dissertation on visualization

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• Information Design and Visualization Master's Theses

Information Design and Visualization Master's Theses Collection

http://hdl.handle.net/2047/D20207599

5Rs of lifelogging: visualizing metadata of music, photos and health.

Breaking the bar chart: why chart types are holding us back and how metaphors can help.

Breathing injustice: redesigning asthma as a collective illness experience.

Bringing clarity to transparency: a study of dashboard implementation in the public sector.

Bringing data to real life: context and practices of data physicalization.

Bringing live animal closer: the visual grammar of information design in augmented reality.

Constructing a continent: the Antarctic experience in context.

DAIDOU: can a complex story be told without words?.

A dancer's trace: visualizing movement in Indian classical dance of Kathak.

Data diary with bots: unmasking the identity of computer programs called "chatbots".

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Home > Dissertations, Theses & Capstones Projects by Program > Data Analysis & Visualization Master’s Theses and Capstone Projects

Data Analysis & Visualization Master’s Theses and Capstone Projects

Dissertations/theses/capstones from 2024 2024.

The Charge Forward: An Assessment of Electric Vehicle Charging Infrastructure in New York City , Christopher S. Cali

Visualizing a Life, Uprooted: An Interactive, Web-Map and Scroll-Driven Exploration of the Oral History of my Great-Grandfather – from Ottoman Cilicia to Lebanon and Beyond , Alyssa Campbell

Examining the Health Risks of Particulate Matter 2.5 in New York City: How it Affects Marginalized Groups and the Steps Needed to Reduce Air Pollution , Freddy Castro

Clustering of Patients with Heart Disease , Mukadder Cinar

Modeling of COVID-19 Clinical Outcomes in Mexico: An Analysis of Demographic, Clinical, and Chronic Disease Factors , Livia Clarete

Invisible Hand of Socioeconomic Factors in Rising Trend of Maternal Mortality Rates in the U.S. , Disha Kanada

Multi-Perspective Analysis for Derivative Financial Product Prediction with Stacked Recurrent Neural Networks, Natural Language Processing and Large Language Model , Ethan Lo

What Does One Billion Dollars Look Like?: Visualizing Extreme Wealth , William Mahoney Luckman

Making Sense of Making Parole in New York , Alexandra McGlinchy

Employment Outcomes in Higher Education , Yunxia Wei

Dissertations/Theses/Capstones from 2023 2023

Phantom Shootings , Allan Ambris

Naming Venus: An Exploration of Goddesses, Heroines, and Famous Women , Kavya Beheraj

Social Impacts of Robotics on the Labor and Employment Market , Kelvin Espinal

Fighting the Invisibility of Domestic Violence , Yesenny Fernandez

Navigating Through World’s Military Spending Data with Scroll-Event Driven Visualization , Hong Beom Hur

Evocative Visualization of Void and Fluidity , Tomiko Karino

Analyzing Relationships with Machine Learning , Oscar Ko

Analyzing ‘Fight the Power’ Part 1: Music and Longevity Across Evolving Marketing Eras , Shokolatte Tachikawa

Stand-up Comedy Visualized , Berna Yenidogan

Dissertations/Theses/Capstones from 2022 2022

El Ritmo del Westside: Exploring the Musical Landscape of San Antonio’s Historic Westside , Valeria Alderete

A Comparison of Machine Learning Techniques for Validating Students’ Proficiency in Mathematics , Alexander Avdeev

A Machine Learning Approach to Predicting the Onset of Type II Diabetes in a Sample of Pima Indian Women , Meriem Benarbia

Disrepair, Displacement and Distress: Finding Housing Stories Through Data Visualizations , Jennifer Cheng

Blockchain: Key Principles , Nadezda Chikurova

Data for Power: A Visual Tool for Organizing Unions , Shay Culpepper

Happiness From a Different Perspective , Suparna Das

Happiness and Policy Implications: A Sociological View , Sarah M. Kahl

Heating Fire Incidents in New York City , Merissa K. Lissade

NYC vs. Covid-19: The Human and Financial Resources Deployed to Fight the Most Expensive Health Emergency in History in NYC during the Year 2020 , Elmer A. Maldonado Ramirez

Slices of the Big Apple: A Visual Explanation and Analysis of the New York City Budget , Joanne Ramadani

The Value of NFTs , Angelina Tham

Air Pollution, Climate Change, and Our Health , Kathia Vargas Feliz

Peru's Fishmeal Industry: Its Societal and Environmental Impact , Angel Vizurraga

Why, New York City? Gauging the Quality of Life Through the Thoughts of Tweeters , Sheryl Williams

