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Power BI | Normalising tables exercise | Loading book sales data, tidying it up and normalising the table
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.
| Software ==> | Power BI (111 exercises) |
| Version ==> | Latest update |
| Topic ==> | Normalising tables (2 exercises) |
| Level ==> | Harder than average |
| Subject ==> | Power BI training |
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Load the workbook in the above folder - or alternatively get the latest data from this website, although obviously the structure may have changed:
Tidy up the data in Power Query and normalise the results to get this relationship structure for your data model when you load the data back into Power BI Desktop:
You can assume that the imprint names are unique (so no two publishers share the same imprint name).
Use this to show a list of the 100 books (check you still do have 100, and haven't lost any in your merge joins):
The first few of the 100 bestselling books of the last 30 or so years in the UK.
When (if?) you get this working, save this file as Hungry Caterpillar, then close it down.