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


Composition can be defined as looking at a particular measure compared to the whole.

For example, in a "Sales by Region" chart, the sales for each singular region would be a discrete value, while the total sales across all countries would be the "Whole".

Total sales can be divided into "Relative shares" for each region. Having information on "Relative Sales Percentages," as compared to total sales, has a greater impact rather than viewing just the plain sales figures. Eureka moments are much more likely when people use a tool to answer their own questions, which is a core belief behind the design of Qlik Sense.

As with everything else, data composition can be visualized in multiple ways. Understanding what you are trying to achieve will eventually dictate the best choice of visualization.

For example, depending on what matters, each of the following points will favor a different form of visualization:

  • Relative differences
  • Relative and absolute differences
  • Share of the total
  • Accumulation...