<｜begin▁of▁sentence｜>### Instruction:
As an adept Web Content Manager overseeing our interactive graph-based data visualizations on the company's website, you may have noticed that one of our latest visualizations illustrates a network graph with a set of connections defined as follows: [(1, 2), (2, 3), (3, 4), (4, 1), (1, 3)]. This graph represents a scenario where certain resources or pages are interlinked in a manner that's currently non-cyclical, meaning it's not possible to traverse all connections in a single path without repeating any step – which we refer to as a non-Eulerian graph.

The task at hand involves utilizing our NetworkX toolkit to modify this graph in a smart fashion, transforming it into a cyclical or Eulerian graph, which would enable visitors to navigate through all the connections in an unbroken loop, potentially enhancing user engagement and ensuring a smoother navigational experience. Could you craft a strategy within our web content management tools to seamlessly incorporate this change into our existing visualization structure?
### Response:
import networkx as nx

# Create a graph that is not Eulerian
g = nx.Graph([(1, 2), (2, 3), (3, 4), (4, 1), (1, 3)])
# Eulerize the graph
h = nx.eulerize(g)
# Check if the new graph is Eulerian
is_eulerian = nx.is_eulerian(h)
print('Is the eulerized graph Eulerian?', is_eulerian)
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