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I'm a big fan of SPLOMs
Does anyone know of SPLOM packages that can support boxplots for categorical data? It looks really weird when you have scatterplots for columns like "gender"
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asked Aug 14 '12 19:08
Categorical Scatter PlotsBoth strip plots and swarm plots are essentially scatter plots where one variable is categorical. I like to use them as additions to other kinds of plots, which we'll discuss below as they are useful for quickly visualizing the number of data points in a group.
Mosaic plots are good for comaparing two categorical variables, particularly if you have a natural sorting or want to sort by size.
Frequency tables, pie charts, and bar charts are the most appropriate graphical displays for categorical variables.
Most two-dimensional graphs consist of one quantitative scale and one categorical scale, although a familiar exception is the scatterplot, which has quantitative scales along both axes (see Figure 2). In a line graph, the categorical scale always appears on the horizontal axis.
You can use the GGally package, it support a lot of feature.
require(GGally)
data(tips)
tips.sample <- tips[ ,c("total_bill", "tip", "day")]
ggpairs(tips.sample, upper = list(continuous = "points", combo = "box"),
lower = list(continuous = "points", combo = "box"))
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