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 | The CALCULATE function exercise | Use the VALUES function to analyse sales by shopping centre
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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If you haven't already done so, run the SQL script in the above folder (copying and commercial use prohibited) to generate a database called MAM.
Create a data model to include these tables (it doesn't matter what it looks like, nor do you have to hide all of the fields shown from client tools):
The tables needed for this exercise.
Create a pivot table showing the number of transactions by centre and product within Leeds:
Filter your pivot table to show only data for the town Leeds.
Now add another column showing the number of transactions for each cell, but excluding Crown Point figures:
The figures for the first couple of products.
You'll need to use the VALUES function, as you want to amend the query context for shopping centres, not replace it.
Save this as Useful pivot table, then close it down.