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Anonymous
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## Highest Monthly Total in A Given Time Period - Measure

Hello,

I am trying to create a measure which can show the highest monthly total sales in a given time period. See the sales table below:

 Date Sales 7/2/2020 \$        100 7/2/2020 \$        200 7/28/2020 \$        500 8/4/2020 \$        300 9/5/2020 \$        200 7/2/2021 \$        100 7/2/2021 \$        100 8/4/2021 \$        900 9/5/2021 \$        200

There is another date table that I want to filter on. When I filter year 2020, the measure should show \$800 (July 2021 total sales amount); when I filter 2021, the measure should show \$900 (August 2021 total sales amount); when I don't filter anything, it should show \$900 (August 2021 total sales amount); when I select a sepecific month, it should show the monthly total sales amount of the month selected - e.g. if I select Sept 2021, it should show \$200.

Is there a way to create this measure without creating a new table?

Thank you very much for your help!

1 ACCEPTED SOLUTION
Community Champion

 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!
3 REPLIES 3
Anonymous
Not applicable

Thank you both very much for your help! @CNENFRNL @Jos_Woolley

Community Champion

 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!
Solution Sage

Hi,

Assuming your Sales table is related appropriately to a Date table named Dates:

``````Max Monthly Sales =
VAR MyTable =
SUMMARIZE (
Sales,
Dates[Date].[Year],
Dates[Date].[Month],
"Monthly Sales", SUM ( Sales[Sales] )
)
RETURN
MAXX ( MyTable, [Monthly Sales] )``````

Regards

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