Advertisement

Graphical Exploratory Data Analysis

  • S. H. C. du Toit
  • A. G. W. Steyn
  • R. H. Stumpf

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

Table of contents

  1. Front Matter
    Pages i-ix
  2. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 1-12
  3. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 13-35
  4. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 36-53
  5. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 54-72
  6. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 73-104
  7. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 105-175
  8. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 176-223
  9. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 224-244
  10. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 245-263
  11. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 264-282
  12. S. H. C. du Toit, A. G. W. Steyn, R. H. Stumpf
    Pages 283-299
  13. Back Matter
    Pages 300-304

About this book

Introduction

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.

Keywords

Microsoft Access Statistica Variance analysis of variance cluster analysis correspondence analysis data analysis multidimensional scaling principal component analysis probability regression analysis set sets time series utility

Authors and affiliations

  • S. H. C. du Toit
    • 1
  • A. G. W. Steyn
    • 1
  • R. H. Stumpf
    • 1
  1. 1.Institute for Statistical ResearchHuman Sciences Research CouncilPretoriaSouth Africa

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-4950-4
  • Copyright Information Springer-Verlag New York 1986
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9371-2
  • Online ISBN 978-1-4612-4950-4
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site
Industry Sectors
Pharma
Materials & Steel
Biotechnology
Finance, Business & Banking
IT & Software
Telecommunications
Consumer Packaged Goods
Aerospace
Engineering