In the last three tutorials (Tutorial 1, Tutorial 2, Tutorial 3), I demonstrated how to create an infrastructure to support data science projects. Next in the evolution is to show you how you can load data into Greenplum and R for analysis. For this tutorial I am using the famous Fisher Iris data set. This data is most often used to demonstrate how discriminant analysis can be used to manifest obvious similarities and dissimilarities of objects, and in the case of the Fisher Iris data set, three species of Iris. I chose this particular data because we will be using it in a tutorial in the near future.