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Swarm Plot

  • This module teaches how to create swarm plots in Seaborn to visualize non-overlapping individual data points. You will learn how swarm plots improve category comparison and how they differ from strip plots in Python.

  • What is a Swarm Plot?

    A Swarm Plot is similar to a Strip Plot but:

    Shows individual data points
    Avoids overlapping automatically
    Provides clear category-wise distribution

    It is also called a beeswarm plot.


    Non-overlapping Data Points

    Theory

    In Strip Plot:

    • Points may overlap

    • Jitter spreads points randomly

    In Swarm Plot:

    • Points are arranged automatically

    • No overlapping

    • More accurate distribution view

    It uses an algorithm to adjust point positions.

    Example Code

Swarm Plot – Total Bill by Day

This visualization uses a swarm plot to display individual total bill values for each day of the week. 

import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset("tips")

sns.swarmplot(x="day", y="total_bill", data=tips)
plt.title("Swarm Plot - Total Bill by Day")
plt.show()
Lesson image

  • Output Explanation

    • X-axis → Day

    • Y-axis → Total Bill

    • Each dot → One observation

    • No dots overlap

    You can clearly see:

    • Spread of values

    • Clusters

    • Outliers


    Better Category Visualization

    Why Better?

    Swarm plot provides:

    Clear distribution shape
    Easy comparison between categories
    Better readability than strip plot

    Especially useful when dataset is small to medium.

    Example — Category Comparison

Swarm Plot with Gender Comparison

This visualization uses a swarm plot to compare total bill amounts across different days, separated by gender. 

sns.swarmplot(x="day", y="total_bill", hue="sex", data=tips)
plt.title("Swarm Plot with Gender Comparison")
plt.show()
Lesson image

  • Output Explanation

    • Different colors → Male vs Female

    • Compare:

      • Which group spends more

      • Spread difference

      • Outliers

    Each category shows real, non-overlapping points.


    Combining with Box Plot

    Very powerful visualization:

Boxplot + Swarm Plot (Combined Visualization)

This powerful visualization combines a box plot and a swarm plot to present both statistical summary and individual data points for total bills across different days. 

sns.boxplot(x="day", y="total_bill", data=tips)
sns.swarmplot(x="day", y="total_bill", data=tips, color="black")
plt.title("Boxplot + Swarm Plot")
plt.show()
Lesson image

  • Why Combine?

    • Box plot → Statistical summary

    • Swarm plot → Individual observations

    Best for presentations & business reports.


    Comparison with Strip Plot

    Feature

    Strip Plot

    Swarm Plot

    Overlapping

    Possible

    No

    Uses Jitter

    Yes

    No

    Accuracy

    Moderate

    High

    Performance

    Faster

    Slightly slower

    Readability

    Medium

    Better


    Custom Styling

    Horizontal Swarm Plot

sns.swarmplot(y="day", x="total_bill", data=tips)

  • Adjust Size

sns.swarmplot(x="day", y="total_bill", data=tips, size=6)

  • Change Color

sns.swarmplot(x="day", y="total_bill", data=tips, palette="Set2")
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