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Hi all, i am struggling with RANKX funtion on multiple columns. All the columns are from the same table.
I want to rank across different reporting Period, Region, BU, Metric_ID, Domain based on Value column in DESC order.
Could anyone help me with the syntax to achieve my requirement? Many thanks in advance.
Solved! Go to Solution.
@Georgia_H this is for a measure:
Rank Measure =
VAR _value_test = NOT ISBLANK (CALCULATE(SUM('rep F_ITS_MetricsLanding'[Compliance_Num])))
VAR _result =
RANKX(
ALLSELECTED('rep F_ITS_MetricsLanding'[LBU]),
CALCULATE(SUM('rep F_ITS_MetricsLanding'[Compliance_Num]))
)
RETURN
IF(
_value_test,
_result
)
@Georgia_H what is the result you want to get?
Can you share a sample copy paste table and hard code the result and the logic for it.
Hi @SpartaBI
Please refer to my desired result on column RANK.
My requirement is:
1.For April, I want to rank the best performing BU for Metric ID : PCM03, in ASIA & AFRICA regions in DESC mode
1.For April, I want to rank the best performing BU for Metric ID : PCM04, in ASIA & AFRICA regions in DESC mode and the same for May month.
Period | Region | BU | Metric_ID | Domain | Value | Rank |
28-Apr | ASIA | EISG | PCM03 | Config Mgt | 0 | 2 |
28-Apr | ASIA | EISG | PCM04 | Config Mgt | 100 | 1 |
28-Apr | ASIA | PACS | PCM03 | Config Mgt | 80 | 1 |
28-Apr | ASIA | PACS | PCM04 | Config Mgt | 43.7255 | 2 |
28-Apr | ASIA | PAMB | PCM03 | Config Mgt | 49.0197 | 3 |
28-Apr | AFRICA | PBGI | PCM03 | Config Mgt | 62 | 2 |
28-Apr | AFRICA | PBLIT | PCM03 | Config Mgt | 99 | 1 |
31-May | ASIA | PAMB | PCM04 | Config Mgt | 97.1961 | 2 |
31-May | ASIA | EISG | PCM03 | Config Mgt | 0 | 3 |
31-May | ASIA | EISG | PCM04 | Config Mgt | 100 | 1 |
31-May | ASIA | PACS | PCM03 | Config Mgt | 60 | 1 |
31-May | ASIA | PACS | PCM04 | Config Mgt | 13.7255 | 4 |
31-May | ASIA | PAMB | PCM03 | Config Mgt | 49.0197 | 2 |
31-May | ASIA | PVA | PCM04 | Config Mgt | 89 | 3 |
@Georgia_H in your sample data, why is this the result of the rank?
80 1st place
0 2nd place
3 3rd place
?
You can also PM me and we could do a quick zoom if you want
HI @SpartaBI
Sorry for the typo in the sample output.
I have corrected it. Can you take below data for your testing? Appreciate it.
Period | Region | BU | Metric_ID | Domain | Value | Rank |
28-Apr | ASIA | EISG | PCM03 | Config Mgt | 0 | 3 |
28-Apr | ASIA | EISG | PCM04 | Config Mgt | 100 | 1 |
28-Apr | ASIA | PACS | PCM03 | Config Mgt | 80 | 1 |
28-Apr | ASIA | PACS | PCM04 | Config Mgt | 43.7255 | 2 |
28-Apr | ASIA | PAMB | PCM03 | Config Mgt | 49.0197 | 2 |
28-Apr | AFRICA | PBGI | PCM03 | Config Mgt | 62 | 2 |
28-Apr | AFRICA | PBLIT | PCM03 | Config Mgt | 99 | 1 |
31-May | ASIA | PAMB | PCM04 | Config Mgt | 97.1961 | 2 |
31-May | ASIA | EISG | PCM03 | Config Mgt | 0 | 3 |
31-May | ASIA | EISG | PCM04 | Config Mgt | 100 | 1 |
31-May | ASIA | PACS | PCM03 | Config Mgt | 60 | 1 |
31-May | ASIA | PACS | PCM04 | Config Mgt | 13.7255 | 4 |
31-May | ASIA | PAMB | PCM03 | Config Mgt | 49.0197 | 2 |
31-May | ASIA | PVA | PCM04 | Config Mgt | 89 | 3 |
@Georgia_H create this calculated column:
Rank CC =
VAR _period = 'Table'[Period]
VAR _region = 'Table'[Region]
VAR _metric = 'Table'[Metric_ID]
VAR _domain = 'Table'[Domain]
VAR _result =
RANKX(
FILTER(
'Table',
'Table'[Period] = _period
&& 'Table'[Region] = _region
&& 'Table'[Metric_ID] = _metric
&& 'Table'[Domain] = _domain
),
'Table'[Value]
)
RETURN
_result
Hi @SpartaBI
Thank you for the solution. We can achieve the inteded results in the sample data given earlier. However, i tested with another set of sample data, the results are incorrect after adding another filter by Severity. See the Rank column results for Severity=S2.
