Book Image

Qlik Sense Cookbook - Second Edition

By : Pablo Labbe, Philip Hand, Neeraj Kharpate
Book Image

Qlik Sense Cookbook - Second Edition

By: Pablo Labbe, Philip Hand, Neeraj Kharpate

Overview of this book

Qlik Sense allows you to explore simple and complex data to reveal hidden insight and data relationships that help you make quality decisions for overall productivity. An expert Qlik Sense user can use its features for business intelligence in an enterprise environment effectively. Qlik Sense Cookbook is an excellent guide for all aspiring Qlik Sense developers and will empower you to create featured desktop applications to obtain daily insights at work. This book takes you through the basics and advanced functions of Qlik Sense February 2018 release. You’ll start with a quick refresher on obtaining data from data files and databases, and move on to some more refined features including visualization, and scripting, as well as managing apps and user interfaces. You will then understand how to work with advanced functions like set analysis and set expressions. As you make your way through this book, you will uncover newly added features in Qlik Sense such as new visualizations, label expressions and colors for dimension and measures. By the end of this book, you will have explored various visualization extensions to create your own interactive dashboard with the required tips and tricks. This will help you overcome challenging situations while developing your applications in Qlik Sense.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Packt Upsell

Using the element functions P() and E() in Set Analysis

So far, we have seen how sets can be used to manipulate the result of an expression. To take the concept a bit further, we will now see how to use the P() and E() functions inside a Set Analysis expression. In the previous Set Analysis expressions, all field values were explicitly defined in the sets or variables or, in certain cases, through defined searches. The P() and E() functions make use of nested set definitions.


A P() function returns a set of all possible values, while an E() function returns a set of all excluded values.

Getting ready

For the purpose of this recipe, we make use of customer sales data as defined in the following inline data load. Load the following script in the Qlik Sense Data load editor:

DEF,Apr,200,25000,ABC ...