Questions in dataviz: a design-driven process for data visualisation

by Richards, Neil

Type Book

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Title Statements

Full title :Questions in dataviz : a design-driven process for data visualisation / Neil Richards.

Summary

"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"

Edition Statements

Publication Date:2023
Edition:First edition

Publication Statements

Publisher(s):A.K. Peters/CRC Press
Place of Publication:Boca Raton
Language:eng
Publication Date:2023

The Physical Object

Description:pages cm

Edition Identifiers

ISBN:9781032146201, 1032146206, 9781032139449, 1032139447
oclc:on1350092197
LC Classification:QA76.9.I52
Dewey Decimal:001.4/226

Should the data drive the visualisation? -- What's in a colour? -- What does data visualisation have in common with psychology? -- Do data visualisations have to tell a story? -- Is it ok to steal? -- Is white space always your friend? -- Why do we visualise data? -- Why visualise using triangles? -- Does it matter if shapes overlap? -- What is data humanism? -- What is design driven data? -- Do we take data visualisation too seriously? -- Why create unnecessary data visualisation? -- When are several visualisations better than one? -- What can I do when data is impossible to find? -- What is the third wave of data visualisation? -- What alternative ways are there for visualising timelines? -- Why do I use flowers to visualise data? -- What are data portraits? -- How can I take inspiration from album covers? -- How many ways can you tile the united states? -- Is it possible to tile the world? -- Can you create visualisations using only numbers? -- How do you visualise music? -- What are Truchet tiles? -- How do you create 31 visualisations in a month?