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Software ==> | SQL (203 exercises) |
Topic ==> | Calculations (18 exercises) |
Level ==> | Relatively easy |
Subject ==> | SQL training |
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.
This will generate the database that you'll need to use in order to do this exercise (remember to refresh your list of databases to see it!). Note that any files provided are only to be used for exercises published on this website, and may not be reused or distributed in any form without the prior written permission of Wise Owl.
If you don't have a copy of the Music_01 database, follow the instructions at the following link to create it: www.wiseowl.co.uk/sql/exercises/standard/using-sql-server/5257/
Write a query to select the Title and US_Billboard_200_peak columns from the Album table, sorting the results alphabetically by Title.
Add a calculated column using the IIF function which labels the album as a Chart Topper if its peak chart position is 1, or a Chart Flopper for any other position. You can see the syntax of the IIF function below:
IIF( Condition to test, Answer if true, Answer if false)
Run the query to check that your expression works.
Don't forget to give your column an alias.
Perhaps it's unfair to call an album a flop just because it didn't reach the number 1 spot. Modify your calculated column to categorise albums according to the table below:
Peak chart position | Description |
---|---|
Is equal to 1 | Chart Topper |
Is less than or equal to 10 | Top 10 |
Anything else | Chart Flopper |
You can nest one IIF function inside another to do this using the following syntax:
IIF( First condition, Answer if true, IIF( Second condition, Answer if true, Answer if false))
Run the query to check the new descriptions:
It still feels a little harsh.
The RIAA categorises albums based on sales according to the following criteria:
Sales (millions) | Category |
---|---|
10 or more | Diamond |
2 or more | Multi-platinum |
1 or more | Platinum |
0.5 or more | Gold |
Anything else | NA |
Add the US_sales_(m) column to your query then add a calculated column using a CASE expression to categorise albums according to the table shown above. Here's a reminder of the CASE expression syntax:
CASE
WHEN Condition 1 THEN Answer 1
WHEN Condition n THEN Answer n
ELSE Final answer
END
Run your query and check that it returns the correct results.
The final results of your query.
Save the script as Top or the Flops.sql and then close it.
You can find other training resources for the subject of this exercise here:
Kingsmoor House
Railway Street
GLOSSOP
SK13 2AA
Landmark Offices
99 Bishopsgate
LONDON
EC2M 3XD
Holiday Inn
25 Aytoun Street
MANCHESTER
M1 3AE
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