Fr. 75.00

Data Visualisation - A Handbook for Data Driven Design

English · Paperback / Softback

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Description

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Informationen zum Autor Andy Kirk is an  Independent Data Visualisation Expert   delivering a range of professional services to clients around the world as a data visualisation design consultant and prolific trainer. He is a sought-after speaker, a four-times published author, the editor of visualisingdata.com, and host of the ‘Explore Explain’ video and podcast series. He’s had over a decade experience as an adjunct lecturer positions teaching data visualisation modules on Masters programmes at a range of esteemed institutes and maintains academic activity through involvement as an external research consultant. Before finding his calling with data visualisation Andy studied at Lancaster University, graduating in 1999 with a BSc (hons) in Operational Research then commenced his working career with a series of business analysis/information management roles with organisations including CIS Insurance, West Yorkshire Police and the University of Leeds. It was whilst working at the University that he had the opportunity to undertake a Masters of Research degree (MRes) to study data visualisation, graduating with distinction in 2009 and changing the course of his career.  Klappentext Combining 'how to think' instruction with a 'how to produce' mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication. Inhaltsverzeichnis INTRODUCTION PART A: FOUNDATIONS Chapter 1: What is Data Visualisation? Chapter 2: The Process & Principles of Visualising Data PART B: THE HIDDEN THINKING Chapter 3: Formulating the Brief Chapter 4: Working with Data Chapter 5: Editorial Thinking PART C: THE DESIGN THINKING Chapter 6: Data Representation Chapter 7: Interaction and Dynamic Design Chapter 8: Annotation Chapter 9: Colour Chapter 10: Composition ...

List of contents

INTRODUCTION
PART A: FOUNDATIONS
Chapter 1: What is Data Visualisation?
Chapter 2: The Process & Principles of Visualising Data
PART B: THE HIDDEN THINKING
Chapter 3: Formulating the Brief
Chapter 4: Working with Data
Chapter 5: Editorial Thinking
PART C: THE DESIGN THINKING
Chapter 6: Data Representation
Chapter 7: Interaction and Dynamic Design
Chapter 8: Annotation
Chapter 9: Colour
Chapter 10: Composition

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