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Visualize this. The FlowingData guide to design, visualization, and statistics

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Data is constantly increasing, making it challenging to organize in a way that resonates with its audience. Imagine visualizing data to maximize its potential and tell a clear, concise story. Thanks to Nathan Yau, a data visualization expert, this is possible. In this full-color guide, Yau provides step-by-step tutorials on how to visualize and narrate stories with data. He covers gathering, parsing, and formatting data, along with designing high-quality graphics that reveal patterns, outliers, and relationships. Yau offers a unique perspective on visualizing data, drawing from his expertise and the resources available at flowingdata.com. The book includes practical design tips for creating statistical graphics, geographical maps, and information design, helping readers find meaning in numbers. It details various tools for visualizing data-native graphics for the web, including ActionScript, Flash libraries, PHP, and JavaScript, as well as tools for print graphics like R and Illustrator. With numerous examples and descriptions of patterns and outliers, this guide demonstrates how to visually explain data, enabling you to present information in an accessible and engaging manner.

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Visualize this. The FlowingData guide to design, visualization, and statistics, Nathan C. Yau

Taal
Jaar van publicatie
2011
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Titel
Visualize this. The FlowingData guide to design, visualization, and statistics
Taal
Engels
Uitgever
Wiley
Jaar van publicatie
2011
Formaat
Paperback
Aantal pagina's
358
ISBN10
0470944889
ISBN13
9780470944882
Reeks
Beoordeling
3,9 van 5
Aantekening
Data is constantly increasing, making it challenging to organize in a way that resonates with its audience. Imagine visualizing data to maximize its potential and tell a clear, concise story. Thanks to Nathan Yau, a data visualization expert, this is possible. In this full-color guide, Yau provides step-by-step tutorials on how to visualize and narrate stories with data. He covers gathering, parsing, and formatting data, along with designing high-quality graphics that reveal patterns, outliers, and relationships. Yau offers a unique perspective on visualizing data, drawing from his expertise and the resources available at flowingdata.com. The book includes practical design tips for creating statistical graphics, geographical maps, and information design, helping readers find meaning in numbers. It details various tools for visualizing data-native graphics for the web, including ActionScript, Flash libraries, PHP, and JavaScript, as well as tools for print graphics like R and Illustrator. With numerous examples and descriptions of patterns and outliers, this guide demonstrates how to visually explain data, enabling you to present information in an accessible and engaging manner.