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I have a ranking problem. I need to rank results by alias, ordered by orderid
Positive Result Reporting Table =
SUMMARIZE( Data_File,
Data_File[RESULT ],
Data_File[ALIAS ],
Data_File[ORDERID ],
Data_File[CE_RESOURCE ],
"Test Order",RANKX(ALL( Data_File[ALIAS ], Data_File[CE_RESOURCE ], Data_File[RESULT ]),SUMX( Data_File, Data_File[ORDERQTY ]), Data_File[ORDERID ],ASC,Dense))
yields:
ALIAS CE_RESOURCE ORDERID RESULT Test Order
274 CL Mole cobas 8800-1 483 Not Detected 2
274 CL Mole cobas 8800-1 473 Not Detected 2
274 CL Mole cobas 8800-1 463 Not Detected 2
Expected result:
ALIAS CE_RESOURCE ORDERID RESULT Test Order
274 CL Mole cobas 8800-1 483 Not Detected 1
274 CL Mole cobas 8800-1 473 Not Detected 2
274 CL Mole cobas 8800-1 463 Not Detected 3
What am I doing wrong?
Solved! Go to Solution.
@nutmegsnot sure if you want a calculated column or a measure, so did both.
Column =
RANKX (
FILTER ( ranking, EARLIER ( ranking[ALIAS] ) = ranking[ALIAS] ),
ranking[ORDERID],
,
ASC
)
Measure:=
RANKX (
FILTER ( ALLSELECTED ( ranking ), ranking[ALIAS] = MAX ( ranking[ALIAS] ) ),
CALCULATE ( MAX ( ranking[ORDERID] ) ),
,
ASC
)
Measure =
RANKX (
FILTER (
ALLSELECTED ( 'rank' ),
'rank'[ALIAS] = MAX ( 'rank'[ALIAS] )
&& 'rank'[TestDate] = MAX ( 'rank'[TestDate] )
),
CALCULATE ( MAX ( 'rank'[ORDERID] ) ),
,
ASC
)
Hi @nutmegs ,
You can create a measure as below:
Test Order =
RANKX (
ALLEXCEPT ( 'Data_File', 'Data_File'[ALIAS] ),
CALCULATE ( MAX ( 'Data_File'[ORDERID] ) ),
,
DESC,
DENSE
)
Best Regards
@nutmegscan you give a sample data for Data_File?
Unlike Tableau I can't attach anything. I am going to paste the data from a sample csv. Just paste it into notepad and save as csv. The Test Order field is the calculated field (rank) based on the order of the orderids grouped by alias. I am attaching what I want to see (Test order is ranked 1,2,3 for each of these alias)
ALIAS,ORDERID,UM_RESOURCE,RESULT,Test Order
1,1,8800,Not Detected,1
1,12,8800,Not Detected,2
1,22,8800,Not Detected,3
2,2,8800,Not Detected,1
2,13,8800,Not Detected,2
2,23,8800,Not Detected,3
3,3,8800,Not Detected,1
3,14,8800,Not Detected,2
3,24,8800,Not Detected,3
@nutmegsnot sure if you want a calculated column or a measure, so did both.
Column =
RANKX (
FILTER ( ranking, EARLIER ( ranking[ALIAS] ) = ranking[ALIAS] ),
ranking[ORDERID],
,
ASC
)
Measure:=
RANKX (
FILTER ( ALLSELECTED ( ranking ), ranking[ALIAS] = MAX ( ranking[ALIAS] ) ),
CALCULATE ( MAX ( ranking[ORDERID] ) ),
,
ASC
)
OK. So the meaure works, but I actually need them ranked by date and alias. I've attached the data for a csv that has the expected result with a new date field.
ALIAS,ORDERID,UM_RESOURCE,RESULT,TestDate,Test Order
1,1,8800,Not Detected,1/1/2021,1
1,12,8800,Not Detected,1/2/2021,1
1,22,8800,Not Detected,1/2/2021,2
2,2,8800,Not Detected,1/4/2021,1
2,13,8800,Not Detected,1/5/2021,2
2,23,8800,Not Detected,1/6/2021,3
3,3,8800,Not Detected,1/7/2021,1
3,14,8800,Not Detected,1/7/2021,2
3,24,8800,Not Detected,1/8/2021,1
This picture is an example of what I want the Test Order measure to produce.
I tried this and it did not produce the expected result.
Test Order = calculate (RANKX (
FILTER ( ALLSELECTED ( 'Positive Result Reporting Table' ), 'Positive Result Reporting Table'[ALIAS] = MAX ( 'Positive Result Reporting Table'[ALIAS]) ),
CALCULATE ( MAX ( 'Positive Result Reporting Table'[ORDERID] ) ),
,
ASC
) , ALLEXCEPT('Positive Result Reporting Table','Positive Result Reporting Table'[TestDate]))
Measure =
RANKX (
FILTER (
ALLSELECTED ( 'rank' ),
'rank'[ALIAS] = MAX ( 'rank'[ALIAS] )
&& 'rank'[TestDate] = MAX ( 'rank'[TestDate] )
),
CALCULATE ( MAX ( 'rank'[ORDERID] ) ),
,
ASC
)
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