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Hi There ;
I need your support to create a column , let me explain what i need ;
I have two table , "Table A " and "Table B" named ,
Table A is as below , it has date column and number column , under number column there are numbers as you see
And Table B is as below , it has date column too , but there are columns after that which are named with numbers , and under this number named columns there are values.
I need that , system will make lookupvalue and will take value from Table B to Table A like that ; system will check on Table A date column , and will check on Table B date colum too if there is same date , then system will check on Table A number named column , and then will take this number and will check Table B column names , which one is this number , and after that will put under this number value to Table A
an example will be more easy to understand maybe 🙂 ..... on Table A first line , date is "1.11.2013" and near it under "number " column value is " 3" , now we will check on Table B date coulmn, when , we can see in this dataset first line date is "1.11.2023" too , then for second reference our value from Table A was "3" , now for the same line we will check column names and find "3" , Where column "3" meets the date column value is "125" , so this value will come to Table A as a new column as below excample like a calculated column.
Thanks for your kind supports
Solved! Go to Solution.
you can select the date column in table B and unpivot other columns
then you can merge table in PQ
press ctrl when select columns, you can see numbers besides the column name. That means the date and number column both need to be matched.
then you expand the column
or you can use DAX to create a column
Proud to be a Super User!
you can select the date column in table B and unpivot other columns
then you can merge table in PQ
press ctrl when select columns, you can see numbers besides the column name. That means the date and number column both need to be matched.
then you expand the column
or you can use DAX to create a column
Proud to be a Super User!
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