Forum Discussion
Calculated column vs measure
Hi
Referring to the below table, the column [Predicted Cost] is based upon the following measure:
Predicted Cost = SUM('Programme Resource Planning'[Hours]) * SUM('Programme Resource Planning'[Cost]) * 2.11
The column [Column] is based upon the following calculated column:
Column = 'Programme Resource Planning'[Hours] * 'Programme Resource Planning'[Cost] * 2.11
Why am I getting different values?
Predicted Cost = SUM('Programme Resource Planning'[Hours]) * SUM('Programme Resource Planning'[Cost]) * 2.11
Since the above only works 1 line at a time, you need to use a SUMX.
Predicted Cost = SUMX('Programme Resource Planning', CALCULATE('Programme Resource Planning'[Hours] * 'Programme Resource Planning'[Cost]) * 2.11)
To answer your question of "Why am I getting different values?". The answer is in the way Dax calcuated your measure. For the respective week of year, it first SUMs up all the 'Hours', then summed up all the 'Cost' values and then multiplied the two numbers together, then muliplied by 2.11.
You can't aggregate unit of measure and cost, then multiply. You have to multiply hours * cost on a line item basis, then aggregate up all the results.
Thanks. I realised i needed to use the iterator SUMX in my measure. This gave the correct solution.
Cost Forecast = SUMX( 'Programme Resource Planning', 'Programme Resource Planning'[Hours] * 'Programme Resource Planning'[Cost]) * 2.11
5 Replies
Sorry, I probably should have asked "how do I turn the calculated column into a measure"
when you drop new measure down you choose between column or measure. in order to change from column to measure you need to paste the calculation into a new measure, in a measure you need to apply aggregate functions as in your first calulation below.
why its throwing an error is very difficult to know without seeing your base data
Predicted Cost = SUM('Programme Resource Planning'[Hours]) * SUM('Programme Resource Planning'[Cost]) * 2.11
Since the above only works 1 line at a time, you need to use a SUMX.
Predicted Cost = SUMX('Programme Resource Planning', CALCULATE('Programme Resource Planning'[Hours] * 'Programme Resource Planning'[Cost]) * 2.11)
Thanks. I realised i needed to use the iterator SUMX in my measure. This gave the correct solution.
Cost Forecast = SUMX( 'Programme Resource Planning', 'Programme Resource Planning'[Hours] * 'Programme Resource Planning'[Cost]) * 2.11
To answer your question of "Why am I getting different values?". The answer is in the way Dax calcuated your measure. For the respective week of year, it first SUMs up all the 'Hours', then summed up all the 'Cost' values and then multiplied the two numbers together, then muliplied by 2.11.
You can't aggregate unit of measure and cost, then multiply. You have to multiply hours * cost on a line item basis, then aggregate up all the results.
