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Hi Team,
I have a data set in the following format.
I have created a measure to calculate daily growth as follows
Solved! Go to Solution.
HI @Jos13,
You can try to use following link if it meets your requirement:
Weekly growth% =
VAR currDate =
MAX ( 'DateTable'[Date] )
VAR _curr =
CALCULATE (
SUM ( Table[Sales] ),
FILTER (
ALLSELECTED ( Table ),
YEAR ( [Date] ) = YEAR ( currDate )
&& WEEKNUM ( [Date] ) = WEEKNUM ( currDate )
)
)
VAR _prev =
CALCULATE (
SUM ( Table[Sales] ),
FILTER (
ALLSELECTED ( Table ),
IF (
WEEKNUM ( currDate ) > 1,
YEAR ( [Date] ) = YEAR ( currDate )
&& WEEKNUM ( [Date] ) = WEEKNUM ( currDate ),
YEAR ( [Date] )
= YEAR ( currDate ) - 1
&& WEEKNUM ( [Date] )
= WEEKNUM ( DATE ( YEAR ( currDate ) - 1, 12, 31 ) )
)
)
)
RETURN
DIVIDE ( _curr - _prev, _prev )
Regards,
Xiaoxin Sheng
HI @Jos13,
You can try to use following link if it meets your requirement:
Weekly growth% =
VAR currDate =
MAX ( 'DateTable'[Date] )
VAR _curr =
CALCULATE (
SUM ( Table[Sales] ),
FILTER (
ALLSELECTED ( Table ),
YEAR ( [Date] ) = YEAR ( currDate )
&& WEEKNUM ( [Date] ) = WEEKNUM ( currDate )
)
)
VAR _prev =
CALCULATE (
SUM ( Table[Sales] ),
FILTER (
ALLSELECTED ( Table ),
IF (
WEEKNUM ( currDate ) > 1,
YEAR ( [Date] ) = YEAR ( currDate )
&& WEEKNUM ( [Date] ) = WEEKNUM ( currDate ),
YEAR ( [Date] )
= YEAR ( currDate ) - 1
&& WEEKNUM ( [Date] )
= WEEKNUM ( DATE ( YEAR ( currDate ) - 1, 12, 31 ) )
)
)
)
RETURN
DIVIDE ( _curr - _prev, _prev )
Regards,
Xiaoxin Sheng
Hi @Jos13
You can use the Relative Date Dimension table or parts of it, the below blog post will have an example of the previous week
https://community.powerbi.com/t5/Community-Blog/Relative-Date-Dimension/ba-p/779039
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