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 1. The Context of Data Visualization

This opening chapter provides an introduction to the subject of data visualization and the intention behind this book.

We start things off with some context about the subject. This will briefly explain why there is such an appetite for data visualization and why it is so relevant in the modern age against the backdrop of enhanced technology, increasing capture and availability of data, and the desire for innovative forms of communication.

After this introduction, we then look at the theoretical basis of data visualization, specifically the importance of understanding visual perception. To help establish a term of reference for the rest of the book, we'll then consider a proposed definition for this subject.

Next, we introduce the data visualization methodology, a recommended approach that forms the core of this book, and discuss its role in supporting an effective and efficient design process.

Finally, we consider some of the fundamental data visualization design objectives. These provide a useful framework for evaluating the suitability of the choices we make along the journey towards an accomplished design solution.