SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithms

SDRDPy is a desktop application that allows experts an intuitive graphic and tabular representation of the knowledge extracted by any supervised descriptive rule discovery algorithm. The application is able to provide an analysis of the data showing the relevant information of the data set and the relationship between the rules, data and the quality measures associated for each rule regardless of the tool where algorithm has been executed. All of the information is presented in a user-friendly application in order to facilitate expert analysis and also the exportation of reports in different formats. Data Science involves several phases [2]: 1. In this phase, all the information from different sources from which knowledge is to be obtained is collected. In this phase, the data collected in the previous step goes through a filtering process where the variables to be studied are selected, and incomplete or erroneous data are eliminated and transformed so that the Data Science technique can process this information.