1. Extracting and visualizing a new classification system for Colombia's National Administrative Department of Statistics. A visual analytics framework case study
- Author
-
Raimbaud, Pierre, Castillo, Jaime Camilo Espitia, and Guerra-Gomez, John
- Subjects
Computer Science - Human-Computer Interaction ,Computer Science - Information Theory - Abstract
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., Comment: V Jornadas Iberoamericanas de Interacci{\'o}n Humano-Computador 2019, Benem{\'e}rita Universidad Aut{\'o}noma de Puebla, Jun 2019, Puebla (Mexico), Mexico
- Published
- 2024