<｜begin▁of▁sentence｜>### Instruction:
As a Nutrition Coach who offers personalized nutrition advice and meal planning to clients seeking to enhance their health and wellness, imagine you're tasked with creating a visual representation of a client's dietary habits. In this scenario, think of each dietary component as a node in a graph, and their relationships as edges. To achieve this visualization, you'll utilize the matplotlib library's `plt` module along with NetworkX, a Python package for the creation, manipulation, and study of complex networks. Your objective is to draw the graph, representing the connections between different dietary components, and label each node accordingly for clear interpretation by the client.
### Response:
import matplotlib.pyplot as plt
import networkx as nx

# Create a simple graph
G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (3, 4), (2, 4)])

# Draw the graph
nx.draw(G, with_labels=True)
plt.show()
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