Graphical Data Analysis with R

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A01=Antony Unwin
advanced R data visualization techniques
Author_Antony Unwin
Bank Dataset
Barcharts
Bivariate Outlier
Boston Housing Dataset
Boxplots
categorical variable analysis
Category=JMB
Category=PBT
Category=UNC
Category=UNF
Category=UNH
Contrast Tukey
CSU Party
CSU Supporter
data cleaning techniques
Data visualisation
Default Histogram
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exploratory data analysis
Fluctuation Diagram
Funnel Plot
Graphical data analysis
Hell Creek Formation
Histograms
Iris Dataset
Mass Package
Mosaicplots
Multiple Barcharts
multivariate analysis
Multivariate Categorical Data
outlier detection methods
Parallel Coordinate Plots
R graphics
Robust Mahalanobis Distance
Scatterplot Matrices
Scatterplot Matrix
Scatterplots
statistical graphics
Swiss Banknotes
time series visualization
Titanic Dataset
Trellis Graphics
Trellis Plot
UCI Machine Learn Repository
Vice Versa
West Germany

Product details

  • ISBN 9781498715232
  • Weight: 650g
  • Dimensions: 156 x 234mm
  • Publication Date: 20 May 2015
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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See How Graphics Reveal Information

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.

Antony Unwin is a professor of computer-oriented statistics and data analysis at the University of Augsburg. He is a fellow of the American Statistical Society, co-author of Graphics of Large Datasets, and co-editor of the Handbook of Data Visualization. His research focuses on data visualisation, especially in interactive graphics. His research group has developed several pieces of interactive graphics software and written packages for R.

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