Applies to:  CELONIS 4.0 CELONIS 4.2 CELONIS 4.3 CELONIS 4.4 

Description

Calculates the quantile of the specified column for each element of the given parent table.

Like the regular QUANTILE operator, the column can either be an INT, FLOAT or DATE column. The data type of the result is the same as the input column data type. The given quantile has to be a float number between 0 (same as PU_MIN) and 1.0 (same as PU_MAX).

If no value in the child table exists for the element in the parent table (either because all values of the child table column are filtered out, or because no corresponding value exists in the first place), NULL will be returned.

Syntax

PU_QUANTILE ( parent_table, child_table.column, quantile [, filter_expression] )

Examples

Calculate the 0.0 quantile of the case table values for each company code. This produces the same result as PU_MIN since QUANTILE(0.0) == MIN():
Query
Column1
"companyDetail"."companyCode"
Column2
PU_QUANTILE("companyDetail", "caseTable"."value", 0.0)
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : INT
1
'001'
600
2
'001'
400
3
'001'
200
4
'002'
300
5
'002'
300
6
'003'
200
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : INT
'001'
200
'002'
300
'003'
200



Calculate the 1.0 quantile of the case table values for each company code. This produces the same result as PU_MAX since QUANTILE(1.0) == MAX():
Query
Column1
"companyDetail"."companyCode"
Column2
PU_QUANTILE("companyDetail", "caseTable"."value", 1.0)
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : INT
1
'001'
600
2
'001'
400
3
'001'
200
4
'002'
300
5
'002'
300
6
'003'
200
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : INT
'001'
600
'002'
300
'003'
200



Calculate the 0.5 quantile of the case table values for each company code. This produces the same result as PU_MEDIAN since QUANTILE(0.5) == MEDIAN():
Query
Column1
"companyDetail"."companyCode"
Column2
PU_QUANTILE("companyDetail", "caseTable"."value", 0.5)
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : INT
1
'001'
600
2
'001'
400
3
'001'
200
4
'002'
300
5
'002'
300
6
'003'
200
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : INT
'001'
400
'002'
300
'003'
200



Calculate the 0.5 quantile of the case table values for each company code. Only consider cases with an ID larger than 2. This produces the same result as PU_MEDIAN since QUANTILE(0.5) == MEDIAN():
Query
Column1
"companyDetail"."companyCode"
Column2
PU_QUANTILE("companyDetail", "caseTable"."value", 0.5, "caseTable"."caseID" > 2)
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : INT
1
'001'
600
2
'001'
400
3
'001'
200
4
'002'
300
5
'002'
300
6
'003'
200
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : INT
'001'
200
'002'
300
'003'
200



Calculate the 0.5 quantile of the case table values for each company code. Only consider cases with an ID larger than 3. All case table values for companyCode '001' are filtered out, which means that in this case, NULL is returned. This produces the same result as PU_MEDIAN since QUANTILE(0.5) == MEDIAN():
Query
Column1
"companyDetail"."companyCode"
Column2
PU_QUANTILE("companyDetail", "caseTable"."value", 0.5, "caseTable"."caseID" > 3)
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : INT
1
'001'
600
2
'001'
400
3
'001'
200
4
'002'
300
5
'002'
300
6
'003'
200
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : INT
'001'
null
'002'
300
'003'
200



Calculate the 0.25 quantile of the case table values for each company code:

Query
Column1
"companyDetail"."companyCode"
Column2
PU_QUANTILE("companyDetail", "caseTable"."value", 0.25)
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : INT
1
'001'
600
2
'001'
400
3
'001'
200
4
'002'
300
5
'002'
300
6
'003'
200
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : INT
'001'
200
'002'
300
'003'
200



Example over three tables: For each entry in table B, calculate the 0.5 quantile of the values that are larger than 100 in table C. This produces the same result as PU_MEDIAN since QUANTILE(0.5) == MEDIAN(): Tables B and C do not have a direct connection, but are connected via table A:
Query
Column1
"B"."B_KEY"
Column2
PU_QUANTILE("B", "C"."VALUE", 0.5, "C"."VALUE" >100)
Input
A
B_KEY : INTC_KEY : STRINGVALUE : INT
1
'A'
100
1
'B'
200
2
'C'
300
2
'D'
400
3
'E'
500
3
'F'
600
B
B_KEY : INT
1
2
C
C_KEY : STRINGVALUE : INT
'A'
400
'A'
100
'A'
200
'B'
100
'C'
200
'D'
500

Foreign Keys
C.C_KEYA.C_KEY
B.B_KEYA.B_KEY
Output
Result
Column1 : INTColumn2 : INT
1
400
2
500



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