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 unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to...

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Detalles Bibliográficos
Autores principales: Steele, Julie, Iliinsky, Noah
Lenguaje:eng
Publicado: O'Reilly Media 2011
Materias:
Information Transfer and Management
Acceso en línea:http://cds.cern.ch/record/1438039
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author Steele, Julie
Iliinsky, Noah
author_facet Steele, Julie
Iliinsky, Noah
author_sort Steele, Julie
collection CERN
description 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, expl
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
publisher O'Reilly Media
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spelling cern-14380392021-04-22T00:31:50Zhttp://cds.cern.ch/record/1438039engSteele, JulieIliinsky, NoahDesigning Data Visualizations: Representing Informational RelationshipsInformation Transfer and ManagementData 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, explO'Reilly Mediaoai:cds.cern.ch:14380392011
spellingShingle Information Transfer and Management
Steele, Julie
Iliinsky, Noah
Designing Data Visualizations: Representing Informational Relationships
title Designing Data Visualizations: Representing Informational Relationships
title_full Designing Data Visualizations: Representing Informational Relationships
title_fullStr Designing Data Visualizations: Representing Informational Relationships
title_full_unstemmed Designing Data Visualizations: Representing Informational Relationships
title_short Designing Data Visualizations: Representing Informational Relationships
title_sort designing data visualizations: representing informational relationships
topic Information Transfer and Management
url http://cds.cern.ch/record/1438039
work_keys_str_mv AT steelejulie designingdatavisualizationsrepresentinginformationalrelationships
AT iliinskynoah designingdatavisualizationsrepresentinginformationalrelationships

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