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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.
This will generate the database that you'll need to use in order to do this exercise (note that the database and script are only to be used for exercises published on this website, and may not be reused or distributed in any form without the prior written permission of Wise Owl).
The aim of this exercise is to categorise staff by age using the following bands:
|Year of birth||Band|
To start this slightly subjective categorisation, create a new project called Age categories and import the Purchase and wo_Staff tables.
You'll need to create a relationship manually between the purchase and staff tables at this point.
Create 3 new calculated columns in the staff table:
The staff table, with 3 new columns giving the name of each member of staff, their birth year and a verdict on their age.
Here are some notes on how to create these columns:
|StaffName||Use the & symbol to join together the first name, a space and the last name.|
|YOB||Use the YEAR function to get the year for each member of staff, given their date of birth.|
|Verdict||Either use a nested IF function or (better) use SWITCH. You can refer back to the table at the start of this exercise to get the thresholds to use.|
Now use these columns to show the number of transactions for each age category:
So few purchases from members of staff at their peak ...
Save this workbook as But peak agers are best, then close it down.
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