Designing Data Visualizations: Representing Informational RelationshipsData 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.
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appropriate visual associated axes axis bar graphs blue BSD License Chapter charts choose circles and circular circular layouts color blindness color model color palettes common comparing consider context Copyright Craig Robinson creating creative data dimension data points data types dataset decoding default defined design choices Designing Data Visualizations diagrams different data display entities example explanatory visualization exploration Facebook Figure fonts formats goal Graphics heat maps icons implementation important infographics Information Visualization labels learned length Line graphs look Marimekko meaning natural ordering Noah Iliinsky O’Reilly Media patterns perceived Periodic Table persuasive visualization pie graphs placement position quantitative reader reader’s brain redundantly encode relationships relevant represent Robert Palmer Safari Books Online Sankey diagrams shapes spatial specific Stroop Test structure subtractive color surface areas Tableau Software things tool Treemaps understand values versus visual art visual encoding visual properties what’s you’re