Complete the code to calculate the total number of manufacturing failures detected by DFM analysis.
FailuresDetected = COUNTROWS(FILTER(ManufacturingData, ManufacturingData[DFM_Failure] = [1]))The DFM_Failure column marks failures as TRUE or FALSE. Counting rows where it is TRUE gives total failures detected.
Complete the DAX measure to calculate the failure rate percentage from DFM analysis.
FailureRate = DIVIDE(CALCULATE(COUNTROWS(ManufacturingData), ManufacturingData[DFM_Failure] = TRUE), [1]) * 100
The failure rate is failures divided by total rows. Total rows is COUNTROWS(ManufacturingData).
Fix the error in this DAX formula that calculates the average cost impact of failures detected by DFM analysis.
AvgCostImpact = AVERAGEX(FILTER(ManufacturingData, ManufacturingData[DFM_Failure] = [1]), ManufacturingData[CostImpact])The FILTER needs to select rows where DFM_Failure is TRUE to calculate average cost impact of failures.
Fill both blanks to create a measure that counts failures and sums their cost impact.
FailuresCount = COUNTROWS(FILTER(ManufacturingData, ManufacturingData[DFM_Failure] = [1])) TotalCostImpact = SUMX(FILTER(ManufacturingData, ManufacturingData[DFM_Failure] = [2]), ManufacturingData[CostImpact])
Both measures filter for failures marked TRUE to count and sum cost impact correctly.
Fill all three blanks to create a measure that calculates failure rate and formats it as a percentage string.
FailureRate = DIVIDE(CALCULATE(COUNTROWS(ManufacturingData), ManufacturingData[DFM_Failure] = [1]), [2]) FormattedRate = FORMAT(FailureRate, [3])
The measure divides count of failures (TRUE) by total rows, then formats as percentage with two decimals.
