Data Visualization Exploring And Explaining With Data 2nd Edition Pdf
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digitalSTS
Author: Janet Vertesi
language: en
Publisher: Princeton University Press
Release Date: 2019-05-07
New perspectives on digital scholarship that speak to today's computational realities Scholars across the humanities, social sciences, and information sciences are grappling with how best to study virtual environments, use computational tools in their research, and engage audiences with their results. Classic work in science and technology studies (STS) has played a central role in how these fields analyze digital technologies, but many of its key examples do not speak to today’s computational realities. This groundbreaking collection brings together a world-class group of contributors to refresh the canon for contemporary digital scholarship. In twenty-five pioneering and incisive essays, this unique digital field guide offers innovative new approaches to digital scholarship, the design of digital tools and objects, and the deployment of critically grounded technologies for analysis and discovery. Contributors cover a broad range of topics, including software development, hackathons, digitized objects, diversity in the tech sector, and distributed scientific collaborations. They discuss methodological considerations of social networks and data analysis, design projects that can translate STS concepts into durable scientific work, and much more. Featuring a concise introduction by Janet Vertesi and David Ribes and accompanied by an interactive microsite, this book provides new perspectives on digital scholarship that will shape the agenda for tomorrow’s generation of STS researchers and practitioners.
Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization
The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances of emerging technology have allowed for new methods of representing such conceptual data. The Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization focuses on the use of visualization technologies to assist in the process of better comprehending scientific concepts, data, and applications. Highlighting the utilization of visual power and the roles of sensory perceptions, computer graphics, animation, and digital storytelling, this book is an essential reference source for instructors, engineers, programmers, and software developers interested in the exchange of information through the visual depiction of data.
EDF Data Visualization Professional Courseware
In order to leverage data, decision makers and management need to be able to visualize the vast amount of information and data that is being collected and generated nowadays in an interactive and readable manner. People are visually orientated, this means that data visualization can be a great help in analyzing, interpreting and sharing data quickly. Visualizing data effectively, enables organizations to respond quickly to changes. Examples include customer behavior, business processes or (financial) markets information. This course is based on the standards set by Effective Data Foundation (EDF). After completing the course a delegate can become a Certified EDF Visualization Professional by passing the Certified EDF Visualization Professional exam. This is also known as the DATAVIS certification and exam. Modules included in the certification are: - Visual and quantitative thinking; - Visualizing data effectively; - Building blocks of data visualization; - Data processing & data storytelling.