scholarly journals The Use of Data Visualizations for Analyzing Social Trends

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Richard Schaefer
Keyword(s):  
Data Visualization ◽  
Ethical Dilemmas ◽  
Social Structures ◽  
Social Trends ◽  
Use Of Data ◽  
Visualization Software ◽  
Recent Developments ◽  
Baseline Information ◽  
Data Visualizations

This essay posits that now is a particularly propitious time for the development and use of data visualization as a means for communicating abstract baseline information about society’s complex institutions, organizations, and social structures. It reviews recent developments in off- the-shelf visualization software and describes supporting literature and tutorials. Finally, it presents some of the ethical dilemmas and constraints confronting visualization producers.

scholarly journals Dynamic Data Visualizations to Enhance Insight and Communication Across the Lifecycle of a Scientific Project

2021 ◽  
Author(s):  
Kristina Wiebels ◽  
David Moreau
Keyword(s):  
Data Visualization ◽  
Web Applications ◽  
Scientific Communication ◽  
R Language ◽  
Challenges And Opportunities ◽  
Recent Developments ◽  
Data Points ◽  
Scientific Project ◽  
Active Exploration ◽  
Data Visualizations

In scientific communication, figures are typically rendered as static displays. This often prevents active exploration of the underlying data, for example to gauge the influence of particular data points or of particular analytic choices. Yet modern data visualization tools, from animated plots to interactive notebooks and reactive web applications, allow psychologists to share and present their findings in dynamic and transparent ways. In this tutorial, we present a number of recent developments to build interactivity and animations into scientific communication and publications, using examples and illustrations in the R language. In particular, we discuss when and how to build dynamic figures, with step-by-step reproducible code that can easily be extended to the reader’s own projects. We illustrate how interactivity and animations can facilitate insight and communication across a project lifecycle—from initial exchanges and discussions within a team to peer-review and final publication—and provide a number of recommendations to use dynamic visualizations effectively. We close with a reflection on how the scientific publishing model is currently evolving, and consider the challenges and opportunities this shift might bring along for data visualization.

scholarly journals Introduction: “Speaking to the Eyes”—Reassessing the Enlightenment in the Digital Age

2021 ◽  
pp. 1-27
Author(s):  
Ileana Baird
Keyword(s):  
Eighteenth Century ◽  
Public Sphere ◽  
Intellectual History ◽  
Data Visualization ◽  
Digital Humanities ◽  
Political Scientist ◽  
Use Of Data ◽  
The Enlightenment ◽  
New Findings ◽  
Data Visualizations

AbstractThis introduction provides a brief survey of the evolution of data visualization from its eighteenth-century beginnings, when the Scottish engineer and political scientist William Playfair created the first statistical graphs, to its present-day developments and use in period-related digital humanities projects. The author highlights the growing use of data visualization in major institutional projects, provides a literature review of representative works that employ data visualizations as a methodological tool, and highlights the contribution that this collection makes to digital humanities and the Enlightenment studies. Addressing essential period-related themes—from issues of canonicity, intellectual history, and book trade practices to 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 tenets in light of new data. When translating the new findings afforded by the digital 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.

Teaching Data Analytics Skills in Auditing Classes Using Tableau

2018 ◽  
Vol 15 (2) ◽  
pp. 137-150 ◽  
Author(s):  
Thomas R. Weirich ◽  
Norbert Tschakert ◽  
Stephen Kozlowski
Keyword(s):  
Data Visualization ◽  
Data Analytics ◽  
Data File ◽  
Student Feedback ◽  
Data Availability ◽  
Audit Planning ◽  
Visualization Software ◽  
Hands On ◽  
Data Visualizations ◽  
Data Analytic

ABSTRACT We present a case for teaching data analytics skills in auditing classes using the data visualization software Tableau. We use the Tableau-embedded data file “US Superstore,” which we edited to include cash receipts and discounts to provide a complete order to cash cycle. Students learn how to create data visualizations and dashboards, and how to apply them to audit-planning considerations. Students then perform substantive testing of the revenue (order to cash) cycle and identify issues in the data that relate to revenue. We propose that this case material can be tailored by instructors to fit their particular needs and course curriculum. This case provides students with hands-on exposure to data analytic and visualization capabilities. Student feedback was very favorable and student comments indicated that the case was practical, realistic, and informative, and provided them a better understanding of data visualization. Data Availability: For data availability, please contact the corresponding author.

Between automation and interpretation : Using data visualization in social media analytics companies

2020 ◽  
Author(s):  
Salla-Maaria Laaksonen ◽  
Juho Pääkkönen
Keyword(s):  
Social Media ◽  
Data Visualization ◽  
Social Media Analytics ◽  
Use Of Data ◽  
Representational Practice ◽  
Field Notes ◽  
Using Data ◽  
Data Visualizations ◽  
Knowledge Claims

This chapter explores the use of data visualizations in social media analytics companies. Drawing on a dataset of ethnographic field notes and thematic interviews in four Finnish social media analytics companies, we argue that data visualizations are crucially involved in how analytics-based knowledge claims become accepted by companies and their clients. Basing on previous research on visualizations in organizations and as a representational practice, we explore their role in social media analytics. We identify three practices of using visualizations, which we have named have simple-boxing, flatter-boxing, and pretty-boxing. We argue that these practices enable analysts to achieve the simultaneous aims of producing credible and valuable analytics in a context marked by high business promises.

scholarly journals Data visualization in Indian print media: a comparative study of English and Hindi newspapers

2020 ◽  
Vol 25 (3) ◽  
pp. 554-566
Author(s):  
Amit Kumar ◽  
Poonam Gaur
Keyword(s):  
Comparative Study ◽  
Data Visualization ◽  
News Media ◽  
Data Sets ◽  
Process Data ◽  
Important Place ◽  
Whole Process ◽  
Use Of Data ◽  
Data Journalism ◽  
Data Visualizations

