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008160511s2015 flua ob 000 0 eng d
019 ▼a 958098527 ▼a 958351008 ▼a 958449252
020 ▼a 9781498715249 ▼q (electronic bk.)
020 ▼a 1498715249 ▼q (electronic bk.)
020 ▼z 9781498715232
020 ▼z 9781498786775
020 ▼z 1498786774
020 ▼z 1498715230
0291 ▼a DEBBG ▼b BV043969360
0291 ▼a DEBSZ ▼b 48579876X
0291 ▼a GBVCP ▼b 882849794
035 ▼a (OCoLC)949422669 ▼z (OCoLC)958098527 ▼z (OCoLC)958351008 ▼z (OCoLC)958449252
037 ▼a CL0500000738 ▼b Safari Books Online
040 ▼a UMI ▼b eng ▼e rda ▼e pn ▼c UMI ▼d N$T ▼d IDEBK ▼d YDX ▼d DEBBG ▼d OCLCQ ▼d ORE ▼d 248032
049 ▼a MAIN
050 4 ▼a QA76.9.I52 ▼b U59 2015eb
072 7 ▼a REF ▼x 018000 ▼2 bisacsh
08204 ▼a 001.4/226 ▼2 23
1001 ▼a Unwin, Antony, ▼e author.
24510 ▼a Graphical data analysis with R / ▼c Antony Unwin.
264 1 ▼a Boca Raton, FL : ▼b CRC Press, ▼c [2015]
264 4 ▼c 짤2015
300 ▼a 1 online resource (1 volume) : ▼b illustrations.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
4901 ▼a Chapman & Hall/CRC the R series
504 ▼a Includes bibliographical references.
5050 ▼a Setting the Scene -- Brief Review of the Literature and Background Materials -- Examining Continuous Variables -- Displaying Categorical Data -- Looking for Structure: Dependency Relationships and Associations -- Investigating Multivariate Continuous Data -- Studying Multivariate Categorical Data -- Getting an Overview -- Graphics and Data Quality: How Good Are the Data? -- Comparisons, Comparisons, Comparisons -- Graphics for Time Series -- Ensemble Graphics and Case Studies -- Some Notes on Graphics with R -- Summary.
520 ▼a "Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout. Features: Concentrates on why graphics are drawn and what they reveal -- Emphasises the value of drawing a variety of different graphics -- Uses real datasets in R to show how graphical data analysis works in practice -- Supplies R code for all the graphics on the author's website -- Includes a set of exercises in each chapter to facilitate hands-on learning."--Back cover.
588 ▼a Description based on online resource; title from title page (viewed May 6, 2016).
590 ▼a eBooks on EBSCOhost ▼b All EBSCO eBooks
650 0 ▼a Information visualization.
650 0 ▼a Visual analytics.
650 0 ▼a Data mining ▼x Graphic methods.
650 0 ▼a R (Computer program language)
650 7 ▼a REFERENCE / Questions & Answers ▼2 bisacsh
655 4 ▼a Electronic books.
655 7 ▼a Electronic books. ▼2 local
77608 ▼c Original ▼z 9781498715232 ▼z 1498715230 ▼w (DLC) 2015011619 ▼w (OCoLC)906798286
830 0 ▼a Chapman & Hall/CRC the R series (CRC Press)
85640 ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1338290
938 ▼a ProQuest MyiLibrary Digital eBook Collection ▼b IDEB ▼n cis34608655
938 ▼a EBSCOhost ▼b EBSC ▼n 1338290
938 ▼a YBP Library Services ▼b YANK ▼n 13152252
990 ▼a 관리자