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

Refining your editorial focus


The following is a quote from Amanda Cox, New York Times (http://seekingalpha.com/article/66269-an-amazing-graphic-on-box-office-receipts):

"Different forms do better jobs at answering different questions."

Now that we have prepared our data, we revisit the matter of editorial focus.

To avoid being prematurely tempted into diving into the construction of a visualization design, we first need to do more work to fine-tune our analysis of what are the important messages.

In the first section, we explained the importance of taking responsibility to make sense of data, to find stories and tell stories to your intended audience. This demonstrates a level of care. It shows that you are not just going through the motions of communicating; you are taking it seriously, seeking to help your audience unlock insights from the subject matter.

The journalistic capability for unearthing the most relevant stories from data is a talent that any designer should aspire to develop.

In...