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 (4)
- Charts (10)
- Other types of visualisation (1)
- Overview of maps (6)
- 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)
- Power BI mobile (1)
- Power BI Templates (1)
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Power BI | Filtering data exercise | Import sightings of whales, and create a slicer and 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!
|Software ==>||Power BI (92 exercises)|
|Version ==>||Latest update|
|Topic ==>||Filtering data (9 exercises)|
|Level ==>||Average difficulty|
|Classroom ==>||Introduction to Power BI / Fast track Power BI and DAX / Fast track Power BI|
|Online ==>||Introduction to Power BI / Fast track Power BI and DAX / Fast track Power BI|
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Create a new Power BI Desktop file, and load into it sightings of whales and porpoises from the Whale and Dolphin Trust. You can use the link on this page.
if you haven't got an Internet connection, or want to ensure you see exactly the results in this exercise, load data from the CSV file in the above folder instead.
Create a slicer based on the data allowing you to choose the species sighted:
This slicer has horizontal orientation (although you can probably see that yourself).
Now add a chart comparing sightings by month, but restrict this by choosing the slicer species shown:
Apply a filter to your visualisation so that it omits any sightings by people called Jan.
Save this workbook as Sense of porpoise, then close down the Power BI instance containing it.