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 Saurabh07
		
			Saurabh07
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		Hello Gurus,
I have the mentioned data set,
| Country | Value | 
| Algeria | 10 | 
| Andorra | 1 | 
| Angola | 0 | 
| Anguilla | 0 | 
| Algeria | 2 | 
| Andorra | 9 | 
| Angola | 0 | 
| Anguilla | 0 | 
| Algeria | 7 | 
| Andorra | 3 | 
| Angola | 2 | 
| Anguilla | 0 | 
| Algeria | 3 | 
| Andorra | 6 | 
| Angola | 5 | 
| Anguilla | 0 | 
Now I am trying to eliminate the country 'Andorra' and all other countries whose sum of Values is 0. I have successfully eliminated 'Andorra' from my pivot table with mentioned expression:
sum({<Country -= {'Andorra'}>}Value), but struggling to achieve the second condition. So my desired output in pivot form has to be;
| Country | Sum of Value | 
| Algeria | 22 | 
| Angola | 7 | 
Can anyone please help me out here?
 Saurabh07
		
			Saurabh07
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		@Lisa_P Thank you for the suggestion. But I am afraid this might not be the solution I am looking for, as I am already limiting the data for some other measure. I mean in the same pivot, I am already limiting the countries greater than 80% of another measure.
 Taoufiq_Zarra
		
			Taoufiq_Zarra
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		@Saurabh07its a sample table
or you can always do :
in Country dimension use :
if(aggr(sum(Value),Country)>0,Country) and uncheck include null value
and in measure sum({<Country -= {'Andorra'}>}Value)
 Kushal_Chawda
		
			Kushal_Chawda
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		@Saurabh07 uncheck below option
 Saurabh07
		
			Saurabh07
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		@kaushiknsolanki Great, it worked! Thank you!
 Saurabh07
		
			Saurabh07
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		@Kushal_Chawda @Taoufiq_Zarra @kaushiknsolanki @Lisa_P Thank you guys, each of your solutions work in specific case. Thank you so much!!
