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mattcameron Frequent Visitor
Frequent Visitor

SUMX with modifications

Hi,

I have a table with 3 columns, Item, Unit of Measure, and Quantity.

 

 

ItemUnit of MeasureQuantity
Akg1
Bmg1000000
Cmg1000000
Amg1000000


I want to add a measure to sum the quantities, but differently depending on the Unit of Measure for each row. If Unit of Measure = "kg", then Quantity X 1000000, else Quantity.

 

The resulting table would look like the following:

ItemTotal
A2000000
B1000000
C1000000
2 ACCEPTED SOLUTIONS

Accepted Solutions
Highlighted
Super User
Super User

Re: SUMX with modifications

Hi @mattcameron

 

Try this, where Table1 is the table you show:

 

1. Set Table1[ID] in the rows of a matrix visual

2. Create this measure and place it in values of the matrix:

 

Measure =
SUMX (
    Table1,
    IF (
        Table1[Unit of Measure] = "kg",
        Table1[Quantity] * 1000000,
        Table1[Quantity]
    )
)
Super User
Super User

Re: SUMX with modifications

So, something like:

 

Measure = 
VAR __table = SUMMARIZE('Table4',[Item],[Unit of Measure],"__quantity",IF([Unit of Measure]="kg",SUM([Quantity])*1000000,SUM([Quantity])))
RETURN
SUMX(__table,[__quantity])

?

 

See attached Table 4, Page 3


Did I answer your question? Mark my post as a solution!

Proud to be a Datanaut!


2 REPLIES 2
Highlighted
Super User
Super User

Re: SUMX with modifications

Hi @mattcameron

 

Try this, where Table1 is the table you show:

 

1. Set Table1[ID] in the rows of a matrix visual

2. Create this measure and place it in values of the matrix:

 

Measure =
SUMX (
    Table1,
    IF (
        Table1[Unit of Measure] = "kg",
        Table1[Quantity] * 1000000,
        Table1[Quantity]
    )
)
Super User
Super User

Re: SUMX with modifications

So, something like:

 

Measure = 
VAR __table = SUMMARIZE('Table4',[Item],[Unit of Measure],"__quantity",IF([Unit of Measure]="kg",SUM([Quantity])*1000000,SUM([Quantity])))
RETURN
SUMX(__table,[__quantity])

?

 

See attached Table 4, Page 3


Did I answer your question? Mark my post as a solution!

Proud to be a Datanaut!