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 EARLIER function to group sales into category bands
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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: tblCentre, tblCentreType, tblPos, tblStore, tblTransaction.
Open the Word document in the above folder, and paste the data into your model to create the following new table:
Call your new table Categories.
Resist the temptation, however, to link this to any other table - it should stand alone!
Now create a calculated column in the Centre table using the EARLIER function to give a size band for each centre. Here's what this should look like:
The column should show for each centre the name of the category where the centre's number of units is less than the upper threshold for the cateogry, but also greater than or equal to the lower.
This must be a calculated column, not a calculated field!
You should now be able to use this calculated column to create the following pivot table:
The biggest sales take place in So-so sized shopping centres.
Save your workbook as Rename that function, and close it down.