Data Science

Beautiful Charts with Seaborn

SQL Mastery Team
June 1, 2026
5 min read

It's **Day 131**, and we're leveling up our aesthetics. Matplotlib is powerful, but Seaborn is **Stunning**.

Why Seaborn?

Seaborn is designed for Data Science. It handles DataFrames natively and comes with elegant color palettes and statistically-enhanced charts.

The Syntax

import seaborn as sns

# Set the style to 'darkgrid'

sns.set_theme(style="darkgrid")

# Create a bar chart from a DataFrame

sns.barplot(data=df, x='category', y='sales', hue='region')

plt.show()

The Power of 'Hue'

Notice the `hue` parameter? It automatically creates a "Grouped" chart, splitting your categories by a third variable (like Region) and assigning colors automatically. Doing this in Matplotlib would take 15 lines of code!

Your Task for Today

Import Seaborn and use `sns.lineplot` to draw a line chart from a DataFrame.

*Day 132: Creating Heatmaps for Correlation Matrices.*

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