<｜begin▁of▁sentence｜>### Instruction:
Imagine you're engaging with a team of healthcare data analysts. They're keen on illustrating the complex interrelationships between 12 distinct regions in which a novel pharmaceutical product will be launched. To do this, they're interested in a unique representation that has exactly 18 connections (or relationships) with no two regions sharing the same pattern of connections, ensuring each region's market approach is distinct. They've suggested using a Frucht Graph as the model for this representation.

Your task is to assist them by creating a digital model of the Frucht Graph, specifically tailored to visualise these market relationships. For clarity in your communication and to aid in presenting this information to stakeholders, you're also asked to confirm the number of regions (nodes) and connections (edges) represented in the graph. Additionally, if the data or graph structure is to be imported from an external file, please ensure you make note of the file name, such as "frucht_graph.gml", to maintain clarity in documentation and for future reference.
### Response:
import networkx as nx

# Generate the Frucht Graph
G = nx.frucht_graph()

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