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 | Using other data sources exercise | Connect to and Link Excel and SQL Server Tables
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The aim of this exercise is to produce the following pivot table:
Staff are categorised by age band and sales status.
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 an Excel workbook, and connect to the tblStaff table in the MAM database. Within this table, create a new column:
The new column gives the year corresponding to any date of birth.
Now create another new workbook, and in this put two new worksheets:
|Assigning sales terms||Categorising ages|
You can use any ratings you like for ages, but to get the figures shown above you'll need to use Spring chicken for 1984 onwards, Not so springy for 1953 to 1983 and Just plain old for 1900 to 1952.
Save this workbook as Staff tables, and close it down.
In your original workbook, connect to these two Excel tables in PowerPivot, and create relationships as shown below:
For each staff member you can get the type and the age rating.
Now create the pivot table shown at the start of this exercise, then save this workbook as Staff breakdown and close it down.