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
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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.