WISE OWL EXERCISES
POWER BI EXERCISES
POWER BI EXERCISES
- Basic reports (10)
- Data sources (2)
- Query editor (8)
- Multiple tables (1)
- Filtering data (9)
- Drill-through filtering (1)
- Bookmarks (3)
- Charts (10)
- Other types of visualisation (1)
- Overview of maps (5)
- Calculated columns (7)
- Introduction to DAX (3)
- Creating measures in DAX (1)
- Calendars (2)
- Date functions (2)
- Roles and security (1)
- Advanced data models (4)
- Drill-through and bookmarks (3)
- Custom visuals (3)
- Parameters (5)
- Quick measures (3)
- Report themes (2)
- BI mobile (1)
- Power BI Templates (1)
Power BI | Other types of visualisation exercise | Create a stacked column chart and use drill-down on 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.
The answer to the exercise will be included and explained if you attend the course listed below!
| Software ==> | Power BI (88 exercises) |
| Version ==> | Latest update |
| Topic ==> | Other types of visualisation (1 exercise) |
| Level ==> | Average difficulty |
| Course ==> | Introduction to Power BI |
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Create a new Power BI Desktop file.
If you haven't already done so, run the SQL script in the above folder to create a database of Make-a-Mammal data. From this load the following tables:
Regular readers might experience a bit of deja vu at this point ...
Create a chart showing sales by region and family:
A chart showing total quantity sold by region, for each family. Feel free to download your own image for the background!
Now set drill-down so that when you click on a particular data point (such as the one shown in the previous diagram), you see sales data for that region's towns, and then for that particular town's shopping centres:
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| Drill-down to town level | Drill-down to centre level |
Create a gauge, KPI and card to show the quantity of sales:
Set the trend axis for the KPI to be the purchase date year.
Remove drill-down, and change your settings so that clicking on a data point filters the gauge and KPI, but leaves the card unaffected:
Clicking on the bar for South-East Reptile sales updates the gauge and card, but has no effect on the centre visualisation (the card).
Save this as Beginning to love PBD, then close down this instance of Power BI Desktop.