|Title||:||Designing Data Visualizations|
|Author||:||Noah Iliinsky & Julie Steele|
|Release||:||September 16, 2011|
|File type||:||PDF, ePub, eBook|
|File||:||Designing Data Visualizations-Noah Iliinsky & Julie Steele.pdf|
|Last Checked||:||15 minutes ago|
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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 hybridDiscover how three fundamental influences—the designer, the reader, and the data—shape what you createLearn how to describe the specific goal of your visualization and identify the supporting dataDecide the spatial position of your visual entities with axesEncode the various dimensions of your data with appropriate visual properties, such as shape and colorSee visualization best practices and suggestions for encoding various specific data types
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