The '''data management''' part of the system is critical to the overall structure, since data must be formatted in such a way that the algorithmic functions will be able to operate on them swiftly and efficiently. This section is the part of the system which deals in extracting long csv files and putting the data in models where they can be accessed by the algorithms. Additionally, this part of the system handles the data in such a way that even if parts of data are missing the algorithmic section will still be able to understand. The following image is an example of how data management structures data, by putting it within a "data set":. In the data set, table rows represent observations and columns represent features.