Dissertations/Theses/Capstones from 2021 2021

Data Analysis and Visualization to Dismantle Gender Discrimination in the Field of Technology , Quinn Bolewicki

Remaking Cinema: Black Hollywood Films, Filmmakers, and Finances , Kiana A. Carrington

Detecting Stance on Covid-19 Vaccine in a Polarized Media , Rodica Ceslov

Dota 2 Hero Selection Analysis , Zhan Gong

An Analysis of Machine Learning Techniques for Economic Recession Prediction , Sheridan Kamal

Black Women in Romance , Vianny C. Lugo Aracena

The Public Innovations Explorer: A Geo-Spatial & Linked-Data Visualization Platform For Publicly Funded Innovation Research In The United States , Seth Schimmel

Making Space for Unquantifiable Data: Hand-drawn Data Visualization , Eva Sibinga

Who Pays? New York State Political Donor Matching with Machine Learning , Annalisa Wilde

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Unlocking Insights: A Modular Approach to Data Visualization Education with the Data Visualization Capacity Tool

The present era of industrial growth, along with the rise in big data, has led to an increase in the demand for data-savvy professionals employing visualization techniques and software to fully leverage the value of this data. Since data visualization is an expansive and intricate field, it leads to challenges for novice learners as they seek to understand it. The Data Visualization Capacity (DVC) Tool is an online learning platform designed to enhance data visualization literacy amongst learners. The DVC Tool encompasses fundamental principles and techniques essential for proficient data visualization, by including external resources, quizzes, and tutorials in a distance-based modular format.

This study investigates the usability of the DVC Tool using a mixed-methods approach combining quantitative analysis of Google Analytics data, System Usability Scale (SUS) questionnaires, and qualitative insights from usability testing sessions and interviews. The research aims to assess the effectiveness of the DVC Tool across diverse user profiles and identify strategies for optimizing user experience. User studies were conducted with participants from various backgrounds and experience in data visualization to gain insight into the strengths and weaknesses of the DVC Tool, as well as gain recommendations for effective learning strategies and user experience design. The findings reveal a high overall usability rating for the DVC Tool, with users from various educational backgrounds and levels of expertise expressing satisfaction with its functionality and organization. The SUS usability scores indicate a mean usability score of 81.8, highlighting the tool's effectiveness in providing a user-friendly learning experience for all users across diverse profiles. Interviews also give insight into the importance of clear organization, visual aids, and custom learning plans to enhance the learning experience of the student.

In general, this research contributes to the advancement of data visualization education by providing insights into effective instructional strategies and components of digital learning platforms. The findings offer practical implications for educators and developers looking to enhance data visualization literacy among learners, while also addressing theoretical gaps in usability research within the field.

Degree Type

• Master of Science
• Computer Graphics Technology

Campus location

• West Lafayette

Advisor/Supervisor/Committee Chair

Additional committee member 2, additional committee member 3, usage metrics.

• Professional education and training
• Curriculum and pedagogy theory and development
• Creative arts, media and communication curriculum and pedagogy

Query, Analysis, and Visualization of Multidimensional Databases

Dissertation:, products and software:, related papers:.

Visualization Analysis and Research of Scientific Papers and Thesis in University

• Conference paper
• First Online: 01 January 2013
• pp 2135–2142
• Cite this conference paper

• Jiangning Xie 5 ,
• Xueqing Li 5 ,
• Lei Wang 6 &

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 269))

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The study about visualization of paper has been developed abroad in the recent few years. To analysis the thesis status and track research hotspots in universities, we propose an effective visualization method based on some techniques and utilities. A combined method of the data integration, data mining and visualization analysis is applied to analyze thesis keywords and citation. We use model-driven approach to design and build the scientific data integration and data mining platform. And a visible data analysis method is outlined to reveal research hotspot and conceptual graph.

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Chen X, Dong Z (2009) Analysis of the constituent elements of the post-graduate training mode. Acad Degrees Graduate Educ 11:4–7

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Mizoguchi F (2000) Anomaly detection using visualization and machine learning. In: Proceedings of IEEE 9th international workshops on 14–16 June 2000, pp 165–170

Zhang N, Jia Z, Shi Z (2002) ETL in database system. Comput Eng Appl 38(24):213–216

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Bostock M, Ogievetsky V, Heer J (2011) D3: data-driven documents. IEEE Trans Vis Comp Graph (Proc Info Vis)

Chen C (2005) Measuring the movement of a research paradigm. Vislization and data analysis (VDA 2005), San Jose, (5669), pp 63–76

Iyengar S (2001) XML METADATA interchange(OMG XMI) distributed metadata interchange for the WEB generation. Meta Data Conf 5(4):19–22

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Author information

Authors and affiliations.

