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

arXiv - CS - Information Theory Pub Date : 2024-01-29 DOI:arxiv-2401.15994

Pierre RaimbaudUNIANDES, Jaime Camilo Espitia CastilloUNIANDES, John Guerra-GomezNortheastern University, Silicon Valley Campus

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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.

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哥伦比亚国家统计局新分类系统的提取和可视化。可视化分析框架案例研究

在一个充满数据的世界里，人们期待一个国家根据数据做出决策。然而，各国首先需要收集和发布对公民和决策者都有意义的数据。一个好的主题分类可以帮助用户在丰富的数据资源库中导航并找到正确的资源，哥伦比亚国家统计局（DANE）就收集了大量的数据。可视化分析框架（Visual AnalyticsFramework）是 T.Munzner 等人开发的一种进行可视化分析的方法[T. Munzner, Visualization Analysis and Visualization Analytics]。Munzner，《可视化分析与设计》，A K PetersVisualization Series，1，2014 年]开发的一种进行可视化分析的方法，可以帮助完成这项任务。本文介绍了一项应用此类框架的案例研究，该研究旨在帮助 DANE 更好地可视化其数据存储库，并对其进行更易于理解的分类。本文介绍了确定的三项主要分析任务、建议的解决方案以及从中收集的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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arXiv - CS - Information Theory

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