Visualize This

Author: Nathan Yau
Publisher: John Wiley & Sons
ISBN: 1118140265
Size: 60.29 MB
Format: PDF
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Practical data design tips from a data visualization expert ofthe modern age Data doesn?t decrease; it is ever-increasing and can beoverwhelming to organize in a way that makes sense to its intendedaudience. Wouldn?t it be wonderful if we could actually visualizedata in such a way that we could maximize its potential and tell astory in a clear, concise manner? Thanks to the creative genius ofNathan Yau, we can. With this full-color book, data visualizationguru and author Nathan Yau uses step-by-step tutorials to show youhow to visualize and tell stories with data. He explains how togather, parse, and format data and then design high qualitygraphics that help you explore and present patterns, outliers, andrelationships. Presents a unique approach to visualizing and telling storieswith data, from a data visualization expert and the creator offlowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips forcreating statistical graphics, geographical maps, and informationdesign to find meaning in the numbers Details tools that can be used to visualize data-nativegraphics for the Web, such as ActionScript, Flash libraries, PHP,and JavaScript and tools to design graphics for print, such as Rand Illustrator Contains numerous examples and descriptions of patterns andoutliers and explains how to show them Visualize This demonstrates how to explain data visually so thatyou can present your information in a way that is easy tounderstand and appealing.

Data Points

Author: Nathan Yau
Publisher: John Wiley & Sons
ISBN: 1118654935
Size: 39.68 MB
Format: PDF, Docs
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A fresh look at visualization from the author of VisualizeThis Whether it's statistical charts, geographic maps, or the snappygraphical statistics you see on your favorite news sites, the artof data graphics or visualization is fast becoming a movement ofits own. In Data Points: Visualization That Means Something,author Nathan Yau presents an intriguing complement to hisbestseller Visualize This, this time focusing on thegraphics side of data analysis. Using examples from art, design,business, statistics, cartography, and online media, he exploresboth standard-and not so standard-concepts and ideas aboutillustrating data. Shares intriguing ideas from Nathan Yau, author of VisualizeThis and creator of flowingdata.com, with over 66,000subscribers Focuses on visualization, data graphics that help viewers seetrends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as wellas 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 DataPoints: Visualization That Means Something.

Flowingdata Com Data Visualization Set

Author: Nathan Yau
Publisher: John Wiley & Sons
ISBN: 1118919882
Size: 47.19 MB
Format: PDF
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Visualize This is a guide on how to visualize and tellstories with data, providing practical design tips complementedwith step-by-step tutorials. It begins with a description of thehuge growth of data and visualization in industry, news, and gov'tand opportunities for those who tell stories with data. Logicallyit moves on to actual stories in data-statistical ones with trendsand human stories. the technical part comes up quickly with how togather, parse and format data with Python, R, Excel, Google docs,etc and details tools to visualize data-native graphics for the Weblike ActionScript, Flash libraries, PHP, JavaScript, CSS, HTML.Every chapter provides an example as well. Patterns over time andkinds of data charts are followed by proportions, chart types andexamples. Next, examples and descriptions of outliers and how toshow them, different kinds of maps, how to guide your readers andexplain the data "in the visualization". The book ends with avalue-add appendix on graphical perception. Data Points focuses on the approach to visualization anddata. Visualization is a medium that can be used as a tool, art, away to tell stories, etc., Data Points guides readersthrough making data approachable through visualization techniquesand best practices. The focus is on designing with a purpose inmind. Data Points discusses why recipes (from the rules)work and expands on how readers can make their own recipes. Thebook is example-driven, featuring work from people in areas of art,design, business, statistics, computer science, cartography, andonline media, as well as many of the author's own illustrations.The major sections of the book cover: Visualization as Medium -- In the same way not all movies aredocumentaries, not all visualization is about optimal visualperception. Data Representation -- There are rules across allvisualization applications, such as the use of appropriate shapesto accurately represent values. Design with Purpose -- Rules can be broken though. It alldepends on who and what you're designing for. Data Points digs deep into the foundations of datavisualization: Understanding Data and Visualization Representing Data Exploring Data Visually Designing for an Audience Visualizing with Clarity Putting Everything Into Practice with Tools and Resources

The Essential R Reference

Author: Mark Gardener
Publisher: John Wiley & Sons
ISBN: 1118391381
Size: 56.61 MB
Format: PDF
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An essential library of basic commands you can copy and pasteinto R The powerful and open-source statistical programming language Ris rapidly growing in popularity, but it requires that you type incommands at the keyboard rather than use a mouse, so you have tolearn the language of R. But there is a shortcut, and that's wherethis unique book comes in. A companion book to Visualize This:The FlowingData Guide to Design, Visualization, and Statistics,this practical reference is a library of basic R commands that youcan copy and paste into R to perform many types of statisticalanalyses. Whether you're in technology, science, medicine, business, orengineering, you can quickly turn to your topic in this handy bookand find the commands you need. Comprehensive command reference for the R programming languageand a companion book to Visualize This: The FlowingData Guide toDesign, Visualization, and Statistics Combines elements of a dictionary, glossary, and thesaurus forthe R language Provides easy accessibility to the commands you need, by topic,which you can cut and paste into R as needed Covers getting, saving, examining, and manipulating data;statistical test and math; and all the things you can do withgraphs Also includes a collection of utilities that you'll finduseful Simplify the complex statistical R programming language withThe Essential R Reference. .

