Questions in Dataviz. A Design-Driven Process for Data Visualisation

Description

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