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Hello,
I need help on this. I am trying to develope a mesure to caclulate an average of last N entries (in this case 3 "working" days) of sales, when the table contains blank values for certain days (i.e. "non-working" days). The table has other columns with data under "non-working" days. So how can I go about creating a measure for this?
A sample data is as follow:
Date | Sales | Last 3 Sales Average |
6/1/2020 | $5,343.00 | |
6/2/2020 | $2,345.00 | |
6/3/2020 | $7,532.00 | $5,073.33 |
6/4/2020 | ||
6/5/2020 | ||
6/6/2020 | $2,343.00 | $4,073.33 |
6/7/2020 | ||
6/8/2020 | $6,342.00 | $5,405.67 |
6/9/2020 | $2,342.00 | $3,675.67 |
6/10/2020 | $3,523.00 | $4,069.00 |
6/11/2020 | $4,325.00 | $3,396.67 |
6/12/2020 | ||
6/13/2020 | ||
6/14/2020 | ||
6/15/2020 | ||
6/16/2020 | ||
6/17/2020 | $3,234.00 | $3,694.00 |
6/18/2020 | $3,245.00 | $3,239.50 |
6/19/2020 | $1,234.00 | $2,571.00 |
6/20/2020 | $2,345.00 | $2,274.67 |
For instance, for 6/20, it's AVE[6/20, 6/19, 6/18]; for 6/17, it's AVE[6/17, 6/11, 6/10]; for 6/8, it's AVE[6/8, 6/6, 6/3]; so forth.
Thank you.
Solved! Go to Solution.
Please try this expression that gets your desired results from your sample data.
Last 3 WD Sum =
VAR __thisdate =
MIN ( Sales[Date] )
VAR __top3 =
TOPN (
3,
FILTER ( FILTER ( ALL ( Sales ), Sales[Date] <= __thisdate ), Sales[Sales] > 0 ),
Sales[Date], DESC
)
RETURN
IF (
OR ( COUNTROWS ( __top3 ) < 3, ISBLANK ( SUM ( Sales[Sales] ) ) ),
BLANK (),
CALCULATE ( AVERAGE ( Sales[Sales] ), __top3 )
)
If this works for you, please mark it as the solution. Kudos are appreciated too. Please let me know if not.
Regards,
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
Please try this expression that gets your desired results from your sample data.
Last 3 WD Sum =
VAR __thisdate =
MIN ( Sales[Date] )
VAR __top3 =
TOPN (
3,
FILTER ( FILTER ( ALL ( Sales ), Sales[Date] <= __thisdate ), Sales[Sales] > 0 ),
Sales[Date], DESC
)
RETURN
IF (
OR ( COUNTROWS ( __top3 ) < 3, ISBLANK ( SUM ( Sales[Sales] ) ) ),
BLANK (),
CALCULATE ( AVERAGE ( Sales[Sales] ), __top3 )
)
If this works for you, please mark it as the solution. Kudos are appreciated too. Please let me know if not.
Regards,
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
Thanks so much to @mahoneypat , @parry2k for your elegant soluations.
The data set has an additional column with a location. So there are potentially N entries for a given date for N locations. I tried @parry2k's solution, but it didn't work out as expected; however it did for one location data set. For this reason, I ended up using @mahoneypat's solution, and it scales to what I have been looking for. I did though make a minor change: "FILTER(ALL(Sales)" -> "FILTER(ALLSELECTED(Sales)" to allow filters set for the report.
@trptl here is something I can think of right now but it can be surely improved but hope it get you started
First add a rank column
Date Rank = IF ( Data[Sales] <> BLANK(), RANKX ( FILTER( 'Data', Data[Sales] <> BLANK() ) , 'Data'[Date], , ASC ) )
Now add an average measure
Avg Measure =
VAR __endRank = MAX ( Data[Date Rank] )
VAR __startRank = MAX ( __endRank - 2, 1 )
VAR __avgDenominator = ( __endRank - __startRank ) + 1
RETURN
DIVIDE (
CALCULATE (
SUM ( Data[Sales] ),
ALL ( Data ),
Data[Date Rank] >= __startRank,
Data[Date Rank] <= __endRank
), __avgDenominator
)
check this out and see if it gets you what you are looking for, here is the output
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