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 arulsettu
		
			arulsettu
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		hi i am trying to count the policy so did like this
count(distinct employee_id).
and dimension is age band
like this
if(ME_AGE>=0 and ME_AGE<=6,'0-6',
if(ME_AGE>=7 and ME_AGE<=18,'7-18',
if(ME_AGE>=19 and ME_AGE<=30,'19-30',
if(ME_AGE>=31 and ME_AGE<=45,'31-45',
if(ME_AGE>=46 and ME_AGE<=60,'46-60',
if(ME_AGE>=60,'60')))))) as age_band
but the result getting is not correct. while checking in db output is little differs in qlikview.
here i attached a sample app please check and let me know what i am doing wrong.
 
					
				
		
 nagarjuna_kotha
		
			nagarjuna_kotha
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		Which count you are saying about
 
					
				
		
 arulsettu
		
			arulsettu
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		count(distinct employee_id).
 
					
				
		
 ChennaiahNallan
		
			ChennaiahNallanHi,
Use this
if(ME_AGE>=0 and ME_AGE<=6,'0-6',
if(ME_AGE>=7 and ME_AGE<=18,'7-18',
if(ME_AGE>=19 and ME_AGE<=30,'19-30',
if(ME_AGE>=31 and ME_AGE<=45,'31-45',
if(ME_AGE>=46 and ME_AGE<=60,'46-60',
'60'))))) as age_band
 
					
				
		
 arulsettu
		
			arulsettu
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		expected output is
| 14594 | 0 to 6 | 
| 15088 | 7 to 18 | 
| 61451 | 19 to 30 | 
| 74968 | 31 to 45 | 
| 24283 | 46 to 60 | 
| 2423 | above 60 | 
 
					
				
		
 nagarjuna_kotha
		
			nagarjuna_kotha
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		what is your out put ?
 
					
				
		
 arulsettu
		
			arulsettu
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		check the sample app
 
					
				
		
 nagarjuna_kotha
		
			nagarjuna_kotha
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		IN YOUR FIRST CHAT DIMENSION IS CLASS(Age,6) , CHANGE IT TO age_band.
REGARDS,
Nagarjna
 
					
				
		
 arulsettu
		
			arulsettu
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		i changed the app now
 
					
				
		
 avinashelite
		
			avinashelite
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		Hi Arul,
I checked your file, problem is with the data. the same Employee_ID has more than one age attached to it to quote an example check 035 because of this your not able to get the right count.
