<｜begin▁of▁sentence｜>### Instruction:
Imagine you're orchestrating a digital marketing campaign designed to enhance the connectivity between various content platforms, symbolized by 'A', 'B', and 'C'. As part of your strategy analysis, you've mapped out the interactions between these platforms, with the connections—edges ('A', 'B'), ('B', 'C'), and ('A', 'C')—carrying respective engagement weights of 4.7, 8.2, and 5.6. To efficiently communicate and strategize with your analytics team, you require these interactions and their engagement intensities to be formatted into a streamlined edge list file. How could you employ the capabilities of NetworkX, particularly the write_edgelist function, to generate such a file that incorporates the specified edge weights, making it accessible for review and further strategic planning?
### Response:
import networkx as nx

# Create a NetworkX graph
G = nx.Graph()

# Add edges with attributes
G.add_edge('A', 'B', weight=4.7)
G.add_edge('B', 'C', weight=8.2)
G.add_edge('A', 'C', weight=5.6)

# Write the edge list to a text file including the weight attribute
data_attributes = ['weight']
nx.write_edgelist(G, 'edges_with_weight.edgelist', data=data_attributes)
<|EOT|>
