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Software ==>	Power BI (160 exercises)
Topic ==>	Basic reports (13 exercises)
Level ==>	Relatively easy
Subject ==>	Power BI training

Create a report listing Game of Thrones episodes, importing two tables

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.

Before you can do this exercise, you'll need to download and unzip this file .

Create a new Power BI report, and load into it data from both worksheets in the workbook in the folder above:

You should see this in Model View.

Hide and rename columns to get a simpler data model:

Hide some columns, and rename the U.S. viewers (millions) column to get a tidier data model, as shown here.

Create a table to show average viewers by season:

Initially your table should show these columns in the field well.

Delete the extra date hierarchy fields added by Power BI to show the average viewers by season/year:

A table showing the average number of viewers of Games of Thrones episodes by season and year when first aired.

Format your table so that it looks prettier (it absolutely doesn't have to look like the example below!):

These are suggestions only! Someone has made changes to parts of the Title, Total and Column headers format sections for the table.

Save this report as GOT it.pbix, then close it down.

You can unzip this file to see the answers to this exercise, although please remember this is for your personal use only.

You can find other training resources for the subject of this exercise here:

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From:	MA@123
When:	12 Jun 21 at 11:48

my average million viewers is coming as 5.95 million. this value repeats for every season. how can i correct this to make it similar to the one in the above table.

From:	Andrew G
When:	13 Jun 21 at 07:14

Hello! It sounds as though the tables in your data model aren't related to each other. Try creating a relationship between the First aired and Original air date columns. I hope that helps!

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