## kd_validate_dataset_local()


Validate a single DataFrame for SDMX compliance.


Usage

``` python
kd_validate_dataset_local(
    df,
    schema=None,
    valid=None,
)
```


Wrapper that calls validate_dataset_local to obtain a DataFrame of errors, then logs messages and returns a tuple of (success, errors).


## Parameters


`df: pd.DataFrame`  
The DataFrame to be validated.

`schema=None`  
The schema object containing validation information (optional if `valid` is provided).

`valid=None`  
Precomputed validation information (optional).


## Returns


`bool`  
A tuple where the first element is True if the dataset passed

`dict`  
validation (no errors) and False otherwise, and the second element

`tuple[bool, dict]`  
is an empty dict on success or a dict with key `ValidationReport`

mapping to the list of error messages.