See Also:
"Analytic Functions" for information on syntax, semantics, and restrictionsVAR_POP
returns the population variance of a set of numbers after discarding the nulls in this set. You can use it as both an aggregate and analytic function.
This function takes as an argument any numeric datatype or any nonnumeric datatype that can be implicitly converted to a numeric datatype. The function returns the same datatype as the numeric datatype of the argument.
See Also:
Table 2-10, "Implicit Type Conversion Matrix" for more information on implicit conversionIf the function is applied to an empty set, then it returns null. The function makes the following calculation:
(SUM(expr2) - SUM(expr)2 / COUNT(expr)) / COUNT(expr)
The following example returns the population variance of the salaries in the employees
table:
SELECT VAR_POP(salary) FROM employees; VAR_POP(SALARY) --------------- 15140307.5
The following example calculates the cumulative population and sample variances in the sh.sales
table of the monthly sales in 1998:
SELECT t.calendar_month_desc, VAR_POP(SUM(s.amount_sold)) OVER (ORDER BY t.calendar_month_desc) "Var_Pop", VAR_SAMP(SUM(s.amount_sold)) OVER (ORDER BY t.calendar_month_desc) "Var_Samp" FROM sales s, times t WHERE s.time_id = t.time_id AND t.calendar_year = 1998 GROUP BY t.calendar_month_desc; CALENDAR Var_Pop Var_Samp -------- ---------- ---------- 1998-01 0 1998-02 6.1321E+11 1.2264E+12 1998-03 4.7058E+11 7.0587E+11 1998-04 4.6929E+11 6.2572E+11 1998-05 1.5524E+12 1.9405E+12 1998-06 2.3711E+12 2.8453E+12 1998-07 3.7464E+12 4.3708E+12 1998-08 3.7852E+12 4.3260E+12 1998-09 3.5753E+12 4.0222E+12 1998-10 3.4343E+12 3.8159E+12 1998-11 3.4245E+12 3.7669E+12 1998-12 4.8937E+12 5.3386E+12