000 04584nam a22004935i 4500
001 978-0-387-28695-2
003 DE-He213
005 20161121230926.0
007 cr nn 008mamaa
008 100301s2005 xxu| s |||| 0|eng d
020 _a9780387286952
_9978-0-387-28695-2
024 7 _a10.1007/0-387-28695-0
_2doi
050 4 _aQA276-280
072 7 _aUFM
_2bicssc
072 7 _aCOM077000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aWilkinson, Leland.
_eauthor.
245 1 4 _aThe Grammar of Graphics
_h[electronic resource] /
_cby Leland Wilkinson.
250 _aSecond Edition.
264 1 _aNew York, NY :
_bSpringer New York,
_c2005.
300 _aXVIII, 691 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics and Computing,
_x1431-8784
505 0 _aSyntax -- How To Make a Pie -- Data -- Variables -- Algebra -- Scales -- Statistics -- Geometry -- Coordinates -- Aesthetics -- Facets -- Guides -- Semantics -- Space -- Time -- Uncertainty -- Analysis -- Control -- Automation -- Reader -- Coda.
520 _aThis 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. From reviews of the first edition: "Destined to become a landmark in statistical graphics, this book provides a formal description of graphics, particularly static graphics, playing much the same role for graphics as probability theory played for statistics." Journal of the American Statistical Association "Wilkinson’s careful scholarship shows around every corner. This is a tour de force of the highest order." Psychometrika "All geography and map libraries should add this book to their collections; the serious scholar of quantitative data graphics will place this book on the same shelf with those by Edward Tufte, and volumes by Cleveland, Bertin, Monmonier, MacEachren, among others, and continue the unending task of proselytizing for the best in statistical data presentation by example and through scholarship like that of Leland Wilkinson." Cartographic Perspectives "In summary, this is certainly a remarkable book and a new ambitious step for the development and application of statistical graphics." Computational Statistics and Data Analysis About the author: Leland Wilkinson is Senior VP, SPSS Inc. and Adjunct Professor of Statistics at Northwestern University. He is also affiliated with the Computer Science department at The University of Illinois at Chicago. He wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. Wilkinson joined SPSS in a 1994 acquisition and now works on research and development of visual analytics and statistics. He is a Fellow of the ASA. In addition to journal articles and the original SYSTAT computer program and manuals, Wilkinson is the author (with Grant Blank and Chris Gruber) of Desktop Data Analysis with SYSTAT. .
650 0 _aStatistics.
650 0 _aComputer graphics.
650 0 _aMathematics.
650 0 _aVisualization.
650 1 4 _aStatistics.
650 2 4 _aStatistics and Computing/Statistics Programs.
650 2 4 _aVisualization.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387245447
830 0 _aStatistics and Computing,
_x1431-8784
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-28695-0
912 _aZDB-2-SMA
950 _aMathematics and Statistics (Springer-11649)
999 _c506013
_d506013