Extracting and visualizing a new classification system for Colombia’s National Administrative Department of Statistics. A visual analytics framework case study - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

Extracting and visualizing a new classification system for Colombia’s National Administrative Department of Statistics. A visual analytics framework case study

Résumé

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.
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hal-04418565 , version 1 (26-01-2024)

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Pierre Raimbaud, Jaime Camilo Espitia Castillo, John Guerra-Gomez. Extracting and visualizing a new classification system for Colombia’s National Administrative Department of Statistics. A visual analytics framework case study. V Jornadas Iberoamericanas de Interacción Humano-Computador 2019, Benemérita Universidad Autónoma de Puebla, Jun 2019, Puebla (Mexico), Mexico. ⟨hal-04418565⟩
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