Chapter 8. Comparing Data in Tables and Graphics

  1. Clemens Reimann M.Sc. in Mineralogy and Petrology, Ph.D. in Geosciences, D.Sc. in Applied Geochemistry lecturer senior geochemist director professor chairman acting vice president associate editor1,
  2. Peter Filzmoser Applied Mathematics visiting professor2,
  3. Robert G. Garrett Mining Geology and Applied Geochemistry Emeritus Scientist3 and
  4. Rudolf Dutter M.Sc., Ph.D. senior statistician full professor post-doctoral fellow2

Published Online: 18 APR 2008

DOI: 10.1002/9780470987605.ch8

Statistical Data Analysis Explained: Applied Environmental Statistics with R

Statistical Data Analysis Explained: Applied Environmental Statistics with R

How to Cite

Reimann, C., Filzmoser, P., Garrett, R. G. and Dutter, R. (2008) Comparing Data in Tables and Graphics, in Statistical Data Analysis Explained: Applied Environmental Statistics with R, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470987605.ch8

Author Information

  1. 1

    Geological Survey of Norway, Norway

  2. 2

    Vienna University of Technology, Austria

  3. 3

    Geological Survey of Canada, Canada

Publication History

  1. Published Online: 18 APR 2008
  2. Published Print: 4 APR 2008

ISBN Information

Print ISBN: 9780470985816

Online ISBN: 9780470987605

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Keywords:

  • data analysis and data comparison;
  • tables and graphics - data comparison;
  • MEDIAN ratio O-/C-horizon;
  • spatial data structure comparison;
  • subset creation – graphical data analysis tool;
  • scatterplot dataset;
  • time and spatial trend diagram data subset;
  • ternary plot data subset;
  • scatterplot data subset matrix

Summary

This chapter contains sections titled:

  • Comparing data in tables

  • Graphical comparison of the data distributions of several data sets

  • Comparing the spatial data structure

  • Subset creation – a mighty tool in graphical data analysis

  • Data subsets in scatterplots

  • Data subsets in time and spatial trend diagrams

  • Data subsets in ternary plots

  • Data subsets in the scatterplot matrix

  • Data subsets in maps

  • Summary