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

Personnel productivity breakdown


We begin the analysis of each office's teams by investigating their overall compositions and actions. We have a variety of metrics that may help us understand why one team may perform better than another. The following is a list of common metrics that we can use in our HR perspective:

  • Age distribution

  • Salary distribution

  • Employee-retention rate

  • Employee sick and vacation days

  • Employee training and performance

Age distribution

Let's begin with our analysis and compare the age distribution between the two offices. Instead of using a histogram, we use a frequency polygon so that we can compare more than one distribution in the same chart.

Exercise 7.3

  1. Create the following variable:

    Variables

    Details

    Label

    Value

    vEmployeeAgeBinSize

    1

  2. Let's create the following line chart:

    Dimensions

    Details

    Label

    Value

    Age

    =ValueLoop($(=floor(min({$<_Employee_Active_Flag={1}>}
                   [Employee Age]),vEmployeeAgeBinSize)),$(=floor(max({$<_Employee_Active_Flag...