Data Preparation Bricks

Round decimal numbers in one or several columns using round, floor, or ceil.

Sample rows from a DataFrame or Arrow Table using various sampling methods.

Sort rows in a DataFrame or Arrow Table by one or more columns.

Split a textual column into several columns on each occurrence of the delimiter. Output columns are numbered with a prefix.

Combine rows of two or more datasets into a single output dataset using union, intersection, or custom schema methods.

Filter a dataset to get the top and/or bottom N rows based on specified column(s) sorting.

Transpose multiple rows into columns (widen dataset) using an Index, Label, and Value column.

Transform a column's values into binary columns (one-hot encoding/dummification).

Perform window operations on a dataset with configurable frames and ordering.