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Hi there, I am relatively new to Power BI ( I am using Version: 2.57.5068.721 64-bit (April 2018).
I want to show the variance between two averages for gender by year and group - my data table is below & my desired output.
I've tried quick measure, measures & new columns but (so far) I've failed. Can anyone help?
Thanks in advance.
Paul
Solved! Go to Solution.
Step 1: Create a Measure that simply creates an average, ignoring Gender and Timeframes. This could look something like:
Average Measure = AVERAGE('YourTable'[Score])
Step 2: Create a measure that cares about Gender:
Male Average = CALCULATE( [Average Measure], 'YourTable'[Gender] = "Male" )
The female version should be easy to work out.
Now you can place these gender meeasures on a visual that has the Year & group as the context.
Step 1: Create a Measure that simply creates an average, ignoring Gender and Timeframes. This could look something like:
Average Measure = AVERAGE('YourTable'[Score])
Step 2: Create a measure that cares about Gender:
Male Average = CALCULATE( [Average Measure], 'YourTable'[Gender] = "Male" )
The female version should be easy to work out.
Now you can place these gender meeasures on a visual that has the Year & group as the context.
Ross, a big thanks for your post & direction. I created a fourth measure to deduct the individual gender measures from each other & it worked a treat.
I have a question though. How does the measure handle page filters? My data is split by seasons & I have selected the summer seasons only on this page. Is the measure smart enough to pick that up? Do you know?
Thanks
Paul
Measures are always context sensitive, unless you explictly write it to ignore the context.
So when your measure was used in a table or matrix, the context is all of the column and row context, as well as any filters on the visual, page and report.
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