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EBOOK
Author Unwin, Antony,
Title Graphical data analysis with R / Antony Unwin.
Imprint Boca Raton, FL : CRC Press, [2015]
2015

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SAFARI EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SAFARI EBOOKS    ONLINE  
View online
Author Unwin, Antony,
Series Chapman & Hall/CRC the R series
Chapman & Hall/CRC the R series (CRC Press)
Subject Information visualization.
Visual analytics.
Data mining -- Graphic methods.
R (Computer program language)
Description 1 online resource (1 volume) : illustrations.
Summary "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.
Contents 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.
Bibliography Note Includes bibliographical references.
Note Description based on online resource; title from title page (viewed May 6, 2016).
ISBN 9781498715249 (electronic bk.)
1498715249 (electronic bk.)
9781498715232
9781498786775
1498786774
1498715230
OCLC # 949422669
Additional Format Original 9781498715232 1498715230 (DLC) 2015011619 (OCoLC)906798286


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