Pivot a Spark DataFrame
Construct a pivot table over a Spark Dataframe, using a syntax similar to
sdf_pivot(x, formula, fun.aggregate = "count")
ml_pipeline, or a
A two-sided R formula of the form
x_1 + x_2 + ... ~ y_1. The left-hand side of the formula indicates which variables are used for grouping, and the right-hand side indicates which variable is used for pivoting. Currently, only a single pivot column is supported.
How should the grouped dataset be aggregated? Can be a length-one character vector, giving the name of a Spark aggregation function to be called; a named R list mapping column names to an aggregation method, or an R function that is invoked on the grouped dataset.