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Exploratory data analysis and display

Lookup NU author(s): Professor Steve Juggins, Dr Richard Telford

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Abstract

Exploratory data analysis (EDA) is an essential first step in numerical or statistical analysis of palaeolimnological data. The main functions of EDA are exploration, analysis and model diagnosis, and presentation and communication. The main tools of EDA are graphical tools such as histograms, box-plots, scatter-plots, pie-charts, smoothers, co-plots, and scatter-plot matrices. EDA also considers questions of data transformation, outlier detection and treatment, and missing values. Quality of graphical presentation is also discussed and appropriate computer software is outlined. Careful and creative graphical EDA can be a great aid in data-exploration and in hypothesis-generation.


Publication metadata

Author(s): Juggins S, Telford RJ

Editor(s): Birks, H.J.B.; Lotter, A.F.; Juggins, S.; Smol, J.P.

Publication type: Book Chapter

Book Title: Tracking Environmental Change using Lake Sediments: Data Handling and Statistical Techniques

Year: 2012

Volume: 5

Pages: 123-142

Series Title: Developments in Paleoenvironmental Research, Vol. 5

Publisher: Springer

Place Published: Dordrecht

Library holdings: Search Newcastle University Library for this item

ISBN: 9789400727441


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