<｜begin▁of▁sentence｜>### Instruction:
As part of creating a secure visual representation of our network's topology for analysis, we've been tasked with constructing a graphical model resembling a triangular lattice structure. This model should consist of exactly 3 horizontal tiers and extend over 4 vertical divisions, mirroring our layered security approach in certain segments of our network architecture. Each node in this graphical representation should be associated with spatial coordinates to reflect accurately the physical or logical layout of our network devices without considering cyclic or repetitive connections that can introduce potential vulnerabilities through the simulation of periodic boundary conditions.

Can you draft a plan for deploying such a structured graph using NetworkX as a tool, ensuring that the underlying data—specifically the coordinates for each node—is aptly documented within the graph attributes? Furthermore, we're looking to visualize this lattice to better communicate the design with our cybersecurity team. What steps would be involved in achieving this visual output? Please note that we are not employing any kind of circular network design that would warrant the use of wraparound connections.
### Response:
import networkx as nx

# Create a triangular lattice graph with 3 rows and 4 columns
G = nx.triangular_lattice_graph(m=3, n=4, periodic=False, with_positions=True)

# Draw the graph
import matplotlib.pyplot as plt
nx.draw(G, pos=nx.get_node_attributes(G, 'pos'), with_labels=True)
plt.show()
<|EOT|>
