pipe_NA_indicators: Indicate which fields are NA
In jeroenvdhoven/datapiper: datapiper

Takes the dataset, scans the given columns for values that have been listed as indicating NA, and adds a column indicating if this is a NA

1 2	pipe_NA_indicators(train, condition = is.na, columns = colnames(train), force_column = F)

`train`	The train dataset, as a data.frame or data.table. Data.tables may be changed by reference.
`condition`	Function to test if a value is missing. Should return true when a value is missing and false otherwise.
`columns`	Names of the columns to check for missing values.
`force_column`	If true, always add new columns, even if no missing values were found.