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

Chapter 5. Useful Functions

In this chapter, we will focus on some interesting and useful functions available in Qlik Sense:

  • Using an extended interval match to handle slowly changing dimensions
  • Using the Previous() function to identify the latest record for a dimensional value
  • Using the NetworkDays() function to calculate the working days in a calendar month
  • Using the Concat() function to display a string of field values as a dimension
  • Using the MinString() function to calculate the age of the oldest case in a queue
  • Using the RangeSum() function to plot cumulative figures in trendline charts
  • Using the Fractile() function to generate quartiles
  • Using the FirstSortedValue() function to identify the median in a quartile range
  • Using the Declare and Derive functions to generate Calendar fields
  • Setting up a moving annual total figure
  • Using the For Each loop to extract files from a folder
  • Using the Peek() function to create a currency exchange rate calendar
  • Using the Peek() function to create a trial balance...