Browse by author
Lookup NU author(s): Emeritus Professor Steve Juggins,
Dr Richard Telford
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
Author(s): Juggins S, Telford RJ
Editor(s): Birks, H.J.B.; Lotter, A.F.; Juggins, S.; Smol, J.P.
Publication type: Book Chapter
Publication status: Published
Book Title: Tracking Environmental Change using Lake Sediments: Data Handling and Statistical Techniques
Series Title: Developments in Paleoenvironmental Research, Vol. 5
Place Published: Dordrecht
Library holdings: Search Newcastle University Library for this item