Designing Data Visualizations - Representing Informational Relationships - E-book - Multi-format

Edition en anglais

Noah Iliinsky

,

Julie Steele

Note moyenne 
Noah Iliinsky et Julie Steele - Designing Data Visualizations - Representing Informational Relationships.
Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an... Lire la suite
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Résumé

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one.
Then learn how to apply these concepts to your design process. - Learn data visualization classifications, including explanatory, exploratory, and hybrid - Discover how three fundamental influences-the designer, the reader, and the data-shape what you create - Learn how to describe the specific goal of your visualization and identify the supporting data - Decide the spatial position of your visual entities with axes - Encode the various dimensions of your data with appropriate visual properties, such as shape and color - See visualization best practices and suggestions for encoding various specific data types

Caractéristiques

  • Date de parution
    16/09/2011
  • Editeur
    O'Reilly Media
  • ISBN
    978-1-4493-1227-5
  • EAN
    9781449312275
  • Format
    Multi-format
  • Nb. de pages
    112 pages
  • Caractéristiques du format Multi-format
    • Pages
      112
  • Caractéristiques du format ePub
    • Protection num.
      pas de protection
  • Caractéristiques du format PDF
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  • Caractéristiques du format Mobipocket
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  • Caractéristiques du format Streaming
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