“Paths in Education”: A Case Study on Integrating Statistical Data and Qualitative Narratives Using Data Visualization

This case study explores a novel approach to data visualization that integrates statistical data with qualitative narratives, guided by the principles of data feminism and data humanism. The narrative, titled "Paths in Education," focuses on secondary education in Uruguay, a country where almost half of young adults have not completed mandatory education. Through a combination of quantitative analysis and interviews, the narrative is presented on an interactive scrollytelling website. This article discusses the critical visualization theories that inspired the chosen approach, the methodologies used for data collection and analysis, and the design process. It also discusses how the project relates to data feminism and humanism, as well as some lessons learned.

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Publication Details

Journal
IEEE Computer Graphics and Applications
Published
2025-05-07
DOI
https://doi.org/10.1109/mcg.2025.3565890
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

“Paths in Education”: A Case Study on Integrating Statistical Data and Qualitative Narratives Using Data Visualization

Paula Lago, Stuart King
IEEE Computer Graphics and Applications
Computational and Text Analysis Methods
article

“Paths in Education”: A Case Study on Integrating Statistical Data and Qualitative Narratives Using Data Visualization

Paula Lago, Stuart King
article en

Abstract

This case study explores a novel approach to data visualization that integrates statistical data with qualitative narratives, guided by the principles of data feminism and data humanism. The narrative, titled "Paths in Education," focuses on secondary education in Uruguay, a country where almost half of young adults have not completed mandatory education. Through a combination of quantitative analysis and interviews, the narrative is presented on an interactive scrollytelling website. This article discusses the critical visualization theories that inspired the chosen approach, the methodologies used for data collection and analysis, and the design process. It also discusses how the project relates to data feminism and humanism, as well as some lessons learned.

IEEE Computer Graphics and ApplicationsVol. 45(4)
University of Edinburgh (GB)
Openalex Percentile: Top 87%
Computational and Text Analysis Methods
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