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Visualize This

The FlowingData Guide to Design, Visualization, and Statistics

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  • 384 pages
  • 14 hours of reading

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This influential data visualization guide, now updated with new techniques and examples, teaches you how to visually explain data for clear communication. In an era of abundant data, thoughtful charts and maps can help make sense of it all. However, as data expert Nathan Yau emphasizes, graphics are only valuable when grounded in a solid understanding of the underlying data. This resource adopts a practical, data-first approach, encouraging you to explore your data's insights before creating meaningful visualizations. You’ll learn about various tools without feeling overwhelmed and engage with real-world datasets to gain hands-on experience. The book empowers you to ask and answer questions using data, enabling you to create charts that are both aesthetically pleasing and functional. Additionally, it offers opportunities to apply your newfound skills to your own data projects. This fully updated, full-color edition is invaluable for information designers, analysts, journalists, statisticians, data scientists, and anyone pursuing careers in these fields, providing essential concepts and techniques in data visualization.

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Visualize This, Nathan C. Yau

Language
Released
2024
Binding
(Paperback)
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Subtitle
The FlowingData Guide to Design, Visualization, and Statistics
Language
English
Released
2024
Format
Paperback
Pages
384
ISBN10
1394214863
ISBN13
9781394214860
Series
Rating
3.9 out of 5
Description
This influential data visualization guide, now updated with new techniques and examples, teaches you how to visually explain data for clear communication. In an era of abundant data, thoughtful charts and maps can help make sense of it all. However, as data expert Nathan Yau emphasizes, graphics are only valuable when grounded in a solid understanding of the underlying data. This resource adopts a practical, data-first approach, encouraging you to explore your data's insights before creating meaningful visualizations. You’ll learn about various tools without feeling overwhelmed and engage with real-world datasets to gain hands-on experience. The book empowers you to ask and answer questions using data, enabling you to create charts that are both aesthetically pleasing and functional. Additionally, it offers opportunities to apply your newfound skills to your own data projects. This fully updated, full-color edition is invaluable for information designers, analysts, journalists, statisticians, data scientists, and anyone pursuing careers in these fields, providing essential concepts and techniques in data visualization.