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The Aesthetics of Scientific Data Representation

Author: Lotte Philipsen

Publisher: Routledge

Published: 2017-08-22

Total Pages: 150

ISBN-13: 1317194144

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How can cartoon images aid in understanding bacterial biological processes? What prompts physicists to blur their images before showing them to biologists? Considering that the astronomer’s data consists solely of invisible, electric impulses, what is the difference between representing outer space as images, graphs, or sound? How does a work of contemporary art differ from a scientific image if we cannot visually distinguish between the two? How do aesthetics, art, and design influence scientific visualization and vice versa? This volume asks critically important questions about scientific data representation and provides significant insights to a field that is interdisciplinary in its very core. The authors investigate scientific data representation through the joint optics of the humanities and natural sciences. The volume particularly appeals to scholars in visual and aesthetic studies, data visualization, scientific illustration, experience culture, information design, and science communication.

Book Synopsis The Aesthetics of Scientific Data Representation by : Lotte Philipsen

Download or read book The Aesthetics of Scientific Data Representation written by Lotte Philipsen and published by Routledge. This book was released on 2017-08-22 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can cartoon images aid in understanding bacterial biological processes? What prompts physicists to blur their images before showing them to biologists? Considering that the astronomer’s data consists solely of invisible, electric impulses, what is the difference between representing outer space as images, graphs, or sound? How does a work of contemporary art differ from a scientific image if we cannot visually distinguish between the two? How do aesthetics, art, and design influence scientific visualization and vice versa? This volume asks critically important questions about scientific data representation and provides significant insights to a field that is interdisciplinary in its very core. The authors investigate scientific data representation through the joint optics of the humanities and natural sciences. The volume particularly appeals to scholars in visual and aesthetic studies, data visualization, scientific illustration, experience culture, information design, and science communication.

Fundamentals of Data Visualization

Author: Claus O. Wilke

Publisher: O'Reilly Media

Published: 2019-03-18

Total Pages: 390

ISBN-13: 1492031054

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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

Book Synopsis Fundamentals of Data Visualization by : Claus O. Wilke

Download or read book Fundamentals of Data Visualization written by Claus O. Wilke and published by O'Reilly Media. This book was released on 2019-03-18 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Functional Aesthetics for Data Visualization

Author: Vidya Setlur

Publisher: Wiley

Published: 2022-08-23

Total Pages: 340

ISBN-13: 9781119810087

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What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole. Drawing from their unconventional backgrounds, these two women take readers through a journey around perception, semantics, and intent as the triad that influences visualization. This visually engaging book blends ideas from theory, academia, and practice to craft beautiful, yet meaningful visualizations and dashboards. How do you take your visualization skills to the next level? The book is perfect for analysts, research and data scientists, journalists, and business professionals. Functional Aesthetics for Data Visualization is also an indispensable resource for just about anyone curious about seeing and understanding data. Think of it as a coffee book for the data geek in you. https://www.functionalaestheticsbook.com

Book Synopsis Functional Aesthetics for Data Visualization by : Vidya Setlur

Download or read book Functional Aesthetics for Data Visualization written by Vidya Setlur and published by Wiley. This book was released on 2022-08-23 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole. Drawing from their unconventional backgrounds, these two women take readers through a journey around perception, semantics, and intent as the triad that influences visualization. This visually engaging book blends ideas from theory, academia, and practice to craft beautiful, yet meaningful visualizations and dashboards. How do you take your visualization skills to the next level? The book is perfect for analysts, research and data scientists, journalists, and business professionals. Functional Aesthetics for Data Visualization is also an indispensable resource for just about anyone curious about seeing and understanding data. Think of it as a coffee book for the data geek in you. https://www.functionalaestheticsbook.com