The Department of Computer Science and Technology, Shandong University, Jinan, 250101, Shandong, China

Jiangning Xie & Xueqing Li

Weifang University, Weifang, Shandong, China

Qingdao University of Science and Technology, Qingdao, Shandong, China

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Corresponding author

Correspondence to Jiangning Xie .

Editor information

Editors and affiliations.

Cognitive Science, Xiamen University, Xiamen, People's Republic of China

Human Informatics and Cognitive Sciences, Waseda University Networked Information Systems Lab, Waseda, Japan

School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido, Japan

Xiaohong Jiang

Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

James J. (Jong Hyuk) Park

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© 2014 Springer Science+Business Media Dordrecht

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Xie, J., Li, X., Wang, L., Tao, Y. (2014). Visualization Analysis and Research of Scientific Papers and Thesis in University. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_258

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DOI : https://doi.org/10.1007/978-94-007-7618-0_258

Published : 06 December 2013

Publisher Name : Springer, Dordrecht

Print ISBN : 978-94-007-7617-3

Online ISBN : 978-94-007-7618-0

eBook Packages : Engineering Engineering (R0)

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Bringing Data Visualizations to the Humanities Dissertation

In my previous posts, I’ve provided an introduction to the field of data visualizations—outlining both what they are and what they are used for. In this post, I discuss what data visualizations have added to my own research before addressing the specifics of the project I’m currently conducting as part of my internship with the Center for Digital Humanities and which will eventually be included in my own dissertation.

My dissertation, “Hideous Progenitors: Queer Reproduction from Frankenstein to Fanfic,” traces examples of queer family-making through the trope of male pregnancy in literature, film, and born-digital works. As indicated by the title of my dissertation, one chapter looks solely at the field of fanfiction; in order to navigate these works, I’ve relied on data visualizations, finding that they allow me to explain this fanfic trope to readers who might be otherwise unfamiliar with these texts.

Fig. 1, for example, highlights the most prominent tags (referring to a fan practice to organize texts) of over 1,400 works from the MTV series Teen Wolf fandom in which male pregnancy is incorporated into the narrative. At a glance, viewers are able to gain insights to these writings that might remain unclear even for those willing to spend weeks navigating a fanfiction repository site like Archive of Our Own (AO3). In this way, data visualizations offer an alternative means of “reading” a text—one that can be useful for understanding a non-canonical corpus.

Figure 1. Most frequent tags in Teen Wolf mpreg fanfiction.

Through my internship with the Center for Digital Humanities, I have continued to delve into data visualizations, their uses, and the tools that can help humanities scholars like me to create them. 

In putting this knowledge to work, I’ve begun to explore options for creating additional data visualizations for my dissertation. This more recent project responds to the large gaps I noticed in my own scholarship. While each chapter of my dissertation looks to a prominent example of the male pregnancy trope, I felt that it inadequately covered the trope’s overall trajectory.

Thinking of the ways that data visualizations can offer viewers a more complete picture at a glance, I decided to create a timeline to track the male pregnancy narratives that I had come across. These texts (ranging from drama to novels to video games) covered the span of twelve centuries.

Figure 2. Prototype tracing the male pregnancy trope. Each post-it is a single textual example.

In initially constructing my visualization, I prototyped an analog model mapping each text through individual post-it notes (fig. 2). While creating this prototype, I came to several realizations. Although post-its made it easy to shift around my data in order to make room for additional examples, I recognized that a digital tool would allow an easier means to this form of manipulation and editing. Additionally, I realized that many of my examples might only be identified loosely within the male pregnancy trope. The yellow post-it notes in fig. 2 illustrate these instances and the off-shoots they create.

Turning to digital platforms, I then created a timeline through Tiki-Toki that allowed for an easier method of adding and subtracting individual texts (fig. 3). Another benefit of this platform was that it more visibly drew attention to pieces of metadata that I wished to include. I was able to color-code the “category” of different texts, for example (whether they came from literature, film, drama, etc.), and supplement each event on my timeline with additional information about the text through drop-down menus.

Figure 3. Screenshot of male pregnancy timeline created through Tiki-Toki.

Both this visualization and the one before it, however, should be thought of as prototypes. I’m not quite satisfied with either of them. While I was able to add more useful information with the digital timeline, for example, I lost the structure that was available in my analog format.

Thus, each prototype helps me to not only understand more of the connections between my texts, but they also shape how I desire to present these connections. As I continue to experiment with different platforms, I hope to land on one that allows for both spatial flexibility and greater access to categorical trajectories and additional information.

