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Book Overview & Buying
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Table Of Contents
R Data Science Essentials
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Let's plot and then see the sample dataset, sampdata. From the output, it is clear that the number of transactions is around 100 and number of items is around 500. The following code also includes saving the output to a local file in the current working directory:
image(sampdata) dev.copy(png,filename="sampdata.png", width=600, height=875); dev.off ();
The output of the preceding command is as follows:

In the Adult dataset, the number of transactions is huge; if the number of items were fewer, it would appear as a straight line.
In order to plot the rule, we need to load the arulesviz package to the R environment. If this package is not already installed, use the install.packages function to install it:
install.packages("arulesViz") library(arulesViz)
We can plot the rules using the plot function. This plot will have the support and confidence in the x axis and y axis, respectively, and the shading is used to represent the lift. We can also change the representation using...
Change the font size
Change margin width
Change background colour