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Data Visualization: a successful design process

Data Visualization: a successful design process

3.8 (17)
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Data Visualization: a successful design process

Data Visualization: a successful design process

3.8 (17)

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)
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Data Visualization: a successful design process
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1
Index

Clarifying the purpose of your project


We start at the very beginning. Why are we doing this project? What is its purpose?

These might seem like blunt questions to ask but it is so important to establish this type of clarity before we go much further. You might think: "please can we just get on with it?" and you're probably itching to get on to a computer and start playing with some data, but these initial few stages of this methodology are very deliberately designed to get you in to the habit of this type of reflective or analytical assessment.

If you look at a dictionary definition for "purpose", it will usually say something similar to: reason for existing, intended effect. These two dimensions neatly capture the focus of our definition work at this point in the journey.

The reason for existing

Let's start with the reason for existing. This is about recognizing the trigger behind the project or the origin from where it emerged. This gives us an idea of the scope and context of what we are...

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