## sample_missing()


Generate a dataset with scattered missing values.


Usage


``` python
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

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

True