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Handbook of Data Visualization

  • Chun-houh Chen
  • Wolfgang Härdle
  • Antony Unwin

Part of the Springer Handbooks Comp.Statistics book series (SHCS)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Data Visualization

    1. Front Matter
      Pages 1-1
    2. Antony Unwin, Chun-houh Chen, Wolfgang Härdle
      Pages 3-12
  3. Principles

    1. Front Matter
      Pages 13-13
    2. Michael Friendly
      Pages 15-56
    3. Antony Unwin
      Pages 57-78
    4. Paul Murrell
      Pages 79-101
    5. Lelend Wilkinson
      Pages 121-150
    6. Martin Theus
      Pages 151-178
    7. Adalbert Wilhelm
      Pages 199-215
    8. Graham Wills
      Pages 217-241
    9. Simon Urbanek
      Pages 243-264
  4. Methodologies

    1. Front Matter
      Pages 265-265
    2. Dianne Cook, Andreas Buja, Eun-Kyung Lee, Hadley Wickham
      Pages 295-314
    3. Michael A. A. Cox, Trevor F. Cox
      Pages 315-347
    4. Michael C. Minnotte, Stephan R. Sain, DavidW. Scott
      Pages 389-413
    5. Richard M. Heiberger, Burt Holland
      Pages 415-445
    6. Jörg Polzehl, Vladimir Spokoiny
      Pages 471-492
    7. Adrian W. Bowman
      Pages 493-538
    8. Yuan-chin Ivan Chang, Yuh-Jye Lee, Hsing-Kuo Pao, Mei-Hsien Lee, Su-Yun Huang
      Pages 539-559
    9. David Meyer, Achim Zeileis, Kurt Hornik
      Pages 589-616
    10. Heike Hofmann
      Pages 617-642
    11. Han-Ming Wu, ShengLi Tzeng, Chun-houh Chen
      Pages 681-708
    12. Jouni Kerman, Andrew Gelman, Tian Zheng, Yuejing Ding
      Pages 709-724
    13. Junji Nakano, Yoshikazu Yamamoto, Keisuke Honda
      Pages 725-756
    14. Yoshiro Yamamoto, Masaya Iizuka, Tomokazu Fujino
      Pages 757-789
  5. Selected Applications

    1. Front Matter
      Pages 791-791
    2. Grace Shwu-Rong Shieh, Chin-Yuan Guo
      Pages 793-811
    3. Antony Unwin, Martin Theus, Wolfgang Härdle
      Pages 831-852
    4. Wolfgang Härdle, Rouslan A. Moro, Dorothea Schäfer
      Pages 853-872
    5. Wolfgang Jank, Galit Shmueli, Catherine Plaisant, Ben Shneiderman
      Pages 873-898
    6. Krzysztof Burnecki, Rafał Weron
      Pages 899-920
  6. Back Matter
    Pages 921-936

About this book

Introduction

Antony Unwin, Chun-houh Chen, Wolfgang K. Härdle 1. 1 Computational Statistics and Data Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Data Visualization and Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Presentation and Exploratory Graphics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Graphics and Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1. 2 The Chapters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Summary and Overview; Part II. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Summary and Overview; Part III. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Summary and Overview; Part IV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 The Authors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1. 3 Outlook . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4 Antony Unwin, Chun-houh Chen, Wolfgang K. Härdle Computational Statistics 1. 1 and Data Visualization Tis book is the third volume of the Handbook of Computational Statistics and c- ers the ?eld of data visualization. In line with the companion volumes, it contains a collection of chapters by experts in the ?eld to present readers with an up-to-date and comprehensive overview of the state of the art. Data visualization is an active area of application and research, and this is a good time to gather together a summary of current knowledge. Graphic displays are ofen very e?ective at communicating information. Tey are also very ofen not e?ective at communicating information. Two important reasons for this state of a?airs are that graphics can be produced with a few clicks of the mouse without any thought and the design of graphics is not taken seriously in many scienti?c textbooks.

Keywords

Analysis Cluster analysis Fitting Java Projection pursuit XML best fit computer data analysis multidimensional scaling statistics visualization

Authors and affiliations

  • Chun-houh Chen
    • 1
  • Wolfgang Härdle
  • Antony Unwin
  1. 1.Academia SinicaInstitute of Statistical ScienceTaipeiTaiwan, Province of China

Bibliographic information