<｜begin▁of▁sentence｜>### Instruction:
Given a graph with nodes representing various numerical values, can you use a 'Histogram' object in a Python library to create a frequency histogram of these values? Assume you have a graph with node attributes representing the values you want to track in your histogram. How would you iteratively add these node values to your histogram, and how would you visualize this histogram?
### Response:
from networkx import Graph
from some_histogram_library import Histogram

# Create an empty histogram
histogram = Histogram()

# Adding numbers to the histogram
data = [1, 2, 2, 3, 4, 5, 5, 5]
for number in data:
    # Add each number to the histogram
    histogram.add(number)

# If you want to add a number with repetition
histogram.add(7, repeat=3)  # Add the number 7 three times to the histogram

# Assuming you want to visualize the histogram
# You can plot it using Matplotlib (as an example)
import matplotlib.pyplot as plt

# Prepare data for plotting
values, frequencies = zip(*histogram.get_data())

# Create bar chart
plt.bar(values, frequencies)
plt.show()
<|EOT|>
