Data visualization toolbox
Data visualization uses graphical and numerical tools to reveal the information contained in data. It is a more effective approach for understanding and communication than the use of common numerical tools alone. This software package focuses on easily producible and interpretable displays which provide maximum insight. Most of this material is a blatant ripoff of William S. Cleveland's groundbreaking book, Visualizing Data. This book is must reading for any serious worker in the data analysis field.
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Key points of this approach are:
The intent of this software package is to make the approach of Visualizing Data accessible to Matlab users. The package includes 26 mat files which contain all of the data files used in the book. It also includes function m files which implement most of the computation and display methods used in the book and script m files which produce all of the figures in this documentation.
In this documentation the new Matlab functions are in green
code
font. Many of the figure captions include a reference such as (book
3.15), which indicates that the figure corresponds to Figure 3.15 in Visualizing Data.
Introduction |
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Univariate Data |
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Bivariate Data |
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Trivariate Data |
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Hypervariate Data |
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Multiway Data |
addfit.m
bank45.m
bisquare.m
coplot.m
dotplot.m
equalcount.m
jitter.m
loess.m
mad.m
mdplot.m
multidotplot.m
normalqqplot.m
powerxform.m
qqplot.m
quantile.m
quantileplot.m
rdplot.m
rfplot.m
scattermatrix.m
scattermatrixc.m
seasonaloess.m
slplot.m
standardize.m
trimmedmean.m
trimmedstd.m
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