Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Yau, Nathan

ISBN 10: 0470944889 / ISBN 13: 9780470944882

Edité par John Wiley & Sons Inc, 2011

A propos de cet article

Libro de 2ª mano verificado y vendido por el emprendimiento social El Club de los Raros. Con cada compra estás ayudando a plantar árboles, financiar ONGs y proyectos culturales. Libro en buen estado, puede presentar algunas marcas de desgaste por el uso. N° de réf. du vendeur ECDLR-28-07-2024-DL-T294T173-10732

Détails bibliographiques

Titre : Visualize This: The FlowingData Guide to ...

Éditeur : John Wiley & Sons Inc

Date d'édition : 2011

Reliure : Couverture souple

Etat : Satisfaisant

A propos de ce titre

Synopsis :

Practical data design tips from a data visualization expert of the modern age

Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.

• Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau
• Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers
• Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator
• Contains numerous examples and descriptions of patterns and outliers and explains how to show them

Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

À propos de l?auteur:

Nathan Yau is a PhD candidate in Statistics at UCLA and a lifelong data junkie. His goal is to make data available and useful to those who aren't necessarily data experts, and he focuses on data visualization and personal data collection. You can follow his visualization experiments at http://flowingdata.com.