | 1374680.8959 22 | 2357963 | 2213881715652.018 | 1487911.8642 23 | 2034746 | 7252716669494.947 | 2693086.8292 24 | 3785300 | 22559773876347.457 | 4749713.0309 25 | 3930867 | 20307320771204.332 | 4506364.4739 26 | 6866566 | 36181973172363.8 | 6015145.316 27 | 6676741 | 45509106214871.39 | 6746043.7454 28 | 5110188 | 18012156141081.11 | 4244073.0603 29 | 6224177 | 22845117042669.63 | 4779656.5821 30 | 7061858 | 28278583734766.582 | 5317761.1581 31 | 8511396 | 49074369441838.43 | 7005310.0889 32 | 7716958 | 51251452013710.28 | 7159011.944 33 | 3930739 | 17605591394980.715 | 4195901.738 34 | 7606030 | 28761124471812.6 | 5362939.9094 35 | 3461739 | 4892789670765.1875 | 2211965.1152 36 | 2238119 | 2162420877245.64 | 1470517.2142 37 | 12777778 | 76543207901234.67 | 8748897.5249 38 | 1840041 | 1679994838499 | 1296146.1486 39 | 2517872 | 2465360031462.25 | 1570146.5 40 | 4666916 | 11511680680555.555 | 3392886.7769