```python
from ansys.dpf import core as dpf
from ansys.dpf.core import operators as ops

# Load the model
model = dpf.Model("your_result_file.rst")

# Get all node IDs in the model
mesh = model.metadata.meshed_region
nodes = mesh.nodes
node_ids = nodes.scoping.ids

# Find the minimum list of elements by node to get the volume check
min_elements_by_node = {}
for node_id in node_ids:
    elements = mesh.elements.get_elements_with_node(node_id)
    if not elements:
        continue
    min_volume = float('inf')
    min_element = None
    for element in elements:
        volume_op = ops.result.volume()
        volume_op.inputs.mesh.connect(mesh)
        volume_op.inputs.element_scoping.connect(dpf.Scoping(ids=[element], location=dpf.locations.elemental))
        volume = volume_op.outputs.fields_container()[0].data[0]
        if volume < min_volume:
            min_volume = volume
            min_element = element
    if min_element:
        min_elements_by_node[node_id] = min_element

# Create a workflow to compute equivalent stress averaged on elements
workflow = dpf.Workflow()
stress_op = ops.result.stress()
stress_op.inputs.requested_location.connect(dpf.locations.elemental)
eqv_op = ops.invariant.von_mises_eqv(stress_op.outputs)
workflow.add_operators([stress_op, eqv_op])

# Apply dot product seqv.volume
dot_product_op = ops.math.dot(eqv_op.outputs, eqv_op.outputs)
workflow.add_operators([dot_product_op])

# Sum up those on the list of elements and divide this sum by the total volume on these elements
sum_stress = 0
total_volume = 0
for element in min_elements_by_node.values():
    volume_op = ops.result.volume()
    volume_op.inputs.mesh.connect(mesh)
    volume_op.inputs.element_scoping.connect(dpf.Scoping(ids=[element], location=dpf.locations.elemental))
    volume = volume_op.outputs.fields_container()[0].data[0]
    total_volume += volume
    
    stress_value = workflow.evaluate(dpf.Scoping(ids=[element], location=dpf.locations.elemental)).data[0]
    sum_stress += stress_value * volume

average_stress = sum_stress / total_volume

# Plot equivalent elemental stress and volume averaged elemental equivalent stress
import matplotlib.pyplot as plt

# Assuming we have a list of stress values and corresponding volumes for plotting
stress_values = [workflow.evaluate(dpf.Scoping(ids=[e], location=dpf.locations.elemental)).data[0] for e in min_elements_by_node.values()]
volumes = [volume_op.outputs.fields_container()[0].data[0] for e in min_elements_by_node.values()]

plt.figure(figsize=(10, 5))
plt.subplot(1, 2, 1)
plt.bar(range(len(stress_values)), stress_values)
plt.title('Equivalent Elemental Stress')

plt.subplot(1, 2, 2)
plt.bar(range(len(volumes)), volumes, color='orange')
plt.title('Volume Averaged Elemental Equivalent Stress')
plt.show()

# Note: This code assumes the existence of certain variables for plotting which might need to be adjusted based on actual data.
# The plotting part is a simplified representation and might need adjustments for a real case scenario.
```