Questions in Dataviz
portes grátis
Questions in Dataviz
A Design-Driven Process for Data Visualisation
Richards, Neil
Taylor & Francis Ltd
11/2022
336
Mole
Inglês
9781032139449
15 a 20 dias
807
Descrição não disponível.
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 visualizing 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Dataviz;Data Visualisation;fundamental data visualization principles;creative data visualization;data industry;Custom Visualisations;White Space;Data Ink Ratio;Exploratory Data Visualisation;Data Storytelling;Wo;Tile Maps;Beatles;TED;Album Cover;USA;Follow;Colour Choices;Alberto Cairo;Hexagonal Tiles;Album Cover Image;Operation Fistula;Pre-conceived Design;Data Visualisation Expert;Gestalt Principles;Generative Art;Big Mac Index;Business Intelligence Tools;Bi Tool;Data Journalism
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 visualizing 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Dataviz;Data Visualisation;fundamental data visualization principles;creative data visualization;data industry;Custom Visualisations;White Space;Data Ink Ratio;Exploratory Data Visualisation;Data Storytelling;Wo;Tile Maps;Beatles;TED;Album Cover;USA;Follow;Colour Choices;Alberto Cairo;Hexagonal Tiles;Album Cover Image;Operation Fistula;Pre-conceived Design;Data Visualisation Expert;Gestalt Principles;Generative Art;Big Mac Index;Business Intelligence Tools;Bi Tool;Data Journalism
