EXERCISE TOPIC▼
- Access exercises (91)
- C# exercises (79)
- Excel exercises (278)
- Power Apps exercises (13)
- Power Automate exercises (18)
- Power BI exercises (139)
- Python exercises (28)
- Report Builder exercises (141)
- SQL exercises (198)
- SSAS exercises (51)
- SSIS exercises (46)
- SSRS exercises (99)
- VBA exercises (85)
- Visual Basic exercises (46)
POWER BI EXERCISES▼
POWER BI EXERCISES▼
- Basic reports (10)
- Data sources (2)
- Query editor (8)
- Filtering data (9)
- Drill-through (1)
- Charts (10)
- Matrices (1)
- Basic maps (6)
- Calculated columns (8)
- Roles and security (1)
- Drill-through and bookmarks (3)
- Report themes (2)
- Power BI mobile (1)
- Advanced tables (3)
- Conditional formatting (5)
- Analytics (2)
- Decomposition tree (1)
- Other visuals (1)
- Tooltips (2)
- Bookmarks (4)
- Quick measures (3)
- Dynamic display (1)
- Custom visuals (3)
- Advanced data sources (4)
- Basic parameters (1)
- Column transforms (2)
- Combining queries (2)
- Manipulation transforms (1)
- Normalising tables (2)
- Simple parameters (1)
- Dropdown parameters (1)
- Stored procedures (1)
- Dynamic connections (2)
- Custom functions (3)
- APIs (3)
- Power BI Templates (1)
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.
| Software ==> | Power BI (111 exercises) |
| Version ==> | Latest update |
| Topic ==> | Query editor (8 exercises) |
| Level ==> | Relatively easy |
| Subject ==> | Power BI training |
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.
I like the suggested names of the reports haha :)