Forum Discussion
Distinct Count not working
Based on the information you provided, it can be anything.
So my advice is to provide more information, like what formula do you use, what is the actual result, the expected result, why and any other specific information that increases the odds of you getting the help you are looking for.
Here Is the formula:
Number Of Orders In Branch = CALCULATE(DISTINCTCOUNT(Branch_Order_Size_1[Order No])) (Correct Result if it is inside Measure)
Same formula:
No Of Orders In Branch = CALCULATE(DISTINCTCOUNT(Branch_Order_Size_1[Order No])) (Wrong Result if it inside Column) ,
I need it based on a column cuz If it is a measure I want to divide it by the Total Sales:
Avg Price Sales = Branch_Order_Size_1[Total Sales]/sum([Number Of Orders In Branch]) ----> Not Work cuz it is measure not column
For this I need it to be in a column not measure, you got the point?
If It is in Measure Result is: 651895 (Correct)
If it is in column Result is: 1689975 (Wrong)
Strange !!
This depends on your table structure. Calculated column will calculate on each row level, measure will aggregate on current slicing context. For your current context in your visual, if it contains multiple entries about "current slicing field-Order No", it will be calculated multiple times when using calculated column.
See my sample below:
As we have date dimension slicing, we have multiple entries for "User-Order". If you use calculated column, it will duplicate the result.
For better understanding, please refer to this blog: Calculated Columns and Measures in DAX
Regards,
But How I can solve this problem, The Fields That I have is:
Order No,
Branch Name
Order Type (Pickup, Di-In, Delivery)
Meal: (Breakfast, Dinner, and Lunch)
Total Order Price
Total Quantity
I want to calculate the Average Order Size (Total Order Price/No Of Orders)
In each branch for (Order Type and Meal),
I'm now doing the query (R Language) as the following:
Branch_Order_Size<-select(Order_Product_Sub,Order No,orders.quantity,orders.final_price,branches.name,Meal,Order_Type) %>%
group_by(Order No,branches.name,Meal,Order_Type) %>%
summarise (Total_Sales= sum(orders.products.final_price),Total_Quantity=sum(orders.products.quantity),Total_Branch_Orders=length(unique(Order No))) %>%
ungroup() %>%
as.data.frame()The Right No Of Orders should be: 651895
If I calculated it as a measure It gives the right Number, If column it gives me: 1,689,975
What change shall I do in the query to give me the right total number of orders?
