WISE OWL EXERCISES
POWER BI EXERCISES
- PowerPivot data models (7)
- Pivot tables using PowerPivot (2)
- Using Excel tables (3)
- Using other data sources (1)
- Transforming data (Power Query) (7)
- Calculated columns (7)
- Measures (2)
- The CALCULATE function (15)
- More advanced DAX functions (5)
- Calendars (1)
- Date functions (10)
- Hierarchies (2)
- KPIs (5)
- Power View (4)
- Power BI Desktop overview (3)
- Power BI Desktop maps (1)
PowerPivot | Power BI Desktop overview exercise | Create a matrix with conditional formatting, and publish it
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 on the relevant Wise Owl classroom training course (sadly for the moment only in the UK).
- Go into SQL Server Management Studio;
- Open the SQL file you've just unzipped (you can press CTRL + O to do this); then
- Execute this script.
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).
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 file in Power BI Desktop, and import the following tables:
These are the tables that you'll need for this exercise.
In Query Editor, add the following new column:
Show the product name in the style of (for example) Donald the Human.
You can use the & character to concatenate (join) the different bits of text to create your new column. Note that you could equally well have create this column this using a calculated column.
Create a matrix showing the number of purchases for each environment and centre type:
Matrices in Power BI Desktop are similar to matrices in Reporting Services.
Apply conditional formatting to your matrix:
Right-click in the data field well to apply conditional formatting.
It should now be obvious where the most sales occurred:
This heat map shows Land sales in Shopping Centre venues were the most popular by far.
On a separate page of the same report, create a tree diagram showing the number of purchases by product:
Use the new column that you created earlier in this exercise.
Go back to Power BI Desktop and save this report as Tree Tops, then close it down.