Chapter

Exploratory Data Analysis

Brian D. Haig

in The Philosophy of Quantitative Methods

Published in print March 2018 | ISBN: 9780190222055
Published online January 2018 | e-ISBN: 9780190871734 | DOI: https://dx.doi.org/10.1093/oso/9780190222055.003.0002

Series: Understanding Statistics

Exploratory Data Analysis

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Chapter 2 is concerned with modern data analysis. It focuses primarily on the nature, role, and importance of exploratory data analysis, although it gives some attention to computer-intensive resampling methods. Exploratory data analysis is a process in which data are examined to reveal potential patterns of interest. However, the use of traditional confirmatory methods in data analysis remains the dominant practice. Different perspectives on data analysis, as they are shaped by four different accounts of scientific method, are provided. A brief discussion of John Tukey’s philosophy of teaching data analysis is presented. The chapter does not consider the more recent exploratory data analytic developments, such as the practice of statistical modeling, the employment of data-mining techniques, and more flexible resampling methods.

Keywords: exploratory data analysis; computer-intensive methods; scientific method and data analysis; John Tukey; resampling; teaching data analysis; John Behrens

Chapter.  9729 words. 

Subjects: Social Psychology

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