Exploratory Data Analysis (Classic Version), 1st edition

Published by Pearson (April 18, 2019) © 2020

  • John W. Tukey
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The approach in Exploratory Data Analysis is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are the original creations of the author, and all can be carried out either with pencil or aided by hand-held calculator. This title is part of the Pearson Modern Classics series; Pearson Modern Classics are acclaimed titles for advanced statistics and mathematics at a value price.  

  1. Scratching Down Numbers (stem-and-leaf).
  2. Schematic Summaries (pictures and numbers).
  3. Easy Re-Expression (including well-chosen expression).
  4. Plots of Relationship.
  5. Straightening Out Plots (using three points).
  6. Smoothing Sequences.
  7. Parallel and Wandering Schematic Plots.
  8. Delineations of Batches and Points.
  9. Using Two-Way Analyses.
  10. Making Two-Way Analyses.
  11. Advanced Fits.
  12. Three-Way Fits.
  13. Looking in Two or More Batches of Points.
  14. Counted Fractions.
  15. Better Smoothing.
  16. Counts in Bin after Bin.
  17. Product Ratio Plots.
  18. Shapes of Distribution.
  19. Mathematical Distributions.
  20. Postscript.

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