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QUANTILE

Description

This function calculates the given quantile value per group. QUANTILE can be applied to INT, FLOAT or DATE columns.

The given quantile has to be an expression that results in a constant float number between 0 (same as MIN) and 1.0 (same as MAX).

Syntax

 QUANTILE ( table.column, quantile )

NULL handling

NULL values are ignored, so they do not influence the result. If all the values of a group are NULL, the result for this group is also NULL. The quantile parameter is not allowed to be NULL.

Examples

[1]

Get 0 quantile of column.

Query

Column1 

         QUANTILE ( "Table"."Column" , 0.0 )

Input

Output

Table

Column : int

1

-3

4

Result

Column1 : int

-3

[2]

Get 1.0 quantile of column.

Query

Column1 

         QUANTILE ( "Table"."Column" , 1.0 )

Input

Output

Table

Column : int

1

-3

4

Result

Column1 : int

4

[3]

Get the min quantile by country.

Query

Column1 

         "Table"."Country"

Column2 

         QUANTILE ( "Table"."Values" , 0.0 )

Input

Output

Table

Country : string

Values : int

'US'

3

'DE'

10

'DE'

5

'FR'

5

'US'

4

'US'

3

Result

Column1 : string

Column2 : int

'DE'

5

'FR'

5

'US'

3

[4]

Get the 0.5 quantile mixed with nulls, grouped by country.

Query

Column1 

         "Table"."Country"

Column2 

         QUANTILE ( "Table"."Values" , 0.5 )

Input

Output

Table

Country : string

Values : int

'FR'

10

'FR'

null

'DE'

null

Result

Column1 : string

Column2 : int

'DE'

null

'FR'

10

[5]

Get the 0.5 quantile using a division as the quantile parameter.

Query

Column1 

         QUANTILE ( "Table"."Column" , 50 / 100 )

Input

Output

Table

Column : int

3

1

4

2

1

5

Result

Column1 : int

3

See also: