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- 384pages
- 14 heures de lecture
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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.
Achat du livre
Visualize This, Nathan C. Yau
- Langue
- Année de publication
- 2024
- Reliure
- (souple)
Modes de paiement
Il manque plus que ton avis ici.
- Titre
- Visualize This
- Sous-titre
- The FlowingData Guide to Design, Visualization, and Statistics
- Langue
- Anglais
- Auteurs
- Nathan C. Yau
- Éditeur
- John Wiley & Sons Inc
- Publié
- 2024
- Format
- souple
- Pages
- 384
- ISBN10
- 1394214863
- ISBN13
- 9781394214860
- Séries
- Mots clés
- Nonfiction, Art / Culture, Manuels, Commerce, Affaires & Gestion, Technologie & Ingénierie, Manuels et guides, Informatique & Internet, Science, Technologie, Design, Gestion & Ressources humaines, Marketing & Ventes, Études postuniversitaires
- Évaluation
- 3,9 sur 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.


