Visualizing Data

Visualizing Data

by Ben Fry


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Product Details

ISBN-13: 9780596514556
Publisher: O'Reilly Media, Incorporated
Publication date: 12/01/2007
Pages: 384
Product dimensions: 6.92(w) x 9.20(h) x 0.76(d)

About the Author

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.

Table of Contents

The Audience for This Book;
Background Information;
Overview of the Book;
Safari® Books Online;
Conventions Used in This Book;
Using Code Examples;
We'd Like to Hear from You;
Chapter 1: The Seven Stages of Visualizing Data;
1.1 Why Data Display Requires Planning;
1.2 An Example;
1.3 Iteration and Combination;
1.4 Principles;
1.5 Onward;
Chapter 2: Getting Started with Processing;
2.1 Sketching with Processing;
2.2 Exporting and Distributing Your Work;
2.3 Examples and Reference;
2.4 Functions;
2.5 Sketching and Scripting;
2.6 Ready?;
Chapter 3: Mapping;
3.1 Drawing a Map;
3.2 Locations on a Map;
3.3 Data on a Map;
3.4 Using Your Own Data;
3.5 Next Steps;
Chapter 4: Time Series;
4.1 Milk, Tea, and Coffee (Acquire and Parse);
4.2 Cleaning the Table (Filter and Mine);
4.3 A Simple Plot (Represent and Refine);
4.4 Labeling the Current Data Set (Refine and Interact);
4.5 Drawing Axis Labels (Refine);
4.6 Choosing a Proper Representation (Represent and Refine);
4.7 Using Rollovers to Highlight Points (Interact);
4.8 Ways to Connect Points (Refine);
4.9 Text Labels As Tabbed Panes (Interact);
4.10 Interpolation Between Data Sets (Interact);
4.11 End of the Series;
Chapter 5: Connections and Correlations;
5.1 Changing Data Sources;
5.2 Problem Statement;
5.3 Preprocessing;
5.4 Using the Preprocessed Data (Acquire, Parse, Filter, Mine);
5.5 Displaying the Results (Represent);
5.6 Returning to the Question (Refine);
5.7 Sophisticated Sorting: Using Salary As a Tiebreaker (Mine);
5.8 Moving to Multiple Days (Interact);
5.9 Smoothing Out the Interaction (Refine);
5.10 Deployment Considerations (Acquire, Parse, Filter);
Chapter 6: Scatterplot Maps;
6.1 Preprocessing;
6.2 Loading the Data (Acquire and Parse);
6.3 Drawing a Scatterplot of Zip Codes (Mine and Represent);
6.4 Highlighting Points While Typing (Refine and Interact);
6.5 Show the Currently Selected Point (Refine);
6.6 Progressively Dimming and Brightening Points (Refine);
6.7 Zooming In (Interact);
6.8 Changing How Points Are Drawn When Zooming (Refine);
6.9 Deployment Issues (Acquire and Refine);
6.10 Next Steps;
Chapter 7: Trees, Hierarchies, and Recursion;
7.1 Using Recursion to Build a Directory Tree;
7.2 Using a Queue to Load Asynchronously (Interact);
7.3 An Introduction to Treemaps;
7.4 Which Files Are Using the Most Space?;
7.5 Viewing Folder Contents (Interact);
7.6 Improving the Treemap Display (Refine);
7.7 Flying Through Files (Interact);
7.8 Next Steps;
Chapter 8: Networks and Graphs;
8.1 Simple Graph Demo;
8.2 A More Complicated Graph;
8.3 Approaching Network Problems;
8.4 Advanced Graph Example;
8.5 Mining Additional Information;
Chapter 9: Acquiring Data;
9.1 Where to Find Data;
9.2 Tools for Acquiring Data from the Internet;
9.3 Locating Files for Use with Processing;
9.4 Loading Text Data;
9.5 Dealing with Files and Folders;
9.6 Listing Files in a Folder;
9.7 Asynchronous Image Downloads;
9.8 Using openStream( ) As a Bridge to Java;
9.9 Dealing with Byte Arrays;
9.10 Advanced Web Techniques;
9.11 Using a Database;
9.12 Dealing with a Large Number of Files;
Chapter 10: Parsing Data;
10.1 Levels of Effort;
10.2 Tools for Gathering Clues;
10.3 Text Is Best;
10.4 Text Markup Languages;
10.5 Regular Expressions (regexps);
10.6 Grammars and BNF Notation;
10.7 Compressed Data;
10.8 Vectors and Geometry;
10.9 Binary Data Formats;
10.10 Advanced Detective Work;
Chapter 11: Integrating Processing with Java;
11.1 Programming Modes;
11.2 Additional Source Files (Tabs);
11.3 The Preprocessor;
11.4 API Structure;
11.5 Embedding PApplet into Java Applications;
11.6 Using Java Code in a Processing Sketch;
11.7 Using Libraries;
11.8 Building with the Source for processing.core;

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Visualizing Data 4.3 out of 5 based on 0 ratings. 4 reviews.
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a..... has this for $26.39. My member price is higher than that ... Can you review this pricing ?