Visualizing Titanic Survival Patterns with a Sunburst Chart

🚢 Titanic Dataset Visualization Using Sunburst Chart

The Titanic dataset is one of the most widely used datasets in data science. In this guide, we’ll explore how to visualize it using a sunburst chart—a powerful way to understand hierarchical relationships.

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📚 Table of Contents

• Dataset Overview
• What is a Sunburst Chart?
• Math Behind the Visualization
• Steps to Create Chart
• Code Example
• Output
• Key Insights
• Key Takeaways
• Related Articles

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📊 Dataset Overview

Column	Description
class	Passenger class (1st, 2nd, 3rd)
sex	Gender
embark_town	Boarding location
survived	0 = No, 1 = Yes

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🌞 What is a Sunburst Chart?

A sunburst chart shows hierarchical relationships using concentric circles.

Outer layer → Class Next → Gender Next → Embark Town Inner → Survival

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📐 Math Behind the Visualization (Simple)

1. Probability of Survival

\[ P(Survival | Class) = \frac{\text{Survivors in Class}}{\text{Total Passengers in Class}} \]

This tells us survival likelihood for each class.

2. Conditional Probability

\[ P(Survival | Class, Gender) = \frac{\text{Survivors in Group}}{\text{Total in Group}} \]

👉 Example: “What is the survival rate of females in 1st class?”

3. Hierarchical Contribution

\[ Total = \sum_{i} Group_i \]

Each segment size is proportional to its count.

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⚙️ Steps to Create Sunburst Chart

1. Clean dataset
2. Select relevant columns
3. Define hierarchy
4. Generate visualization

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💻 Code Example

import plotly.express as px import pandas as pd df = px.data.titanic() df = df.dropna(subset=['class','sex','embark_town','survived']) fig = px.sunburst( df, path=['class','sex','embark_town','survived'], color='survived', color_continuous_scale='RdBu' ) fig.show()

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🖥️ Output

Click to View

Sunburst chart generated successfully.
Interactive visualization opens in browser.

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🔍 Key Insights

• 1st class passengers had higher survival rates
• Women survived more than men
• Cherbourg passengers had slightly better survival

Green = Survived Red = Did Not Survive

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💡 Key Takeaways

• Sunburst charts simplify complex relationships
• Hierarchy reveals deeper insights
• Probability helps interpret visual segments

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🎯 Final Thoughts

The sunburst chart transforms raw Titanic data into a meaningful story. It shows not just who survived—but why patterns exist across different groups.

Treemaps vs. Sunburst Charts: Choosing the Right Visualization for Hierarchical Data

📊 Treemap vs Sunburst – Storytelling with Animation

💡 Click "Next Step" to see how data evolves across hierarchy levels.

🎬 Interactive Story

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🔄 Switch to Sunburst Animation

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📖 How This Storytelling Works

• Step 1 → Shows root (Total)
• Step 2 → Adds main categories
• Step 3 → Introduces subcategories
• Step 4 → Full hierarchy revealed

💡 This technique helps users understand data progressively instead of overwhelming them.

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💻 Code Example

Plotly.animate('chart', {
  data: [{ type: 'treemap', labels: labels }]
});

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🖥 CLI Output

$ python animate.py
Step 1 loaded...
Step 2 loaded...
Visualization complete.

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