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 (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 | Calculated columns exercise | Calculate Oscar and financial figures for films
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 ==> | Calculated columns (7 exercises) |
| Level ==> | Relatively easy |
| Courses ==> | Introduction to Power BI / Fast track Power BI/DAX |
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.
Open the Power BI report in the above folder. It currently shows two charts:
The charts compare the average Oscars won and the average box-office takings for films by genre.
In the Films table, add two calculated columns:
| Column name | What it should show |
|---|---|
| Disappointment | The difference between the number of Oscars a film was nominated for and the number it actually won. |
| Profit | The difference between the box office takings and the budget for a film (divided by a million, so you can show the result in millions of dollars rather than in dollars). |
Note that some films - particularly the ones early on in the table - may not display figures for every row, since either the budget or the box office takings values may be blank.
Change your two charts to show your newly calculated statistics instead:
The new charts should show that Biographical films have the highest average disappointment factor, but Awful ones have the highest average profitability.
Save this report as Titanic struggle, then close it down.