A systematic view on data descriptors for the visual analysis of tabular data
A systematic view on data descriptors for the visual analysis of tabular data
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用于表格数据可视化分析的数据描述符的系统视图
DOI：
10.1177/1473871616667767
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发表时间：
2017
影响因子：
2.3
通讯作者：
H. Schumann
中科院分区：
文献类型：
--
作者：
Hans;T. Nocke;M. Heitzler;H. Schumann
可视化已经成为数据分析的重要组成部分，支持用户探索数据和确认假设。在可视化数据分析过程的开始，通常在初始数据分析步骤中评估数据特征。例如，这些包括数据的统计属性和关于数据格式良好性的信息，这些信息可在随后的分析中用于充分参数化视图并突出显示或排除数据项。我们将这些信息称为数据描述符，它可以跨越数据的出处、存储模式或不确定性等不同方面。收集的描述符封装了关于数据的基本知识，因此可以用作可视化分析过程的客观起点。在本文中，我们以系统的形式将这些不同的方面结合在一起，描述数据本身（例如其内容和背景）及其与更大的数据收集和可视化分析过程（例如其来源和效用）的关系。一旦建立了一般，我们进一步详细的数据描述符的概念，专门为表格数据作为当今最常见的结构化数据的形式。最后，我们利用这些数据描述符的表格数据，以捕捉特定领域的气候影响研究领域的数据特征。这个从一般概念到具体数据类型再到特定应用程序域的过程有效地为将来实例化其他数据类型和域的数据描述符提供了蓝图。
Visualization has become an important ingredient of data analysis, supporting users in exploring data and confirming hypotheses. At the beginning of a visual data analysis process, data characteristics are often assessed in an initial data profiling step. These include, for example, statistical properties of the data and information on the data’s well-formedness, which can be used during the subsequent analysis to adequately parametrize views and to highlight or exclude data items. We term this information data descriptors, which can span such diverse aspects as the data’s provenance, its storage schema, or its uncertainties. Gathered descriptors encapsulate basic knowledge about the data and can thus be used as objective starting points for the visual analysis process. In this article, we bring together these different aspects in a systematic form that describes the data itself (e.g. its content and context) and its relation to the larger data gathering and visual analysis process (e.g. its provenance and its utility). Once established in general, we further detail the concept of data descriptors specifically for tabular data as the most common form of structured data today. Finally, we utilize these data descriptors for tabular data to capture domain-specific data characteristics in the field of climate impact research. This procedure from the general concept via the concrete data type to the specific application domain effectively provides a blueprint for instantiating data descriptors for other data types and domains in the future.
DOI：
--
发表时间：
2011
期刊：
ICIQ 2011 - Proceedings of the 16th International Conference on Information Quality
影响因子：
--
作者：
Borek A
通讯作者：
Borek A