The final step in any data analysis project is documentation—either generating a report of the findings or documenting the scripts and data used. In our case, we are going to wrap up with a small application. We will use RShiny, an R web application framework. RShiny is a powerful framework for developing interactive web applications using R. We will leverage the code that we have written to generate a simple, yet powerful, user interface for our retail customers.
To keep things simple, we have a set of three screens. The first screen, as shown in the following screenshot, allows the user to vary support and confidence thresholds and view the rules generated. It also has additional interest measures, lift, conviction, and leverage. ...
