Forum Discussion
Earlier function on the fly
Hi all,
I'm trying to create rank calculation on PBI.
I'm able to do that with earlier function which only allows create on column. When I created on column It is not serve to purpose completely.
Let me show an example.
My dataset on the left side. I created a column like this.
Group Rank = COUNTROWS(FILTER ('Test',Test[Date] = EARLIER (Test[Date]) && Test[Amount] >EARLIER(Test[Amount] )))+ 1It works well when I select 1 month from date filter. But when I select 2 months from date filter It shows ranks separately. (for each month)
I want to calculcate rank for sum of 2 months value.
I know It is normal because we are creating a column and write data directly to this column.
Actually what I want to ask is there any option to create this calculation with measure ?
PBIX FILE
Hi Anonymous ,
You need to create the following measures, be aware that I'm divinding this in several measure so you can have the calculations checked.
Amount = SUM(PCC_Analysis2[Amount]) Rank_Values = RANKX(ALLSELECTED(PCC_Analysis2[Customer]); CALCULATE([Amount]) + + INT ( CALCULATE ( MIN ( PCC_Analysis2[Customer]) ) ) / 100000) Cumulative Total based on Rank = CALCULATE([Amount]; TOPN([Rank_Values];ALLSELECTED(PCC_Analysis2[Customer]);[Amount] + INT ( CALCULATE ( MIN ( PCC_Analysis2[Customer]) ) ) / 100000 ) ) % of Products Running Total = DIVIDE([Cumulative Total based on Rank];CALCULATE([Amount];ALLSELECTED(PCC_Analysis2[Customer])))The idea here is to pick up the TOPN lines that are equal to the ranking.
Adding the + INT ( CALCULATE ( MIN ( PCC_Analysis2[Customer]) ) ) / 100000 allows to make the equal values to be different.
Be aware that I'm making a relationship between slicer and fact table.
Anonymous Using you PBIX file thanks in advance
Check PBIX file attach.
11 Replies
Anonymous , I think you need a measure rank here. I think you have created a column rank.
Rankx(All(Table[customer]), calculate(sum(Table[Amount])))
or
Rankx(All(Table[Month],Table[customer]), calculate(sum(Table[Amount])))For Rank Refer these links
https://radacad.com/how-to-use-rankx-in-dax-part-2-of-3-calculated-measures
https://radacad.com/how-to-use-rankx-in-dax-part-1-of-3-calculated-columns
https://radacad.com/how-to-use-rankx-in-dax-part-3-of-3-the-finale
https://community.powerbi.com/t5/Community-Blog/Dynamic-TopN-made-easy-with-What-If-Parameter/ba-p/367415Hi Anonymous
Instead of a calculated column, use a measure on the last visual you are showing:
MeasureRank = RANKX(ALL(Test[Customer]),CALCULATE(SUM(Test[Amount])))
Please mark the question solved when done and consider giving kudos if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
Hi Anonymous
Try the following measure:
Measure = RANKX( ALLSELECTED( Test[Customer] ) ; CALCULATE( SUM( Test[Amount] ) ) )Has you see below result is the same for all the data and differs when you select dates:
Thank you for all AlB , MFelix and amitchandak
It was absolutely working fine for this scenario but there is another point which I forget to mention on there.
All of you guys used RANKX function but actually I want to find reciprocity to EARLIER function. You are all right, RANKX looks like fit for this scenario but in I'm using EARLIER function with other calculations. Like cumulative sum.
Let me show you my main problem.I want to find customers % amount for total amount.
Then I want to cumulative sum customer % amount from top to bottom rank.
Then make filter on Cumulative Amount % column. For example show the values less than %80It is working fine for one month but not working well as I mentioned on my first message for more than one month.
I created Group Amount, Group Rank, Amount % and Cumulative Amount % on column and I used EARLIER function most of this calculations.
Thats the point which I'm looking for a solution.
By the way If you have another solution to make this cumulative amount % calculation It is fine for me no matter.Hi Anonymous ,
The best option for % in my opinion is to do it with measures, because when you make them has columns on your datatables you then loose the flexibility of having the filters calculation.
If you do the % as measures then you can do the rank based on those measures making a temporary table on your measure.
Can you please provide the way you are calculating the %s.
Please AlB and amitchandak if you have any other ideas please share them.
Hi MFelix ,
First of all I find the total amount for customers for each month.Group Amount = CALCULATE ( SUM( PCC_Analysis2[Amount] ), FILTER ( 'PCC_Analysis2', 'PCC_Analysis2'[Tarih] = EARLIER ( 'PCC_Analysis2'[Tarih] )))
Then I create calculation rank for customers amountGroup Rank = COUNTROWS ( FILTER ( 'PCC_Analysis2', 'PCC_Analysis2'[Tarih] = EARLIER ( 'PCC_Analysis2'[Tarih] ) && PCC_Analysis2[Amount %] > EARLIER ( PCC_Analysis2[Amount %] ) ) ) + 1
Then I find % Amount for each customer with this divide amount and total amountAmount % = PCC_Analysis2[Amount] / PCC_Analysis2[Group Amount]Finally I'm making this cumulative sum calculation.
Cumulative Amount % = CALCULATE ( SUM( PCC_Analysis2[Amount %] ), FILTER ( 'PCC_Analysis2', 'PCC_Analysis2'[Tarih] = EARLIER ( 'PCC_Analysis2'[Tarih] ) && PCC_Analysis2[Group Rank] <= EARLIER(PCC_Analysis2[Group Rank])))
This is the final result
