Description of the illustration ''percentile_disc.gif''

See Also:

"Analytic Functions" for information on syntax, semantics, and restrictions of the`OVER`

clause`PERCENTILE_DISC`

is an inverse distribution function that assumes a discrete distribution model. It takes a percentile value and a sort specification and returns an element from the set. Nulls are ignored in the calculation.

This function takes as an argument any numeric data type or any nonnumeric data type that can be implicitly converted to a numeric data type. The function returns the same data type as the numeric data type of the argument.

See Also:

Table 2-10, "Implicit Type Conversion Matrix" for more information on implicit conversionThe first `expr`

must evaluate to a numeric value between 0 and 1, because it is a percentile value. This expression must be constant within each aggregate group. The `ORDER`

`BY`

clause takes a single expression that can be of any type that can be sorted.

For a given percentile value `P`

, `PERCENTILE_DISC`

sorts the values of the expression in the `ORDER`

`BY`

clause and returns the value with the smallest `CUME_DIST`

value (with respect to the same sort specification) that is greater than or equal to `P`

.

See aggregate example for PERCENTILE_CONT.

The following example calculates the median discrete percentile of the salary of each employee in the sample table `hr.employees`

:

SELECT last_name, salary, department_id, PERCENTILE_DISC(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department_id) "Percentile_Disc", CUME_DIST() OVER (PARTITION BY department_id ORDER BY salary DESC) "Cume_Dist" FROM employees WHERE department_id in (30, 60) ORDER BY last_name, salary, department_id; LAST_NAME SALARY DEPARTMENT_ID Percentile_Disc Cume_Dist ------------------------- ---------- ------------- --------------- ---------- Austin 4800 60 4800 .8 Baida 2900 30 2900 .5 Colmenares 2500 30 2900 1 Ernst 6000 60 4800 .4 Himuro 2600 30 2900 .833333333 Hunold 9000 60 4800 .2 Khoo 3100 30 2900 .333333333 Lorentz 4200 60 4800 1 Pataballa 4800 60 4800 .8 Raphaely 11000 30 2900 .166666667 Tobias 2800 30 2900 .666666667

The median value for Department 30 is 2900, which is the value whose corresponding percentile (`Cume_Dist`

) is the smallest value greater than or equal to 0.5. The median value for Department 60 is 4800, which is the value whose corresponding percentile is the smallest value greater than or equal to 0.5.