Visualization of Roll Call Data for Supporting Analyses of Political Profiles

Rodrigo Nunes Moni da Silva, A. Spritzer, C. Freitas
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引用次数: 6

Abstract

In this paper, we propose a web-based application where the user can instantiate multiple, coordinated panels for exploring data concerning the votes of representatives in Brazil's lower legislative house (the Chamber of Deputies). Open data about roll calls made available by the Chamber allowed us to build a set of interactive visualizations to let users explore deputies' votes and build an understanding of their political profiles. Based on the set of roll call voting results from 1991 to 2016, our application displays the political behaviour of parties in a timeline from which users can select periods and instantiate panels showing the political spectrum of deputies using different methods of dimensionality reduction. Deputies can be separated in clusters based on their position in the political spectrum, and other panels can be instantiated showing details about each cluster. Users can select parts of the timeline and simultaneously analyze the behavior of parties and one or more deputies. Roll calls are represented as a combination of heatmaps and histograms. We illustrate the use of the different visualization techniques in a case study on party cohesiveness over time.
支持政治档案分析的点名数据可视化
在本文中,我们提出了一个基于web的应用程序,用户可以在其中实例化多个协调的小组,以探索有关巴西下议院(众议院)代表投票的数据。众议院提供的公开唱名数据使我们能够建立一套交互式可视化系统,让用户了解代表的投票情况,并了解他们的政治概况。基于1991年至2016年的唱名投票结果集,我们的应用程序显示了政党在时间轴上的政治行为,用户可以从中选择时间段,并使用不同的降维方法实例化显示代表政治光谱的面板。代表可以根据他们在政治领域的地位来分组,并且可以实例化其他面板,显示每个分组的详细信息。用户可以选择时间轴的一部分,同时分析各方和一个或多个代表的行为。点名被表示为热图和直方图的组合。我们在一个关于政党凝聚力的案例研究中说明了不同可视化技术的使用。
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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