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| Author | : Will Schroeder |
| Publisher | : Prentice Hall |
| Total Pages | : 688 |
| Release | : 1998 |
| Genre | : Computers |
| ISBN | : |
This Java-built "Visualization Toolkit (VTK)" will enable readers to represent any set of data--medical, scientific, or financial--in 3D. Users will learn to build 3D Java applets with the VTK software on the CD-ROM. The book covers Web applications like VRML, Java, and Java3D.
| Author | : Jonathan Schwabish |
| Publisher | : Columbia University Press |
| Total Pages | : 464 |
| Release | : 2021-02-09 |
| Genre | : Computers |
| ISBN | : 0231550154 |
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
| Author | : Braden Kelley |
| Publisher | : Springer |
| Total Pages | : 230 |
| Release | : 2016-03-31 |
| Genre | : Business & Economics |
| ISBN | : 1137536977 |
Research shows that up to seventy percent of all change initiatives fail. Let's face it, change is hard, as is getting an organization on board and working through the process. One thing that has been known to be effective is onboarding teams not only to understand this change, but to see the process and the progress of institutional change. Charting Change will help teams and companies visualize this complicated process. Kelley has developed the Change Planning Canvas, which enables leadership and project teams to easily discuss the variable that will influence the change effort and organize them in a collaborative and visual way. It will help managers build a cohesive approach that can be more easily embraced by employees who are charged with the actual implementation of change. This book will teach readers how to use this visual toolkit to build a common language and vision for implementing change.
| Author | : Nathan Yau |
| Publisher | : John Wiley & Sons |
| Total Pages | : 431 |
| Release | : 2011-06-13 |
| Genre | : Computers |
| ISBN | : 1118140265 |
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.
| Author | : Claus O. Wilke |
| Publisher | : O'Reilly Media |
| Total Pages | : 390 |
| Release | : 2019-03-18 |
| Genre | : Computers |
| ISBN | : 1492031054 |
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
| Author | : Laura Po |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 157 |
| Release | : 2020-03-20 |
| Genre | : Computers |
| ISBN | : 1681737264 |
Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been adopted as the established practice for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens. This book covers a wide spectrum of visualization topics, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents core concepts related to data visualization and LD technologies, techniques employed for data visualization based on the characteristics of data, techniques for Big Data visualization, tools and use cases in the LD context, and, finally, a thorough assessment of the usability of these tools under different scenarios. The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or as a primer for all those interested in LD and data visualization.
| Author | : Charles D. Hansen |
| Publisher | : Elsevier |
| Total Pages | : 1061 |
| Release | : 2011-08-30 |
| Genre | : Technology & Engineering |
| ISBN | : 0080481647 |
The Visualization Handbook provides an overview of the field of visualization by presenting the basic concepts, providing a snapshot of current visualization software systems, and examining research topics that are advancing the field. This text is intended for a broad audience, including not only the visualization expert seeking advanced methods to solve a particular problem, but also the novice looking for general background information on visualization topics. The largest collection of state-of-the-art visualization research yet gathered in a single volume, this book includes articles by a "who's who of international scientific visualization researchers covering every aspect of the discipline, including:·Virtual environments for visualization·Basic visualization algorithms·Large-scale data visualization·Scalar data isosurface methods·Visualization software and frameworks·Scalar data volume rendering·Perceptual issues in visualization·Various application topics, including information visualization.* Edited by two of the best known people in the world on the subject; chapter authors are authoritative experts in their own fields;* Covers a wide range of topics, in 47 chapters, representing the state-of-the-art of scientific visualization.
| Author | : Rae A. Earnshaw |
| Publisher | : |
| Total Pages | : 344 |
| Release | : 1993 |
| Genre | : Computers |
| ISBN | : |
During the past decade the field of computer graphics has undergone a significant evolution as the development of new tools and techniques has made possible the production of an increasingly sophisticatedand multifaceted array of visualizations-from animation to virtual environments. Animation and Scientific Visualization: Tools and Applications provides a comprehensive overview of the tools and techniques involved in these applications, with an emphasis on practical examples and experiences, and 32 pages of full-color plates. This book enables readers to see how animation and scientific visualization are invaluable aids to scientists and researchers.
| Author | : Mark Stacey |
| Publisher | : John Wiley & Sons |
| Total Pages | : 434 |
| Release | : 2013-04-10 |
| Genre | : Computers |
| ISBN | : 1118417526 |
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.
| Author | : Amar Sahay |
| Publisher | : Business Expert Press |
| Total Pages | : 193 |
| Release | : 2017-03-07 |
| Genre | : Business & Economics |
| ISBN | : 1631577328 |
This book discusses data and information visualization techniques-the decision-making tools with applications in health care, finance, manufacturing engineering, process improvement, product design, and others. These tools are an excellent means of viewing the current state of the process and improving them. The initial chapters discuss data analysis, the current trends in visualization, the concepts of systems and processes from which data are collected. The second part is devoted to quality tools-a set of graphical and information visualization tools in data analysis, decision-making, and Lean Six-Sigma quality. The eight basic tools of quality discussed are the Process Maps, Check Sheets, Histograms, Scatter Diagrams, Run Charts, Control Charts, Cause-and-Effect Diagrams, and Pareto Charts. The new quality tools presented are the Affinity, Tree, and Matrix Diagrams, Interrelationship Digraph, Prioritizing Matrices, Process Decision Program Chart, and Activity Network Diagram along with Quality Function Deployment (QFD) and Multivari Charts.
