Designing Data Visualizations Representing Informational Relationships eBook Julie Steele Noah Iliinsky lesen Designing%20Data%20Visualizations%20Representing%20Informational%20Relationships%20eBook%20Julie%20Steele%20Noah%20Iliinsky
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lesen Designing Data Visualizations Representing Informational Relationships eBook Julie Steele Noah Iliinsky XMR
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
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Designing Data Visualizations Representing Informational Relationships eBook Julie Steele Noah Iliinsky Reviews :
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
ebook,Julie Steele, Noah Iliinsky,Designing Data Visualizations Representing Informational Relationships,O'Reilly Media,Data Modeling Design,COMPUTER,COMPUTERS / Computer Graphics,COMPUTERS / Computer Literacy,COMPUTERS / Data Modeling Design,COMPUTERS / General,COMPUTERS / User Interfaces,Computer Books General,Computer Literacy,Computer graphics,Computer vision,Computer/General,Computers,Computers - General Information,Computers Computer Graphics,Computers Data Modeling Design,Computers/Computer Graphics,Computers/Computer Literacy,Computers/Data Modeling Design,Data Modeling Design,How-to/Do-it-yourself,Information visualization,MICROCOMPUTER DATABASE MANAGEMENT,Microcomputer Database Management Software,Non-Fiction,Professional,United States,User Interfaces,data visualization; design; user interface; visual,data visualization;design;user interface;visual,COM012000,COM013000,COMPUTERS / Computer Graphics,COMPUTERS / Computer Literacy,COMPUTERS / Data Modeling Design,COMPUTERS / General,COMPUTERS / User Interfaces,Computer Literacy,Computers Computer Graphics,Computers Data Modeling Design,Computers/Computer Graphics,Computers/Computer Literacy,Computers/Data Modeling Design,User Interfaces,Computers - General Information,Microcomputer Database Management Software,Computers,Computer Books General
Designing Data Visualizations Representing Informational Relationships eBook Julie Steele, Noah Iliinsky
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