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Hi ,
Need help to calculate "missing rows".
I have a table :
Region | Country | Product | Week | Quantity |
APAC | Australia | X | 1 | 10 |
APAC | Australia | Y | 1 | 12 |
APAC | Australia | Z | 1 | 32 |
APAC | Japan | X | 1 | 7 |
APAC | Hong Kong | X | 1 | 4 |
APAC | Hong Kong | Y | 1 | 13 |
APAC | Hong Kong | Z | 1 | 15 |
The goal is to add missing rows for each country,product,week.
in the example i need to add rows for country Japan the missing products (Y,Z)
The quantity will be summerize quantity of Region by product,week
Region | Country | Product | Week | Quantity |
APAC | Australia | X | 1 | .10 |
APAC | Australia | Y | 1 | 12 |
APAC | Australia | Z | 1 | 32 |
APAC | Japan | X | 1 | 7 |
APAC | Japan | Y | 1 | 25 (12 + 13) |
APAC | Japan | Z | 1 | 47 (32+15) |
Solved! Go to Solution.
Hi @RsimonAlign
Try this code to add a new table:
New Table =
VAR _A =
SUMMARIZE ( 'Table', 'Table'[Region], 'Table'[Country], 'Table'[Week] )
VAR _B =
VALUES ( 'Table'[Product] )
VAR _C =
CROSSJOIN ( _A, _B )
RETURN
ADDCOLUMNS (
_C,
"Quantity",
IF (
CALCULATE (
MAX ( 'Table'[Quantity] ),
FILTER (
ALL ( 'Table' ),
'Table'[Country] = EARLIER ( [Country] )
&& 'Table'[Week] = EARLIER ( [Week] )
&& 'Table'[Product] = EARLIER ( [Product] )
)
)
<> BLANK (),
CALCULATE (
MAX ( 'Table'[Quantity] ),
FILTER (
ALL ( 'Table' ),
'Table'[Country] = EARLIER ( [Country] )
&& 'Table'[Week] = EARLIER ( [Week] )
&& 'Table'[Product] = EARLIER ( [Product] )
)
),
CALCULATE (
SUM ( 'Table'[Quantity] ),
FILTER (
ALL ( 'Table' ),
'Table'[Week] = EARLIER ( [Week] )
&& 'Table'[Product] = EARLIER ( [Product] )
)
)
)
)
Output:
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
Hi @RsimonAlign
Try this code to add a new table:
New Table =
VAR _A =
SUMMARIZE ( 'Table', 'Table'[Region], 'Table'[Country], 'Table'[Week] )
VAR _B =
VALUES ( 'Table'[Product] )
VAR _C =
CROSSJOIN ( _A, _B )
RETURN
ADDCOLUMNS (
_C,
"Quantity",
IF (
CALCULATE (
MAX ( 'Table'[Quantity] ),
FILTER (
ALL ( 'Table' ),
'Table'[Country] = EARLIER ( [Country] )
&& 'Table'[Week] = EARLIER ( [Week] )
&& 'Table'[Product] = EARLIER ( [Product] )
)
)
<> BLANK (),
CALCULATE (
MAX ( 'Table'[Quantity] ),
FILTER (
ALL ( 'Table' ),
'Table'[Country] = EARLIER ( [Country] )
&& 'Table'[Week] = EARLIER ( [Week] )
&& 'Table'[Product] = EARLIER ( [Product] )
)
),
CALCULATE (
SUM ( 'Table'[Quantity] ),
FILTER (
ALL ( 'Table' ),
'Table'[Week] = EARLIER ( [Week] )
&& 'Table'[Product] = EARLIER ( [Product] )
)
)
)
)
Output:
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
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