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 CALCULATE to divide transactions into expensive and cheap
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 new workbook, and in this a data model similar to this one:
As long as you have these two tables, the details aren't important.
Create a pivot table showing total quantity sold per product:
So far, so easy!
Now create and display two calculated fields, using the CALCULATE function:
- One which shows the total quantity sold for goods where the price is £10 or more (call this Expensive); and
- One which shows the total quantity sold for goods where the price is less than £10 (call this one Cheap).
The final pivot table should look like this:
For each product, it would be worrying if the cheap and expensive columns didn't sum to the total!
Save this workbook as Partitioning the set, and close it down.