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PedroPascual's avatar
PedroPascual
Helper I
3 years ago
Solved

QA comparicion between Values

Hi Community, hopefuly, you can help me with this formula. i need to do a QA based on values from different columns and tables.   table1 column1 column2 column3   QA value1 value2 ...
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  • Anonymous's avatar
    Anonymous
    3 years ago

    Hi PedroPascual ,

     

    We can create a calculated column.

    QA =
IF (
    AND (
        AND (
            'Table'[Column1] = "House",
            'Table'[Column2] = "cat"
                || 'Table'[Column2] = "dog"
                || 'Table'[Column2] = "rabbit"
                || 'Table'[Column2] = "lion"
        ),
        'Table'[Column3] = "book"
            || 'Table'[Column3] = "pencil"
    ),
    "YES",
    "NO"
)

    Best Regards,

    Neeko Tang

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

Anonymous's avatar
Anonymous
Not applicable
3 years ago

Hi PedroPascual ,

 

According to your description, here are my steps you can follow as a solution.

(1) My test data is the same as yours.

(2) Click "transform data" to enter the power query, add an index column for each table, and merge into one table.

(3)We can create a calculated column.

QA = IF('Table1'[column1]="value1",BLANK(), IF('Table1'[Table2.column2]="car" && 'Table1'[Table3.column3]="dog" && 'Table1'[Table4.column4]="pencil" && 'Table1'[Table5.Column5]="apple","YES","NO"))

(4) Then the result is as follows.

 

Best Regards,

Neeko Tang

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

PedroPascual's avatar
PedroPascual
Helper I
3 years ago

Anonymous, thanks very much for your reply. your response is correct.
however, I did wrong my proposal.
Let me re-formulate the issue I have, a little bit more clear.
the conditional value shall be based in at least 3 conditional values:
the value "house" from Column1 must contain in column2 "cat" and/or "dog" and/or "rabbit" and/or "lion" and in column3 "book" and/or "pencil" otherwise is NO;

Column1Column2Column3QA
HousecatbookYES
HousedogbookYES
Housecat pencilYES
HousedogpencilYES
HouserabbitwindowNO
HouseliondoorNO


and it could be a possibility that a fourth column with another rule will be used.

it is clear??

thanks in advance

  • Anonymous's avatar
    Anonymous
    Not applicable
    3 years ago

    Hi PedroPascual ,

     

    We can create a calculated column.

    QA =
IF (
    AND (
        AND (
            'Table'[Column1] = "House",
            'Table'[Column2] = "cat"
                || 'Table'[Column2] = "dog"
                || 'Table'[Column2] = "rabbit"
                || 'Table'[Column2] = "lion"
        ),
        'Table'[Column3] = "book"
            || 'Table'[Column3] = "pencil"
    ),
    "YES",
    "NO"
)

    Best Regards,

    Neeko Tang

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

    • PedroPascual's avatar
      PedroPascual
      Helper I
      3 years ago

      Anonymous Wonderful. it is working properly. thanks.

      last question, what about if I have information in different tables??
      does not work.

      QA =
      IF (
      AND (
      AND (
      'Table1'[Column1] = "House",
      'Table2'[Column2] = "cat"
      || 'Table2'[Column2] = "dog"
      || 'Table2'[Column2] = "rabbit"
      || 'Table2'[Column2] = "lion"
      ),
      'Table1'[Column3] = "book"
      || 'Table1'[Column3] = "pencil"
      ),
      "YES",
      "NO"
      )

      • Anonymous's avatar
        Anonymous
        Not applicable
        3 years ago

        Hi PedroPascual ,

         

        If he is in different tables, refer to Message 4, click on "Transform Data" to access the Power Query, add index columns for each table, and merge them into one table.

         

        Best Regards,

        Neeko Tang

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