<｜begin▁of▁sentence｜>### Instruction:
As a Survey Researcher, I often work with complex datasets and utilize various statistical methods to analyze survey results. For instance, I might be asked to analyze a dataset representing interactions between people in a social network. In this case, the dataset includes information about the connections between individuals, such as [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 0)].

One of the tasks I might be asked to perform is to use the bins method of the degree_distribution histogram to retrieve and present the bins along with the number of elements each contains. This information is crucial in understanding the distribution of connections within the network and can provide valuable insights for further analysis.
### Response:
import igraph as ig

# Create a simple graph
edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 0)]
g = ig.Graph(edges=edges)

# Calculate the degree distribution of the graph
degree_dist = g.degree_distribution(bin_width=1)

# Get histogram bins
bins = list(degree_dist.bins())

# Print the histogram bins
for left, right, count in bins:
  print(f'Bin: {left}-{right}, Count: {count}')
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