Download or read book R Graphics Cookbook written by Winston Chang and published by O'Reilly Media. This book was released on 2018-10-25 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book R Graphics Cookbook written by Winston Chang and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Practical recipes for visualizing data"--Cover.

Download or read book Visualize This written by Nathan Yau and published by John Wiley & Sons. This book was released on 2024-04-30 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most influential data visualization books—updated with new techniques, technologies, and examples Visualize This demonstrates how to explain data visually, so that you can present and communicate information in a way that is appealing and easy to understand. Today, there is a continuous flow of data available to answer almost any question. Thoughtful charts, maps, and analysis can help us make sense of this data. But the data does not speak for itself. As leading data expert Nathan Yau explains in this book, graphics provide little value unless they are built upon a firm understanding of the data behind them. Visualize This teaches you a data-first approach from a practical point of view. You'll start by exploring what your data has to say, and then you'll design visualizations that are both remarkable and meaningful. With this book, you'll discover what tools are available to you without becoming overwhelmed with options. You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing. You'll learn to ask and answer questions with data, so that you can make charts that are both beautiful and useful. Visualize This also provides you with opportunities to apply what you learn to your own data. This completely updated, full-color second edition: Presents a unique approach to visualizing and telling stories with data, from data visualization expert Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design Details tools that can be used to visualize data graphics for reports, presentations, and stories, for the web or for print, with major updates for the latest R packages, Python libraries, JavaScript libraries, illustration software, and point-and-click applications Contains numerous examples and descriptions of patterns and outliers and explains how to show them Information designers, analysts, journalists, statisticians, data scientists—as well as anyone studying for careers in these fields—will gain a valuable background in the concepts and techniques of data visualization, thanks to this legendary book.

Download or read book R for Everyone written by Jared P. Lander and published by Pearson Education. This book was released on 2014 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to using and understanding the 'R' computer programming language.

Download or read book Data Visualisation with R written by Thomas Rahlf and published by Springer Nature. This book was released on 2019-11-23 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript. The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields. This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.

Download or read book Interactive Graphics for Data Analysis written by Martin Theus and published by CRC Press. This book was released on 2008-10-24 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets.Fundamentals of Interactive Statistical GraphicsThe first part of the book summarizes principles and methodology, demons

Download or read book Data Structures Computer Graphics and Pattern Recognition written by A. Klinger and published by Academic Press. This book was released on 2014-05-10 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures, Computer Graphics, and Pattern Recognition focuses on the computer graphics and pattern recognition applications of data structures methodology. This book presents design related principles and research aspects of the computer graphics, system design, data management, and pattern recognition tasks. The topics include the data structure design, concise structuring of geometric data for computer aided design, and data structures for pattern recognition algorithms. The survey of data structures for computer graphics systems, application of relational data structures in computer graphics, and observations on linguistics for scene analysis are also elaborated. This text likewise covers the design of satellite graphics systems, interactive image segmentation, surface representation for computer aided design, and error-correcting parsing for syntactic pattern recognition. This publication is valuable to practitioners in data structures, particularly those who are applying real computer systems to problems involving image, speech, and medical data.

Download or read book Mathematical Foundations of Scientific Visualization Computer Graphics and Massive Data Exploration written by Torsten Möller and published by Springer Science & Business Media. This book was released on 2009-06-12 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti?c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical “object” or function, ef?cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed.

Download or read book ggplot2 written by Hadley Wickham and published by Springer. This book was released on 2016-06-08 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: produce handsome, publication-quality plots with automatic legends created from the plot specification superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

Download or read book Interactive and Dynamic Graphics for Data Analysis written by Dianne Cook and published by Springer Science & Business Media. This book was released on 2007-12-12 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods. The area of int- active and dynamic data visualization emerged within statistics as part of research on exploratory data analysis in the late 1960s, and it remains an active subject of research today, as its use in practice continues to grow. It now makes substantial contributions within computer science as well, as part of the growing ?elds of information visualization and data mining, especially visual data mining. The material in this book includes: • An introduction to data visualization, explaining how it di?ers from other types of visualization. • Adescriptionofourtoolboxofinteractiveanddynamicgraphicalmethods. • An approach for exploring missing values in data. • An explanation of the use of these tools in cluster analysis and supervised classi?cation. • An overview of additional material available on the web. • A description of the data used in the analyses and exercises. The book’s examples use the software R and GGobi. R (Ihaka & Gent- man 1996, RDevelopment CoreTeam2006) isafreesoftware environment for statistical computing and graphics; it is most often used from the command line, provides a wide variety of statistical methods, and includes high–quality staticgraphics.RaroseintheStatisticsDepartmentoftheUniversityofAu- land and is now developed and maintained by a global collaborative e?ort.

