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Anonymous
Not applicable

Week over Week % change with Slicer capability

I am trying to create a waterfall chart which displays week over week % changes in inventory sliced by Customer_Name and DMA_Code.  I have tried using example from previous posted solutions, but not getting what I need.

The following provides the numbers but the slicer choices all show the same values.

Using:

WoW Change =
VAR lastWeekAmount =
CALCULATE (
SUM ( INVENTORY[INVENTORY]),
FILTER (
ALL ( 'INVENTORY' ),
'INVENTORY'[Weeknum]
= MIN ( 'INVENTORY'[Weeknum] ) - 1
)
)
RETURN
DIVIDE ( SUM ( INVENTORY[INVENTORY] ) - lastWeekAmount, lastWeekAmount, 0 )
 
On this table:
 
 
1 ACCEPTED SOLUTION
Fowmy
Super User
Super User

@Anonymous 

Try 

WoW Change =
VAR lastWeekAmount =
CALCULATE (
  SUM ( INVENTORY[INVENTORY]),
  FILTER (
   ALLSELECTED ( 'INVENTORY' ),
   'INVENTORY'[Weeknum] = MIN ( 'INVENTORY'[Weeknum] ) - 1
  )
)
RETURN
DIVIDE ( SUM ( INVENTORY[INVENTORY] ) - lastWeekAmount, lastWeekAmount, 0 )

 

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View solution in original post

1 REPLY 1
Fowmy
Super User
Super User

@Anonymous 

Try 

WoW Change =
VAR lastWeekAmount =
CALCULATE (
  SUM ( INVENTORY[INVENTORY]),
  FILTER (
   ALLSELECTED ( 'INVENTORY' ),
   'INVENTORY'[Weeknum] = MIN ( 'INVENTORY'[Weeknum] ) - 1
  )
)
RETURN
DIVIDE ( SUM ( INVENTORY[INVENTORY] ) - lastWeekAmount, lastWeekAmount, 0 )

 

________________________

If my answer was helpful, please consider Accept it as the solution to help the other members find it

Click on the Thumbs-Up icon if you like this reply 🙂

YouTube  LinkedIn

Did I answer your question? Mark my post as a solution! and hit thumbs up


Subscribe and learn Power BI from these videos

Website LinkedIn PBI User Group

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