Visualizing Data

Exploring and Explaining Data with the Processing Environment
Author: Ben Fry
Publisher: "O'Reilly Media, Inc."
ISBN: 0596519303
Category: Computers
Page: 382
View: 3857

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Provides information on the methods of visualizing data on the Web, along with example projects and code.

Visualize This!


Author: Nathan Yau
Publisher: John Wiley & Sons
ISBN: 3527760229
Category: Statistics / Graphic methods / Data processing
Page: 422
View: 8521

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A guide on how to visualise and tell stories with data, providing practical design tips complemented with step-by-step tutorials.

Visualizing Data Patterns with Micromaps


Author: Daniel B. Carr,Linda Williams Pickle
Publisher: CRC Press
ISBN: 9781420075748
Category: Mathematics
Page: 182
View: 9277

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After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data. After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked, conditioned, and comparative micromap designs. To compare and contrast their purposes, limitations, and strengths, the final chapter applies all three of these techniques to the same demographic data for Louisiana before and after Hurricanes Katrina and Rita. Supplementary website Offering numerous ancillary features, the book’s website at http://mason.gmu.edu/~dcarr/Micromaps/ provides many boundary files and real data sets that address topics, such species biodiversity and alcoholism. One complete folder of data examples presents cancer statistics, risk factors, and demographic data. The site includes CCmaps, the dynamic implementation of conditioned micromaps written in Java, as well as a link to a generalized micromaps program. It also contains R functions and scripts for linked and comparative micromaps, enabling re-creation of all the corresponding examples in the book.

Das BilderBuch -

des nützlichen und unnützen Wissens
Author: David McCandless
Publisher: Albrecht Knaus Verlag
ISBN: 3641091993
Category: Political Science
Page: 256
View: 4998

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Sehen und verstehen – was Sie in diesem Buch entdecken, wird Ihnen nicht mehr aus dem Kopf gehen. Noch nie war Wissen so schön anzusehen. Noch nie waren Zusammenhänge so leicht zu durchschauen. Das Visualisierungsgenie David McCand less erschafft aus Zahlen, Daten und Fakten einzigartige und unvergessliche Grafiken und Bilder, die unsere Synapsen zum Schwingen bringen. In welchem Land werden die meisten Bücher gelesen? Welcher Bart passt zu welchem Gesicht? Welche Musikstile beeinflussen sich wie? Welche Moralvorstellungen verbinden sich mit welcher Religion? Was verbraucht mehr Kalorien: Blümchensex oder Lesen? Welche alternativen Heilmethoden haben welche wissenschaftliche Evidenz? David McCandless ist einer der angesagtesten Informationsdesigner und gehört zu einer neuen Generation von Journalisten. Er setzt spannende Fakten ebenso überzeugend ins Bild wie komplizierte Zusammenhänge. Mithilfe von Farben und Formen macht er Wissen sichtbar. So entsteht aus über einhundert originellen Bildern ein Kaleidoskop aus nützlichem und unnützem Wissen, das einfach Spaß macht. Hoher Spaßfaktor! Ein »Lesegenuss« voller Anregungen und Überraschungen, bestens als Geschenk geeignet.

R Graphics Cookbook

Practical Recipes for Visualizing Data
Author: Winston Chang
Publisher: O'Reilly Media
ISBN: 1491978570
Category: Computers
Page: 444
View: 9729

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This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference. Use R’s default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and more Provide annotations to help viewers interpret data Control the overall appearance of graphics Explore options for using colors in plots Create network graphs, heat maps, and 3D scatter plots Get your data into shape using packages from the tidyverse

Visualizing Data Structures


Author: Rhonda Hoenigman
Publisher: Lulu Press, Inc
ISBN: 1329133021
Category: Computers
Page: 149
View: 7156

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This book is intended for an introductory data structures class, either as a supplement to a traditional textbook or as a stand-alone resource. The intended audience is second-semester computer science students with knowledge of programming in C or C++. The focus is on fundamental concepts of data structures and algorithms and providing the necessary detail for students to implement the data structures presented. Basic data structures, including arrays, stacks, queues, linked lists, trees, binary search trees, tree balancing, hash tables, and graphs are presented, including the operations on those data structures. The algorithms are presented in a language that could be called “pseudocode with C++ tendencies.” In many cases, basic C++ is also provided. Sorting algorithms and an introduction to complexity analysis and Big-Oh notation are also included. Each chapter includes numerous pictures depicting the data structures and how the basic operations on the structures modify their contents.

Visual Intelligence

Microsoft Tools and Techniques for Visualizing Data
Author: Mark Stacey,Joe Salvatore,Adam Jorgensen
Publisher: John Wiley & Sons
ISBN: 1118417526
Category: Computers
Page: 400
View: 9088

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Go beyond design concepts and learn to build state-of-the-art visualizations The visualization experts at Microsoft's Pragmatic Works have created a full-color, step-by-step guide to building specific types of visualizations. The book thoroughly covers the Microsoft toolset for data analysis and visualization, including Excel, and explores best practices for choosing a data visualization design, selecting tools from the Microsoft stack, and building a dynamic data visualization from start to finish. You'll examine different types of visualizations, their strengths and weaknesses, and when to use each one. Data visualization tools unlock the stories within the data, enabling you to present it in a way that is useful for making business decisions This full-color guide introduces data visualization design concepts, then explains the various Microsoft tools used to store and display data Features a detailed discussion of various classes of visualizations, their uses, and the appropriate tools for each Includes practical implementations of various visualizations and best practices for using them Covers out-of-the-box Microsoft tools, custom-developed illustrations and implementations, and code examples Visual Intelligence: Microsoft Tools and Techniques for Visualizing Data arms you with best practices and the knowledge to choose and build dynamic data visualizations.

