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010   $a3-319-49751-0
024 7 $a10.1007/978-3-319-49751-8
035   $a(CKB)3710000001045335
035   $a(DE-He213)978-3-319-49751-8
035   $a(MiAaPQ)EBC4797418
035   $a(PPN)198873093
035   $a(EXLCZ)993710000001045335
100   $a20170201d2017      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Visualisation with R $e100 Examples /$fby Thomas Rahlf
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XV, 385 p. 181 illus., 162 illus. in color.)
311   $a3-319-49750-2 
320   $aIncludes bibliographical references.
327   $aData for Everybody -- Structure and Technical Requirements -- Implementation in R -- Beyond R -- Regarding the Examples -- Categorical Data -- Distributions -- Time Series -- Scatter Plots -- Maps -- Illustrative Examples.
330   $aThis book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R?s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 7000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields. This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver. Features and Benefits Offers a comprehensive introduction to creating presentation graphics with R Presents the complete code of 100 examples from various fields Includes step-by-step explanations of the programming of figures, based on real data.
606   $aComputer graphics
606   $aStatistics 
606   $aApplication software
606   $aComputer software
606   $aR (Computer program language)
606   $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013
606   $aStatistics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/S0000X
606   $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001
606   $aProfessional Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I29000
615  0$aComputer graphics.
615  0$aStatistics .
615  0$aApplication software.
615  0$aComputer software.
615  0$aR (Computer program language)
615 14$aComputer Graphics.
615 24$aStatistics, general.
615 24$aComputer Applications.
615 24$aProfessional Computing.
676   $a006.6
700   $aRahlf$b Thomas$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059737
906   $aBOOK
912   $a9910163004003321
996   $aData Visualisation with R$92508007
997   $aUNINA