WISE OWL EXERCISES
POWER BI EXERCISES
- PowerPivot data models (7)
- Pivot tables using PowerPivot (2)
- Using Excel tables (3)
- Using other data sources (1)
- Transforming data (Power Query) (7)
- Calculated columns (7)
- Measures (2)
- The CALCULATE function (15)
- More advanced DAX functions (5)
- Calendars (1)
- Date functions (10)
- Hierarchies (2)
- KPIs (5)
- Power View (4)
- Power BI Desktop overview (3)
- Power BI Desktop maps (1)
PowerPivot | Hierarchies exercise | Create hierarchies on shopping centres and years
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.
You can learn how to do this exercise on the relevant Wise Owl classroom training course (sadly for the moment only in the UK).
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To start, if you haven't already done so run the script in the above folder to generate the MAM database (not for commercial use or copying).
Import the Transaction, Pos, Calendar, Store, Centre and CentreType tables and make sure relationships are set up between them.
The aim of this exercise is to create the following pivot table using two hierarchies:
The table shows the average price by shopping centre type and year, but you can expand each of these to show more details for their respective hierarchies.
The first thing you'll need to do is to make sure that the Store table contains the centre and centre type too (you can use the RELATED function to do this). The reason for this is that you can't mix columns from different tables in a hierarchy.
Now create two hierachies which will look like this in Excel:
The two hierarchies you'll need to create.
Create a measure to show the average price, and use this to display the pivot table required:
|The store hierarchy expanded||The time hierarchy|
Save this workbook as Hierarchies, and close it down.