• Medientyp: Buch
  • Titel: Questions in dataviz : a design-driven process for data visualisation
  • Enthält: 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?
  • Beteiligte: Richards, Neil [VerfasserIn]
  • Erschienen: Boca Raton: CRC Press, Taylor & Francis Group, 2023
  • Erschienen in: AK Peters visualization series
    An A. K. Peters Book
  • Ausgabe: First edition
  • Umfang: xxix, 336 Seiten; Illustrationen, Diagramme
  • Sprache: Englisch
  • DOI: 10.1201/9781003240211
  • ISBN: 9781032146201; 9781032139449
  • Identifikator:
  • RVK-Notation: AK 39950 : Arbeit mit elektronischen Medien
    ST 320 : Computergrafik
  • Schlagwörter: Information visualization
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: "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"--

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  • Signatur: ST 320 R517
  • Barcode: 34806677