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| Author | : Zenon W. Pylyshyn |
| Publisher | : MIT Press |
| Total Pages | : 590 |
| Release | : 2003 |
| Genre | : Categorization (Psychology) |
| ISBN | : 9780262162173 |
How we see and how we visualize: why the scientific account differs from our experience.
| 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 | : Stephan Diehl |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 192 |
| Release | : 2007-05-01 |
| Genre | : Computers |
| ISBN | : 3540465057 |
Here is an ideal textbook on software visualization, written especially for students and teachers in computer science. It provides a broad and systematic overview of the area including many pointers to tools available today. Topics covered include static program visualization, algorithm animation, visual debugging, as well as the visualization of the evolution of software. The author's presentation emphasizes common principles and provides different examples mostly taken from seminal work. In addition, each chapter is followed by a list of exercises including both pen-and-paper exercises as well as programming tasks.
| Author | : Colin Ware |
| Publisher | : Elsevier |
| Total Pages | : 537 |
| Release | : 2012-05-21 |
| Genre | : Computers |
| ISBN | : 0123814650 |
Most designers know that yellow text presented against a blue background reads clearly and easily, but how many can explain why, and what really are the best ways to help others and ourselves clearly see key patterns in a bunch of data? When we use software, access a website, or view business or scientific graphics, our understanding is greatly enhanced or impeded by the way the information is presented. This book explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness. The book offers practical guidelines that can be applied by anyone: interaction designers, graphic designers of all kinds (including web designers), data miners, and financial analysts. Complete update of the recognized source in industry, research, and academic for applicable guidance on information visualizing Includes the latest research and state of the art information on multimedia presentation More than 160 explicit design guidelines based on vision science A new final chapter that explains the process of visual thinking and how visualizations help us to think about problems Packed with over 400 informative full color illustrations, which are key to understanding of the subject
| Author | : Kieran Healy |
| Publisher | : Princeton University Press |
| Total Pages | : 292 |
| Release | : 2018-12-18 |
| Genre | : Social Science |
| ISBN | : 0691181624 |
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
| Author | : Nanci Bell |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2007 |
| Genre | : Cognitive learning |
| ISBN | : 9780945856641 |
Develops concept imagery: the ability to create mental representations and integrate them with language. This sensory-cognitive skill underlies language comprehension and higher order thinking for students of all ages.
| Author | : Ben Fry |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 384 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : 0596519303 |
Provides information on the methods of visualizing data on the Web, along with example projects and code.
| Author | : Katherine Rowell |
| Publisher | : John Wiley & Sons |
| Total Pages | : 243 |
| Release | : 2020-11-10 |
| Genre | : Computers |
| ISBN | : 1119680883 |
The only data visualization book written by and for health and healthcare professionals. In health and healthcare, data and information are coming at organizations faster than they can consume and interpret it. Health providers, payers, public health departments, researchers, and health information technology groups know the ability to analyze and communicate this vast array of data in a clear and compelling manner is paramount to success. However, they simply cannot find experienced people with the necessary qualifications. The quickest (and often the only) route to meeting this challenge is to hire smart people and train them. Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to "See how You're Doing" is a one-of-a-kind book for health and healthcare professionals to learn the best practices of data visualization specific to their field. It provides a high-level summary of health and healthcare data, an overview of relevant visual intelligence research, strategies and techniques to gather requirements, and how to build strong teams with the expertise required to create dashboards and reports that people love to use. Clear and detailed explanations of data visualization best practices will help you understand the how and the why. Learn how to build beautiful and useful data products that deliver powerful insights for the end user Follow along with examples of data visualization best practices, including table and graph design for health and healthcare data Learn the difference between dashboards, reports, multidimensional exploratory displays and infographics (and why it matters) Avoid common mistakes in data visualization by learning why they do not work and better ways to display the data Written by a top leader in the field of health and healthcare data visualization, this book is an excellent resource for top management in healthcare, as well as entry-level to experienced data analysts in any health-related organization.
| Author | : Tom Clancy |
| Publisher | : Penguin |
| Total Pages | : 740 |
| Release | : 1987-07-01 |
| Genre | : Fiction |
| ISBN | : 9780425101070 |
From the author of the Jack Ryan series comes an electrifying #1 New York Times bestseller—a standalone military thriller that envisions World War 3... A chillingly authentic vision of modern war, Red Storm Rising is as powerful as it is ambitious. Using the latest advancements in military technology, the world's superpowers battle on land, sea, and air for ultimate global control. It is a story you will never forget. Hard-hitting. Suspenseful. And frighteningly real. “Harrowing...tense...a chilling ring of truth.”—TIME
| Author | : Johanna Drucker |
| Publisher | : MIT Press |
| Total Pages | : 205 |
| Release | : 2020-11-10 |
| Genre | : Social Science |
| ISBN | : 0262044730 |
An analysis of visual epistemology in the digital humanities, with attention to the need for interpretive digital tools within humanities contexts. In the several decades since humanists have taken up computational tools, they have borrowed many techniques from other fields, including visualization methods to create charts, graphs, diagrams, maps, and other graphic displays of information. But are these visualizations actually adequate for the interpretive approach that distinguishes much of the work in the humanities? Information visualization, as practiced today, lacks the interpretive frameworks required for humanities-oriented methodologies. In this book, Johanna Drucker continues her interrogation of visual epistemology in the digital humanities, reorienting the creation of digital tools within humanities contexts. Drucker examines various theoretical understandings of visual images and their relation to knowledge and how the specifics of the graphical are to be engaged directly as a primary means of knowledge production for digital humanities. She draws on work from aesthetics, critical theory, and formal study of graphical systems, addressing them within the specific framework of computational and digital activity as they apply to digital humanities. Finally, she presents a series of standard problems in visualization for the humanities (including time/temporality, space/spatial relations, and data analysis), posing the investigation in terms of innovative graphical systems informed by probabilistic critical hermeneutics. She concludes with a final brief sketch of discovery tools as an additional interface into which modeling can be worked.
