<｜begin▁of▁sentence｜>### Instruction:
Given a set of edges: ('node1', 'node2', weight=2.5), ('node3', 'node4', weight=3), and ('node1', 'node4', weight=1.5), can you use the GraphBuilder class from graspologic to create a graph and then visualize it using NetworkX? This scenario demonstrates how to build and visualize a simple undirected graph from given edge data, showcasing the capacity for integrating Graspologic's graph construction capabilities with NetworkX's visualization features.
### Response:
import networkx as nx
from graspologic.pipeline import GraphBuilder

# Initialize the GraphBuilder
gbuilder = GraphBuilder(directed=False)

# Add some edges
gbuilder.add_edge('node1', 'node2', weight=2.5)
gbuilder.add_edge('node3', 'node4', weight=3)
gbuilder.add_edge('node1', 'node4', weight=1.5)

# Build the graph
g, node_id_map, original_nodes = gbuilder.build()

# Utilize NetworkX functions for added analysis or visualization
nx.draw(g, with_labels=True, node_color='lightblue')

# To display the plot (Note: plt.show() is required if running in a script)
import matplotlib.pyplot as plt
plt.show()
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