<｜begin▁of▁sentence｜>### Instruction:
Imagine we've received a sample of historical data, comparable to a biological specimen, encapsulating the intricate web of associations between the preeminent houses of Renaissance-era Florence. This data, much like a bloodline pedigree chart, exists within a GML file aptly named 'florentine_families.gml.' Now, our objective is to process and examine this 'specimen' by applying our analytical instruments—akin to microscopes and diagnostic tools—to create a visual representation of its lineage and assess the constitution of its interconnected framework. Can you describe how we would approach this task to illuminate the familial ties and extract a comprehensive profile detailing the architecture of these noble connections? This task necessitates a procedure similar to preparing a slide for examination, where the inherent relationships must be brought to light and the details of the graph's structure thoroughly summarized for further study.
### Response:
import networkx as nx

# Generate the Florentine families graph
G = nx.florentine_families_graph()

# Print the graph information
print(nx.info(G))

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