Graphische Semiologie

Diagramme, Netze, Karten
Author: Jacques Bertin
Publisher: Walter de Gruyter
ISBN: 3110834901
Category: Science
Page: 430
View: 6601

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Data Visualisation

A Handbook for Data Driven Design
Author: Andy Kirk
Publisher: SAGE
ISBN: 1473966310
Category: Computers
Page: 368
View: 9222

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Voted one of the 'six best books for data geeks' by The Financial Times. Read the review here Lecturers, request your electronic inspection copy Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design. Benefits of this book: A flexible step-by-step journey that equips you to achieve great data visualization A curated collection of classic and contemporary examples, giving illustrations of good and bad practice Examples on every page to give creative inspiration Illustrations of good and bad practice show you how to critically evaluate and improve your own work Advice and experience from the best designers in the field Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

Visualizing Data with Microsoft Power View (SET 2)


Author: Brian Larson,Mark Davis,Dan English,Paul Purington
Publisher: McGraw Hill Professional
ISBN: 0071780831
Category: Computers
Page: 338
View: 6192

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Reveals how to build rich BI reports with just a few clicks using Crescent, Microsoft’s newest BI tool Technical review by Microsoft’s Crescent team and Foreword by Group Program Manager for Crescent Complete, practical examples are immediately usable to readers in a commercial environment CD-ROM contains 30+ reusable reports, all code samples, and supporting animations that walk thru each example

Infographics

Designing and Visualizing Data
Author: Wang Shaoqiang
Publisher: Promopress
ISBN: 9788416504923
Category: Computers
Page: 240
View: 4858

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The use of infographics has acquired a significant role in the management of information to explain complex contexts in an easy to understand way. After selling out our first HB edition in a short time, we have decided to make this reference sourcebook available to a wider audience.

Data Visualization For Dummies


Author: Michael Alexander,Mico Yuk,Stephanie Diamond
Publisher: John Wiley & Sons
ISBN: 1118502892
Category: Computers
Page: 256
View: 7370

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Provides information on effectively analyzing and displaying data.

Handbook of Data Visualization


Author: Chun-houh Chen,Wolfgang Karl Härdle,Antony Unwin
Publisher: Springer Science & Business Media
ISBN: 9783540330370
Category: Computers
Page: 936
View: 4216

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Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.

Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality

Data Visualization, Spatialization, and Multidimensionality
Author: Hai-Jew, Shalin
Publisher: IGI Global
ISBN: 146664463X
Category: Education
Page: 349
View: 5153

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With higher education turning towards data analytics as the next big advance in technology, it is important to look at how information is gathered and visualized for accurate comprehension, analysis, and decision-making. Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality brings together effective practices for the end-to-end capture and web based presentation of information for comprehension, analysis, and decision-making. This publication is beneficial for educators, trainers, instructional designers, web designers, and graduate students interested in improving analytical tools.

Visualize This

The FlowingData Guide to Design, Visualization, and Statistics
Author: Nathan Yau
Publisher: John Wiley & Sons
ISBN: 1118140265
Category: Computers
Page: 384
View: 4771

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Practical data design tips from a data visualization expert of the modern age Data doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships. Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

JavaScript and jQuery for Data Analysis and Visualization


Author: Jon Raasch,Graham Murray,Vadim Ogievetsky,Joseph Lowery
Publisher: John Wiley & Sons
ISBN: 1118847229
Category: Computers
Page: 452
View: 7818

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Go beyond design concepts—build dynamic data visualizations using JavaScript JavaScript and jQuery for Data Analysis and Visualization goes beyond design concepts to show readers how to build dynamic, best-of-breed visualizations using JavaScript—the most popular language for web programming. The authors show data analysts, developers, and web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. They also demonstrate the use of each technique with real-world use cases, showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization. All of the key techniques and tools are explained in this full-color, step-by-step guide. The companion website includes all sample codes used to generate the visualizations in the book, data sets, and links to the libraries and other resources covered. Go beyond basic design concepts and get a firm grasp of visualization approaches and techniques using JavaScript and jQuery Discover detailed, step-by-step directions for building specific types of data visualizations in this full-color guide Learn more about the core JavaScript and jQuery libraries that enable analysis and visualization Find compelling stories in complex data, and create amazing visualizations cost-effectively Let JavaScript and jQuery for Data Analysis and Visualization be the resource that guides you through the myriad strategies and solutions for combining analysis and visualization with stunning results.

Pro Data Visualization Using R and JavaScript


Author: Tom Barker
Publisher: Apress
ISBN: 1430258063
Category: Computers
Page: 216
View: 2009

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Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually. With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations. Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. What you’ll learn A rich understanding of how to gather, and analyze empirical data How to tell a story with data using data visualizations What types of data visualizations are best to use for the story that you want to tell with your data A comprehensive introduction to the R language, covering all the essentials Exploration of how to construct interactive data visualizations using JavaScript and JavaScript libraries Who this book is for Developers at all levels interested in data visualization, beginning to intermediate engineering managers, statisticians, mathematicians, economists and any others interested in data visualization. Table of Contents Techniques for Data Visualization The R Language A Deeper Dive into R Data Visualization with D3 Visualizing Spatial Information from Access Logs (Data Maps) Visualizing Defects over Time (Time Series) Bar Charts Correlation Analysis with Team Dynamics (Scatterplot and Bubble Chart) Balancing Delivery with Quality (Parallel Coordinates Chart)