WISE OWL EXERCISES
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Power BI | Charts exercise | Create a pretty column chart, and link it to a pie chart
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.
You can learn how to do this exercise if you attend one of more of the courses listed below!
You need a minimum screen resolution of about 700 pixels width to see our exercises. This is because they contain diagrams and tables which would not be viewable easily on a mobile phone or small laptop. Please use a larger tablet, notebook or desktop computer, or change your screen resolution settings.
Create a new Power BI Desktop file, and load the table of million-selling singles from The Guardian's website. You can get the link you need from this webpage.
Do a bit of renaming in the field well to make the table and field names easier to read. Note that if you haven't got an Internet connection, you can load a CSV version of the file from the folder above.
The aim of this exercise is to create two charts, and get choices you make in one to influence the other - instructions follow, so please read on!
The two charts we'll (eventually) create.
Start by creating the following chart, or as close to it as you can get:
Colour saturation has been set to colour charts according to the volume of sales, and data labels applied inside each column bar. The chart is sorted by volume of sales (you could scroll right to see the less successful artists).
Now create a pie chart which shows the volume of sales by year (it will look messy, because there are too many data points):
Things will look better in a moment ...
The easiest way to format the second chart is just to paste the format settings from the first.
Change your drill-down settings so that when you click on an artist in the column chart, it filters the pie chart:
|Column chart||Pie chart|
Save this file as Linked charts, then exit this instance of Power BI Desktop.