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paguy215
Helper III
Helper III

RANKX Returning All as 1

I'm trying to rank agents based on their sales over a selected date range.  At first it was takiing too much memory to even bring on the visual

 

so i ended up creating a new query to aggregate things there, and I can get the RANKX on the visual fairly easily...however now everything is ranked as 1

 

here is what i have

 

Revenue Rank =
RANKXALLSELECTED('Agent List'[AgentID]), calculate(sum(Query1[SalesSum])))
 
The fields in the 'Query1' Are a date, agent ID (that ties to the 'Agent List' table), and two columns for two different sale types, with 'SalesSum' being the calculated column adding those together.
 
Any help is appreciated.
4 REPLIES 4
Anonymous
Not applicable

Thanks for the reply from Greg_Deckler.

 

Hi @paguy215 ,

 

Make sure you are using the AgentID field from the Agent List table in the visual, it returns the correct result in my test.

vlinhuizhmsft_0-1737700416962.png

Thanks, but still doesn't work and I'm using the right fields.   Also in what you shared, I see the ranks are still off (IE two rows ranked 1st but with different SalesSum totals.

 

Also, I wouldn't have a row for each date...the idea would be a row for each agent, summing the total within a range of dates

Greg_Deckler
Community Champion
Community Champion

@paguy215 RANKX is notoriously finicky. I would try using RANK instead. Or, see if this helps:



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DAX is easy, CALCULATE makes DAX hard...

But in case you need to further condition the range

I'm trying to calculate an agency's ranking using the RANKX formula, but I can't figure it out.

What I am trying to do is for the ranking to be calculated taking into account the investment of each agency, but this cannot consider agencies with negative YoY, they must be excluded from the ranking. I only want a ranking of Agencies that have a positive % variation (2023 vs 2024).


I am using the following formula but without much success.

RANKX Agencia 1 Pos =
VAR InversionYTD = [Inversión neta YTD Agencia]
VAR VariacionYTD = [Variación YTD Agencia]
RETURN
IF(
NOT ISBLANK(InversionYTD) && InversionYTD <> 0 && VariacionYTD > 0,
RANKX(
            FILTER(
                           ALLSELECTED('Industria'[Agencia]),
                                   [Variación YTD Agencia] > 0
                       ),
           CALCULATE(
                                  [Inversión neta YTD Agencia],
                                             REMOVEFILTERS('Industria'[Anunciante]), -- Delete filters of advertiser column
                             ),
                             ,
            DESC,
           Dense
                      ),
           BLANK()

)

 

 

 

The expected result would be a matrix visual object like the one in the image.

mlozano_0-1737681335027.png

 



Expected result

AnuncianteAgencia20232024DiffYoYRankx
TECNOQUIMICASSANCHO/BBDO$ 364,529$ 435,109$ 70,58019%1
CENTRAL CERVECERASANCHO/BBDO$ 180$ 32,094$ 31,91517744%1
PEPSI COL+POSTOBONSANCHO/BBDO$ 3,856$ 20,385$ 16,529429%1
ALMACENES EXITOSANCHO/BBDO$ 65,194$ 79,979$ 14,78523%1
BANCOLOMBIASANCHO/BBDO$ 45,218$ 59,528$ 14,30932%1
ALIMENTOS POLARSANCHO/BBDO$ 14,610$ 26,580$ 11,97082%1
MERCADOLIBRE.COMSANCHO/BBDO$ 14,966$ 24,951$ 9,98667%1
PEPSICO ALIMENTOSSANCHO/BBDO$ 11,078$ 17,517$ 6,43958%1
ECOPETROLSANCHO/BBDO$ 8,340$ 12,604$ 4,26451%1
LEADERS+CEETSANCHO/BBDO$ 2,234$ 5,461$ 3,226144%1
C FUNCIONAL BEBIDASSANCHO/BBDO$ 965$ 3,937$ 2,972308%1
DAIMLER COLOMBIA SASANCHO/BBDO$ 2,167$ 5,033$ 2,865132%1
TERPELSANCHO/BBDO$ 1,763$ 4,196$ 2,433138%1
AVON CALLINGSSANCHO/BBDO$ 268$ 1,493$ 1,225456%1
ARTURO CALLESANCHO/BBDO$ 301$ 1,380$ 1,079359%1
CORONASANCHO/BBDO$ 2,397$ 2,782$ 38516%1
L&C S.A.SSANCHO/BBDO$ 892$ 1,238$ 34639%1
PJ COL SASSANCHO/BBDO$ 478$ 812$ 33470%1
ALM EXITO+B COLPATSANCHO/BBDO$ 83$ 230$ 147176%1
COLGATE PALMOLIVEYOUNG & RUBICAM$ 159,954$ 257,348$ 97,39461%2
COLGATE PALMOLIV INTYOUNG & RUBICAM$ 9,363$ 31,787$ 22,424240%2
HUAWEI TECHNOLOGIESYOUNG & RUBICAM$ 541$ 3,313$ 2,772512%2
DERCO SAYOUNG & RUBICAM$ 3,175$ 4,147$ 97231%2
WALT DISNEY COMPANYBTL$ 145,513$ 254,319$ 108,80675%3



I have the following table

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