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

Annotation


Here is a quote from Amanda Cox ():

"The annotation layer is the most important thing we do... otherwise it's a case of here it is, you go figure it out."

Our next layer is one that can often be neglected. However, as this quote suggests, annotating visualization is such an important features of our design. It is about taking care of your audience, recognizing who they are, what they might know already, and what they don't know.

Done well, annotation can help explain and facilitate the viewing and interpretive experience. It is the challenge of creating a layer of user assistance and user insight: how can you maximize the clarity and value of engaging with this visualization design?

As discussed in the first chapter, a key objective for effective data visualization design is the facilitation of accessibility into a subject through intuitive design. The degree of accessibility is enhanced through the effective inclusion of useful explanation across all features of your visualization...