import seaborn as sns
import numpy as np
import pandas as pd

# Generate random data
np.random.seed(42)
dataOne = np.random.normal(0, 1, 100)
dataTwo = np.random.normal(2, 1, 100)
dataThree = np.random.normal(1, 2, 100)

# Combine the data into a DataFrame
data = np.concatenate([dataOne, dataTwo, dataThree])
categories = np.repeat(['A', 'B', 'C'], 100)
df = pd.DataFrame({'Category': categories, 'Data': data})

# Create a box plot
sns.boxplot(x='Category', y='Data', data=df)

# Add title
plt.title('Box Plot of Data against Category')

# Show the plot
plt.show()

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