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
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 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.