The use of interactive applications to support the decision-making process is more common every day. However, a huge amount of data is required in order to make more informed decisions. Fortunately, with the arrival of new technologies there are many data sources available. This requirement of data causes heterogeneity and data quality problems. A set of data quality problems are reduced in the preprocessing stage. However, many data quality issues persist after the preprocessing stage. For this reason, we proposed a methodology to take the data quality problems, to represent them and simultaneously support the analysis process. In addition, an application is developed as a use case of the methodology by analyzing the public transport system in Bogotá. Furthermore, a case study is performed to test the usefulness of the developed application. As a result, the methodology made possible the development of interactive visualizations that constitute an application that is useful to achieve the analysis tasks by including data quality features.

中文翻译：

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VafusQ：一种构建具有数据质量特征的可视化分析应用程序的方法

使用交互式应用程序来支持决策过程每天都变得越来越普遍。但是，需要大量数据才能做出更明智的决策。幸运的是，随着新技术的出现，有许多可用的数据源。这种对数据的需求会导致异质性和数据质量问题。在预处理阶段减少了一组数据质量问题。然而，在预处理阶段之后，许多数据质量问题仍然存在。出于这个原因，我们提出了一种方法来处理数据质量问题，表示它们并同时支持分析过程。此外，通过分析波哥大的公共交通系统，开发了一个应用程序作为该方法的用例。此外，还进行了案例研究以测试所开发应用程序的有用性。