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DAX | Basic measures exercise | Create a couple of measures to show average Brexit votes
This exercise is provided to allow potential course delegates to choose the correct Wise Owl Microsoft training course, and may not be reproduced in whole or in part in any format without the prior written consent of Wise Owl.
Software ==> | DAX (28 exercises) |
Version ==> | |
Topic ==> | Basic measures (3 exercises) |
Level ==> | Relatively easy |
Subject ==> | Power BI training |
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Create a new Power BI file, and load the Excel workbook from the above folder; you can go to the original Electoral Commission source data from a link here or at http://bit.ly/2IPA9JS.
Create a measure to show for any filter context the total remain vote divided by the total electorate. Here's what this should show:

The first few rows of a table showing our measure by area (note that we've formatted it as a percentage).
The measure should be a simple calculation of the form SUM(X) / SUM(Y).
Too easy? Create another measure to show the total value for any filter context of the difference between the leave and remain votes, to get something like this:

Although it was only the 5th highest in the remain votes table by proportion of electorate, City of Edinburgh contributed by far the most votes to the remain cause.
Use the SUMX function to sum the expression X - Y over the Voting table, where X = the number of leave votes and Y = the number of remain votes.
Save this as Water under the bridge, then close down the Power BI instance you're using.
This is not the correct answer file for the question. Instead of the 2nd table, it shows a map of who voted leave and remain.
Thank you for the exercises!
Total Remain = sum(Voting[Remain])
Total Leave = SUM(Voting[Leave])
Total Electorate = sum(Voting[Electorate])
Avg = divide([Total Remain],[Total Electorate],0)
Diff = [Total Leave]-[Total Remain]
I'm very new at DAX, this are my solutions:
Measure 1 = SUM(Voting[Remain])/SUM(Voting[Electorate])
Measure2 = CALCULATE( (SUM(Voting[Leave])-(SUM(Voting[Remain]))))*0.001
Does anyone have the real ones? Or just a different way?