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mshodge
Frequent Visitor

Sum Single Column based on Multiple Name Appearances Across Columns

Hopefully you can assist..  We have multiple people working on numerous packing efforts.  Their name can appear in Column 1, 2 or 3.  Column 1 is the lead and columns 2 and 3 assist.  When one person completes the job they get full credit, 2 then .5 with 3 shared at .33.

 

I want to show a table with the packer names across the top and the dates (data column not shown) on the left.  How do I sum a single column (Packs) when the names can appear in either column 1, 2 or 3?

 

Packedby1Packedby2Packedby3Packs
a  1
a  1
a  1
ab 0.5
ab 0.5
ab 0.5
ac 0.5
ac 0.5
ac 0.5
abc0.33
abc0.33
abc0.33
b  1
b  1
b  1
bc 0.5
bc 0.5
bc 0.5
c  1
c  1
c  1
1 ACCEPTED SOLUTION
Phil_Seamark
Employee
Employee

Hi @mshodge

 

You could pivot the so you have the data in a tall column using the following calculated table :

 

Table = UNION(
            SELECTCOLUMNS('Table1',"PackedBy",'Table1'[Packedby1],"Packs",[Packs]),
            SELECTCOLUMNS('Table1',"PackedBy",'Table1'[Packedby1],"Packs",[Packs]),
            SELECTCOLUMNS('Table1',"PackedBy",'Table1'[Packedby1],"Packs",[Packs])
            )

Then you and put the Packer in a Matrix visual on columns and the rows will sum up correctly.

 

 


To learn more about DAX visit : aka.ms/practicalDAX

Proud to be a Datanaut!

View solution in original post

2 REPLIES 2
Phil_Seamark
Employee
Employee

Hi @mshodge

 

You could pivot the so you have the data in a tall column using the following calculated table :

 

Table = UNION(
            SELECTCOLUMNS('Table1',"PackedBy",'Table1'[Packedby1],"Packs",[Packs]),
            SELECTCOLUMNS('Table1',"PackedBy",'Table1'[Packedby1],"Packs",[Packs]),
            SELECTCOLUMNS('Table1',"PackedBy",'Table1'[Packedby1],"Packs",[Packs])
            )

Then you and put the Packer in a Matrix visual on columns and the rows will sum up correctly.

 

 


To learn more about DAX visit : aka.ms/practicalDAX

Proud to be a Datanaut!

Awesome.  Great response Phil.  Thank you.  I changed each line to Packedby1 to Packedby2 and 3.  I then filtered out the blanks (there will be many more blanks than data).

 

Cheers, Matt

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