Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
This is my data set, daily number of leads and sales. I need to create a rolling 4 week average conversion rate (meaning sales/leads) between the two.
Solved! Go to Solution.
Hi,
I am not sure if I understood your question correctly, but please check the below picture and the attached pbix file.
- I created a sample pbix file like below.
- it is for creating a measure to provide 28days rolling average (daily avg.)
- I created a calendar table to use time-intelligent DAX function -> DATESINPERIOD & LASTDATE
Rolling four weeks avg conversion: =
VAR rollingfourweeks =
DATESINPERIOD ( 'Calendar'[Date], LASTDATE ( 'Calendar'[Date] ), -28, DAY )
VAR _condition =
COUNTROWS ( rollingfourweeks ) >= 28
RETURN
AVERAGEX ( rollingfourweeks, [Conversion measure:] )
* DIVIDE ( _condition, _condition )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi,
I am not sure if I understood your question correctly, but please check the below picture and the attached pbix file.
- I created a sample pbix file like below.
- it is for creating a measure to provide 28days rolling average (daily avg.)
- I created a calendar table to use time-intelligent DAX function -> DATESINPERIOD & LASTDATE
Rolling four weeks avg conversion: =
VAR rollingfourweeks =
DATESINPERIOD ( 'Calendar'[Date], LASTDATE ( 'Calendar'[Date] ), -28, DAY )
VAR _condition =
COUNTROWS ( rollingfourweeks ) >= 28
RETURN
AVERAGEX ( rollingfourweeks, [Conversion measure:] )
* DIVIDE ( _condition, _condition )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi, i have a change in the data set and it is instead by week.
How would i calculate a 4 week moving average in this case?
Hi,
Thank you for your feedback.
Please check the below picture and the attached pbix file.
All measures are in the attached pbix file.
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hey, i have one more i need help with.
In this case, the rolling 4 week averagewould be a sum of the Actuals col grouped on the week and state cols, and then divided by 4. Any ideas?
Hi,
Thank you for your message, and please check the below picture and the attached pbix file.
I tried to create a new sample pbix file like below.
I am not sure how your data model looks like, and if the below is not what you are looking for, please share your sample pbix file's link here. And then I can try to look into it to have a more accurate solution.
Rolling avg 4 wks: =
VAR _fourweekstable =
DATESINPERIOD ( 'Calendar'[Date], LASTDATE ( 'Calendar'[Date] ), -28, DAY )
VAR _newtable =
FILTER (
ADDCOLUMNS (
SUMMARIZE (
CALCULATETABLE ( 'Calendar', 'Calendar'[Date] IN _fourweekstable ),
'Calendar'[Start of Week]
),
"@actuals", [Actuals sum:]
),
[@actuals] <> BLANK ()
)
VAR _condition =
COUNTROWS ( _newtable ) >= 4
RETURN
AVERAGEX ( _newtable, [@actuals] ) * DIVIDE ( _condition, _condition )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
112 | |
101 | |
75 | |
65 | |
63 |
User | Count |
---|---|
140 | |
105 | |
102 | |
81 | |
67 |