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Anonymous
Not applicable

## AVERAGEX measure with filterted subset of rows

Hi everyone,

I have a table with a 'Date' column (contains repeated dates) and an 'Orders' column.

I have the following measure summing the 'Orders' column: MeasureAllOrders = SUM(SalesData[Orders])And I am using this measure to create a number of visuals that show average orders per day (according to month, weekday, etc): MeasureAllOrdersPerDay = AVERAGEX(VALUES(SalesData[Date]),[MeasureAllOrders]). That is working fine.

I have another measure that also sums up 'Orders' but only those made in the previous completed month and the 183 days prior to the last day of the previous month:

Measure6MonthsOrders = CALCULATE(SUM(SalesData[Orders]),
CALCULATETABLE(
SalesData,
SalesData[Date]>=EOMONTH(TODAY(),-1)-183)
)

That seems to work fine too.

But what would be the equivalent DAX to measure the average orders per day (Measure6MonthsOrdersPerDay) for that same period? I've tried various things with FILTER and CALCULATETABLE but not getting the right answer.

1 ACCEPTED SOLUTION
Super User

@Anonymous , Try with a date table

Rolling 6 Orders= CALCULATE(sum(SalesData[Orders]),DATESINPERIOD('Date'[Date],ENDOFMONTH(SalesData[Date]),-12,MONTH))

or
Rolling 6 Orders= CALCULATE(sum(SalesData[Orders]),DATESINPERIOD('Date'[Date ],MAX(SalesData[Date]),-12,MONTH))

Rolling 6 Date= CALCULATE(distinctcount(SalesData[Date]),DATESINPERIOD('Date'[Date],ENDOFMONTH(SalesData[Date]),-12,MONTH))

or
Rolling 6 Date= CALCULATE(distinctcount(SalesData[Date]),DATESINPERIOD('Date'[Date ],MAX(SalesData[Date]),-12,MONTH))

Avg order per day = divide([Rolling 6 Orders],[Rolling 6 Date])

To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s. Refer :
https://www.archerpoint.com/blog/Posts/creating-date-table-power-bi
https://www.sqlbi.com/articles/creating-a-simple-date-table-in-dax/

See if my webinar on Time Intelligence can help: https://community.powerbi.com/t5/Webinars-and-Video-Gallery/PowerBI-Time-Intelligence-Calendar-WTD-YTD-LYTD-Week-Over-Week/m-p/1051626#M184

4 REPLIES 4
Super User

@Anonymous , Try with a date table

Rolling 6 Orders= CALCULATE(sum(SalesData[Orders]),DATESINPERIOD('Date'[Date],ENDOFMONTH(SalesData[Date]),-12,MONTH))

or
Rolling 6 Orders= CALCULATE(sum(SalesData[Orders]),DATESINPERIOD('Date'[Date ],MAX(SalesData[Date]),-12,MONTH))

Rolling 6 Date= CALCULATE(distinctcount(SalesData[Date]),DATESINPERIOD('Date'[Date],ENDOFMONTH(SalesData[Date]),-12,MONTH))

or
Rolling 6 Date= CALCULATE(distinctcount(SalesData[Date]),DATESINPERIOD('Date'[Date ],MAX(SalesData[Date]),-12,MONTH))

Avg order per day = divide([Rolling 6 Orders],[Rolling 6 Date])

To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s. Refer :
https://www.archerpoint.com/blog/Posts/creating-date-table-power-bi
https://www.sqlbi.com/articles/creating-a-simple-date-table-in-dax/

See if my webinar on Time Intelligence can help: https://community.powerbi.com/t5/Webinars-and-Video-Gallery/PowerBI-Time-Intelligence-Calendar-WTD-YTD-LYTD-Week-Over-Week/m-p/1051626#M184

Super User

@Anonymous - Seems like that it should be:

``````Measure6MonthsOrders = CALCULATE(AVERAGE(SalesData[Orders]),
CALCULATETABLE(
SalesData,
SalesData[Date]>=EOMONTH(TODAY(),-1)-183)
)``````

but maybe:

``Measure6MonthsOrders = AVERAGEX(FILTER(SalesData,SalesData[Date]>=EOMONTH(TODAY(),-1)-183),[Orders])``

Become an expert!: Enterprise DNA
External Tools: MSHGQM
Latest book!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...
Anonymous
Not applicable

Thanks @Greg_Deckler.

For clarifty, you are suggesitng I need to change my existing Measure6MonthsOrders measure first of all, yes?

Super User

@Anonymous - I'm not sure I am following what you are asking. Perhaps sample data and expected output would help.

Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882

The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.

Become an expert!: Enterprise DNA
External Tools: MSHGQM
Latest book!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...