SSAS - tabular | Measures exercise | Create a true ratio of units to area for each centre type

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 ==> SSAS - tabular  (30 exercises)
Version ==> SSAS 2012 and later
Topic ==> Measures  (3 exercises)
Level ==> Harder than average
Subject ==> SSAS training
Before you can do this exercise, you'll need to download and unzip this file (if you have any problems doing this, click here for help). Once you've done this:
  1. Go into SQL Server Management Studio;
  2. Open the SQL file you've just unzipped (you can press CTRL + O to do this); then
  3. Execute this script.

This will generate the database that you'll need to use in order to do this exercise (note that the database and script are only to be used for exercises published on this website, and may not be reused or distributed in any form without the prior written permission of Wise Owl).

You need a minimum screen resolution of about 700 pixels width to see our exercises. This is because they contain diagrams and tables which would not be viewable easily on a mobile phone or small laptop. Please use a larger tablet, notebook or desktop computer, or change your screen resolution settings.

If you haven't already done so, create a new project called BaseModel, and import the following tables: tblCentre, tblCentreType, tblEnvironment, tblFamily, tblHabitat, tblProduct, tblPurchase, tblRegion and tblTown

In the tblCentre table, 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:

Average metres and units

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:

False average

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:

True average

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:

True average with error corrected

The final figures: retail parks have much larger average unit sizes than factory outlets.

Save your workbook as Dodgy stats, then close it down.

You can unzip this file to see the answers to this exercise, although please remember this is for your personal use only.
This page has 0 threads Add post