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Hi team,
I am working on a project where there are sales value for Jan and Feb 2022.
I have to add the data from Mar'22 to Dec'22 - considering the numbers from FEB'22 and multiplying them by 1.5.
Kindly let me know how to achieve this?
Many thanks in advance.
Solved! Go to Solution.
Hi @mohdk52 ,
According to your description, here's my solution.
1.Create a new month table, don't make relationship with the fact table.
2.In Power Query, add an index column.
3.Create a measure.
Sales Measure =
VAR _Sales =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Month] = MAX ( 'Month'[Month] )
&& 'Table'[Region] = MAX ( 'Table'[Region] )
),
'Table'[Sales]
)
VAR _Last =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Index]
= MAXX (
FILTER (
ALL ( 'Table' ),
NOT ISBLANK ( 'Table'[Sales] )
&& 'Table'[Region] = MAX ( 'Table'[Region] )
),
'Table'[Index]
)
),
'Table'[Sales]
)
VAR _Diff =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Month] = MAX ( 'Month'[Month] )
&& 'Table'[Region] = MAX ( 'Table'[Region] )
),
'Table'[Index]
)
- MAXX (
FILTER (
ALL ( 'Table' ),
NOT ISBLANK ( 'Table'[Sales] )
&& 'Table'[Region] = MAX ( 'Table'[Region] )
),
'Table'[Index]
)
RETURN
IF ( NOT ISBLANK ( _Sales ), _Sales, _Last * POWER ( 1.5, _Diff ) )
Put the new month column, the measure and Region in the matrix, get the correct result.
I attach my sample below for reference.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please considerAccept it as the solution to help the other members find it more quickly.
@mohdk52 , Try a measure like
calculate(lastnonblankvalue('Date'[Month Year], [meausre]), filter(all('Date'), 'Date'[Date] >= eomonth(today(),-1) && 'Date'[Date] <= max('Date'[Date])))
Thanks @amitchandak But unfortunately it doesnt seem to be working.
Apologies If i didnt give the proper example before but in below example table.
Jan and Feb are actuals. And my dataset has data only for these 2 months.
Mar numbers are derived from Feb*1.5.
Apr numbers are derived from Mar*1.5.
I need to have this into a matrix chart.
| Month/Sales | JAN | FEB | MAR | APR |
| Region1 | 2000 | 3000 | 4500 | 6750 |
| Region2 | 3500 | 2500 | 3750 | 5625 |
Hi @mohdk52 ,
According to your description, here's my solution.
1.Create a new month table, don't make relationship with the fact table.
2.In Power Query, add an index column.
3.Create a measure.
Sales Measure =
VAR _Sales =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Month] = MAX ( 'Month'[Month] )
&& 'Table'[Region] = MAX ( 'Table'[Region] )
),
'Table'[Sales]
)
VAR _Last =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Index]
= MAXX (
FILTER (
ALL ( 'Table' ),
NOT ISBLANK ( 'Table'[Sales] )
&& 'Table'[Region] = MAX ( 'Table'[Region] )
),
'Table'[Index]
)
),
'Table'[Sales]
)
VAR _Diff =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Month] = MAX ( 'Month'[Month] )
&& 'Table'[Region] = MAX ( 'Table'[Region] )
),
'Table'[Index]
)
- MAXX (
FILTER (
ALL ( 'Table' ),
NOT ISBLANK ( 'Table'[Sales] )
&& 'Table'[Region] = MAX ( 'Table'[Region] )
),
'Table'[Index]
)
RETURN
IF ( NOT ISBLANK ( _Sales ), _Sales, _Last * POWER ( 1.5, _Diff ) )
Put the new month column, the measure and Region in the matrix, get the correct result.
I attach my sample below for reference.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please considerAccept it as the solution to help the other members find it more quickly.
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