Jump to ContentJump to Main Navigation
The Philosophy of Quantitative MethodsUnderstanding Statistics$
Users without a subscription are not able to see the full content.

Brian D. Haig

Print publication date: 2018

Print ISBN-13: 9780190222055

Published to Oxford Scholarship Online: January 2018

DOI: 10.1093/oso/9780190222055.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 29 November 2021

Exploratory Data Analysis

Exploratory Data Analysis

(p.13) 2 Exploratory Data Analysis
The Philosophy of Quantitative Methods

Brian D. Haig

Oxford University Press

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

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .