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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!
Solved! Go to Solution.
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]))
)
)
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.
Proud to be a Super User!
Hi Dozer
Thanks for your reply but this still doesnt give the right result, it is still total sales/total distinct weeks and doesnt work when 1 store wasnt open for that week
Dave
Hi @DaveyP, may I ask what you expect the answer to be in your dataset that you provided?
Proud to be a Super User!
Hi Dozer
Sorry to confuse, below is the example in more detail, the results i keep getting are essentially all stores sales added together (9300) divided by count of stores (2325) divided by count of weeks (581.25)
Week | Store1 | Store2 | Store3 | Store4 | AWUS | |
1 | 400 | 500 | 700 | 600 | 550 | (All stores sales divide by count of store (4)) |
2 | 500 | 600 | 800 | 700 | 650 | (All stores sales divide by count of store (4)) |
3 | 600 | 700 | 900 | 800 | 750 | (All stores sales divide by count of store (4)) |
4 | 700 | 800 | 750 | (All stores sales divide by count of store (2)) | ||
675 | Average sales = all weeks AWUS / Count of weeks |
Well this is interesting...adding an Average Line, You get the $675 but I do not know how it's calculated.
Proud to be a Super User!
How about this solution?
1) create a measure
AWUS = AVERAGEX(VALUES(Table1[Week]),CALCULATE(AVERAGE(Table1[Sales])))
2) use matrix, set AWUS as Values.
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]))
)
)
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