Embodying Data

Author: Qi Li

Publisher: Springer Nature

Published: 2020-06-19

Total Pages: 200

ISBN-13: 9811550697

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This book investigates a new interactive data visualisation concept that employs traditional Chinese aesthetics as a basis for exploring contemporary digital technological contexts. It outlines the aesthetic approach, which draws on non-Western aesthetic concepts, specifically the Yijing and Taoist cosmological principles, and discusses the development of data-based digital practices within a theoretical framework that combines traditional Taoist ideas with the digital humanities. The book also offers a critique of the Western aesthetics underpinning data visualisation, in particular the Kantian sublime, which prioritises the experience of power over the natural world viewed at a distance. Taoist philosophy, in contrast, highlights the integration of the surface of the body and the surface of nature as a Taoist body, rather than promoting an opposition of mind and body. The book then explores the transformational potential between the human body and technology, particularly in creating an aesthetic approach spanning traditional Chinese aesthetics and gesture-based technology. Representing a valuable contribution to the digital humanities, the book helps readers understand data-based artistic practices, while also bringing the ideas of traditional Chinese aesthetics to Western audiences. In addition, it will be of interest to practitioners in the fields of digital art and data visualisation seeking new models.

Book Synopsis Embodying Data by : Qi Li

Download or read book Embodying Data written by Qi Li and published by Springer Nature. This book was released on 2020-06-19 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates a new interactive data visualisation concept that employs traditional Chinese aesthetics as a basis for exploring contemporary digital technological contexts. It outlines the aesthetic approach, which draws on non-Western aesthetic concepts, specifically the Yijing and Taoist cosmological principles, and discusses the development of data-based digital practices within a theoretical framework that combines traditional Taoist ideas with the digital humanities. The book also offers a critique of the Western aesthetics underpinning data visualisation, in particular the Kantian sublime, which prioritises the experience of power over the natural world viewed at a distance. Taoist philosophy, in contrast, highlights the integration of the surface of the body and the surface of nature as a Taoist body, rather than promoting an opposition of mind and body. The book then explores the transformational potential between the human body and technology, particularly in creating an aesthetic approach spanning traditional Chinese aesthetics and gesture-based technology. Representing a valuable contribution to the digital humanities, the book helps readers understand data-based artistic practices, while also bringing the ideas of traditional Chinese aesthetics to Western audiences. In addition, it will be of interest to practitioners in the fields of digital art and data visualisation seeking new models.

R for Data Science

Author: Hadley Wickham

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-12

Total Pages: 521

ISBN-13: 1491910364

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Interactive Storytelling

Author: Alex Mitchell

Publisher: Springer Nature

Published: 2021-12-03

Total Pages: 545

ISBN-13: 3030923002

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This book constitutes the refereed proceedings of the 14th International Conference on Interactive Digital Storytelling, ICIDS 2021, held in Tallinn, Estonia, in December 2021. The 18 full papers and 17 short papers, presented together with 17 posters and demos, were carefully reviewed and selected from 99 submissions. The papers are categorized into the following topical sub-headings: Narrative Systems; Interactive Narrative Theory; Interactive Narrative Impact and Application; and the Interactive Narrative Research Discipline and Contemporary Practice.

Book Synopsis Interactive Storytelling by : Alex Mitchell

Download or read book Interactive Storytelling written by Alex Mitchell and published by Springer Nature. This book was released on 2021-12-03 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Interactive Digital Storytelling, ICIDS 2021, held in Tallinn, Estonia, in December 2021. The 18 full papers and 17 short papers, presented together with 17 posters and demos, were carefully reviewed and selected from 99 submissions. The papers are categorized into the following topical sub-headings: Narrative Systems; Interactive Narrative Theory; Interactive Narrative Impact and Application; and the Interactive Narrative Research Discipline and Contemporary Practice.

Critical Visualization

Author: Peter A. Hall

Publisher: Bloomsbury Publishing

Published: 2022-12-01

Total Pages: 258

ISBN-13: 1350077267

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Information may be beautiful, but our decisions about the data we choose to represent and how we represent it are never neutral. This insightful history traces how data visualization accompanied modern technologies of war, colonialism and the management of social issues of poverty, health and crime. Discussion is based around examples of visualization, from the ancient Andean information technology of the quipu to contemporary projects that show the fate of our rubbish and take a participatory approach to visualizing cities. This analysis places visualization in its theoretical and cultural contexts, and provides a critical framework for understanding the history of information design with new directions for contemporary practice.

