Seaborn Categorical Plots: Bar, Box, and Violin

Categorical Plots with Seaborn

Seaborn's high‑level API makes it easy to visualize categorical data.

Bar plot (mean with confidence interval)

sns.barplot(x='species', y='sepal_length', data=iris, ci=95)
plt.title('Mean Sepal Length by Species')
plt.show()

Box plot (distribution per category)

sns.boxplot(x='day', y='total_bill', hue='sex', data=sns.load_dataset('tips'))
plt.title('Total Bill by Day and Gender')
plt.show()

Violin plot (categorical + KDE)

sns.violinplot(x='species', y='petal_width', data=iris, palette='pastel')
plt.title('Petal Width Distribution')
plt.show()

Swarm plot (individual observations)

sns.swarmplot(x='day', y='total_bill', data=sns.load_dataset('tips'))
plt.title('Individual Bills by Day')
plt.show()

Combination: violin + strip

sns.violinplot(x='species', y='sepal_width', data=iris, inner=None)
sns.stripplot(x='species', y='sepal_width', data=iris, color='k', size=3, jitter=True)
plt.show()