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The grammar of graphics / Leland Wilkinson.

By: Material type: TextTextSeries: Statistics and computingPublication details: New York : Springer Science, c2005.Edition: 2nd edDescription: xviii, 690 p. : ill. (chiefly ill.) ; 25 cmISBN:
  • 0387245448 (hbk.)
  • 9780387245447 (hbk.)
Subject(s): DDC classification:
  • 001.4226 WIL 22 004396
LOC classification:
  • QA276.3 .W55 2005
Online resources:
Contents:
1. Introduction -- 2. How to make a pie -- 3. Data -- 4. Variables -- 5. Algebra -- 6. Scales -- 7. Statistics -- 8. Geometry -- 9. Coordinates -- 10. Aesthetics -- 11. Facets -- 12. Guides -- 13. Space -- 14. Time -- 15. Uncertainty -- 16. Analysis -- 17. Control -- 18. Automation -- 19. Reader -- 20. Coda.
Review: "This book was written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. While the tangible results of this work have been several visualization software libraries, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. The second edition is almost twice the size of the original, with six new chapters and substantial revision. Much of the added material makes this book suitable for survey courses in visualization and statistical graphics."--BOOK JACKET.
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Holdings
Item type Current library Call number Status Date due Barcode
Book Book Indian Institute for Human Settlements, Bangalore 001.4226 WIL 004396 (Browse shelf(Opens below)) Available 004396

Includes bibliographical references (p. [635]-671) and indexes.

1. Introduction -- 2. How to make a pie -- 3. Data -- 4. Variables -- 5. Algebra -- 6. Scales -- 7. Statistics -- 8. Geometry -- 9. Coordinates -- 10. Aesthetics -- 11. Facets -- 12. Guides -- 13. Space -- 14. Time -- 15. Uncertainty -- 16. Analysis -- 17. Control -- 18. Automation -- 19. Reader -- 20. Coda.

"This book was written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. While the tangible results of this work have been several visualization software libraries, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. The second edition is almost twice the size of the original, with six new chapters and substantial revision. Much of the added material makes this book suitable for survey courses in visualization and statistical graphics."--BOOK JACKET.

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