WISE OWL EXERCISES
SSAS - TABULAR EXERCISES
- Creating a data model (2)
- Excel pivot tables (1)
- PowerView (2)
- Power BI Desktop overview (1)
- Other data sources (1)
- Calculated columns (4)
- Measures (3)
- Changing query context (2)
- The EARLIER Function (1)
- DAX queries (3)
- Date calculations (3)
- Hierarchies (1)
- KPIs (2)
- Perspectives (1)
- Prototyping using PowerPivot (1)
- Security (2)
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.
The answer to the exercise will be included and explained if you attend the course listed below!
- Go into SQL Server Management Studio;
- Open the SQL file you've just unzipped (you can press CTRL + O to do this); then
- 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).
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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:
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.
Save your workbook as Dodgy stats, then close it down.