Data Visualization Made Simple

Author: Kristen Sosulski
Publisher: Routledge
ISBN: 135138077X
Size: 13.30 MB
Format: PDF, ePub, Docs
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Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.

Pro Javascript Performance

Author: Tom Barker
Publisher: Apress
ISBN: 1430247495
Size: 62.38 MB
Format: PDF, Mobi
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Performance is a hugely important area of web development. If your site runs slowly, users are going to leave, and the problem only grows as your site gets more popular. Pro JavaScript Performance gives you the tools you need to keep your sites smooth and responsive no matter how many users you have. Best practices are changing or becoming redefined continually because of changes and optimizations at the interpreter level, and differences in system configuration, and network speeds. This is exacerbated by the quickened release schedule that most browsers have adopted. Just as important as following best practices is the ability to measure your own performance, so that you can adjust as times change, and so that you can note the subtle nuances in your own code and define your own best practices by your own observations. This book gives you the tools to observe and track the performance of your web applications over time from multiple perspectives, so that you are always aware of, and can fix, all aspects of your performance. What you’ll learn Describes the different aspects of performance, and explores the tools for quantifying and improving performance Provides tactical solutions for creating tools to measure the performance of your own web applications Learn to apply performance best practices, and how to quantify your results Who this book is for Pro JavaScript Performance is written for advanced JavaScript users and web developers. You will need a strong understanding of JavaScript to get the most from this book.

Information Visualization Techniques In The Social Sciences And Humanities

Author: Osinska, Veslava
Publisher: IGI Global
ISBN: 1522549919
Size: 77.12 MB
Format: PDF, ePub, Mobi
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The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances in emerging technology have allowed for new methods of representing such conceptual data. Information Visualization Techniques in the Social Sciences and Humanities is a critical scholarly resource that examines the application of information visualization in the social sciences and humanities. Featuring coverage on a broad range of topics such as social network analysis, complex systems, and visualization aesthetics, this book is geared towards professionals, students, and researchers seeking current research on information visualization.

Designing Data Visualizations

Author: Noah Iliinsky
Publisher: "O'Reilly Media, Inc."
ISBN: 1449317065
Size: 69.37 MB
Format: PDF, ePub, Mobi
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Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process. Learn data visualization classifications, including explanatory, exploratory, and hybrid Discover how three fundamental influences—the designer, the reader, and the data—shape what you create Learn how to describe the specific goal of your visualization and identify the supporting data Decide the spatial position of your visual entities with axes Encode the various dimensions of your data with appropriate visual properties, such as shape and color See visualization best practices and suggestions for encoding various specific data types

Modeling Techniques In Predictive Analytics With Python And R

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Size: 17.41 MB
Format: PDF, ePub
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Evaluation Theory Models And Applications

Author: Daniel L. Stufflebeam
Publisher: John Wiley & Sons
ISBN: 1118870220
Size: 12.89 MB
Format: PDF, ePub, Mobi
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The golden standard evaluation reference text Now in its second edition, Evaluation Theory, Models, andApplications is the vital text on evaluation models, perfectfor classroom use as a textbook, and as a professional evaluationreference. The book begins with an overview of the evaluation fieldand program evaluation standards, and proceeds to cover the mostwidely used evaluation approaches. With new evaluation designs andthe inclusion of the latest literature from the field, thisSecond Edition is an essential update for professionals andstudents who want to stay current. Understanding and choosingevaluation approaches is critical to many professions, andEvaluation Theory, Models, and Applications, Second Editionis the benchmark evaluation guide. Authors Daniel L. Stufflebeam and Chris L. S. Coryn, widelyconsidered experts in the evaluation field, introduce and describe23 program evaluation approaches, including, new to this edition,transformative evaluation, participatory evaluation, consumerfeedback, and meta-analysis. Evaluation Theory, Models, andApplications, Second Edition facilitates the process ofplanning, conducting, and assessing program evaluations. Thehighlighted evaluation approaches include: Experimental and quasi-experimental design evaluations Daniel L. Stufflebeam's CIPP Model Michael Scriven's Consumer-Oriented Evaluation Michael Patton's Utilization-Focused Evaluation Robert Stake's Responsive/Stakeholder-Centered Evaluation Case Study Evaluation Key readings listed at the end of each chapter direct readers tothe most important references for each topic. Learning objectives,review questions, student exercises, and instructor supportmaterials complete the collection of tools. Choosing fromevaluation approaches can be an overwhelming process, butEvaluation Theory, Models, and Applications, Second Editionupdates the core evaluation concepts with the latest research,making this complex field accessible in just one book.