The advancing technology is affecting every aspect of life and journalism is also not untouched by this. Due to digitalization, huge amount of data is being generated and the continuous advancement of computer science has made it possible to extract meaningful information by storing and analysing this huge data. The term “data journalism” has become quite popular over the last decade. Analysing data sets, extracting newsworthy information from it and passing it on to the public is data journalism. Data visualization also has a very important place in this whole process. Data visualization is used to communicate information extracted from the data to the users in a clear, interesting and engaging way. The amount of data-based content has started increasing in the news media as well, so the importance of data visualization has also increased. The use of data visualization improves readers’ reading experience and also helps to better understand the data-based content. This preliminary study focuses on the use of data visualizations by English and Hindi newspapers in India. In this research, a comparative study of various aspects of the use of data visualizations in English and Hindi newspapers has been done. Content analysis with quantitative approach has been employed as the research method. This study reveals that there is a big difference in every aspect of the use of data visualizations in English and Hindi newspapers. English newspaper used data visualizations in a better way than their Hindi counterpart.

scholarly journals Data Visualization Classification Using Simple Convolutional Neural Network Model

2020 ◽  
Vol 11 (1) ◽  
pp. 43-51
Author(s):  
Filip Bajić ◽  
Josip Job ◽  
Krešimir Nenadić
Keyword(s):  
Data Visualization ◽  
Classification Accuracy ◽  
Term Memory ◽  
Average Classification Accuracy ◽  
Use Of Data ◽  
Processing Data ◽  
Level Of Details ◽  
Blind Individuals ◽  
Data Visualizations ◽  
Significant Data

Data visualization is developed from the need to display a vast quantity of information more transparently. Data visualization often incorporates important information that is not listed anywhere in the document and enables the reader to discover significant data and save it in longer-term memory. On the other hand, Internet search engines have difficulty processing data visualization and connecting visualization and the request submitted by the user. With the use of data visualization, all blind individuals and individuals with impaired vision are left out. This article utilizes machine learning to classify data visualizations into 10 classes. Tested model is trained four times on the dataset which is preprocessed through four stages. Achieved accuracy of 89 % is comparable to other methods’ results. It is showed that image processing can impact results, i.e. increasing or decreasing level of details in image impacts on average classification accuracy significantly.

scholarly journals Active Electronically Steered Array (AESA) Radar Data Visualization Software

2019 ◽  
Vol 16 (1) ◽  
pp. 107-114
Author(s):  
K. Kavitha ◽  
◽  
E. Srinivas Reddy ◽  
Dr. N.V Rao ◽  
◽  
...  
Keyword(s):  
Data Visualization ◽  
Radar Data ◽  
Visualization Software

scholarly journals Data Visualization + Scrollytelling for Election News Stories : Challenges and Perspectives

2019 ◽  
Author(s):  
Jean-Philippe Corbeil ◽  
Florent Daudens ◽  
Thomas Hurtut
Keyword(s):  
Data Visualization ◽  
French Language ◽  
Daily Newspaper ◽  
Canadian French ◽  
News Stories ◽  
The Past ◽  
Narrative Format ◽  
Election News ◽  
Data Visualizations

This visual case study is conducted by Le Devoir, a Canadian french-language independent daily newspaper gathering around 50 journalists and one million readers every week. During the past twelve months, in collaboration with Polytechnique Montreal, we investigated a scrollytelling format strongly relying on combined series of data visualizations. This visual case study will specifically present one of the news stories we published, which communicates electoral results the day after the last Quebec general election. It gathers all the lessons that we learnt from this experience, the challenges that we tackled and the perspectives for the future. Beyond the specific electoral context of this work, these conclusions might be useful for any practitioner willing to communicate data visualization based stories, using a scrollytelling narrative format.

What we talk about when we talk about beautiful data visualizations

2020 ◽  
Author(s):  
Sara Brinch
Keyword(s):  
Data Visualization ◽  
Best Practice ◽  
Visualization Design ◽  
Data Visualizations

‘Beautiful’ is an adjective often used in descriptions of well-designed data visualizations. How the concept is used, however, reveals that it is applied to characterize a variety of qualities. Going beyond mere descriptions, the use of the concept also lays bare a certain ambivalence among scholars and practitioners towards how beauty matters, and which means it serves in data visualization. Interrogating ‘beautiful’ as a characterizing word, combined with a study of cases of ‘best practice’ used as examples of beautiful visualizations in various discourses, this chapter presents an analysis of what is regarded as beautiful within the field of data visualization design. This, in turn, can inform the understanding of what beauty means in visualizing data, in the purpose of facilitating the viewer’s comprehension and engagement.

The political significance of data visualization: Four key perspectives

2020 ◽  
Author(s):  
Torgeir Uberg Nærland
Keyword(s):  
Social Theory ◽  
Data Visualization ◽  
Status Quo ◽  
Public Deliberation ◽  
The Political ◽  
Progressive Change ◽  
The Status ◽  
Data Visualizations

Practitioners and scholars alike assume that data visualization can have political significance—as vehicle for progressive change, manipulation, or maintaining the status quo. There are, however, a variety of ways in which we can think of data visualization as politically significant. These perspectives imply differing notions of both ‘politics’ and ‘significance’. Drawing upon political and social theory, this chapter identifies and outlines four key perspectives: data visualization and 1) public deliberation, 2) ideology, 3) citizenship, and 4) as a political-administrative steering tool. The aim of this chapter is thus to provide a framework that helps clarify the various contexts, processes, and capacities through which data visualizations attain political significance.

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