Book Image

QlikView for Developers Cookbook

By : Stephen Redmond
Book Image

QlikView for Developers Cookbook

By: Stephen Redmond

Overview of this book

QlikView has been around since 1993, but has only really taken off in recent years as a leader in the in-memory BI space and, more recently, in the data discovery area. QlikView features the ability to consolidate relevant data from multiple sources into a single application, as well as an associative data model to allow you to explore the data to a way your brain works, state-of-the-art visualizations, dashboard, analysis and reports, and mobile data access. QlikView for Developers Cookbook builds on your initial training and experiences with QlikView to help you become a better developer. This book features plenty of hands-on examples of many challenging functions. Assuming a basic understanding of QlikView development, this book provides a range of step-by-step exercises to teach you different subjects to help build your QlikView developer expertise. From advanced charting and layout to set analysis; from advanced aggregations through to scripting, performance, and security, this book will cover all the areas that you need to know about. The recipes in this book will give you a lot of the information that you need to become an excellent QlikView developer.
Table of Contents (19 chapters)
QlikView for Developers Cookbook
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Using Peek and Previous to calculate against loaded records


Previous is an excellent function to be able to use in a QlikView script, because it allows us to look back at previous source records. Peek allows us to look at records that have already been loaded into memory.

Both are very useful for making vertical calculations in the script. In this recipe, we will look at making period-on-period calculations.

Getting ready

Go to http://www.bls.gov/lau/, and look for the County Data table. Download the text file (currently at http://www.bls.gov/lau/laucntycur14.txt) to your PC.

Follow these steps to load the data:

  1. Edit the script and click on the Table Files button:

  2. Browse to the file that we downloaded previously. Set the File Type to Fixed Record. Set Record Size to Lines. Set Header Size also to Lines, and then increase the number of rows until all the header rows (including dashes) are removed:

  3. Click on either side of each of the bars (|) in the text to create the correct columns for the data...