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 FILTER to show total quantity for quadrupeds separately
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).
Create the following data model:
You'll need to import (deep breath) the Animal, Centre, Pos, Product, Quadrant, Region, Species, Store, Town and Transaction tables.
Use this to create the following basic pivot table:
This pivot tables shows total quantities sold by quadrant and species.
Add a measure which (you think) should give the total quantity sold for four-legged animals only:
You should find this gives an error:
The start of the error message.
The problem is that you can't filter by one dimension but sum a column in another. To get round this, use the RELATED function to include the number of legs each animal has within the transactions table:
This is what your new column should look like.
Amend your measure and add another one to report on total quantity sold by quadruped and non-quadruped:
The figures to watch are those for reptiles, since this species includes snakes (0 legs) and crocodiles (4 legs).
When you've got this working, save the workbook as Four legs good (you may well need it again soon!), and close it down.