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
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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.