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Input Data
Country | State | Sales Amount |
India | Hyderabad | 150014 |
India | Delhi | 185405 |
India | Mumbai | 220796 |
US | Georgia | 125405 |
US | Mexico | 145405 |
US | New York | 165405 |
UK | England | 120245 |
UK | Scotland | 169875 |
UK | Ireland | 168472 |
Problem Statement: (New Measure / New Column)
Sum of Minimum sales of country = |
Sum of Max sales of country = |
Sum of Average sales of country = |
Visual output =
Show Measure values as per slicer selection.
Slicer Selection:
India | US | UK |
Card Output:
Min Value | Average Value | Max Value |
@8125551478 This looks like a measure aggregation problem. See my blog article about that here: https://community.powerbi.com/t5/Community-Blog/Design-Pattern-Groups-and-Super-Groups/ba-p/138149
The pattern is:
MinScoreMeasure = MINX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
MaxScoreMeasure = MAXX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
AvgScoreMeasure = AVERAGEX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
etc.
Thank You , also kindly sugest the below problem statement.
calculate % Difference with other countys (when compair total sales of india to other counters ,How much of % difference is coming )
Country | State | Sales Amount |
India | Hyderabad | 150014 |
India | Delhi | 185405 |
India | Mumbai | 220796 |
US | Georgia | 125405 |
US | Mexico | 145405 |
US | New York | 165405 |
UK | England | 120245 |
UK | Scotland | 169875 |
UK | Ireland | 168472 |
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