Forum Discussion
Average Weekly Sales
Hi
I am having trouble working out an average sales DAX expression, it is for a group of stores where the data table (Keys) contains one line per store per week,
The issue i am facing is all stores were not open for all weeks so the average needs to be worked out on a store level based on the weeks they were open
i currently have created a calculated column within a structure table that only has one itterance of each store as below
AWUS (structure) = calculate(sum(Keys[Royalties])/DISTINCTCOUNT(Keys[Week]),RELATEDTABLE(Keys))
This gives me an average sales by store but none of the time filters on the page have any effect ( i assume this is the average sales for all the data relevent to each store)
How can i make the filters made on the date table effect this column?
Thanks in advance!
GOT IT!!!
AWUS Actual =
VAR __CATEGORY_VALUES = VALUES('Keys'[MonDate])
RETURN
DIVIDE(
SUMX(
KEEPFILTERS(__CATEGORY_VALUES),
CALCULATE(SUM('Keys'[Royalties]) / DISTINCTCOUNT('Keys'[Store Name]))
),
SUMX(
KEEPFILTERS(__CATEGORY_VALUES),
CALCULATE(DISTINCTCOUNT('Keys'[MonDate]))
)
)
9 Replies
Hi DaveyP,
Generally, if we want to filter data based on a Date table. We can
1. Create a relationship on the Date table and source table.
2. Add Filter() inside the expression.
Since you didn't share us your table structure or some sample data. It is hard for us to give a specific solution. Thus, please kindly share us more information which can help us understand your requirement more clearly.
Thanks,
Xi Jin.Sorry let me try and be more clear, in the example below 4 stores accross 4 weeks. The average store sales for the group is not simply total sales / number of stores / number of weeks. This wont work because 2 stores were not open in week 4 so to work it out i need to work out store by store then average it eg -
Store 1 total sales / 4
store 2 total sales / 4
store 3 total sales / 3
store 4 total sales / 3
Then average the 4 results
Question is how can i do this in DAX in a way that both the stores and weeks are still filterable on the page.
Store Week Sales Store 1 week 1 400 Store 2 week 1 500 Store 3 week 1 600 Store 4 week 1 700 Store 1 week 2 500 Store 2 week 2 600 Store 3 week 2 700 Store 4 week 2 800 Store 1 week 3 700 Store 2 week 3 800 Store 3 week 3 900 Store 1 week 4 600 Store 2 week 4 700 Store 3 week 4 800 DaveyP,
I have something that may work for you as it is something similar to a project of mine.
With the data you supplied:
Create two measures:
TotalSales = SUM(Table1[Sales])
CountWeeks = DISTINCTCOUNT(Table1[Week])
The third measure for Avg/Week:
AvgSales/Week = DIVIDE([TotalSales],[CountWeeks],BLANK())
To get something like the following:
This should work with your dataset.
In my project, while I have a dCalendar table, I had to take a DISTINCTCOUNT of the 'Dates' from the working table rather than the dCalendar table so the denominator was in the 1000's range rather than10,000's.
