Data Visualization In Enlightenment Literature And Culture

Data Visualization in Enlightenment Literature and Culture explores the new interpretive possibilities offered by using data visualization in eighteenth-century studies. Such visualizations include tabulations, charts, k-means clustering, topic modeling, network graphs, data mapping, and/or other illustrations of patterns of social or intellectual exchange. The contributions to this collection present groundbreaking research of texts and/or cultural trends emerging from data mined from existing databases and other aggregates of sources. Describing both small and large digital projects by scholars in visual arts, history, musicology, and literary studies, this collection addresses the benefits and challenges of employing digital tools, as well as their potential use in the classroom. Chapters 1, 3, 8 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Placed at the intersection of the digital humanities and Enlightenment studies, this collection is an interdisciplinary effort that showcases the significant digital work done in the field of eighteenth-century studies and its potential to transform our disciplinary practices. By addressing essential period-related themes-from issues of canonicity, intellectual history, and book trade practices to novel ways of exploring canonical authors and texts, gender roles, and public sphere dynamics-this collection also makes a broader argument about the necessity of expanding the very notion of "Enlightenment" not only spatially but also conceptually, by revisiting its very tenets in light of new data. The essays included here demonstrate that, by translating these new findings in suggestive visualizations, we can unveil unforeseen patterns, trends, connections, or networks of influence that could potentially revise existing master narratives about the period and the ideological structures at the core of the Enlightenment. Chapters 1, 3, 8 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. .

By employing the innovative lenses of ‘thing theory’ and material culture studies, this collection brings together essays focused on the role played by Arabia’s things - from cultural objects to commodities to historical and ethnographic artifacts to imaginary things - in creating an Arabian identity over time. The Arabian identity that we convey here comprises both a fabulous Arabia that has haunted the European imagination for the past three hundred years and a real Arabia that has had its unique history, culture, and traditions outside the Orientalized narratives of the West. All Things Arabia aims to dispel existing stereotypes and to stimulate new thinking about an area whose patterns of trade and cosmopolitanism have pollinated the world with lasting myths, knowledge, and things of beauty. Contributors include: Ileana Baird, Marie-Claire Bakker, Joseph Donica, Holly Edwards, Yannis Hadjinicolaou, Victoria Hightower, Jennie MacDonald, Kara McKeown, Rana Al-Ogayyel, Ceyda Oskay, Chrysavgi Papagianni, James Redman, Eran Segal, Hülya Yağcıoğlu, and William Gerard Zimmerle.

An in-depth digital investigation of several 18th-century British corpora, this book identifies shared communities of meaning in the printed British 18th century by highlighting and analysing patterns in the distribution of lexis. There are forces of attraction between words: some are more likely to keep company than others, and how words attract and repel one another is worthy of note. Charting these forces, this book demonstrates how distant reading 18th-century corpora can tell us something new, methodologically defensible and, crucially, interesting, about the most common constructions of word meanings and epistemes in the printed British 18th century. In the case studies in this book, computation brings to light some remarkable facts about collectively-produced forms of meaning, without which the most common meanings of words, and the ways of knowing that they constituted, would remain matters of conjecture rather than evidence. Providing the first investigation of collective meaning and knowledge in the British 18th century, this interdisciplinary study builds on the existing stores of close reading, praxis, and history of ideas, presenting a view constructed at scale, rather than at the level of individual texts.

This book breaks new ground in the social and cultural history of eighteenth-century music in Britain through the study of a hitherto neglected resource, the lists of subscribers that were attached to a wide variety of publications, including musical works. These lists shed considerable light on the nature of those who subscribed to music, including their social status, place of employment, residence, and musical interests. Through broad analysis of subscription data, the contributors reveal insights into social and economic changes during the period, and the types of music favoured by groups like music clubs, the aristocracy, the clergy, and by men and women. With chapters on female composers and listeners, music and the slave economy, musical patronage, the print trade, and nationality, this book provides innovative perspectives that enhance our understanding of music’s social spheres, the emergence of music publishing, and the potential of digital musicology research.

Data is powerful. It separates leaders from laggards and it drives business disruption, transformation, and reinvention. Today’s most progressive companies are using the power of data to propel their industries into new areas of innovation, specialization, and optimization. The horsepower of new tools and technologies have provided more opportunities than ever to harness, integrate, and interact with massive amounts of disparate data for business insights and value – something that will only continue in the era of the Internet of Things. And, as a new breed of tech-savvy and digitally native knowledge workers rise to the ranks of data scientist and visual analyst, the needs and demands of the people working with data are changing, too. The world of data is changing fast. And, it’s becoming more visual. Visual insights are becoming increasingly dominant in information management, and with the reinvigorated role of data visualization, this imperative is a driving force to creating a visual culture of data discovery. The traditional standards of data visualizations are making way for richer, more robust and more advanced visualizations and new ways of seeing and interacting with data. However, while data visualization is a critical tool to exploring and understanding bigger and more diverse and dynamic data, by understanding and embracing our human hardwiring for visual communication and storytelling and properly incorporating key design principles and evolving best practices, we take the next step forward to transform data visualizations from tools into unique visual information assets. Discusses several years of in-depth industry research and presents vendor tools, approaches, and methodologies in discovery, visualization, and visual analytics Provides practicable and use case-based experience from advisory work with Fortune 100 and 500 companies across multiple verticals Presents the next-generation of visual discovery, data storytelling, and the Five Steps to Data Storytelling with Visualization Explains the Convergence of Visual Analytics and Visual discovery, including how to use tools such as R in statistical and analytic modeling Covers emerging technologies such as streaming visualization in the IOT (Internet of Things) and streaming animation

An exploration of infographics and data visualization as a cultural phenomenon, from eighteenth-century print culture to today's data journalism. Infographics and data visualization are ubiquitous in our everyday media diet, particularly in news—in print newspapers, on television news, and online. It has been argued that infographics are changing what it means to be literate in the twenty-first century—and even that they harmonize uniquely with human cognition. In this first serious exploration of the subject, Murray Dick traces the cultural evolution of the infographic, examining its use in news—and resistance to its use—from eighteenth-century print culture to today's data journalism. He identifies six historical phases of infographics in popular culture: the proto-infographic, the classical, the improving, the commercial, the ideological, and the professional. Dick describes the emergence of infographic forms within a wider history of journalism, culture, and communications, focusing his analysis on the UK. He considers their use in the partisan British journalism of late eighteenth and early nineteenth-century print media; their later deployment as a vehicle for reform and improvement; their mass-market debut in the twentieth century as a means of explanation (and sometimes propaganda); and their use for both ideological and professional purposes in the post–World War II marketized newspaper culture. Finally, he proposes best practices for news infographics and defends infographics and data visualization against a range of criticism. Dick offers not only a history of how the public has experienced and understood the infographic, but also an account of what data visualization can tell us about the past.

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts Practical lessons based on the data and design challenges overcome during each project Full-color pages, showcasing all 24 final data visualizations This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.