Interaction For Visualization


Interaction For Visualization
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Interaction For Visualization


Interaction For Visualization
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Author : Christian Tominski
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2015-06-01

Interaction For Visualization written by Christian Tominski and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-01 with Computers categories.


Visualization has become a valuable means for data exploration and analysis. Interactive visualization combines expressive graphical representations and effective user interaction. Although interaction is an important component of visualization approaches, much of the visualization literature tends to pay more attention to the graphical representation than to interaction. The goal of this work is to strengthen the interaction side of visualization. Based on a brief review of general aspects of interaction, we develop an interaction-oriented view on visualization. This view comprises five key aspects: the data, the tasks, the technology, the human, as well as the implementation. Picking up these aspects individually, we elaborate several interaction methods for visualization. We introduce a multi-threading architecture for efficient interactive exploration. We present interaction techniques for different types of data e.g., multivariate data, spatio-temporal data, graphs) and different visualization tasks (e.g., exploratory navigation, visual comparison, visual editing). With respect to technology, we illustrate approaches that utilize modern interaction modalities (e.g., touch, tangibles, proxemics) as well as classic ones. While the human is important throughout this work, we also consider automatic methods to assist the interactive part. In addition to solutions for individual problems, a major contribution of this work is the overarching view of interaction in visualization as a whole. This includes a critical discussion of interaction, the identification of links between the key aspects of interaction, and the formulation of research topics for future work with a focus on interaction.



Information Visualization


Information Visualization
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Author : Robert Spence
language : en
Publisher: Prentice Hall
Release Date : 2007

Information Visualization written by Robert Spence and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.


Offering an interactive, visual opportunity to learn how to clarify and interpret data, this text features real world examples and applications.



Interactive Data Visualization For The Web


Interactive Data Visualization For The Web
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Author : Scott Murray
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-03-11

Interactive Data Visualization For The Web written by Scott Murray and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-11 with Computers categories.


Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser



Design Of Visualizations For Human Information Interaction


Design Of Visualizations For Human Information Interaction
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Author : Kamran Sedig
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Design Of Visualizations For Human Information Interaction written by Kamran Sedig and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Mathematics categories.


Interest in visualization design has increased in recent years. While there is a large body of existing work from which visualization designers can draw, much of the past research has focused on developing new tools and techniques that are aimed at specific contexts. Less focus has been placed on developing holistic frameworks, models, and theories that can guide visualization design at a general level—a level that transcends domains, data types, users, and other contextual factors. In addition, little emphasis has been placed on the thinking processes of designers, including the concepts that designers use, while they are engaged in a visualization design activity. In this book we present a general, holistic framework that is intended to support visualization design for human-information interaction. The framework is composed of a number of conceptual elements that can aid in design thinking. The core of the framework is a pattern language—consisting of a set of 14 basic, abstract patterns—and a simple syntax for describing how the patterns are blended. We also present a design process, made up of four main stages, for creating static or interactive visualizations. The 4-stage design process places the patterns at the core of designers’ thinking, and employs a number of conceptual tools that help designers think systematically about creating visualizations based on the information they intend to represent. Although the framework can be used to design static visualizations for simple tasks, its real utility can be found when designing visualizations with interactive possibilities in mind—in other words, designing to support a human-information interactive discourse. This is especially true in contexts where interactive visualizations need to support complex tasks and activities involving large and complex information spaces. The framework is intended to be general and can thus be used to design visualizations for diverse domains, users, information spaces, and tasks in different fields such as business intelligence, health and medical informatics, digital libraries, journalism, education, scientific discovery, and others. Drawing from research in multiple disciplines, we introduce novel concepts and terms that can positively contribute to visualization design practice and education, and will hopefully stimulate further research in this area.



Interactive Web Based Data Visualization With R Plotly And Shiny


Interactive Web Based Data Visualization With R Plotly And Shiny
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Author : Carson Sievert
language : en
Publisher: CRC Press
Release Date : 2020-01-30

Interactive Web Based Data Visualization With R Plotly And Shiny written by Carson Sievert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Business & Economics categories.


The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web programming. Through many R code examples, you will learn how to tap the extensive functionality of these tools to enhance the presentation and exploration of data. By mastering these concepts and tools, you will impress your colleagues with your ability to quickly generate more informative, engaging, and reproducible interactive graphics using free and open source software that you can share over email, export to pdf, and more. Key Features: Convert static ggplot2 graphics to an interactive web-based form Link, animate, and arrange multiple plots in standalone HTML from R Embed, modify, and respond to plotly graphics in a shiny app Learn best practices for visualizing continuous, discrete, and multivariate data Learn numerous ways to visualize geo-spatial data This book makes heavy use of plotly for graphical rendering, but you will also learn about other R packages that support different phases of a data science workflow, such as tidyr, dplyr, and tidyverse. Along the way, you will gain insight into best practices for visualization of high-dimensional data, statistical graphics, and graphical perception. The printed book is complemented by an interactive website where readers can view movies demonstrating the examples and interact with graphics.



