How to Create Dendrogram, Chord Diagram & Venn Diagram in Python | Batch 12 Tutorial
📊 Welcome to Python Batch 12 in our Data Visualization with Python series!
In this tutorial, you’ll learn how to create three powerful types of data relationship visualizations in Python:
🌳 Dendrogram – for hierarchical clustering
🔗 Chord Diagram – for circular relationships
🔘 Venn Diagram – for comparing multiple sets
Each visual is explained step-by-step using popular Python libraries such as SciPy, matplotlib, venn, and Plotly.
🎯 What You’ll Learn:
✅ Create a Dendrogram using scipy.cluster.hierarchy
✅ Create a Venn Diagram using matplotlib_venn
✅ Create a Chord Diagram using Plotly (or holoviews + hvPlot for alternatives)
🎨 Customize titles, colors, and layouts
🛠️ Handle common visualization errors
🧑💻 Sample Code Snippets:
🔹 Dendrogram (Clustering Tree)
python
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from scipy.cluster.hierarchy import dendrogram, linkage
import matplotlib.pyplot as plt
data = [[1,2], [3,4], [5,6], [7,8]]
linkage_matrix = linkage(data, 'ward')
dendrogram(linkage_matrix)
plt.title("Dendrogram")
plt.show()
🔹 Venn Diagram (Set Visualization)
python
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from matplotlib_venn import venn2
import matplotlib.pyplot as plt
venn2(subsets=(10, 20, 5), set_labels=('Set A', 'Set B'))
plt.title("Venn Diagram")
plt.show()
🔹 Chord Diagram (Relationship Map)
python
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Optional: plotly or holoviews with hvPlot for advanced visuals
Use plotly for a simple circular layout
More detailed implementation available upon request
⏱️ Timestamps:
00:00 Introduction
01:00 Install required libraries
02:00 Create a Dendrogram
04:30 Create a Venn Diagram
06:00 Create a Chord Diagram (basic structure)
08:00 Customize and export visuals
09:00 Summary
📦 Libraries You’ll Use:
bash
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pip install scipy matplotlib matplotlib-venn plotly pandas
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