Data Points: Visualization That Means Something (英語) ペーパーバック – 2013/4/15
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A fresh look at visualization from the author of VisualizeThis
Whether it's statistical charts, geographic maps, or the snappygraphical statistics you see on your favorite news sites, the artof data graphics or visualization is fast becoming a movement ofits own. In Data Points: Visualization That Means Something,author Nathan Yau presents an intriguing complement to hisbestseller Visualize This, this time focusing on thegraphics side of data analysis. Using examples from art, design,business, statistics, cartography, and online media, he exploresboth standard-and not so standard-concepts and ideas aboutillustrating data.
- Shares intriguing ideas from Nathan Yau, author of VisualizeThis and creator of flowingdata.com, with over 66,000subscribers
- Focuses on visualization, data graphics that help viewers seetrends and patterns they might not otherwise see in a table
- Includes examples from the author's own illustrations, as wellas 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 DataPoints: Visualization That Means Something.
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)商品の説明をすべて表示する
He found helpful ideas in this book. The graphics are wonderful, quality of the book visually is excellent. The author has a PhD in statistics from UCLA and has a site at FlowingData. Some of the content in this book includes: *discover what data is and what you can learn from it *learn how to explore your data, find the story, and bring it to life *understand visualization that lets you present and express meaning in data *tap into your creative side and determine the most effective way to tell your story *compare tools for exploration and analysis *allow data, the story, and your goals to dictate visualization techniques with geometry, charts, maps, color, art and humor.
This book was helpful for his needs, and he is pleased with it.
A solidly useful work, hence three stars, but misses its full potential
I also have Yau's first book. This is a better book, both from writing technique and organization and content perspective. The first book had specific code examples, where this book focuses more on high-level concepts that can be applied to all graphics.
I would like to see a one-page tear-out "cheat sheet" summary of the recommendations in future editions.
Obviously recommended. -- also check out flowingdata.com if you want to see excerpts and style.
But who was this book written for? Not for data analysts, whose primary tools is graphs and tables. The vast majority of the examples in this book are strange visualizations that you can't create easily in Excel or PowerPoint: chloropleth maps, sankey diagrams, astronomical maps.
Not for data visualization students. The commentary and analysis of each piece is poor, more like rambling banter than any serious attempt to break things down into their core principles that can be applied to their practical work.
Not for artists of infographics, again because there are few core principles shared (in fact, Yau seems to be saying "there are no hard and fast rules!", perhaps to distance himself from dogmatic writers like Tufte and Few) and no graphic design tips and tricks that would help you emulate these beautiful graphics.
So who is the audience? It reads like a series of lengthy blog posts, with Yau yammering on about something only he cares about. I finished the book and my primary thought was "what did I just learn?" The unfortunate answer - nothing.