<｜begin▁of▁sentence｜>### Instruction:
As a network analysis specialist, you will be tasked with visually representing an Erdős-Rényi random graph with 10 nodes and a probability of edge creation of 0.2. You'll use matplotlib's plt module in Python to draw the graph, ensuring that the nodes are labeled and including a title 'Erdos Renyi Graph' to accompany the visualization. This graph will be used for further analysis and interpretation related to network connectivity and structure.
### Response:
import matplotlib.pyplot as plt
import networkx as nx

# Create a NetworkX graph
g = nx.erdos_renyi_graph(10, 0.2)

# Draw the graph
plt.figure(figsize=(8, 6))
nx.draw(g, with_labels=True)
plt.title('Erdos Renyi Graph')
plt.show()
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