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CASE WHEN REPORT_DATE>DATEADD(DAY,305,MIN_MTH) THEN AVG(TOTAL_DEBT) OVER
PARTITION BY COMPANY_CODE,REGION_ID,CLUSTER_ID,MCO_ID,MSO_ID,COUNTRY_CODE,ACCOUNT_NO,CUSTOMER_NAME
RDER BY REPORT_DATE ROWS BETWEEN 11 PRECEDING AND CURRENT ROW) END AS TOTAL_DEBT_AVG
How i can resolve above issue can any please help me.
Solved! Go to Solution.
Hi @Anonymous
I haven't work with SQL window functions for quite some time, but if you try to explain what you trying to achieve and provide a data sample then I can try to help.
@Anonymous , Switch True you can use
example
color =
switch ( true(),
FIRSTNONBLANK(Table[commodity],"NA") ="commodity1" && sum(Table[Value]) >500,"lightgreen",
FIRSTNONBLANK(Table[commodity],"NA") ="commodity2" && sum(Table[Value]) >1000,"lightgreen",
/// Add more conditions
"red"
)
&& and
|| Or
between use && and put two condition
PARTITION BY - Summarize, groupby few more
Hi @Anonymous
I haven't work with SQL window functions for quite some time, but if you try to explain what you trying to achieve and provide a data sample then I can try to help.
Hi Mariusz. Thanksd for your response.
Here we are finding rolling average for last 12 months
MIN_MTH Having 2017-05-3 and we are adding 305 days when the our report date is > MIN_MTH then we are caluclting Average ofor last 12 months.
Hi @Anonymous
The below will give you 12 months avg, you add an if condition before this expression.
Sales Rolling 12 months =
CALCULATE(
AVERAGEX( Sales, Sales[Quantity] * Sales[Unit Price] ),
DATESINPERIOD( 'Calendar'[Date], MIN( 'Calendar'[Date] ) -1, -12, MONTH )
)
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