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 liviumac
		
			liviumac
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		Hello again
I have the following data structure
field 1 = date (several dates)
field 2 = customer type (several customer types for each date)
field 3 = customer id (many per customer type)
field 4 = transaction id (many per customer)
field 5 = Value (several per transaction id)
I want to create a line chart (or another visualization) that has:
- as dimensions: date (on X axis) and customer type (each customer type shown in the chart as a line)
- as measure: the share of [sum(Value) (per date and customer type)] in [sum(Value) per date]
essentially I am trying to show a pie chart with customer type shares for each date, but for all the dates at once, using one line for each customer type
the sum of shares (percentages) of customer type for each date should obviously be 100%
or, in other words, I want to disregard the customer type dimension when calculating the denominator, but not the date dimension
I have tried
1. sum(aggr(sum(value),date,customer_type) / sum(aggr(sum(value),date)
but it does not show meaningful data
2. sum(aggr(sum(value),date,customer_type) / sum(TOTAL aggr(sum(value),date)
it shows meaningfull data, but it divides by the total sum of Value in the database, so does not take into account the date
3. sum(aggr(sum(value),date,customer_type)/sum(aggr(sum(TOTAL value),date)
but it does not show meaningful data
your help is highly appreciated
thank you
LM
 rubenmarin
		
			rubenmarin
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		OK, if you have customer_type and date as dimensions maybe you only need:
Sum(value)/Sum(Total <customer_type> value)
If doesn't works... can you upload a sample?
 rubenmarin
		
			rubenmarin
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		try this:
sum(aggr(sum(value),date,customer_type) / sum(aggr(sum(TOTAL value),date)
or:
sum(aggr(sum(value),date,customer_type) / sum(aggr(sum(TOTAL <date> value),date)
 liviumac
		
			liviumac
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		thank you for your time, none of these expressions work
 rubenmarin
		
			rubenmarin
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		OK, if you have customer_type and date as dimensions maybe you only need:
Sum(value)/Sum(Total <customer_type> value)
If doesn't works... can you upload a sample?
 
					
				
		
 rajuamet
		
			rajuamet
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		Hi Liviu Maco,
Try this in line chart (not in combo chart),
Dimension 1 - date
Dimension 2 - customer type
Measure - sum(Value) / sum(total Value)
 liviumac
		
			liviumac
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		thank you, this last one did the trick!
well with one change, i.e. Sum(Total <date> value) instead of Sum(Total <customer_type> value), I think this is what you wanted to write, no?
I apologize if I abuse your time, but I have 2 questions:
1) I've not seen before the <field> qualifier without { } brackets - what does it mean?
i.e., what is the difference between
Sum(Total <customer_type> value)
and
Sum(Total {<customer_type>} value)
2) the chart now works, however I would like to tweak it further in the sense that I want it to show the same share also when I select one customer types - now it shows 100%
thank you
 liviumac
		
			liviumac
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		hello
thank you for your answer - the denominator in your expression is calculated over the whole data set, i.e. for all dates, so it is not what I need
Sum(Total <date> value) does the trick, as indicated by Ruben Marin
 rubenmarin
		
			rubenmarin
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		1) TOTAL is used to ignore chart dimensions but not selections
In "Sum(Total <customer_type> value)" the "<customer_type>" tells to TOTAL to not ignore the customer_type dimension (as you said it should be 'date', not customer_type)
In "Sum(Total {<customer_type>} value)" the "<customer_type>" is inside '{}' wich means a set analisys expression, in this case you are applying a set analisys telling to ignore selections in customer_type
2) Maybe:
Sum(value)/Sum(Total <date> {<customer_type>} value)
 liviumac
		
			liviumac
		
		
		
		
		
		
		
		
	
			
		
		
			
					
		brilliant, than you so much
