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 | Changing query context exercise | Rank habitats by number of sales using the RANKX function
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You can learn how to do this exercise 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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Create a measure which ranks regions according to the count of the number of purchases. The syntax of the RANKX function is shown below:
Only the first two arguments are compulsory.
To start with, create a measure in the purchases table giving the number of purchases:
What this measure should show in your model.
Now create a measure in the Habitat table to rank habitats according to the number of purchases, and use this to create this pivot table:
Grasslands is always the habitat with the most purchases, regardless of centre type, and Urban the one with the fewest purchases.
The lack of variety between shopping centre types might be almost enough to make you suspect that the data was randomly generated, and not genuine.
Save this workbook as Suspiciously similar data, then close it down.