-Top designers discuss their approaches to data visualisation, offering insight into their commonly used design methods and tips for beginning practitioners in the field -The 40 featured designers are all very experienced, and are renowned for creating reputable works of high level and value What is data visualization? In Data Visualization for Success, 40 designers and their works demonstrate that data visualization is a vibrant and constantly evolving field that is as multimodal as it is interdisciplinary. Through the works showcased here, these designers discuss some of their approaches to working with data visualisation, offering insight into the design methods they commonly use and providing tips that will help beginning practitioners in the field. This book shows that data visualization is a practice and discipline whose fluid boundaries continue to be moved in new, exciting, and unprecedented directions by emerging and seasoned designers alike.

A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.

Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.

Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization production increasingly accessible, it is important to study the conditions under which such visual texts are generated, disseminated and thought to be of societal benefit. This book is a contribution to the multi-disciplined and multi-faceted conversation concerning the forms, uses and roles of data visualization in society. Do data visualizations do 'good' or 'bad'? Do they promote understanding and engagement, or do they do ideological work, privileging certain views of the world over others? The contributions in the book engage with these core questions from a range of disciplinary perspectives.

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.

Don't bore those who listen to you, show your data by telling a story! Imagine that a king, eccentric and not very patient, entrusts you with the task of calculating the prospect of a planned war. So, to avoid "losing your head", you rack your brains to present your calculations and data to the king. In the end, you decide to view the data! By "Storytelling with Data", you learn the fundamentals of data visualization and how to effectively communicate with data: you will discover the power of storytelling! Through this book, you will know the method to reach the heart of the data, so that you can manage them according to your needs and, by appropriate graphics and correct communication, create a compelling story that allows you to convey your ideas effectively and productive to listeners. Not only! With storytelling, you can influence the action with data! This book helps you build trust and credibility to create graphs and visualizations that convince others, guiding you along the way to hone your basic skills and become an expert data communicator. In particular, you will learn: Fundamental of data visualization How to understand the importance of context and audience Determining the appropriate type of graph for your public How to reduce and eliminate clutter in your visuals Inducing the eyes of the public in the most important parts of the data The basic design principles for using these concepts in data visualization To use the power to tell stories to amplify and make your message convincing to your audience The topics that are covered in this book are what you need to become an excellent data visualization presenter. When you have diligently applied yourself to the concepts in this book, you will discover that your skills have improved beyond doubt. Repeat the concepts in this book over and over again, and you will become a master. Go forth and tell your stories!