A Cognitive Interpretation of Data Analysis
A Cognitive Interpretation of Data Analysis
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DOI：
10.1111/insr.12028
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发表时间：
2014-08
影响因子：
2
通讯作者：
Garrett Grolemund;H. Wickham
中科院分区：
文献类型：
--
作者：
Garrett Grolemund;H. Wickham
本文提出了一个科学的模型来解释分析过程。我们认为，数据分析主要是一个建立理解的过程，因此，它与人类思维的认知过程相吻合。数据分析任务与被称为意义建构的认知过程非常相似。我们展示了数据分析是如何适应使用定量数据的意义建构任务。这种识别突出了数据分析活动中的通用结构，并为数据分析理论提供了基础。认知兼容性和科学严谨性之间的矛盾产生了一系列问题，困扰着数据分析过程。这些问题形成了一个有用的数据分析任务的组织模型，同时允许方法保持灵活性和情况依赖性。该模型的见解对咨询师，应用统计学家和数据分析教师特别有帮助。
This paper proposes a scientific model to explain the analysis process. We argue that data analysis is primarily a procedure to build understanding, and as such, it dovetails with the cognitive processes of the human mind. Data analysis tasks closely resemble the cognitive process known as sensemaking. We demonstrate how data analysis is a sensemaking task adapted to use quantitative data. This identification highlights a universal structure within data analysis activities and provides a foundation for a theory of data analysis. The competing tensions of cognitive compatibility and scientific rigour create a series of problems that characterise the data analysis process. These problems form a useful organising model for the data analysis task while allowing methods to remain flexible and situation dependent. The insights of this model are especially helpful for consultants, applied statisticians and teachers of data analysis.