Book Image

Mastering QlikView Data Visualization

By : Karl Pover
Book Image

Mastering QlikView Data Visualization

By: Karl Pover

Overview of this book

Just because you know how to swing a hammer doesn't mean you know how to build a house. Now that you've learned how to use QlikView, it's time to learn how to develop meaningful QlikView applications that deliver what your business users need. You will explore the requirements and the data from several business departments in order to deliver the most amazing analysis and data visualizations. In doing so, you will practice using advanced QlikView functions, chart object property options, and extensions to solve real-world challenges.
Table of Contents (18 chapters)
Mastering QlikView Data Visualization
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

QlikView extensions and the cycle plot


If we are going to work with advanced data visualization in QlikView, we have to get used to working with extensions. We can either develop the QlikView extension ourselves or use open source extensions that are available in Qlik Branch (http://branch.qlik.com).

For example, we are presented with the challenge to find a better way to visualize year-over-year (YoY), week-over-week (WoW), or any other period-over-period analysis. The following line chart demonstrates how difficult it can be to compare a large number of periods:

A cycle plot (Cleveland, Dunn, and Terpenning, 1978) offers a alternate way to compare a large number of periods. The following cycle plot is a QlikView extension that displays the average sales by weekday in each month and compares it to the total average sales represented by a flat horizontal line:

Exercise 2.6

Let's create this cycle plot in Sales_Perspective_Sandbox.qvw using the following steps:

  1. In the Ch. 2 folder of the book...