Feature to visualize Face Quality Distribution for a quality measure.

### 📝 Description of the feature

This particular feature helps to visualize the face quality distribution of a surface mesh.

### 💡 Steps for implementing the feature

There may be a definition under mesh utility class

The API must take the quality parameter, quality range, scope as input and number of divisions. histogram can be used to visualize the data generated from this API

e.g.,

```python
mesh_util = MeshUtil(Model)​
mesh_util.plot_face_distribution(min = 0, max = 1, number_of_divisions = 10, quality_measure = skewness,
scope = prime.ScopeDefinition(model, part_expression=result[1].name))​

```

### 🔗 Useful links and references

_No response_

Start by inspecting the mesh utility class and the existing quality-measure APIs. Trace how MeshUtil receives a Model and ScopeDefinition, then determine how a plot_face_distribution API would accept quality bounds, divisions, and scope. Done means the requested face-quality distribution can be generated and visualized as a histogram for the example inputs.

Written by the indexing model from the issue text.