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 Saurabh07
		
			Saurabh07
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		Hi, Mentioned is the structure of my dataset;
| Company_Name | ID | Country | Value | 
| Company A | 1234 | India | 50 | 
| Company A | 1234 | Japan | 60 | 
| Company B | 4567 | India | 20 | 
| Company B | 4567 | Japan | 70 | 
I have a filter at top to select Country. If I select 'Country = India' in the filter below is the desired output. In 'Company_Total' the value of India should be shown for each of the Company, but 'Total_Value' should display the overall sum of Value for each counterparty irrespective of the country.
| Company_Name | ID | Company_Total | Total_Value | 
| Company A | 1234 | 50 | 110 | 
| Company B | 4567 | 20 | 90 | 
I tried using the mentioned expression for 'Total_Value' column, sum({<Country= >}Value)
But its not working! Can anyone please help me out here?
 sunny_talwar
		
			sunny_talwar
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		 sunny_talwar
		
			sunny_talwar
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		This should have worked
Sum({<Country>} Value)Do you have Country as one of your dimension? If you do, may be you will need this
Sum(TOTAL <Company_Name> {<Country>} Value) * Avg(1) Saurabh07
		
			Saurabh07
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		Hello @sunny_talwar , Thank you for the reply.
I tried this earlier, the value is correct in 'Total_Value' and 'Company_Total' columns, but all the other Company names are displayed in the table. eg. If India is selected in filter, Company C which doesn't belong to India is displayed in the table, though the value is shown as '-' in 'Total_Value' column, I don't want to see this Company C when India is selected.
 sunny_talwar
		
			sunny_talwar
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		 Saurabh07
		
			Saurabh07
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		@sunny_talwar Thank you so much. This worked
