Visualizing Data (英語) ペーパーバック – 2007/12/1
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Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.
How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing".
Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:
- The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact
- How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details
- Several example projects with the code to make them work
- Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set
Ben Fry received his doctorate from the Aesthetics + Computation Group at the MIT Media Laboratory and was the 2006-2007 Nierenberg Chair of Design for the Carnegie Mellon School of Design. He worked with Casey Reas to develop Processing, which won a Golden Nica from the Prix Ars Electronica in 2005. Ben's work has received a New Media Fellowship from the Rockefeller Foundation, and been shown at the Museum of Modern Art, Ars Electronica, the 2002 Whitney Biennial and the 2003 Cooper Hewitt Design Triennial.
I should repeat that this is not merely a Processing tutorial. If it were, it would fall short on a number of counts, including using a number of commands without adequately explaining them, and omitting discussion of things that a Processing programmer is likely to need to know. This is still a good introduction to the language, though (it was my introduction) and offers enough insight into what the language and environment can do without getting too bogged down in the mechanics or design philosophy.
displays of data, then I can think of no better book for you than this one. It discusses
the why as well as the how, and provides code examples and some images of the results.
What I liked about this book, beside the concrete examples, are the discussions about
how to think about each step of the process from selecting the data through to the final
step of refining the display. There are issues that are not obvious to the graphical
display newbie, and they are brought up, and a good approach given.
On the other hand, if you are a programmer who is already writing sophisticated
graphical displays, and looking for a language neutral book on general design, then
this will probably not be a satisfying purchase.
In particular the use of java for a whole lot of tasks including text parsing and data mining leads to very tedious and verbose code where a few lines of perl or awk would have done the job.
Overall this is a good book if you are somewhat new to programming. Else this will make for too short a read.