Revue de presse
A detailed handbook, Data Points is especially useful for those working on scientific data visualization, guiding the reader through fascinating examples of data, graphics, context, presentation and analytics. But this is more than a mere how–to manual. Yau reminds us that the real purpose of most visualization work is to communicate data to pragmatic ends.
(Nature, May 2013) Ultimately, I would recommend this book for anyone interested in the process of design and analysis. It is about making sense of data and that is becoming a crucial skill in this digital age.
(Madia Information & Technology Journal, August 2013)
Data Points opens an exciting view of information blending data analysis, visual interaction, and digital storytelling the visuals are stunning. (Managing Information, October 2013)
Présentation de l'éditeur
A fresh look at visualization from the author of Visualize This
Whether it′s statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard–and not so standard–concepts and ideas about illustrating data.
- Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers
- Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table
- Includes examples from the author′s own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more
- Examines standard rules across all visualization applications, then explores when and where you can break those rules
Create visualizations that register at all levels, with Data Points: Visualization That Means Something.