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

✍ Scribed by Neil Richards

• Publisher: CRC Press
• Year: 2023
• Tongue: English
• Leaves: 367
• Series: AK Peters Visualization Series
• Category: Library

✦ Table of Contents

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