# data_quality

Detect and visualize data-quality issues in time series: gaps (missing
values), stuck values and range outliers, interval inference, ok/warning/critical
quality flags, and missing-value plots.

See {doc}`../examples/data_quality` for usage examples.

## API Reference

```{eval-rst}
.. automodule:: pyedautils.data_quality
   :members:
   :undoc-members:
   :show-inheritance:
```