Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now

Reply
Anonymous
Not applicable

Dynamic Rank Measure

I need to create a measure that will dynamiclly rank ID#'s whenever a filter on my page is selected.

 

There are two columns involved in this measure.

 

The [ID#] column and [TimeValue] column which is a date and time stamp column converted into a numeric value.

 

I need the measure to rank the [ID#] with the highest [TimeValue]. Each [ID#] can have multiple [TimeValue] so I would need to take the max rather than a sum.

 

Any ideas?

1 ACCEPTED SOLUTION
JarroVGIT
Resident Rockstar
Resident Rockstar

I've played around with this, I was intrigued by the question. Interesting behaviour I'm getting, but this did the trick.

Bottom line: you are going to need two measures. I created the following table. Note that ID 3 has the highest TimeValue, followed by ID 2 and at last ID 1. 

Table2Table2

Then I've created my first measure, that will calculate the maximum TimeValue. Measures are context aware, so it is really as simple as this:

MaxTimeValuePerID = MAX(Table2[TimeValue])

This measure is used in the final measure, which calculates the ranking of the ID's based on the MAX(timevalue) per ID;

UltimateRank = RANKX(ALLSELECTED(Table2), [MaxTimeValuePerID], ,,Dense)

Note that as input table, I chose ALLSELECTED(Table2) because I want this to be applied to the rows that are in the current context. This way, if I create a Table visual and put in the ID's, every row has a data context of that ID. So when I add the first Measure, it will calculate the max of TimeValue of that particular ID. Then, if I add the last measure, it will add a rank based on the current view:

UltimateRank is the important bit here.UltimateRank is the important bit here.

You don't really need to add both Measures, it still works if you just add ID's and UltimateRank to a table 🙂

Kind regards

 

Djerro123

 

-------------------------------

 

If this answered your question, please mark it as the Solution. This also helps others to find what they are looking for.

 

Kudo's are welcome 🙂





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




View solution in original post

1 REPLY 1
JarroVGIT
Resident Rockstar
Resident Rockstar

I've played around with this, I was intrigued by the question. Interesting behaviour I'm getting, but this did the trick.

Bottom line: you are going to need two measures. I created the following table. Note that ID 3 has the highest TimeValue, followed by ID 2 and at last ID 1. 

Table2Table2

Then I've created my first measure, that will calculate the maximum TimeValue. Measures are context aware, so it is really as simple as this:

MaxTimeValuePerID = MAX(Table2[TimeValue])

This measure is used in the final measure, which calculates the ranking of the ID's based on the MAX(timevalue) per ID;

UltimateRank = RANKX(ALLSELECTED(Table2), [MaxTimeValuePerID], ,,Dense)

Note that as input table, I chose ALLSELECTED(Table2) because I want this to be applied to the rows that are in the current context. This way, if I create a Table visual and put in the ID's, every row has a data context of that ID. So when I add the first Measure, it will calculate the max of TimeValue of that particular ID. Then, if I add the last measure, it will add a rank based on the current view:

UltimateRank is the important bit here.UltimateRank is the important bit here.

You don't really need to add both Measures, it still works if you just add ID's and UltimateRank to a table 🙂

Kind regards

 

Djerro123

 

-------------------------------

 

If this answered your question, please mark it as the Solution. This also helps others to find what they are looking for.

 

Kudo's are welcome 🙂





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

March Power BI Update Carousel

Power BI Community Update - March 2026

Check out the March 2026 Power BI update to learn about new features.