Book Image

Data Visualization: a successful design process

Book Image

Data Visualization: a successful design process

Overview of this book

Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories and key insights locked away."Data Visualization: a Successful Design Process" explores the unique fusion of art and science that is data visualization; a discipline for which instinct alone is insufficient for you to succeed in enabling audiences to discover key trends, insights and discoveries from your data. This book will equip you with the key techniques required to overcome contemporary data visualization challenges. You'll discover a proven design methodology that helps you develop invaluable knowledge and practical capabilities.You'll never again settle for a default Excel chart or resort to "fancy-looking" graphs. You will be able to work from the starting point of acquiring, preparing and familiarizing with your data, right through to concept design. Choose your "killer" visual representation to engage and inform your audience."Data Visualization: a Successful Design Process" will inspire you to relish any visualization project with greater confidence and bullish know-how; turning challenges into exciting design opportunities.
Table of Contents (13 chapters)
Data Visualization: a successful design process
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 5. Taxonomy of Data Visualization Methods

In the previous chapter, we learned about the anatomy of a data visualization. This provided a framework to recognize and consider all the different design decisions you're faced with as well as guidance for how you might rationalize the choices you make.

In this chapter, we specifically revisit the data representation layer. This was described as the most critical layer of the visualization design task. It is also probably the most difficult to master.

In this chapter, we'll look at a taxonomy of data visualization methods as defined by the primary communication purpose. Within this taxonomy we will see an organized collection of some of the most common chart types and graphical methods being used today.

By exploring this array of chart types you will get a better understanding of the relationship between the stories you are trying to portray, the physicality of your data, and the visual variables through which we can represent them. It will...