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 subfield() function to split field into multiple records

Sometimes, we have nested data stored in a field, instead of several lines to save space in a database. This is manageable for storage and record-by-record retrieval. However, for analysis, we need to split data into multiple records. For this purpose, we use the subfield() function.

Getting ready

Create a new Qlik Sense application and load the following script into your Qlik Sense application:

OrderID, CustomerID, LineItems 
200, 1, Gloves;100|Helmet;75 
201, 2, Raincoat;50|Gloves;70|Seat;90 
202, 3, Seat;80 
203, 4, Mudguard;90 

How to do it…

We will need to split the data stored in LineItems into several records and, after that, split data into multiple columns.

  1. Load the following script to generate the records for each order item, and separate the product name and sale value data into two new columns. You can add this on top of the initial LOAD as a preceding LOAD: