Visual Variables & Tableau
About
Data visualization is an important tool for researchers, assisting in both analysis and communication of results. The use of appropriate visualization techniques can greatly increase the ability to gain insight from and ease the communication of data.
Creation of effective visual representations relies highly on the use of what are known as visual variables. Visual variables include colour, brightness, position, orientation, shade, and texture. Appropriate use of these properties is a key component of mapping raw data to a visual representation. Through effective use of visual variables a great number of properties can be embedded in a single visualization.
- Visual Variables WorkshopSlides from the Visual Variables Workshop
Books
- Beautiful Evidence by Edward R. Tufte Science and art have in common intense seeing, the wide-eyed observing that generates empirical information. Beautiful Evidence is about how seeing turns into showing, how empirical observations turn into explanations and evidence presentations. The book identifies excellent and effective methods for presenting information, suggests new designs, and provides tools for assessing the credibility of evidence presentations.Here we will see many close readings of serious evidence presentations-ranging through evolutionary trees and rocket science to economics, art history, and sculpture. Insistent application of the principles of analytical thinking helps both insiders and outsiders assess the credibility of evidence.Call Number: P93.5 .T828 2006ISBN: 0961392177Publication Date: 2006
- Beautiful Visualization by Julie Steele; Noah Iliinsky Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding. This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more. Together they demonstrate how visualization can help us make sense of the world. Explore the importance of storytelling with a simple visualization exercise Learn how color conveys information that our brains recognize before we're fully aware of it Discover how the books we buy and the people we associate with reveal clues to our deeper selves Recognize a method to the madness of air travel with a visualization of civilian air traffic Find out how researchers investigate unknown phenomena, from initial sketches to published papers Contributors include: Nick Bilton,Michael E. Driscoll,Jonathan Feinberg,Danyel Fisher,Jessica Hagy,Gregor Hochmuth,Todd Holloway,Noah Iliinsky,Eddie Jabbour,Valdean Klump,Aaron Koblin,Robert Kosara,Valdis Krebs,JoAnn Kuchera-Morin et al.,Andrew Odewahn,Adam Perer,Anders Persson,Maximilian Schich,Matthias Shapiro,Julie Steele,Moritz Stefaner,Jer Thorp,Fernanda Viegas,Martin Wattenberg,and Michael Young.ISBN: 9781449379865Publication Date: 2010-07-01
- Envisioning Information by Edward R. Tufte Edward Tufte first burst into the awareness of graphic designers several years ago with The Visual Display of Quantitative Information (CH, Nov'83). Now, with this new book, he expands on the themes he raised there, and does so in a colorful (both verbally and visually speaking) and accessible fashion. Tufte argues against what he terms "chart junk"--the employing of clever visuals to attract a reader while at the same time sacrificing or distorting the information presented. He stresses repeatedly that there is more creativity at work in portraying complex data sincerely and succinctly; that the designer's role should be one of revealing interrelationships, not distracting the viewer with superficial stylizations. Tufte backs up his arguments with more than 100 examples illustrated, for the most part, in full color. He draws on work spanning four centuries and several continents. The book, produced by Graphics Press, which Tufte had a part in founding, is beautifully designed. There is an understated elegance to the format that, while affording ample room for the illustrations of intricate diagrams, never seems boastful or self-possessed. Every US design firm should include this book in its library. Recommended for college and university libraries. -S. Skaggs, University of LouisvilleCall Number: P93.5 .T83 1991ISBN: 0961392118Publication Date: 1990-05-01
- Semiology of Graphics by Jacques Bertin; William Berg (Translator)Call Number: QA90 .B4751 1983ISBN: 0299090604Publication Date: 1983-12-01
- The Visual Display of Quantitative Information by Edward R. Tufte The first edition of Tufte's now classic text on the design of statistical graphics was published in 1983. Tufte published it himself with the help of a second mortgage in order to have complete control over the book's design, which he wanted to reflect the intellectual principles put forth in its contents. That edition saw 17 reprintings. This second edition provides high-resolution color reproduction of William Playfair's many graphics, adds color to other images, and includes all the changes and corrections accumulated since the first edition publication. c. Book News Inc.Call Number: QA276.3 .T84 1983ISBN: 096139210XPublication Date: 1983
- Visual Explanations by Edward R. Tufte; Bonnie Scranton (Illustrator); Dmitry Krasny (Illustrator); Weilin Wu (Illustrator) Tufte's (statistical evidence and information design, Yale U.) third book on displaying information that began with the now classic (1983). Whereas the first considered the display of numbers and the second of nouns, this explores the representation of verbs, mechanisms and motion, process and dynamics, cause and effect, explanation and narrative. In explicating the principles, he cites such examples as visual evidence to decide to launch the space shuttle Challenger, a supercomputer animation of a thunderstorm, stage magic, and disinformation design. Many examples show redesigns comparing before and after. Lavishly illustrated in color throughout, and includes four flaps showing before and after effects. Annotation c. by Book News, Inc., Portland, Or.Call Number: P93.5 .T84 1997ISBN: 0961392126Publication Date: 1997-01-01
- Visualization Analysis and Design by Tamara Munzner Learn How to Design Effective Visualization Systems Visualization Analysis and Designprovides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form. The book breaks down visualization design according to three questions: whatdata users need to see, whyusers need to carry out their tasks, and howthe visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework. The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human-computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.ISBN: 9781466508910Publication Date: 2014-12-01
- Visualizing Data by Ben Fry Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing". Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you: The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details Several example projects with the code to make them work Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.ISBN: 0596514557Publication Date: 2007-12-28
- Visual Thinking by Colin Ware Increasingly, designers need to present information in ways that aid their audience's thinking process. Fortunately, results from the relatively new science of human visual perception provide valuable guidance. In Visual Thinking for Design, Colin Ware takes what we now know about perception, cognition, and attention and transforms it into concrete advice that designers can directly apply. He demonstrates how designs can be considered as tools for cognition - extensions of the viewer's brain in much the same way that a hammer is an extension of the user's hand. Experienced professional designers and students alike will learn how to maximize the power of the information tools they design for the people who use them. . Presents visual thinking as a complex process that can be supported in every stage using specific design techniques. . Provides practical, task-oriented information for designers and software developers charged with design responsibilities. . Includes hundreds of examples, many in the form of integrated text and full-color diagrams. . Steeped in the principles of "active vision," which views graphic designs as cognitive tools.ISBN: 9780123708960Publication Date: 2008-04-04
- Handbook of Human Centric Visualization by Weidong Huang (Editor)ISBN: 1461474841Publication Date: 2013-08-06
More resources and tools (some focus on Business related visualizations) are highlighted on the guide BUSN - Data Visualization at http://libguides.ucalgary.ca/c.php?g=255493&p=1703792
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- Last Updated: Nov 7, 2017 5:02 PM
- URL: https://libguides.ucalgary.ca/guides/vis
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