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

Using visual analysis to find stories


The following is a quote from Ben Schneiderman:

"Visualization gives you answers to questions you didn't know you had."

In the Chapter 2, Setting the Purpose and Identifying Key Factors, we discussed the different intentions and motives you might have for developing a data visualization. In most cases we think of it as something we create and provide to others. What we sometimes neglect to consider is the potential of visualization for ourselves, when we are the intended users looking to discover insights about a subject.

This is where we consider the application of visual analysis. Visually analyzing a dataset, and employing both inductive and deductive reasoning, enables us—as the designer—to learn more about our subject by exploring a dataset from all directions.

As Ben Schneiderman articulates above, and as we saw through the demonstration of Francis Anscombe's experiment, rather than just looking at data, we are using visualization to actually see it...