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.

翻译：在数据充斥的世界中，国家基于数据做出决策是理所当然的。然而，各国首先需要以对公民和政策制定者均有意义的方式收集并发布此类数据。良好的主题分类有助于用户在丰富的数据存储库（如哥伦比亚国家统计局（DANE）收集的数据）中导航并找到合适的资源。可视化分析框架是由T. Munzner等人提出的视觉分析方法论[T. Munzner, Visualization Analysis and Design, A K Peters Visualization Series, 1, 2014]，可助力完成此项任务。本文展示了一项应用该框架的案例研究，旨在帮助DANE更好地可视化其数据存储库，并呈现更易理解的分类体系。研究阐述了三个主要分析任务、提出的解决方案，以及由此产生的见解集合。