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sachingupta31
New Member

Grouping multiple rows in 1 based on one column value in Power BI

Hello,

 

I have below data in power BI.

URLCount
/XXX/v1/sac5
/XXX/v1/sac/10

 

What I would like to do is group the URL column value after cleaning them and then the final output should be like below

 

URLCount
/XXX/v1/sac15

 

For first step I had removed the '/' from the end to make the URL same so that we can group. Below is the expression I have written.

Right (col1], 1) = "/",
LEFT(col1, LEN(col1) -1),
col1
)

which gives the output = /XXX/v1/sac

For 2nd step I am trying to group using  SUMMARIZE DAX function, but it is not working for me. Can someone help on to achieve the desired output?

 

Thanks,

Sachin

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @sachingupta31 ,

Below is my table:

vxiandatmsft_0-1700715563152.png

The following DAX might work for you:

Measure = 
   CALCULATE(
      SUM('Table'[col2]),
      ALLEXCEPT('Table','Table'[col 1])
   )

The final output is shown in the following figure:

vxiandatmsft_1-1700715616659.png

Best Regards,

Xianda Tang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

3 REPLIES 3
Rupak_bi
Solution Specialist
Solution Specialist

if the Url exactly matches, it should work. please share sample data to check.



Regards
Rupak
FOLLOW ME : https://www.linkedin.com/in/rupaksar/

sachingupta31_0-1700698128399.png

Hi @Rupak_bi  PFA, sample data and output.  Also, col1 is a column in a table and Col2 is measure created using below formula.
col2 Measure formula= CALCULATE(COUNT(Related Features))

please let me know if it works.

Anonymous
Not applicable

Hi @sachingupta31 ,

Below is my table:

vxiandatmsft_0-1700715563152.png

The following DAX might work for you:

Measure = 
   CALCULATE(
      SUM('Table'[col2]),
      ALLEXCEPT('Table','Table'[col 1])
   )

The final output is shown in the following figure:

vxiandatmsft_1-1700715616659.png

Best Regards,

Xianda Tang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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