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

Using the Concat() function to display a string of field values as a dimension


A line-level table is normally the most granular data in a data model. For example, consider an Order Line table. The orders for each customer are stored one row per product line, and we have corresponding costs for each product on each line. When we generate a table report for such data, we will have a separate line for each product, which, in itself, is not wrong. Recently, however, a customer asked me to initiate an export for the Table report in such a way that all the products for a particular order are contained in a single cell, and the sales column should show the aggregated figure for all the products under OrderID. To tackle this requirement, I created a calculated dimension using the Concat function. The process is explained in the following recipe.

Getting ready

  1. Create a new Qlik Sense application.
  2. Add the following INLINE table that contains the Order Line table details:
Orders: 
LOAD * INLINE [ 
   ...