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Qlik Sense Cookbook

You're reading from   Qlik Sense Cookbook Over 80 recipes on data analytics to solve business intelligence challenges

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788997058
Length 334 pages
Edition 2nd Edition
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Authors (3):
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Philip Hand Philip Hand
Author Profile Icon Philip Hand
Philip Hand
Neeraj Kharpate Neeraj Kharpate
Author Profile Icon Neeraj Kharpate
Neeraj Kharpate
Pablo Labbe Pablo Labbe
Author Profile Icon Pablo Labbe
Pablo Labbe
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with the Data FREE CHAPTER 2. Visualizations 3. Scripting 4. Managing Apps and the User Interface 5. Useful Functions 6. Set Analysis 7. Using Extensions in Qlik Sense 8. Advanced Aggregation with AGGR 9. Tips and Tricks 10. Other Books You May Enjoy

Using nested aggregations


We know how to use several aggregation functions such as sum, max, min, and avg. When used in a measure of a chart or table, they aggregate values over the dimension stated in that chart or table.

Sometimes, you need to create a second aggregation based on the result of the first. An example could be the value and the name of the country with the most customers. This can be done using Aggr, combined with the Max() and Firstsortedvalue() functions.

Getting ready

Create a new Qlik Sense application, and load the following script that gives information on sales per country:

LOAD * INLINE [ 
Region, Country, No of Customers, Sales 
Americas, Uruguay, 200, 56000 
Europe, France, 900, 252000 
Americas, Brazil, 1500, 330000 
Europe, Croatia, 500, 160000 
Americas, Mexico, 1800, 122000 
Americas, Argentina, 1200, 360000 
Europe, Portugal, 1100, 302500 
Europe, Spain, 800, 250000 
Europe, Denmark, 1500, 435000 
Europe, Belgium, 700, 154000 
Asia, China, 2000, 370000 
Asia, Japan...
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