Exploratory data analysis | Zendy

Morgenthaler Stephan | Zendy

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Exploratory data analysis

Author(s) -

Morgenthaler Stephan

Publication year - 2009

Publication title -

wiley interdisciplinary reviews: computational statistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.693

H-Index - 38

eISSN - 1939-0068

pISSN - 1939-5108

DOI - 10.1002/wics.2

Subject(s) - exploratory data analysis , exploratory analysis , statistical analysis , computer science , graphics , visualization , statistical graphics , data visualization , data science , data exploration , term (time) , exploratory research , data mining , computer graphics (images) , statistics , mathematics , sociology , physics , quantum mechanics , anthropology

Exploratory 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

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