Data Manipulation and Cleansing Features and Functions

• Partitions data into training, test, and validation datasets


• Works with complete record and field operations, including field filtering, naming, derivation, re-categorization, and value replacement


• Records can be selected according to multiple criteria


• Records selection, sampling, merging, and concatenating, sorting, aggregation. and balancing


• Randomized sampling


• Creates union, intersection, or complement of datasets


• Filters exceptional records


• Drill-through feature selects data points from a chart to create a new dataset


• Splits data into n-tile percentage intervals for any numerical variable