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Software ==> | SSAS - tabular (30 exercises) |
Topic ==> | Changing query context (2 exercises) |
Level ==> | Average difficulty |
Subject ==> | SSAS 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 (note that the database and script 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).
Create a measure which ranks regions according to the count of the number of purchases. The syntax of the RANKX function is shown below:
Only the first two arguments are compulsory.
To start with, create a measure in the purchases table giving the number of purchases:
What this measure should show in your model.
Now create a measure in the Habitat table to rank habitats according to the number of purchases, and use this to create this pivot table:
Grasslands is always the habitat with the most purchases, regardless of centre type, and Urban the one with the fewest purchases.
The lack of variety between shopping centre types might be almost enough to make you suspect that the data was randomly generated, and not genuine.
Save this workbook as Suspiciously similar data, then close it down.
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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