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Exploratory data analysis and display
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Dr Steve Juggins
Dr Richard Telford
Juggins S, Telford RJ
Birks, H.J.B.; Lotter, A.F.; Juggins, S.; Smol, J.P.
Tracking Environmental Change using Lake Sediments: Data Handling and Statistical Techniques
Developments in Paleoenvironmental Research, Vol. 5
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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.
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