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Software ==> | PowerPivot (72 exercises) |
Topic ==> | Using other data sources (1 exercise) |
Level ==> | Harder than average |
Subject ==> | Power BI training |
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.
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.
Kingsmoor House
Railway Street
GLOSSOP
SK13 2AA
Landmark Offices
99 Bishopsgate
LONDON
EC2M 3XD
Holiday Inn
25 Aytoun Street
MANCHESTER
M1 3AE
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