Interactive Data Visualization For The Web


Interactive Data Visualization For The Web
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Author : Scott Murray
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-08-03

Interactive Data Visualization For The Web written by Scott Murray and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-03 with Computers categories.


Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser.



Interactive Visual Data Analysis


Interactive Visual Data Analysis
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Author : Christian Tominski
language : en
Publisher: CRC Press
Release Date : 2020-04-01

Interactive Visual Data Analysis written by Christian Tominski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.


Based on comprehensive taxonomies for both data and tasks Considers three challenging problems: incremental visualization, visual design and guidance Systematically investigates the visualization of multi-faceted data and networks A comprehensive overview on interaction is provided Visualization approaches in innovative display environments (large high-resolution displays, smart environments) are discussed



Interactive Visualization


Interactive Visualization
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Author : Bill Ferster
language : en
Publisher: MIT Press
Release Date : 2023-05-16

Interactive Visualization written by Bill Ferster and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-16 with Design categories.


A guide to fundamental issues in designing interactive visualizations, exploring ideas of inquiry, design, structured data, and usability. Interactive visualization is emerging as a vibrant new form of communication, providing compelling presentations that allow viewers to interact directly with information in order to construct their own understandings of it. Building on a long tradition of print-based information visualization, interactive visualization utilizes the technological capabilities of computers, the Internet, and computer graphics to marshal multifaceted information in the service of making a point visually. This book offers an introduction to the field, presenting a framework for exploring historical, theoretical, and practical issues. It is not a “how-to” book tied to specific and soon-to-be-outdated software tools, but a guide to the concepts that are central to building interactive visualization projects whatever their ultimate form. The framework the book presents (known as the ASSERT model, developed by the author), allows the reader to explore the process of interactive visualization in terms of choosing good questions to ask; finding appropriate data for answering them; structuring that information; exploring and analyzing the data; representing the data visually; and telling a story using the data. Interactive visualization draws on many disciplines to inform the final representation, and the book reflects this, covering basic principles of inquiry, data structuring, information design, statistics, cognitive theory, usability, working with spreadsheets, the Internet, and storytelling.



Information Visualization


Information Visualization
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Author : Colin Ware
language : en
Publisher: Elsevier
Release Date : 2004-05-05

Information Visualization written by Colin Ware and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-05 with Computers categories.


Information Visualization is the major revision of a classic work on information visualization. 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. This is the first work to use the science of perception to help serious designers and analysts optimize understanding and perception of their data visualizations. This unique and essential guide to human visual perception and related cognitive principles will enrich courses on information visualization and empower designers to see their way forward. Its updated review of empirical research and interface design examples will do much to accelerate innovation and adoption of information visualization. New to this edition are a new chapter on visual thinking, new sections on face perception and flow visualization, and a much-expanded chapter on color and color sequences. This book will appeal to interaction designers; graphic designers of all kinds (including web designers); financial analysts; research scientists and engineers; data miners; and managers faced with information-intensive challenges. *First work to use the science of perception to help serious designers and analysts optimize understanding and perception of their data visualizations.* Major revision of this classic work, with a new chapter on visual thinking, new sections on face perception and flow visualization, and a much expanded chapter on color and color sequences. *New to this edition is the full color treatment throughout, to better display over 400 illustrations.



Making Sense Of Data Iii


Making Sense Of Data Iii
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Author : Glenn J. Myatt
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-09

Making Sense Of Data Iii written by Glenn J. Myatt and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-09 with Mathematics categories.


Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from graphical representations is extracted. Additionally, the book describes the best approach for designing and implementing interactive graphics and visualizations that play a central role in data exploration and decision-support systems. Beginning with an introduction to visual perception, Making Sense of Data III features a brief history on the use of visualization in data exploration and an outline of the design process. Subsequent chapters explore the following key areas: Cognitive and Visual Systems describes how various drawings, maps, and diagrams known as external representations are understood and used to extend the mind's capabilities Graphics Representations introduces semiotic theory and discusses the seminal work of cartographer Jacques Bertin and the grammar of graphics as developed by Leland Wilkinson Designing Visual Interactions discusses the four stages of design process—analysis, design, prototyping, and evaluation—and covers the important principles and strategies for designing visual interfaces, information visualizations, and data graphics Hands-on: Creative Interactive Visualizations with Protovis provides an in-depth explanation of the capabilities of the Protovis toolkit and leads readers through the creation of a series of visualizations and graphics The final chapter includes step-by-step examples that illustrate the implementation of the discussed methods, and a series of exercises are provided to assist in learning the Protovis language. A related website features the source code for the presented software as well as examples and solutions for select exercises. Featuring research in psychology, vision science, statistics, and interaction design, Making Sense of Data III is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for computational statisticians, software engineers, researchers, and professionals of any discipline who would like to understand how the mind processes graphical representations.