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

Summary


In this chapter, we have started our journey through the data visualization methodology. The emphasis has been on the importance of planning, preparation, and scoping our project, before we embark on any design work. Without this early work we could undermine the effectiveness and efficiency of our eventual design process: something any designer can ill afford to allow.

We have seen how data visualization is a means of facilitating the discovery of patterns and relationships that exist within data. These are insights that would otherwise be practically impossible to draw from data in its raw state.

The importance of establishing the purpose of our visualization project was the key part of this first stage. Specifically, we highlighted the distinction between functional intent and tonal intent.

Within these characteristics we described the difference between visualizations that are functionally seeking to explain, explore, or exhibit data. Furthermore, we saw the significance in potential...