Data Points Visualization That Means Something

ISBN-10: 111846219X
ISBN-13: 9781118462195
Edition: 2013
Authors: Nathan Yau
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Description: A fresh look at visualization from the author of Visualize ThisWhether 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  More...

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Book details

List price: $39.99
Copyright year: 2013
Publisher: John Wiley & Sons, Incorporated
Publication date: 4/15/2013
Binding: Paperback
Pages: 320
Size: 7.75" wide x 9.25" long x 0.75" tall
Weight: 1.584
Language: English

A fresh look at visualization from the author of Visualize ThisWhether 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. Intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribersFocuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a tableIncludes examples from the author′s own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and moreExamines standard rules across all visualization applications, then explores when and where you can break those rulesCreate visualizations that register at all levels, with Data Points: Visualization That Means Something.

Introduction
Understanding Data
What Data Represents
Variability
Uncertainty
Context
Wrapping Up
Visualization: The Medium
Analysis and Exploration
Information Graphics and Presentation
Entertainment
Data Art
The Everyday
Wrapping Up
Representing Data
Visualization Components
Putting It Together
Wrapping Up
Exploring Data Visually
Process
Visualizing Categorical Data
Visualizing Time Series Data
Visualizing Spatial Data
Multiple Variables
Distributions
Wrapping Up
Visualizing with Clarity
Visual Hierarchy
Readability
Highlighting
Annotation
Do the Math
Wrapping Up
Designing for an Audience
Common Misconceptions
Present Data to People
Things to Consider
Putting It Together
Wrapping Up
Where to Go from Here
Visualization Tools
Programming
Illustration
Statistics
Wrapping Up
Index

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