2024/01/29 by Pierre Raimbaud, Raimbaud, Pierre, Jaime Camilo Espitia Castillo +3
Computer Science · Social Sciences · #Communication and COVID-19 Impact #Data Visualization and Analytics #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.2401.15994
openalex publication_date 2024/01/29 · openalex created_date 2024/01/30 · openalex updated_date 2026/07/28
In a world filled with data, it is expected for a nation to take decisions informed by data. However, countries need to first collect and publish such data in a way meaningful for both citizens and policy makers. A good thematic classification could be instrumental in helping users navigate and find the right resources on a rich data repository as the one collected by Colombia's National Administrative Department of Statistics (DANE). The Visual Analytics Framework is a methodology for conducting visual analysis developed by T. Munzner et al. [T. Munzner, Visualization Analysis and Design, A K Peters Visualization Series, 1, 2014] that could help with this task. This paper presents a case study applying such framework conducted to help the DANE better visualize their data repository, and present a more understandable classification of it. It describes three main analysis tasks identified, the proposed solutions and the collection of insights generated from them.