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
Contributors
Preface
Index

Creating a multi-measure expression in Set Analysis


Sometimes, you may have groups of expressions you want to view that either don't need to be viewed at once, or you don't have the room to display them all. In these cases, you do not have to go and create another sheet; you can add a control to let users select what is calculated.

The output of this recipe is similar to the preceding recipe, only with slightly different expressions to add depth of analysis to the same object.

Getting ready

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

Transactions: 
Load  
Date(today()-IterNo()) AS Date, 
Pick(Ceil(3*Rand()),'Standard','Premium','Discount') AS 
   ProductType, 
Floor(date(today()-IterNo())) AS DateNum, 
 Round(1000*Rand()*Rand()*Rand()) AS Sales, 
 Round(10*Rand()*Rand()*Rand()) AS Quantity, 
 Round(Rand()*Rand(),0.00001) AS Margin 
Autogenerate 10000 
While Rand...