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Exercise

Scatterplots

Scatterplots are one of the most used kind of plots to show the set of extracted rules. In this exercise, you will see how to build a meaningful graphical representation of association rules. In the previous chapter, you extracted rules from the online Retail dataset. The rules rules_online are saved in the workspace. In this exercise, you will see how to create a HTML table widget with the inspectDT() function of the arulesViz package. This will enable to quickly browse and sort tables.

Instructions 1/4
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  • 1
    • Remind yourself of the rules by creating an interactive data table of rules_online.
  • 2
    • Create a standard scatter plot for the rules_online.
  • 3
    • Create a scatter plot with as measure confidence and lift on the x and y axis respectively. Add the support as a legend.
  • 4
    • In the last plots, jittering was automatically done. You want to configure it yourself by setting the parameter to 2.
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