Month-Year | rep D_ITS_KRIList.Metric_ID | REGION | LBU | Severity | rep D_ITS_KRIList.Domain | Compliance_Num | Rank |
Jun-22 | PCM03 | ASIA | EIKR | S2 | PPCM | 0 | 12 |
Jun-22 | PCM03 | ASIA | PBTB | S2 | PPCM | 0 | 12 |
Jun-22 | PCM03 | ASIA | PLUK | S2 | PPCM | 0 | 12 |
Jun-22 | PCM03 | ASIA | EISG | S2 | PPCM | 100 | 8 |
Jun-22 | PCM03 | ASIA | PAMB | S2 | PPCM | 100 | 8 |
Jun-22 | PCM03 | ASIA | PTPLA | S2 | PPCM | 100 | 8 |
Jun-22 | PCM03 | ASIA | PVA | S2 | PPCM | 100 | 8 |
Jun-22 | PCM03 | ASIA | PSS | S2 | PPCM | 16.6667 | 7 |
Jun-22 | PCM03 | ASIA | PHKL | S2 | PPCM | 33.3334 | 6 |
Jun-22 | PCM03 | ASIA | EIMB | S2 | PPCM | 50 | 4 |
Jun-22 | PCM03 | ASIA | PSA | S2 | PPCM | 50 | 4 |
Jun-22 | PCM03 | ASIA | PCA | S2 | PPCM | 75 | 3 |
Jun-22 | PCM03 | ASIA | PACS | S2 | PPCM | 80 | 2 |
Jun-22 | PCM03 | ASIA | EIKR | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | EIMB | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | EISG | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PACS | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PAMB | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PBTB | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PCA | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PCALT | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PCALT | S2 | PPCM | 85.7143 | 1 |
Jun-22 | PCM03 | ASIA | PHKL | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PLUK | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PSA | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PSS | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PTPLA | S1 | PPCM | 100 | 1 |
Jun-22 | PCM03 | ASIA | PVA | S1 | PPCM | 100 | 1 |
My dax calculated column:
@Georgia_H I took your new sample data and added it to the file.
I'm getting different result. Please check and let me know:
How to do RankX on multiple columns 2022-07-23.pbix
If you don't succeed you can PM me and we could do a quick zoom call and look together if you want.
P.S. Check out my showcase report - got some high level stuff there. Sure you will find there a lot of cool ideas. Please give it a thumbs up over there if you liked it 🙂
https://community.powerbi.com/t5/Data-Stories-Gallery/SpartaBI-Feat-Contoso-100K/td-p/2449543
@Georgia_H this is for a measure:
Rank Measure =
VAR _value_test = NOT ISBLANK (CALCULATE(SUM('rep F_ITS_MetricsLanding'[Compliance_Num])))
VAR _result =
RANKX(
ALLSELECTED('rep F_ITS_MetricsLanding'[LBU]),
CALCULATE(SUM('rep F_ITS_MetricsLanding'[Compliance_Num]))
)
RETURN
IF(
_value_test,
_result
)
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