Learning QlikView Data Visualization

A complete guide to turning your data into many different chart types using QlikView. Starting with data analysis and progressing to visualization, it’s ideal for anyone who wants to convey information in a clear and graphic way.

Learning QlikView Data Visualization

Learning
Karl Pover

A complete guide to turning your data into many different chart types using QlikView. Starting with data analysis and progressing to visualization, it’s ideal for anyone who wants to convey information in a clear and graphic way.
$22.99
$37.99
RRP $22.99
RRP $37.99
eBook
Print + eBook
$12.99 p/month

Want this title & more? Subscribe to PacktLib

Enjoy full and instant access to over 2000 books and videos – you’ll find everything you need to stay ahead of the curve and make sure you can always get the job done.
+ Collection
Free Sample

Book Details

ISBN 139781782179894
Paperback156 pages

About This Book

  • Explore the basics of data discovery with QlikView
  • Perform rank, trend, multivariate, distribution, correlation, geographical, and what-if analysis
  • Deploy data visualization best practices for bar, line, scatterplot, heat map, tables, histogram, box plot, and geographical charts
  • Communicate and monitor data using a dashboard

Who This Book Is For

Learning QlikView Data Visualization is for anybody interested in performing powerful data analysis and crafting insightful data visualization, independent of any previous knowledge of QlikView. Experience with spreadsheet software will help you understand QlikView functions.

Table of Contents

Chapter 1: First Things First
Project background
People
Data
Tools
QlikView
Summary
Chapter 2: Rank Analysis
What is rank analysis?
Bar chart
Data visualization style guide for bar charts
Summary
Chapter 3: Trend Analysis
What is trend analysis?
The line chart
Data visualization style guide for line charts
Summary
Chapter 4: Multivariate Analysis
What is multivariate analysis?
Table charts
Data visualization style guide for table charts
Summary
Chapter 5: Distribution Analysis
What is distribution analysis?
Histogram chart
Data visualization style guide for histogram charts
Summary
Chapter 6: Correlation Analysis
What is correlation analysis?
Scatterplot chart
Data visualization style guide for scatterplot charts
Summary
Chapter 7: Geographical Analysis
What is geographical analysis?
QlikMarket
Area map chart
Data visualization style guide for area map charts
Summary
Chapter 8: What-if Analysis
What is what-if analysis?
Global variable what-if analysis
Detailed variable what-if analysis
Summary
Chapter 9: Dashboards and Navigation
What is a dashboard?
The dashboard application
Key Performance Indicators (KPI's)
Summary

What You Will Learn

  • Define the characteristics of the people, data, and tools involved in a data discovery project
  • Perform data discovery that helps you validate data quality
  • Understand and execute rank, trend, multivariate, distribution, correlation, geographical, and what-if analysis
  • Create bar, line, scatterplot, heat map, table, histogram, box plot, and geographical charts
  • Prevent data visualization manipulation and the formulation of incorrect conclusions
  • Create a dashboard to present your case and monitor future actions
  • Eliminate non-data and non-usability ink for a clean display
  • Pack more detail into each chart with techniques to add animation, trails, and sparklines, along with creating a trellis chart

In Detail

While QlikView’s data engine complements our thought processes and gives us the ability to rapidly implement insightful data discovery, we must also learn to use proper analytical and data visualization techniques to enhance our ability to make data more presentable.

Learning QlikView Data Visualization presents a simple way to organize your QlikView data discovery process. Within the context of a real-world scenario and accompanying exercises, you will learn a set of analytical techniques and data visualization best practices that you can customize and apply to your own organization.

We start our data discovery project by reviewing the data, people, and tools involved. We then go on to use rank, trend, multivariate, distribution, correlation, geographical, and what-if analysis as we try to resolve the problems of QDataViz, Inc, a fictitious company used as an example. In each type of analysis, we employ highlighting, heat maps, and other techniques on top of multiple chart types. Once we have a possible solution, we present our case in a dashboard and use performance indicators to monitor future actions.

You will learn how to properly create insightful data visualization in QlikView that covers multiple analytical techniques. By reusing what you’ve learned in Learning QlikView Data Visualization, your organization’s future data discovery projects will be more effective.

Authors

Table of Contents

Chapter 1: First Things First
Project background
People
Data
Tools
QlikView
Summary
Chapter 2: Rank Analysis
What is rank analysis?
Bar chart
Data visualization style guide for bar charts
Summary
Chapter 3: Trend Analysis
What is trend analysis?
The line chart
Data visualization style guide for line charts
Summary
Chapter 4: Multivariate Analysis
What is multivariate analysis?
Table charts
Data visualization style guide for table charts
Summary
Chapter 5: Distribution Analysis
What is distribution analysis?
Histogram chart
Data visualization style guide for histogram charts
Summary
Chapter 6: Correlation Analysis
What is correlation analysis?
Scatterplot chart
Data visualization style guide for scatterplot charts
Summary
Chapter 7: Geographical Analysis
What is geographical analysis?
QlikMarket
Area map chart
Data visualization style guide for area map charts
Summary
Chapter 8: What-if Analysis
What is what-if analysis?
Global variable what-if analysis
Detailed variable what-if analysis
Summary
Chapter 9: Dashboards and Navigation
What is a dashboard?
The dashboard application
Key Performance Indicators (KPI's)
Summary

Book Details

ISBN 139781782179894
Paperback156 pages
Read More