<｜begin▁of▁sentence｜>### Instruction:
In the course of optimizing our company's workflow visualization tools, we've identified a requirement to model our dual department interconnectivity in a simplified schematic form. This leads us to consider a circular ladder graph, akin in structure to our dual-tier hierarchical flow, comprised of a sequence of 5 interlocking loops. How might we employ NetworkX to construct this graphical model and subsequently leverage Matplotlib to render a visual representation that accurately depicts the cyclical nature and interconnected rungs of our dual operational workflow?
### Response:
import networkx as nx

# Create a circular ladder graph with 5 nodes
G = nx.circular_ladder_graph(5)

# Draw the graph
import matplotlib.pyplot as plt
nx.draw(G, with_labels=True)
plt.show()
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