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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 |
| Classroom ==> | Introduction to Power BI / Fast track Power BI |
| Online ==> | Introduction to Power BI / Fast track Power BI |
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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.
The zip file doesn't contain the Excel file so can't create any new calculated columns without it. Kindly add the source file in the zip file. Thanks!