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

Optimizing the UI calculation speed

The following recipe discusses the creation of flags in the script and the use of these flags in the chart expressions to optimize the calculation speeds.

A flag can be described as a binary status indicator that is used to indicate certain states of data; for example, creating a new field in the table called MonthToDate Flag. This field can be used to flag records with the number 1 if the record was created in the last month, else we mark the record with a 0.

Using this approach, we can now count the number of records in the table that were created in the last month using the expression SUM([Month To Date Flag]).

A flag is often used to code complex decision logic into the load script so that the binary "yes" or "no" decisions can be quickly identified from the calculations.

Getting ready

For this recipe, we will generate sales data in the script, as defined in the following. Load the following script into the Data load editor:

    DateID, ...