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 intersection between sets for Basket Analysis


In the previous recipe, you learned how to use the P() function inside a Set Analysis expression. A P() function returns a set of all possible values.

To take the concept a bit further, we will now see how to use the P() function combined with the intersection operator * to help us locate invoices where two or more products were sold together.

 

 

Getting ready

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

Basket: 
LOAD * INLINE [ 
BasketInvoiceno, BasketProduct, BasketSales 
101, Apple, 10000 
101, Orange, 5000 
101, Lemon, 6000 
102, Apple, 30000 
103, Orange, 4000 
103, Strawberry, 4000 
104, Lemon, 4000 
106, Apple, 3000 
106, Orange, 2000 
107, Strawberry, 4000 
 
]; 

How to do it…

  1. On a new sheet, drag and drop the Filter pane object from the Assets panel on the left-hand side of the screen.
  2. Add BasketProduct...