Microsoft Fabric Community Conference 2025, March 31 - April 2, Las Vegas, Nevada. Use code FABINSIDER for a $400 discount.
Register nowThe Power BI DataViz World Championships are on! With four chances to enter, you could win a spot in the LIVE Grand Finale in Las Vegas. Show off your skills.
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
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.
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
@paguy215 RANKX is notoriously finicky. I would try using RANK instead. Or, see if this helps:
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.
Expected result
Anunciante | Agencia | 2023 | 2024 | Diff | YoY | Rankx |
TECNOQUIMICAS | SANCHO/BBDO | $ 364,529 | $ 435,109 | $ 70,580 | 19% | 1 |
CENTRAL CERVECERA | SANCHO/BBDO | $ 180 | $ 32,094 | $ 31,915 | 17744% | 1 |
PEPSI COL+POSTOBON | SANCHO/BBDO | $ 3,856 | $ 20,385 | $ 16,529 | 429% | 1 |
ALMACENES EXITO | SANCHO/BBDO | $ 65,194 | $ 79,979 | $ 14,785 | 23% | 1 |
BANCOLOMBIA | SANCHO/BBDO | $ 45,218 | $ 59,528 | $ 14,309 | 32% | 1 |
ALIMENTOS POLAR | SANCHO/BBDO | $ 14,610 | $ 26,580 | $ 11,970 | 82% | 1 |
MERCADOLIBRE.COM | SANCHO/BBDO | $ 14,966 | $ 24,951 | $ 9,986 | 67% | 1 |
PEPSICO ALIMENTOS | SANCHO/BBDO | $ 11,078 | $ 17,517 | $ 6,439 | 58% | 1 |
ECOPETROL | SANCHO/BBDO | $ 8,340 | $ 12,604 | $ 4,264 | 51% | 1 |
LEADERS+CEET | SANCHO/BBDO | $ 2,234 | $ 5,461 | $ 3,226 | 144% | 1 |
C FUNCIONAL BEBIDAS | SANCHO/BBDO | $ 965 | $ 3,937 | $ 2,972 | 308% | 1 |
DAIMLER COLOMBIA SA | SANCHO/BBDO | $ 2,167 | $ 5,033 | $ 2,865 | 132% | 1 |
TERPEL | SANCHO/BBDO | $ 1,763 | $ 4,196 | $ 2,433 | 138% | 1 |
AVON CALLINGS | SANCHO/BBDO | $ 268 | $ 1,493 | $ 1,225 | 456% | 1 |
ARTURO CALLE | SANCHO/BBDO | $ 301 | $ 1,380 | $ 1,079 | 359% | 1 |
CORONA | SANCHO/BBDO | $ 2,397 | $ 2,782 | $ 385 | 16% | 1 |
L&C S.A.S | SANCHO/BBDO | $ 892 | $ 1,238 | $ 346 | 39% | 1 |
PJ COL SAS | SANCHO/BBDO | $ 478 | $ 812 | $ 334 | 70% | 1 |
ALM EXITO+B COLPAT | SANCHO/BBDO | $ 83 | $ 230 | $ 147 | 176% | 1 |
COLGATE PALMOLIVE | YOUNG & RUBICAM | $ 159,954 | $ 257,348 | $ 97,394 | 61% | 2 |
COLGATE PALMOLIV INT | YOUNG & RUBICAM | $ 9,363 | $ 31,787 | $ 22,424 | 240% | 2 |
HUAWEI TECHNOLOGIES | YOUNG & RUBICAM | $ 541 | $ 3,313 | $ 2,772 | 512% | 2 |
DERCO SA | YOUNG & RUBICAM | $ 3,175 | $ 4,147 | $ 972 | 31% | 2 |
WALT DISNEY COMPANY | BTL | $ 145,513 | $ 254,319 | $ 108,806 | 75% | 3 |
I have the following table
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Check out the February 2025 Power BI update to learn about new features.
User | Count |
---|---|
26 | |
12 | |
11 | |
9 | |
9 |
User | Count |
---|---|
17 | |
14 | |
13 | |
12 | |
12 |