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Data Points : Visualization That Means Something by Nathan Yau (2013, Trade...
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N.º de artículo de eBay:355449345551
Características del artículo
- Estado
- ISBN
- 9781118462195
Acerca de este producto
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
111846219X
ISBN-13
9781118462195
eBay Product ID (ePID)
4038506782
Product Key Features
Number of Pages
320 Pages
Publication Name
Data Points : Visualization That Means Something
Language
English
Subject
Mathematical & Statistical Software, Graphic Methods, Data Visualization
Publication Year
2013
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
22.4 Oz
Item Length
9.2 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Trade
Dewey Edition
23
Reviews
'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), '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), 'A detailed handbook, Data Points is espeÂcially useful for those working on scientific data visualization, guiding the reader through fascinatÂing examples of data, graphÂics, context, presentation and analytics. But this is more than a mere how-to manual. Yau reminds us that the real purpose of most visualizaÂtion 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), "Data Points opens an exciting view of information blending data analysis, visual interaction, and digital storytelling... the visuals are stunning." (Managing Information, October 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." (Media Information & Technology Journal, August 2013) "A detailed handbook, Data Points is espe??cially useful for those working on scientific data visualization, guiding the reader through fascinat??ing examples of data, graph??ics, context, presentation and analytics. But this is more than a mere how-to manual. Yau reminds us that the real purpose of most visualiza??tion work is to communicate data to pragmatic ends." (Nature, May 2013)
Illustrated
Yes
Dewey Decimal
001.4226
Table Of Content
Introduction xi 1 Understanding Data 1 What Data Represents 2 Variability 20 Uncertainty 30 Context 35 Wrapping Up 41 2 Visualization: The Medium 43 Analysis and Exploration 45 Information Graphics and Presentation 58 Entertainment 69 Data Art 74 The Everyday 81 Wrapping Up 89 3 Representing Data 91 Visualization Components 93 Putting It Together 115 Wrapping Up 132 4 Exploring Data Visually 135 Process 136 Visualizing Categorical Data 143 Visualizing Time Series Data 154 Visualizing Spatial Data 165 Multiple Variables 176 Distributions 193 Wrapping Up 199 5 Visualizing with Clarity 201 Visual Hierarchy 202 Readability 205 Highlighting 221 Annotation 228 Do the Math 236 Wrapping Up 239 6 Designing for an Audience 241 Common Misconceptions 242 Present Data to People 254 Things to Consider 258 Putting It Together 268 Wrapping Up 273 7 Where to Go from Here 277 Visualization Tools 278 Programming 283 Illustration 288 Statistics 289 Wrapping Up 289 Index 291
Synopsis
A fresh look at visualization from the author of Visualize This Whether 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., Reveal the story your data has to tell To create effective data visualizations, you must be part statistician, part designer, and part storyteller. In his bestselling book Visualize This , Nathan Yau introduced you to the tools and programming techniques for visualization. Now, in Data Points , he explores the thinking process that helps you create original, meaningful visualizations that your audience will both understand and remember. Here's how to make your data mean something. 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 as a medium 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, traditional charts, maps, color, art, and even humor, A fresh look at visualization from the author of Visualize This Whether 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. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as 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 Data Points: Visualization That Means Something .
LC Classification Number
QA90
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