Questions in Dataviz: A Design-Driven Process for Data Visualisation (AK Peters Visualization Series)

Tis book takes the reader through the process of learning and creating data visualisation, following a unique journey with questions every step of the way, ultimately discussing how and when to bend and break the "rules" to come up with creative, unique, and sometimes unconventional ideas. Each easy-to-follow chapter poses one key question and provides a selection of discussion points and relevant data visualisation examples throughout.Structured in three parts: Section I poses questions around some fundamental data visualisation principles, while Section II introduces more advanced questions, challenging perceived best practices and suggesting when rules are open to interpretation or there to be broken. Te questions in Section III introduce further themes leading on to specifc ideas and visualisation projects in more detail. Questions in Dataviz: A Design-Driven Process for Data Visualisation will appeal to any reader with an interest in creative or unconventional data visualisation and will be especially useful for those at a beginner or intermediate level looking for inspiration and alternative ways to deploy their data visualisation skills outside of conventional business charts. AK Peters Visualization Series Tis series aims to capture new developments and summarize what is known over the whole spectrum of visualization by publishing a broad range of textbooks, reference works, and handbooks. It will contain books from all subfelds of visualization, including visual analytics, information visualization, and scientifc visualization. Te scope will largely follow the calls of the major conferences such as VIS: techniques, algorithms, theoretical foundations and models, quantitative and qualitative evaluation, design studies, and applications. Cover Half Title Series Page Title Page Copyright Page Table of Contents Preface Author Introduction SECTION I: First Questions Chapter 1.1 — Should the data drive the visualisation? Chapter 1.2 — What’s in a colour? Chapter 1.3 — What does data visualisation have in common with psychology? Chapter 1.4 — Do data visualisations have to tell a story? Chapter 1.5 — Is it OK to steal? Chapter 1.6 — Is white space always your friend? SECTION II: Challenging Questions Chapter 2.1 — Why do we visualise data? Chapter 2.2 — Why do we visualise using triangles? Chapter 2.3 — Does it matter if shapes overlap? Chapter 2.4 — What is data humanism? Chapter 2.5 — What is design-driven data? Chapter 2.6 — Do we take data visualisation too seriously? Chapter 2.7 — Why create unnecessary data visualisations? Chapter 2.8 — When are several visualisations better than one? Chapter 2.9 — What can I do when data is impossible to find? SECTION III: Idea Questions Chapter 3.1 — What is the third wave of data visualisation? Chapter 3.2 — What alternative ways are there for visualising timelines? Chapter 3.3 — Why do I use flowers to visualise data? Chapter 3.4 — What are Data portraits? Chapter 3.5 — how can I take inspiration from album covers? Chapter 3.6 — how many ways can you tile the United States? Chapter 3.7 — Is it possible to tile the world? Chapter 3.8 — Can you create visualisations using only numbers? Chapter 3.9 — how do you visualise music? Chapter 3.10 — What are truchet tiles? Chapter 3.11 — how do you create 31 visualisations in a month? Index This book takes the reader through the process of learning and creating data visualisation, following a unique journey with questions every step of the way, ultimately discussing how and when to bend and break the'rules'to come up with creative, unique, and sometimes unconventional ideas. Each easy-to-follow chapter poses one key question and provides a selection of discussion points and relevant data visualisation examples throughout.Structured in three parts: Section I poses questions around some fundamental data visualisation principles, while Section II introduces more advanced questions, challenging perceived best practices and suggesting when rules are open to interpretation or there to be broken. The questions in Section III introduce further themes leading on to specific ideas and visualisation projects in more detail.Questions in Dataviz: A Design-Driven Process for Data Visualisation will appeal to any reader with an interest in creative or unconventional data visualisation and will be especially useful for those at a beginner or intermediate level looking for inspiration and alternative ways to deploy their data visualisation skills outside of conventional business charts. "Questions in Dataviz: A Design-Driven Process for Data Visualisation takes the reader through the process of learning and creating data visualisation, starting with a selection of basic principles, all the way to how to bend and break the rules to come up with unique ideas. Each easy-to-follow chapter poses one key question and provides an array of valuable answers, including data visualisation examples throughout. Structured in three parts, Part 1 introduces fundamental data visualization principles, Part 2 introduces more unusual questions, challenges best practices and reveals when rules are open to interpretation, while Part 3 looks at ideas leading on to specific projects in more detail. The book also shares the inspiration and practical knowledge behind a successful data visualisation blog. Questions in Dataviz will appeal to any reader with an interest in creative data visualization and will be especially useful for those at a beginner or intermediate level, or those who want to step away from conventional business charts for non-business projects"-- Provided by publisher This book takes the reader through the process of learning and creating data visualisation, starting with a selection of basic principles. Each easy-to-follow chapter poses one key question and provides an array of valuable answers, including data visualisation examples throughout.