WISE OWL EXERCISES
SSAS - TABULAR EXERCISES
SSAS - tabular | Measures exercise | Create a true ratio of units to area for each centre type
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If you haven't already done so, run the SQL script in the above folder in SQL Server Management Studio to generate a database (not for commercial use or copying) called MAM.
Again if you haven't already done so, create a new project called BaseModel, and import the following tables: tblAnimal, tblCentre, tblCentreType, tblPos, tblProduct, tblQuadrant, tblRegion, tblSpecies, tblStore, tblTown, tblTransaction. Delete any measures already created.
Create the following measures:
|Name||What it shows|
|AverageMetres||The average square metres area for the filter context.|
|AverageUnits||The average number of units for the filter context.|
This should allow you to create the following pivot table:
The average square metre area and number of units for each shopping centre type.
Create a measure called FalseAverage which divides the average metres by the average units, and show this in your pivot table:
The true average for any cell should be [the total square metres for that cell's filter context] divided by [the total number of units for that cell's filter context]
Now create a measure called TrueAverage which uses the AVERAGEX function to work out the true average ratio:
Notice that the figures are slightly different in each case.
The Shopping Centre row is returning an error because the Market Quay centre has 0 units (at least, according to the MAM database), so we're getting a divide-by-zero error. To get round this, amend your true average to omit any centres where the number of units equals 0 to get:
The final figures: retail parks have much larger average unit sizes than factory outlets.
If you want to keep a copy of what you've done, use DAX Editor to create a copy of your measures with extension .dax called Dodgy stats, and save your workbook with the same file name.