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

Von:

Richards, Neil [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: AK Peters visualization seriesVerlag: Boca Raton : AK Peters/CRC Press, 2023Auflage: First editionBeschreibung: 1 Online-RessourceISBN:

9781000755831
1000755835
9781000755848
1000755843

Schlagwörter:

Andere physische Formen: 9781003240211. | 1003240216 | 9781032146201. | 9781032139449. | 9781032146201 | Erscheint auch als: Questions in dataviz. Druck-Ausgabe Boca Raton : AK Peters/CRC Press, 2023LOC-Klassifikation:

QA76.9.I52

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: 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?Zusammenfassung: "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"--PPN: PPN: 1882640926Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB

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