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


When we perform financial analysis, we have to be able to easily adjust over which period we are going calculate each metric. For example, return on assets is net income divided by total assets. Net income is calculated over the past twelve months while total assets is an accumulated amount calculated over all previous months.

We can use set analysis to calculate these metrics at any one moment in time; however, we also would like to visualize the trend of these metrics. The best way to calculate that trend is to combine set analysis with an AsOfCalendar.

An AsOfCalendar contains the same months and years as a regular calendar. However, when we select a date in the AsOfCalendar, we see everything that is prior to this data in the Facts table. For example, in the following diagram if we select 2013-Jun in the AsOf Year-Month field, then we see all months prior to it in the data model as possible values in the Year-Month field:

We use a subroutine, Qvc.AsOfTable in QV Components...