Filter is not working with All SELECTED

[Anonymous]

Hi All,

I need your help with dax powerbi. I have difficulty solving for this hours but couldnt solve

I have measure which divides the sum of sku/total sum of sku to get the percentage.

Measure

SKU Stock Contribution (%) = DIVIDE(

SUM(Query1[stock_stock_value]),

CALCULATE(SUM(Query1[stock_stock_value]),ALLSELECTED(Query1)))

Problem:
There are three filters that I used date, product and distrirbutor filter but whenever I used the product filter the values changes to 100%. This only happens when I used the product filter and this only affects with this Measure other measures are not affected. I'm guessing its because of the "ALLSELECTED" 

Need your help


 

[harshnathani · Accepted solution]

Hi @Anonymous ,

Let me know if this measures work.

Total SKU SUM DIST = SUM(Data14[TOTAL SKU Value])

SUM SKU by Dist =

CALCULATE(SUMX(Data13,Data13[SKU]),ALLEXCEPT(Data14,Data14[Distrubutor Name]))

SKU Stock Contribution(%) = Divide([SUM SKU by Dist],[Total SKU SUM DIST],0)

Data13 is ChartTable1 and Data14 is ChartTable2

I added some more dummy values to validate my results and it seems to work fine.

Regards,

Harsh Nathani

[Greg_Deckler]

You might consider replacing ALLSELECTED with an ALLEXCEPT or REMOVEFILTERS. Not certain what filters you want to keep and what you want to remove for your "ALL" part of your calculation.

[Anonymous]

Hi @Greg_Deckler,

I'm not really sure with the "ALL SELECTED" but I cannot get the percentage of sku sum/total sku sum without it. If I remove it the result is 100% all data.

[Greg_Deckler]

@Anonymous  - Sample data posted as text to recreate would really help. Please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490

It sounds like you have a SKU. And SKU's are grouped into Groups. You have some other dimensions. You want to calculate a particular SKU's impact on a Group keeping your other dimension selections such as date, etc.

That is a fairly sophisticated calculation and depends greatly on exactly how your data is laid out.

[Mariusz]

Hi @Anonymous 

Try ALLSELECTED() without specifying a table.

Best Regards,
Mariusz

If this post helps, then please consider Accepting it as the solution.

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[vandromartins]

Genius!

[Anonymous]

Hi @Mariusz, I can see the 100% whenever I selected the product 

[Mariusz]

Hi @Anonymous 

What would you expect to see, if you expecting to see the percentage of total regardless of the filter context then you can use ALL() instead.

Best Regards,
Mariusz

If this post helps, then please consider Accepting it as the solution.

Please feel free to connect with me.
LinkedIn

[Anonymous]

Hi  @Greg_Deckler  @Mariusz, Thank you for tryring to help me
Here is an example of my data
I have  Table A columns  SKU Product, SKU Value, SKU Distributor, Sku date 

I put SKU Product and SKU value in table 1 then I used product, distributor and date as a filter.

Chart Table 1:
SKU NAME             SKU VALUE          Distributor
SKU A                      24                         Distrubutor A   
SKU B                       20                         Distrubutor A   
SKU C                      30                          Distrubutor B

Chart Table 2: 
Distrubutor Name             TOTAL SKU VALUE
Distrubutor A                      180
Distrubutor B                       200
Distirbutor C                        300

I used the same field/column called Sku_Value in both tables the difference is in first table I used product and in second is distributor. The measure that I need to do is get the percentage of the sku
Formula: SKU %=  SKU Value(Chart Table 1) / Total SKU value(Chart Table 2)  * 100 %.


Hence I have the measure: 

SKU Stock Contribution (%) = DIVIDE(

SUM(Query1[stock_stock_value]),

CALCULATE(SUM(Query1[stock_stock_value]), ALLSELECTED(Query1))).

Problem is i'm not too sure with the "allselected" it causes an issue in the product filter only.

Hope this helps, Thank you so much  

[Greg_Deckler]

Could be. Could be a missing relationship. Could be a few other things. Would need to see how your data is laid out, is everything in a single table? Can you provide sample data to reproduce the problem?