data_process: Code for processing data inputs
In alteryx/AlteryxSim: R package for Alteryx simulation tools

Code for processing data inputs

1 2	data_process(method, chunkSize, count, process, possible, type, id, value, name, roulette, dataName, replace, totalSize)

`method`	sampling method used: "MC" for Monte Carlo or "LH" for Latin Hypercube
`chunkSize`	int > 0 - maximal number of records to be processed at time
`count`	count
`process`	sampling method for data - "entire" to sample records, "each" to sample from columns independently, "best" to fit then sample
`possible`	vector of distribution options to be fit to data
`type`	whether data is "binned", comes from "roulette" widget, or is standard
`id`	name of id field for binned data
`value`	name of value field for binned data
`name`	name of output vector for roulette or binned data or parametric input
`roulette`	json string for roulette data
`dataName`	incomming data if process = "data"
`replace`	bool for sampling with replacement
`totalSize`	total size