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Visualizing Data: Exploring and Explaining Data with the Processing Environment [Kindle Edition]

Ben Fry
5.0 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)

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Produktbeschreibungen

Kurzbeschreibung

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
The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.

Synopsis

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.

Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 3298 KB
  • Seitenzahl der Print-Ausgabe: 386 Seiten
  • ISBN-Quelle für Seitenzahl: 0596514557
  • Gleichzeitige Verwendung von Geräten: Keine Einschränkung
  • Verlag: O'Reilly Media; Auflage: 1 (18. Dezember 2007)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B0028N4WJC
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)
  • Amazon Bestseller-Rang: #252.065 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

  •  Ist der Verkauf dieses Produkts für Sie nicht akzeptabel?

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0 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Hervorragende, vertiefte Einführung in Processing 5. Oktober 2011
Von BB
Format:Taschenbuch
Das Buch richtet sich an Anwender von Processing, die die Grundlagen schon kennen (z.B. "Getting Started With Processing") und nun ein grösseres Visualisierungsprojekt an die Hand nehmen wollen. Dabei werden die 7 Schritte der Visualisierung sehr gut und präzise dargestellt und anhand von grösseren Beispielen, die immer weiter verfeinert werden, ausführlich erklärt. Ebenso wird in den Beispielen jeweils auf den 7-Schritte-Prozess Bezug genommen. Die Sprache (Englisch) ist nicht zu kompliziert, dabei präzise und leicht zu lesen.
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1 von 3 Kunden fanden die folgende Rezension hilfreich
Von unixgeek
Format:Taschenbuch
Sehr gute Einführung. Umfangreiche Beispiele von sehr guter Qualität. Processing, eine freie Programmierumgebung (vereinfachtes Java) für grafische Anwendungen, ist eine hervorragende Möglichkeit Daten einfach statisch, dynamisch und interaktiv darzustellen. Tolles Buch!
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Amazon.com: 4.0 von 5 Sternen  27 Rezensionen
128 von 141 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Mixed feelings 3. Februar 2008
Von Salvatore R. Mangano - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
This book allowed me to quickly create some simple applications using the processing API. So, in that respect, the book was successful. However, the book falls short in three respects.

1) One would expect a book with the title "Visualizing Data" to be crammed with pictures showing many different data visualizations. However, this book has relatively few. Every colleague of mine who passed by my desk and picked up the book had the exact same reaction.

2) The processing language is touted as a means for people unfamiliar with programming to get up to speed with visualization. However, I would be very surprised if anyone with little programming experience would get much out of this book.

3) Don't expect to use this book as a reference for the processing language. It is basically just a collection of half explained examples. Consider for example the function smooth(). This function appears in almost every example but forget about trying to find an explanation of what the function does in the book.

The book is probably worth buying to get up to speed quickly but plan on spending a significant amount of time sifting through the processing.org website and other online resources before being able to get anything non-trivial done. And if you don't already know Java then don't expect to accomplish anything even modestly complex without a lot of outside help.
51 von 58 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen Little more than a Processing Environment tutorial 20. Februar 2008
Von Samuel Crank - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
Based on the title and publisher's writeup I was expecting the book to provide in-depth coverage of various visual metaphors for understanding and manipulating data, such as "Designing Interfaces" by Tidwell, another O'Reilly book that I am very pleased with.

Unfortunately it would be more appropriate if the title (Visualizing Dta) and sub-title (Exploring and Explaining Data with the Processing Environment) were switched. This book is primarily a tutorial on using the Processing Environment ([...] showing you how to create various interactive charts and composed primarily of code examples.

In addition, the visualizations presented in the book are far from aesthetically pleasing. The Processing Environment has the capability to create visualizations that are not only functional, but beautiful as well. You can find a collection of visualizations at [...] many of which were created with the Processing Environment.

In summary I am granting a 2-star rating because the book does not deliver the expected coverage of data visualization design and even in its explanation of the Processing Environment does not provide exemplary visualizations.
50 von 59 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Outstanding 22. Januar 2008
Von Andrew Otwell - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
This is an exceptionally good book on a specialist topic by one of my design heroes. Where most data visualization books present either pages of (often quite ugly) charts and diagrams, but with no tools to create them, Fry manages here to combine both programming skills and a real understanding of design. It's the rare book that manages to do two disciplines really well. Though it's full of code, Visualizing Data is so much more than a technical manual.

This is definitely a programming book; I agree with another reviewer here that if you're already comfortable with Java you'll find this much easier going. But Fry builds his code examples up sensibly, and explains what's going on. A smart Flash developer or Processing dabbler (like me) really won't have any trouble following along. The examples move from simple plotting of points, to time-based animation, to complex correlation, and into more complex visualizations. And it's not just drawing pixels: there are long and useful sections on data acquisition techniques, approaches to parsing and formatting data. Luckily, Fry's a really good writer, and is able to keep these topics from getting dull.

But the great thing about Visualizing Data is that it's also a *design* book--a real one--with thoughtful considerations about use of color, typography, and the "feel" of interaction. Fry's data visualizations are worthy of being in any of Edward Tufte's books. I nearly stood up and cheered when Fry took a few paragraphs in the middle of a code explanation to talk about why the em-dash character and non-lining numerals made the typography of a particular example better. That level of detail is, I think, totally absent from any other book like this.
10 von 11 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Great book, bad title 23. Mai 2008
Von Jerome Cukier - Veröffentlicht auf Amazon.com
Format:Taschenbuch
I'm short of superlatives for this book or more generally for the work of Ben Fry.

In my line of work, how people think of graphs is very much influenced by what is possible to do in Excel without changing the default settings too much.
Enter Processing, a data visualization-oriented language, which makes it easy to create custom visualizations, tailored for the problem you want to address. There is a growing community around Processing and a number of truly incredible graphs that have been created with just a few lines of code. Ben Fry's own work, which ranges from simplistic to very sophisticated, is nothing short of mind-blowing. Yet this book demystifies this and make it all look accessible.

It opens great perspectives for anyone interested in expressing their data graphically. Still, the title is misleading.

This is not a book about, say, editorial rules by which one should construct a visualization. It is not an abstract book that offers generic advice that can be used in whatever environment. For that kind of book, pick Show Me the Numbers: Designing Tables and Graphs to Enlighten or The Visual Display of Quantitative Information, 2nd edition - books which are consistent with Fry's approach, by the way. "Visualizing Data" is really a practical cookbook that will introduce you to Processing. It offers methodological insights, but which are mostly relevant in the Processing environment.

That being said, I highly recommend this book and keeping a close tab on [..]
6 von 6 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen thoughtful and fairly useful 17. März 2009
Von John Murphy - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
It's important to remember that this book is not as general as it first appears. The discussions in it can be applied to another environment like Matlab or R, but not the examples. However, it is not merely a Processing tutorial. It does a good job of layout out the stages that one must go through in the process of creating a visualization from a dataset. Fry lays out the basic steps at the beginning, then goes through them repeatedly in a number of very different applications. Following along is relatively easy, though I really wish the author had provided a single URL to go get everything rather than give out URLs piecemeal throughout the book.

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.
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