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Georgia_H
Helper I
Helper I

How to set the denominator to be used as a constant value for calculation

Hello,

Can anyone please help. Thank you.

 

Objective: I want to calculate the Avg Compliance % of Metrics_ID divided by the constant Denominator (unique count by LBU & Metrics_ID i.e. 12)

Issue: I am unable to get the denominator as 12 to be applied in my division.

 

2 Measures derived:

I derived this measure to get the Distinctcount of Metrics_ID in the dataset (used as denominator)

Denominator =

VAR Count_PCM_denominator=CALCULATE(DISTINCTCOUNT('rep F_ITS_MetricsLanding'[Metrics_ID]),FILTER('rep F_ITS_MetricsLanding','rep F_ITS_MetricsLanding'[Metrics_ID] in {"PCM01","PCM03","PCM04","PCM09","PCM10","PCM19","PCM20","PCM23","PCM33","PCM34","PCM35","PCM36"}),ALL('rep F_ITS_MetricsLanding'[Metrics_ID],'rep F_ITS_MetricsLanding'[LBU]))

RETURN Count_PCM_denominator

 

Compliance_Value (AVG) =
VAR numerator=CALCULATE(AVERAGE('rep F_ITS_MetricsLanding'[Compliance_Value]))
RETURN DIVIDE(numerator,'rep F_ITS_MetricsLanding'[Denominator])
 

Expected Results:

Expected Results for EILUX  
LBUMetrics_IDAvg Compliance %Denominator (unique by Metrics_ID)Expected Compliance_Value (AVG) divided by MAX Count of Denominator i.e. 12
EILUXPCM2360.10%125.00%
    5.00%

 

Expected Results for PCALKK  
LBUMetrics_IDAvg Compliance %Denominator (unique by Metrics_ID)Expected Compliance_Value (AVG) divided by MAX Count of Denominator i.e. 12
PCALKKPCM04100.00%128.33%
    8.33%

 

Expected Results for PAMC  
LBUMetrics_IDAvg Compliance %Denominator (unique by Metrics_ID)Expected Compliance_Value (AVG) divided by MAX Count of Denominator i.e. 12
PAMCPCM0178.80%126.57%
PAMCPCM0381.30%126.78%
PAMCPCM0462.10%125.18%
PAMCPCM0956.80%124.73%
PAMCPCM1059.60%124.97%
PAMCPCM1968.60%125.72%
PAMCPCM2055.90%124.66%
PAMCPCM2385.90%127.16%
PAMCPCM3365.00%125.42%
PAMCPCM3447.80%123.98%
PAMCPCM3557.10%124.76%
PAMCPCM3662.00%125.17%
    65.08%

 

Sample data:

LBUMetrics_IDAvg Compliance %Denominator (unique by Metrics_ID)
EILUXPCM2360.10%1
PAMCPCM0178.80%1
PAMCPCM0381.30%1
PAMCPCM0462.10%1
PAMCPCM0956.80%1
PAMCPCM1059.60%1
PAMCPCM1968.60%1
PAMCPCM2055.90%1
PAMCPCM2385.90%1
PAMCPCM3365.00%1
PAMCPCM3447.80%1
PAMCPCM3557.10%1
PAMCPCM3662.00%1
PCALKKPCM04100.00%1
   12
1 ACCEPTED SOLUTION
v-xiaotang
Community Support
Community Support

Hi @Georgia_H 

Thanks for reaching out to us.

You can try this measure,

Denominator = 

VAR Count_PCM_denominator=CALCULATE(DISTINCTCOUNT('rep F_ITS_MetricsLanding'[Metrics_ID]),FILTER(ALL('rep F_ITS_MetricsLanding'),'rep F_ITS_MetricsLanding'[Metrics_ID] in {"PCM01","PCM03","PCM04","PCM09","PCM10","PCM19","PCM20","PCM23","PCM33","PCM34","PCM35","PCM36"}))

RETURN Count_PCM_denominator

vxiaotang_0-1660721194273.png

 

 

Best Regards,

Community Support Team _Tang

If this post helps, please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
v-xiaotang
Community Support
Community Support

Hi @Georgia_H 

Thanks for reaching out to us.

You can try this measure,

Denominator = 

VAR Count_PCM_denominator=CALCULATE(DISTINCTCOUNT('rep F_ITS_MetricsLanding'[Metrics_ID]),FILTER(ALL('rep F_ITS_MetricsLanding'),'rep F_ITS_MetricsLanding'[Metrics_ID] in {"PCM01","PCM03","PCM04","PCM09","PCM10","PCM19","PCM20","PCM23","PCM33","PCM34","PCM35","PCM36"}))

RETURN Count_PCM_denominator

vxiaotang_0-1660721194273.png

 

 

Best Regards,

Community Support Team _Tang

If this post helps, please consider Accept it as the solution to help the other members find it more quickly.

lbendlin
Super User
Super User

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