Powerbi Why does measure produce different result based on equivalent filters
I have a measure that counts the rows of a table ignoring the filtering on the variable post-secondary enrollment:
Powerbi Why does measure produce different result based on equivalent filters
I have a measure that counts the rows of a table ignoring the filtering on the variable post-secondary enrollment:
Powerbi Why does measure produce different result based on equivalent filters
I have a measure that counts the rows of a table ignoring the filtering on the variable post-secondary enrollment:
Powerbi Why does measure produce different result based on equivalent filters
I have a measure that counts the rows of a table ignoring the filtering on the variable post-secondary enrollment:
Powerbi Why does measure produce different result based on equivalent filters
I have a measure that counts the rows of a table ignoring the filtering on the variable post-secondary enrollment:
Powerbi Why does measure produce different result based on equivalent filters
I have a measure that counts the rows of a table ignoring the filtering on the variable post-secondary enrollment:
Displaying latest date until a new data upload happens
Hello everyone i have a table that contains text, the table name is “top_issue”
Subtract multiple values in same column based on DATE and filter and get final values
I want to get final unshipping quantity and Cumulative quantity (L & M column)
but I can’t find perfect solution to solve this problem..
enter image description here
dax problem: subtract multiple values in same column based on DATE and filter and get final values
I want to get final unshipping quantity and Cumulative quantity (L & M column)
but I can’t find perfect solution to solve this problem..
enter image description here
dax problem: subtract multiple values in same column based on DATE and filter and get final values
I want to get final unshipping quantity and Cumulative quantity (L & M column)
but I can’t find perfect solution to solve this problem..
enter image description here