Book Image

QlikView: Advanced Data Visualization

By : Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover
Book Image

QlikView: Advanced Data Visualization

By: Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover

Overview of this book

QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations. Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources. With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro. This Learning Path includes content from the following Packt products: • QlikView for Developers by Miguel Ángel García, Barry Harmsen • Mastering QlikView by Stephen Redmond • Mastering QlikView Data Visualization by Karl Pover
Table of Contents (25 chapters)
QlikView: Advanced Data Visualization

Reviewing data loading concepts

There are a few things that we need to remind ourselves of before we can fully grasp the concepts covered in this chapter.

Getting data from anywhere

QlikView is data-agnostic. It doesn't care where the data comes from, all QlikView cares about is whether the data is numeric or alphanumeric, and if it is numeric, does it have an alphanumeric representation that needs to be stored. Hence, for practical discussion purposes, there are only two datatypes in QlikView—numeric and dual.


QlikView does actually recognize both integer and float values and stores them accordingly, with floats taking up more storage bytes. If the numeric values have a format, then they are stored as duals—with the number and the formatted string stored together. The Floor function will not only remove decimals from a number, leaving just an integer, but it will also remove any formatting so it will reduce the amount of space needed to store the values.

This is sometimes difficult for...