Exploratory data analysis and display

  1. Lookup NU author(s)
  2. Dr Steve Juggins
  3. Dr Richard Telford
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 TitleTracking Environmental Change using Lake Sediments: Data Handling and Statistical Techniques
Series TitleDevelopments in Paleoenvironmental Research, Vol. 5
Year2012
Volume5
Pages123-142
ISBN9789400727441
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.
PublisherSpringer
Place PublishedDordrecht
ActionsLink to this publication
Library holdingsSearch Newcastle University Library for this item