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• One Last Data Visualization as an Inaugural CDH Intern - May 29, 2020
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Congratulations to This Year’s Undergraduate Research Award Winners

Eleven students have won 2023-2024 University Libraries Undergraduate Research Awards

This year’s submissions emphasized two important aspects of academic library research: the use of peer reviewed and primary sources.

• Students used the limits in Find It@USC and specialized databases to filter results to peer reviewed.
• Primary sources included articles reporting original research on moth pheromones, popular newspaper and magazine articles from the time, sermons, and personal correspondence.
• Beyond sources available online through University Libraries, students used physical materials from the Irvin Department of Rare Books & Special Collections, the South Caroliniana Library and Thomas Cooper Library. They also traveled to archives and borrowed books using PASCAL Delivers and Interlibrary Loan.

The record number of recipients were selected by a six-member review panel made up of Libraries faculty and teaching faculty from across campus. The winners received a monetary award and a personalized award certificate. Their achievements will be recognized with a placard displayed in Scholars Corner in Thomas Cooper Library until next academic year’s winners are announced.

Garnet Track (juniors and seniors)

First Place ($500), Ava Gartman , a graduating senior majoring in History and English, for “Dressing the Future He Creates: Women’s Fashion in the Space Age,” a South Carolina Honors College senior research thesis. Carol Harrison, History, is the supporting faculty member.

  Second Place ($400), Allison Fletcher , a rising senior majoring in Biochemistry and Molecular Biology and Environmental Studies, for “The Ecological Implications of Sex Pheromone Biochemistry in Moths,” a term paper for Biology 599 (Insect Ecology). Eric LoPresti, Biological Sciences, is the supporting faculty member.

Honorable Mention ($75), Scottie Greene , a graduating senior majoring in History and Political Science, for “She'll be Coming 'Round the Mountain: Dr. Hilla Sheriff's Public Health Work in the South Carolina Piedmont,” a South Carolina Honors College senior research thesis. Lauren Sklaroff, History, is the supporting faculty member.

Honorable Mention ($75), Fatima Jatoi , a graduating senior majoring in Psychology, for “Coping with Racial Trauma: Exploring Moderators and Health Outcomes,” a South Carolina Honors College senior research thesis. Daniel Cooper, Psychology, is the supporting faculty member.

Honorable Mention ($75), Reilly Kocian , a graduating senior majoring in Public Health with a minor in Neuroscience, for “The Intertwined Effects of Exercise and Sleep on Cognition in an Older Adult Population,” a South Carolina Honors College senior research thesis. Jean Neils-Strunjas, Public Health, is the supporting faculty member.

Honorable Mention ($75), Gracie Vess , a graduating senior majoring in History, for “A Covenant People: Providentialism in Seventeenth-Century New England and its Impact on the Development of the Salem Village Witch Trials,” a South Carolina Honors College senior research thesis. Andrew Berns, History, is the supporting faculty member.

Black Track (freshman and sophomores)

First Place ($150), Amelia Gay , a rising junior majoring in History and Journalism, for “Catherine Leroy and the Gendered Use of the Leica M2 Camera During the Vietnam War,” a History 300 course research paper. Allison Marsh, History, is the supporting faculty member.

Co-Second Place ($75), Anna Kate Dyson , a rising sophomore majoring in Business Management, for “Disney Was Truly ‘Almost There’: The Controversy of Racial Representation in The Princess and the Frog,” a South Carolina Honors College English 102 course. Erica Fischer, English, is the supporting faculty member.

Co-Second Place ($75), Josh Prioleau , a rising sophomore majoring in Physics, for “Healing the Cost Crisis: Advancing Universal Healthcare,” an English 102 research paper. Leanna Herbert, English, is the supporting faculty.

Honorable Mention ($50), Megan Furey , a rising sophomore majoring in Marketing on the Pre-Business track, for “Transformation of Spaces for Equality,” a South Carolina Honors College English 102 research paper. Erica Fischer, English, is the supporting faculty member.

Honorable Mention ($50), Adrianna Staniszewski , a rising sophomore majoring in Nursing, for “Comparing and Contrasting Nursing in World War I and World War II” a South Carolina Honors College class research paper. Rebecca Stern, English, is the supporting faculty member.

The University Libraries Undergraduate Research Awards reward excellence in undergraduate use of library resources and services and demonstrate the contribution of the Libraries to student learning. They highlight the value of information literacy by requiring students to describe their research process as part of the application procedure and encourage faculty to create assignments that engage students in the use of library resources. Since the start of the awards 17 years ago, 74 students have been recognized with more than $22,000 in monetary prizes.

The winners contribute their projects to Scholar Commons, the institutional repository to preserve, collect and disseminate the research and scholarship of the University of South Carolina.

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