Use simple or complex methods to transform your data
Transform is an important descriptive analytics task which makes data more understandable. Define your own functions, for example, ratio and discretization, or use more sophisticated and automated methods, like principal component analysis, to create new views of original data sets. Determine the data sets that are best suited to train reliable models or communicate obvious facts with your team.
The functional attributes (as well as cumulative sums, Statistical Process Control functions, and Principal Component Analysis transformations) display in the project workflow. Choose a transformation method that suits your data sets and the data immediately becomes more meaningful.
DATAmaestro lets you use exiting functions you defined, or easily build and edit new functional attributes based on the attribute sets defined for the project.