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 | More advanced DAX functions exercise | Use the VALUES function to divide regional data
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If you haven't already done so, run the SQL script in the above folder in SQL Server Management Studio to generate a database (not for commercial use or copying) called MAM.
Again if you haven't already done so, create a new workbook and PowerPivot data model, and import the following tables: tblAnimal, tblCentre, tblPos, tblProduct, tblQuadrant, tblRegion, tblSpecies, tblStore, tblTown, tblTransaction.
Create two calculated fields:
|Calc. Field||What it should show|
|NoSoutherners||The average transaction price for the query context, but excluding the South quadrant.|
|OnlySoutherners||The same thing, but this time only including the South quadrant.|
You'll need to use the VALUES function to ensure that you change the query context, rather than replacing it.
Use these calculated fields to to display a pivot table like this:
This pivot table divides spending into the South quadrant and all other regions.
Save this workbook as Regional Apartheid, then close it down.