Exploratory data analysis

descriptionPublicationkeyboard_double_arrow_right Article 30 Jun 2009 English Publisher:WileyJournal:WIREs Computational Statistics, volume 1, pages 33-44 (issn: 1939-5108, eissn: 1939-0068,

Copyright policy )

Authors: Morgenthaler, Stephan;

doi: 10.1002/wics.2

Exploratory data analysis

- Summary
- Subjects
- Metrics

Abstract

AbstractExploratory data analysis, or EDA for short, is a term coined by John W. Tukey for describing the act of looking at data to see what it seems to say. This article gives a description of some typical EDA procedures and discusses some of the principles of EDA. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under: Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization

Related Organizations

École Polytechnique Fédérale de Lausanne EPFL
Switzerland

Keywords

Statistics and Probability

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	95
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average