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 a For each loop to load data from multiple files


Often in a Qlik Sense application, we need to load data from a directory that contains an identical set of data files; for example, sales for each country come in different files for each month. In such a case, we use a wildcard load, in order to fetch the data for our application. The following recipe discusses the data modeling issues encountered when using the wildcard load and how we make use of the For each loop structure in the script to overcome this issue.

Getting ready

For this exercise, we will make use of two sample XLSX files, namely, Apr2015.xlsx and May2015.xlsx, that contain mock sales data for six countries. These files can be downloaded from the Packt Publishing website.

How to do it…

  1. Once the source files are downloaded, store them in a folder called ForEachLoadData.
  2. Create a folder connection as explained in Chapter 1, Getting Started with the Data, that points to the ForEachLoadData folder. Name the connection as QlikSenseCookBookForEachLoadData...