<｜begin▁of▁sentence｜>### Instruction:
As a plant breeder, you may need to visualize a random graph representing the relationships between different plant genealogies. Suppose you have collected data on 30 different plant varieties and want to plot a graph to represent their genetic connections with a 5% probability of edge creation. Using NetworkX's drawing capabilities, how can you visualize this graph with a blue color palette for the nodes?
### Response:
from networkx.drawing.nx_pylab import draw_networkx
import networkx as nx
import matplotlib.pyplot as plt

# Create a graph
g = nx.erdos_renyi_graph(30, 0.05)

# Draw the graph using NetworkX's draw function with a color palette
options = {
    'node_color': range(30),
    'cmap': plt.cm.Blues,
    'with_labels': False
}
plt.figure(figsize=(8, 6))
draw_networkx(g, **options)
plt.show()
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