Air transport is one of the most commonly used means of transport in the world today. In this study we looked at R packages i.e. dplyr which is a fast, consistent tool for working with data frame like objects, both in memory and out of memory. In the aviation industry the dplyr package helps in the manipulation of data by putting data in rows and columns, rearranging rows, adding new variables and reducing variables to values hence making it easy to find the number of arrivals, departures and delays.Not only the dplyr but also the HUM package has been used in the flight industry to calculate AUC(area under curve) value for two classes and HUM(hypervolume under manifold)for more class labels in order to estimate the informativity of features to outcome. Tools for visualizing ROC curve in 2D- and 3D- space.