DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Data Mining Data Mining Data Mining with Rattle Introduction Data Transform Explore A Model Building Framework Unsupervised Modelling Two Class Models Multi Class Models Regression Models Text Mining Evaluation and Deployment Moving into R Troubleshooting R for the Data Miner R Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Cluster Analysis Conditional Trees Hierarchical Clustering K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining Open Products AlphaMiner Borgelt Data Mining Suite KNime R Rattle Weka Closed Products C4.5 Clementine Equbits Foresight GhostMiner InductionEngine ODM Enterprise Miner Statistica Data Miner TreeNet Virtual Predict Appendicies Glossary Bibliography Index

Multi-Dimension Scatterplot

For data with multiple dimensions, plot will decide on a multi-dimensional scatterplot. This produces a scatterplot for each pair of variables, with the variable names identified in the diagonal. Each plot is a scatterplot of the data for the variable in the column by the variable in the row. The upper right triangle of the scatterplot is the mirror image of the lower left triangle of the scatterplot--with the axes swapped. Although this results in repeated information, it is visually effective since it is possible to scan all plots for one variable either vertically or horizontally, rather than having to turn corners.

Once again, we use different symbols (and colour) to highlight the distribution of Type across each plot, borrowing (but not showing) the appropriate code from the scatterplot example of See Section . The plot is also limited to just the first six variables, to avoid too much clutter. Note that the scatterplot of Section  is also included.

[width=0.75]rplot-wine-scatterm

plot(wine[,c(1, 4:8)], col=colours, pch=iType)

http://rattle.togaware.com/code/rplot-wine-scatterm.R

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