sample_missing()

Generate a dataset with scattered missing values.

Usage

sample_missing(n=12)

Parameters

n: int = 12

Number of rows.

Returns

dict[str, list]

Column-oriented dict with name, value, category, and score columns. Some cells are None.

Examples

>>> data = sample_missing(5)
>>> None in data["value"]
True