EXERCISE TOPIC▼
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)
- Tooltips (2)
Power BI | Query editor exercise | Import list of the richest people using Query Editor
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 ==> | Query editor (8 exercises) |
Level ==> | Relatively easy |
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 |
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 report, and load in the data in the above workbook:

The raw data - your task is to massage it into something more presentable!
Use Query Editor to make this data look better:

Some columns have been renamed, while each person's wealth (in billions of dollars) has been extracted - see below for how.
If you need hints on extracting the wealth of each person in billions, one way to proceed is to follow these steps:
Step | What to do |
---|---|
1 | Replace the word billion with an empty string. |
2 | Replace the $ symbol with an empty string. |
3 | Convert the resulting column to a whole number. |
Bring the data back into your Power BI report, and use it to create a simple chart:

Create a simple chart just to prove that the billions really are being treated as numbers.
Save this report as But are they happy, then close it down.