Book Synopsis Critical Visualization by : Peter A. Hall

Download or read book Critical Visualization written by Peter A. Hall and published by Bloomsbury Publishing. This book was released on 2022-12-01 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information may be beautiful, but our decisions about the data we choose to represent and how we represent it are never neutral. This insightful history traces how data visualization accompanied modern technologies of war, colonialism and the management of social issues of poverty, health and crime. Discussion is based around examples of visualization, from the ancient Andean information technology of the quipu to contemporary projects that show the fate of our rubbish and take a participatory approach to visualizing cities. This analysis places visualization in its theoretical and cultural contexts, and provides a critical framework for understanding the history of information design with new directions for contemporary practice.

The Visual Display of Quantitative Information

Author: Edward R. Tufte

Publisher:

Published: 2001-01-01

Total Pages: 197

ISBN-13: 9780961392147

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Graphical practice. Theory of data graphics.

Book Synopsis The Visual Display of Quantitative Information by : Edward R. Tufte

Download or read book The Visual Display of Quantitative Information written by Edward R. Tufte and published by . This book was released on 2001-01-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphical practice. Theory of data graphics.

Introduction to Information Visualization

Author: Gerald Benoit

Publisher: Rowman & Littlefield

Published: 2019-02-08

Total Pages: 225

ISBN-13: 1538125099

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Introduction to Information Visualization: Transforming Data into Meaningful Information is for anyone interested in the art and science of communicating data to others. It shows readers how to transform data into something meaningful - information. Applying information visualization in research, service, teaching, and professional life requires a solid understanding of graphic design and the aesthetic along with hands-on skills and knowledge of data principles and software. This book is applicable to students in all domains, to researchers who need to understand how to create graphics that explain their data, and to professionals and administrators for professional development training. Website Designers and Human-Computer Interaction researchers will appreciate the backstory of designing interactive visualizations for the web. Drawing on the author’s years of practice and teaching, it bridges the two worlds in ways everyone can participate in the future of information and to appreciate the beautiful in information: Step-by-step directions in the fundamentals of HTML5, CSS, and d3.js Design challenges with fully explained answers Web-site support for code samples (JavaScript, d3.js, python), live examples, and a place to build a community of other IV pros Useful for teaching design to scientists; data to the humanities Guidance for using the text depending on the class makeup Review of third-party visualization software, big data trends, and script libraries Guidance on how to continue in the IV world after graduation This full-color book features graphics and a companion Web site. The online companion site hosts living examples, updates, and errata. You’re invited to participate on the site, too, sharing your questions, solutions, and ideas. For most readings, there is a partner design lab. At the conclusion of the course, there is a complete interactive information visualization service documentation for libraries.

Book Synopsis Introduction to Information Visualization by : Gerald Benoit

Download or read book Introduction to Information Visualization written by Gerald Benoit and published by Rowman & Littlefield. This book was released on 2019-02-08 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Information Visualization: Transforming Data into Meaningful Information is for anyone interested in the art and science of communicating data to others. It shows readers how to transform data into something meaningful - information. Applying information visualization in research, service, teaching, and professional life requires a solid understanding of graphic design and the aesthetic along with hands-on skills and knowledge of data principles and software. This book is applicable to students in all domains, to researchers who need to understand how to create graphics that explain their data, and to professionals and administrators for professional development training. Website Designers and Human-Computer Interaction researchers will appreciate the backstory of designing interactive visualizations for the web. Drawing on the author’s years of practice and teaching, it bridges the two worlds in ways everyone can participate in the future of information and to appreciate the beautiful in information: Step-by-step directions in the fundamentals of HTML5, CSS, and d3.js Design challenges with fully explained answers Web-site support for code samples (JavaScript, d3.js, python), live examples, and a place to build a community of other IV pros Useful for teaching design to scientists; data to the humanities Guidance for using the text depending on the class makeup Review of third-party visualization software, big data trends, and script libraries Guidance on how to continue in the IV world after graduation This full-color book features graphics and a companion Web site. The online companion site hosts living examples, updates, and errata. You’re invited to participate on the site, too, sharing your questions, solutions, and ideas. For most readings, there is a partner design lab. At the conclusion of the course, there is a complete interactive information visualization service documentation for libraries.

Data Visualization

Author: Frits H. Post

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 445

ISBN-13: 1461511771

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Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.

Book Synopsis Data Visualization by : Frits H. Post

Download or read book Data Visualization written by Frits H. Post and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.