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kavyakoya
New Member

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Hi, 

 

I have taken Sample data from XL file as source Data and also Destination data removed some columns from destination data, source data was same as that  , now I want to match the two table data count based on different columns and have to build the report using these two tables, both tables have many to many relationship , how can I achieve this , Please tell me is there any way to solve this scenario .

 

Thanks in Advance,

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi  @kavyakoya ,

I created some data:

Table:

vyangliumsft_0-1657178489387.png

Table2:

vyangliumsft_1-1657178489388.png

Display the data of Group=1 in Table 1 and YES/NO=Yes in Table 2

Here are the steps you can follow:

1. Create measure.

Flag =
var _1=
CALCULATE(
    MAX('Table2'[YES/NO]),FILTER(ALL('Table'),'Table'[Index]=MAX('Table2'[Index])))
return
IF(
    _1="Yes"&&MAX('Table'[Group])="A",1,0)

2. Place [Flag]in Filters, set is=1, apply filter.

vyangliumsft_2-1657178489388.png

3. Result:

vyangliumsft_3-1657178489388.png

If I have misunderstood your meaning, please provide your desired output and your pbix without privacy information.

If you need pbix, please click here.

 

Best Regards,

Liu Yang

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

1 REPLY 1
Anonymous
Not applicable

Hi  @kavyakoya ,

I created some data:

Table:

vyangliumsft_0-1657178489387.png

Table2:

vyangliumsft_1-1657178489388.png

Display the data of Group=1 in Table 1 and YES/NO=Yes in Table 2

Here are the steps you can follow:

1. Create measure.

Flag =
var _1=
CALCULATE(
    MAX('Table2'[YES/NO]),FILTER(ALL('Table'),'Table'[Index]=MAX('Table2'[Index])))
return
IF(
    _1="Yes"&&MAX('Table'[Group])="A",1,0)

2. Place [Flag]in Filters, set is=1, apply filter.

vyangliumsft_2-1657178489388.png

3. Result:

vyangliumsft_3-1657178489388.png

If I have misunderstood your meaning, please provide your desired output and your pbix without privacy information.

If you need pbix, please click here.

 

Best Regards,

Liu Yang

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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