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Graphical Exploratory Data Analysis

  • Textbook
  • © 1986

Overview

Authors:
  1. S. H. C. Toit

    1. Institute for Statistical Research, Human Sciences Research Council, Pretoria, South Africa

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  2. A. G. W. Steyn

    1. Institute for Statistical Research, Human Sciences Research Council, Pretoria, South Africa

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    You can also search for this author in PubMed   Google Scholar

  3. R. H. Stumpf

    1. Institute for Statistical Research, Human Sciences Research Council, Pretoria, South Africa

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Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. The Role of Graphics in Data Exploration

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 1-12

  3. Graphics for Univariate and Bivariate Data

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 13-35

  4. Graphics for Selecting a Probability Model

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 36-53

  5. Visual Representation of Multivariate Data

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 54-72

  6. Cluster Analysis

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 73-104

  7. Multidimensional Scaling

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 105-175

  8. Graphical Representations in Regression Analysis

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 176-223

  9. CHAID and XAID: Exploratory Techniques for Analyzing Extensive Data Sets

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 224-244

  10. Control Charts

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 245-263

  11. Time Series Representations

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 264-282

  12. Further Useful Graphics

    • S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 283-299

  13. Back Matter

    Pages 300-304
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Keywords

About this book

Portraying data graphically certainly contributes toward a clearer and more penetrative understanding of data and also makes sophisticated statistical data analyses more marketable. This realization has emerged from many years of experience in teaching students, in research, and especially from engaging in statistical consulting work in a variety of subject fields. Consequently, we were somewhat surprised to discover that a comprehen­ sive, yet simple presentation of graphical exploratory techniques for the data analyst was not available. Generally books on the subject were either too incomplete, stopping at a histogram or pie chart, or were too technical and specialized and not linked to readily available computer programs. Many of these graphical techniques have furthermore only recently appeared in statis­ tical journals and are thus not easily accessible to the statistically unsophis­ ticated data analyst. This book, therefore, attempts to give a sound overview of most of the well-known and widely used methods of analyzing and portraying data graph­ ically. Throughout the book the emphasis is on exploratory techniques. Real­ izing the futility of presenting these methods without the necessary computer programs to actually perform them, we endeavored to provide working com­ puter programs in almost every case. Graphic representations are illustrated throughout by making use of real-life data. Two such data sets are frequently used throughout the text. In realizing the aims set out above we avoided intricate theoretical derivations and explanations but we nevertheless are convinced that this book will be of inestimable value even to a trained statistician.

Authors and Affiliations

  • Institute for Statistical Research, Human Sciences Research Council, Pretoria, South Africa

    S. H. C. Toit, A. G. W. Steyn, R. H. Stumpf

Bibliographic Information

  • Book Title: Graphical Exploratory Data Analysis

  • Authors: S. H. C. Toit, A. G. W. Steyn, R. H. Stumpf

  • Series Title: Springer Texts in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-4950-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1986

  • Softcover ISBN: 978-1-4612-9371-2Published: 01 October 2011

  • eBook ISBN: 978-1-4612-4950-4Published: 06 December 2012

  • Series ISSN: 1431-875X

  • Series E-ISSN: 2197-4136

  • Edition Number: 1

  • Number of Pages: IX, 314

  • Topics: Statistical Theory and Methods

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