<｜begin▁of▁sentence｜>### Instruction:
Given a discrete distribution represented by a dictionary where keys are the values of the distribution and values are their corresponding frequency, how can you use NetworkX to compute and plot the cumulative distribution?
### Response:
import networkx as nx
import matplotlib.pyplot as plt

# Create a discrete distribution dictionary
# The keys represent values and the values represent the frequency of the values
discrete_dist = {1: 10, 2: 15, 3: 25, 4: 30}

# Compute the cumulative distribution
cum_dist = nx.utils.cumulative_distribution(discrete_dist)

# Plot the cumulative distribution
cum_values = list(cum_dist)
x_values = list(range(len(cum_values)))

plt.plot(x_values, cum_values, drawstyle='steps-post')
plt.xlabel('Value')
plt.ylabel('Cumulative Distribution')
plt.title('Cumulative Distribution Plot')
plt.show()
<|EOT|>
