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HI Team
I have 2 filter my report below
I have table below format
| Date | Country_Name | Count |
| 20-May-20 | INDIA | 20 |
| 20-May-20 | AMERICA | 10 |
| 20-May-20 | South africa | 30 |
| 21-May-20 | INDIA | 25 |
| 21-May-20 | AMERICA | 10 |
| 21-May-20 | South africa | 25 |
| 24-May-20 | INDIA | 30 |
| 24-May-20 | AMERICA | 10 |
| 24-May-20 | South africa | 34 |
IF User select 20-may-2020 to 26-may-2020 but data didnt avialble 23,25,26 dates
INDIA avaerage=(20+25+30)/3 =28.3( sum of count divided by No of data availlable date)
similar Amrica and South africa
please anybody help this
Thanks
Shanvitha
Solved! Go to Solution.
Hi @Anonymous ,
You can try measure like this:
average_count =
VAR RunningTotal =
CALCULATE (
SUM ( 'Table'[Count] ),
FILTER (
ALLSELECTED ( 'Table' ),
SUMX (
FILTER (
( 'Table' ),
EARLIER ( 'Table'[Country_Name] ) = 'Table'[Country_Name]
),
'Table'[Count]
)
)
)
VAR distinct_day =
CALCULATE ( DISTINCTCOUNT ( 'Table'[Date] ), ALLSELECTED ( 'Table' ) )
RETURN
DIVIDE ( RunningTotal, distinct_day )
Best Regards,
Liang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@Anonymous , Simple Average should have done that, or do you want display against all dates, then you have to use all except : https://www.sqlbi.com/articles/using-allexcept-versus-all-and-values/
@Anonymous why you are not using simple average function in a measure
Avg = AVERAGE ( Table[Count] )
In table visual, use country and above measure, and you will get the result.
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Hi Parrys
Thanks your replay.
I have given 3 column its working fine.
but I have 5 column its not working
| Date | Country_Name | Count | BPID | RES/NON |
| 20-May-20 | INDIA | 20 | Z10 | RES |
| 20-May-20 | INDIA | 15 | Z12 | NONRES |
| 20-May-20 | AMERICA | 10 | z12 | RES |
| 20-May-20 | South africa | 30 | Z10 | RES |
| 21-May-20 | INDIA | 25 | Z10 | RES |
| 21-May-20 | INDIA | 25 | Z14 | RES |
| 21-May-20 | AMERICA | 10 | Z12 | RES |
| 21-May-20 | South africa | 25 | Z15 | NONRES |
| 24-May-20 | INDIA | 30 | Z20 | NONRES |
| 24-May-20 | INDIA | 34 | Z20 | RES |
| 24-May-20 | AMERICA | 10 | Z35 | RES |
| 24-May-20 | South africa | 34 | Z10 | NONRES |
ABove table INDIA output =(20+15+25+25+30+34)/2=49.6
Please help on this
Thanks
Shnavitha
Hi @Anonymous ,
You can try measure like this:
average_count =
VAR RunningTotal =
CALCULATE (
SUM ( 'Table'[Count] ),
FILTER (
ALLSELECTED ( 'Table' ),
SUMX (
FILTER (
( 'Table' ),
EARLIER ( 'Table'[Country_Name] ) = 'Table'[Country_Name]
),
'Table'[Count]
)
)
)
VAR distinct_day =
CALCULATE ( DISTINCTCOUNT ( 'Table'[Date] ), ALLSELECTED ( 'Table' ) )
RETURN
DIVIDE ( RunningTotal, distinct_day )
Best Regards,
Liang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thanks Vianl
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