Download or read book A Picture is Worth a Thousand Tables written by Andreas Krause and published by Springer Science & Business Media. This book was released on 2012-12-12 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the graphics of patient data: good graphs enabling straight¬forward and intuitive interpretation, efficient creation, and straightforward interpretation. We focus on easy access to graphics of patient data: the intention is to show a large variety of graphs for different phases of drug development, together with a description of what the graph shows, what type of data it uses, and what options there are. The main aim is to provide inspiration in form of a “graphics cookbook.” Many graphs provide creative ideas about what can be done. The book is not intended to be technical. It introduces general principles of good visualization to make readers understand the concepts, but the main focus is on the creativity and usefulness: readers are enabled to browse through the book to get ideas of how their own data can be analyzed graphically. For additional information visit Editor’s companion website: http://www.elmo.ch/doc/life-science-graphics/

Download or read book Infographics For Dummies written by Justin Beegel, MBA and published by John Wiley & Sons. This book was released on 2014-06-30 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create stunning infographics with this hands-on guide Infographics For Dummies is a comprehensive guide to creating data visualization with viral appeal. Written by the founder of Infographic World, a New York City based infographic agency, and his top designers, the book focuses on the how-to of data, design, and distribution to create stunning, shareable infographics. Step-by-step instruction allows you to handle data like a pro, while creating eye-catching graphics with programs like Adobe Illustrator and Photoshop. The book walks you through the different types of infographics, explaining why they're so effective, and when they're appropriate. Ninety percent of the information transmitted to your brain is visual, so it's important to tickle the optic nerves to get people excited about your data. Infographics do just that. Much more exciting than a spreadsheet, infographics can add humor, interest, and flash while imparting real information. Putting your data in graphic form makes it more likely to be shared via Twitter, Facebook, Pinterest, and other social media sites, and the visual interest makes it less likely to be ignored. Infographics For Dummies provides a tried-and-true method for creating infographics that tell a story and get people excited. Topics include: Talking to clients about the data Discovering trends, outliers, and patterns Designing with mood boards and wireframes Launching and promoting your infographic The book, written by Justin Beegel, MBA, founder of Infographic World, Inc., describes the elements of a successful infographic, and stresses the must-have ingredients that get your data noticed. Humans are visual creatures, telling stories in a visual way. In today's world filled with data and messaging, an infographic is one of the best ways to get your point across.

Download or read book Computer Graphics written by James D. Foley and published by Pearson Educacion. This book was released on 1997 with total page 1175 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive book on computer graphics, with examples in the C programming language. Providing a combination of concepts and practical applications, this book contains algorithms in 2D and 3D graphics for easy implementation, including a close look at the special cases. Over 100 full-color plates and over 700 figures illustrate the techniques.

Download or read book Graphics of Large Datasets written by Antony Unwin and published by Springer Science & Business Media. This book was released on 2007-06-12 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the book includes many insightful examples. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. The book is accessible to readers with some experience of drawing statistical graphics.

Download or read book Data Visualization Made Simple written by Kristen Sosulski and published by Routledge. This book was released on 2018-09-27 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Computer Graphics Programming written by Günter Enderle and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: TO COMPUTER GRAPHICS BASED ONGKS Part I gives an introduction to basic concepts of computer graph ics and to the principles and concepts of GKS. The aims of this part are twofold: to provide the beginner with an overview of the terminology and concepts of computer graphics, based on GKS, and to give the computer graphics expert an introduc tion to the GKS standard. In the early chapters of this part, the main areas of computer graphics, the various classes of com puter graphics users, the interfaces of GKS and its underlying design concepts are discussed and important terms are defined. The later chapters give an informal introduction to the main concepts of GKS and their interrelationships: output, attributes, coordinate systems, transformations, input, segments, metafile, state lists, and error handling. This introduction to the GKS framework will prepare the ground for the detailed description of 2D GKS functions in Part III and the 3D extensions to GKS in Part IV. 1 WHAT IS COMPUTER GRAPHICS? 1. 1 Defmition of Computer Graphics The Data Processing Vocabulary of the International Organization for Stan dardization (ISO) [ISO 84] defines Computer Graphics as follows: "Methods and techniques for converting data to and from a graphic display via computer. " This definition refers to three basic components of any computer graphics system - namely "data", "computer", and "display".

Download or read book Computer Graphics and Geometric Modelling written by Max K. Agoston and published by Springer Science & Business Media. This book was released on 2005-02 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second book of a two-volume work in which the author presents an overview of computer graphics as seen in the context of geometric modeling and the mathematics required to understand the subject.