Seaborn is a Python visualization library built on top of Matplotlib.
🚀 Why Use Seaborn:
- Better-looking default plots
- Easier syntax
- Built-in statistical visuals
🔧 Example Code:
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
data = [10, 20, 30, 40]
sns.lineplot(data=data)
plt.show()
📊 What Seaborn Adds:
- Heatmaps
- Pair plots
- Distribution plots
❓ Check Your Understanding:
- Why not just use Matplotlib alone?
- What is the advantage of Seaborn’s default styling?
- When would Seaborn NOT be necessary?
🧪 Practice Task:
- Plot a histogram using Seaborn
- Then plot the same using Matplotlib
- Compare the visuals