POWER BI EXERCISES▼
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Power BI | Calculated columns exercise | Use calculated columns to create a data model of house prices
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Create a new Power BI report, and load both worksheets from the house prices workbook in the above folder:
Initially the tables aren't joined together. The data show house price sales for the UK for 2015-16, if you're interested!
Use Query Editor to use the first Property types row as a header row, then create a relationship to get something like this:
Better - now we've got something to work with.
Now hide tables and columns and create lots of calculated columns to get your field list looking like this:
See the notes below for what each of these columns should display.
This should enable you to show the following matrix:
Again, see the notes below for what your fields should display.
Here's what the fields should show:
|Field||What is should show|
|Completion year||The year each property sale was completed.|
|Desirability||If the property is either a new build or freehold, this should show Desirable; otherwise it should show Not Desirable.|
|Sales band||For properties costing up to £200k, this should show Affordable; for properties between £200k and £500k this should show Not too bad; for properties between £500k and £1,000k this should show Expensive; otherwise this should show Millionaire mansion.|
|Type of property||This should show the description from the Property type table.|
The hardest bit about this is probably getting the sales bands to appear in the correct order in the left-hand column of the matrix.
Save this report as Neat work, then close it down.