Don't miss your chance to take exam DP-600 or DP-700 on us!
Request nowLearn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi Experts,
Suppose I have below date with some value as well as missing value.
Date Value
8/18/2020---45
8/19/2020---36
8/20/2020---25
8/21/2020
8/22/2020
8/23/2020
8/24/2020---96
8/25/2020---22
8/26/2020---89
8/27/2020
8/28/2020---56
8/29/2020---85
Here we have missing data for date 8/27/2020 (1 day )and from date 08/21 to 08/23 (3 days)
I want to create a measure in such a way that I can get a average data for missing date.
For Example:-(25+96)/2---from date 08/21 to 08/23 and (89+56)/2--for date 8/27
Thanks,
Annu
Solved! Go to Solution.
Hi, @Annu_choubey , pls refer to a DAX solution.
Avg =
VAR __prev_nonblank =
LASTNONBLANKVALUE (
FILTER ( ALL ( DS[Date] ), DS[Date] <= MIN ( DS[Date] ) ),
MAX ( DS[Value] )
)
VAR __next_nonblank =
FIRSTNONBLANKVALUE (
FILTER ( ALL ( DS[Date] ), DS[Date] >= MIN ( DS[Date] ) ),
MAX ( DS[Value] )
)
RETURN
IF (
ISBLANK ( MIN ( DS[Value] ) ),
( __next_nonblank + __prev_nonblank ) / 2,
MIN ( DS[Value] )
)
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi, @Annu_choubey , pls refer to a DAX solution.
Avg =
VAR __prev_nonblank =
LASTNONBLANKVALUE (
FILTER ( ALL ( DS[Date] ), DS[Date] <= MIN ( DS[Date] ) ),
MAX ( DS[Value] )
)
VAR __next_nonblank =
FIRSTNONBLANKVALUE (
FILTER ( ALL ( DS[Date] ), DS[Date] >= MIN ( DS[Date] ) ),
MAX ( DS[Value] )
)
RETURN
IF (
ISBLANK ( MIN ( DS[Value] ) ),
( __next_nonblank + __prev_nonblank ) / 2,
MIN ( DS[Value] )
)
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Thank You😊!!
You can try by going into Power Query
- Duplicate your Value column
- Fill Orignal Value column by Up
- Fill Duplicated Value column by Down
- Add a custom Column (New Value) by ([Value] +[Value - Copy])/2
- This new column will have your desired results.
Proud to be a Super User!
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 53 | |
| 49 | |
| 33 | |
| 16 | |
| 15 |
| User | Count |
|---|---|
| 85 | |
| 70 | |
| 38 | |
| 28 | |
| 25 |