It seems like you're encountering a common issue with Power BI when using slicers and filters. When slicers are applied, they filter the data differently from when filters are applied directly to visualizations. This can affect the results of your measures, as you've observed.
To ensure that your measures behave consistently whether you filter using slicers or filter panes directly on visualizations, you can adjust your DAX measures to consider the context correctly.
One approach is to use functions like CALCULATE and FILTER to modify the context within which your measures are evaluated. Here's how you can modify your measures META and COLHIDO%:
META =
VAR AvgHectare = AVERAGE(Talhao[NN3_HECTAR]) * 25000
RETURN
CALCULATE(
SUMX(Talhao, AvgHectare),
ALL(Talhao)
)
COLHIDO% =
VAR TotalQuantity = SUM(Prod[QUANTIDADE])
RETURN
DIVIDE(
TotalQuantity,
[META],
0
)
In these modified measures:
- META: We use CALCULATE to override any filters applied by slicers by using the ALL function on the Talhao table. This ensures that the SUMX function operates on all rows of the Talhao table, regardless of any slicer selections.
- COLHIDO%: We calculate the ratio of TotalQuantity to [META] based on the context established by the slicers.
With these modifications, your measures should behave consistently whether you filter using slicers or directly on charts. Adjustments might be necessary depending on your exact requirements and data model.
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