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I'm trying to calculate the average on the raw subtotal using the ISINSCOPE function, but I'm getting the wrong answer. If you take a look at the "red" column, the average should be 35,401.9675 (141.608 divided by 4), but I'm getting 6.743.26, which is completely off. Can someone please help me fix this?
$ Won_Avg_Test = IF(ISINSCOPE(df_Opportunity_wAcct_wQL_wLost[QL.ProductCode (groups)]),CALCULATE(SUM(df_Opportunity_wAcct_wQL_wLost[QL.CustomerTotal.Converted]), FILTER(df_Opportunity_wAcct_wQL_wLost,
df_Opportunity_wAcct_wQL_wLost[StageName] = "9 - Closed Won" ||
df_Opportunity_wAcct_wQL_wLost[StageName] = "Closed Won")), CALCULATE(AVERAGE(df_Opportunity_wAcct_wQL_wLost[QL.CustomerTotal.Converted]), FILTER(df_Opportunity_wAcct_wQL_wLost,
df_Opportunity_wAcct_wQL_wLost[StageName] = "9 - Closed Won" ||
df_Opportunity_wAcct_wQL_wLost[StageName] = "Closed Won")))
Power BI File
https://drive.google.com/file/d/1di_W7jEBMYia042bsEN9Dy5m5OBAN1GW/view?usp=sharing
Data
https://drive.google.com/file/d/1o1KYZ2oU_4EiMkSCWEMLAJETedBca3gQ/view?usp=sharing
Thank you so much
Solved! Go to Solution.
Hi,
Please try something like below.
$ Won_Avg_Test =
IF (
ISINSCOPE ( df_Opportunity_wAcct_wQL_wLost[QL.ProductCode (groups)] ),
CALCULATE (
SUM ( df_Opportunity_wAcct_wQL_wLost[QL.CustomerTotal.Converted] ),
FILTER (
df_Opportunity_wAcct_wQL_wLost,
df_Opportunity_wAcct_wQL_wLost[StageName] = "9 - Closed Won"
|| df_Opportunity_wAcct_wQL_wLost[StageName] = "Closed Won"
)
),
AVERAGEX (
VALUES ( df_Opportunity_wAcct_wQL_wLost[QL.ProductCode (groups)] ),
CALCULATE (
SUM ( df_Opportunity_wAcct_wQL_wLost[QL.CustomerTotal.Converted] ),
df_Opportunity_wAcct_wQL_wLost[StageName] = "9 - Closed Won"
|| df_Opportunity_wAcct_wQL_wLost[StageName] = "Closed Won"
)
)
)
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi,
Please try something like below.
$ Won_Avg_Test =
IF (
ISINSCOPE ( df_Opportunity_wAcct_wQL_wLost[QL.ProductCode (groups)] ),
CALCULATE (
SUM ( df_Opportunity_wAcct_wQL_wLost[QL.CustomerTotal.Converted] ),
FILTER (
df_Opportunity_wAcct_wQL_wLost,
df_Opportunity_wAcct_wQL_wLost[StageName] = "9 - Closed Won"
|| df_Opportunity_wAcct_wQL_wLost[StageName] = "Closed Won"
)
),
AVERAGEX (
VALUES ( df_Opportunity_wAcct_wQL_wLost[QL.ProductCode (groups)] ),
CALCULATE (
SUM ( df_Opportunity_wAcct_wQL_wLost[QL.CustomerTotal.Converted] ),
df_Opportunity_wAcct_wQL_wLost[StageName] = "9 - Closed Won"
|| df_Opportunity_wAcct_wQL_wLost[StageName] = "Closed Won"
)
)
)
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
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