🌐 Day 36: Network Chart in Python

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🔹 What is a Network Chart?

A Network Chart (also called Network Graph) shows relationships between different items.

• Circles = Nodes

• Lines = Connections

• Shows how things are linked

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🔹 When Should You Use It?

Use a network chart when:

• Showing social connections

• Visualizing team collaboration

• Displaying system architecture

• Mapping relationships between concepts

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🔹 Example Scenario

Social Media Connections:

• You

• Designer

• Developer

• Marketer

• Client

It shows who is connected to whom.

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🔹 Key Idea Behind It

👉 Nodes represent entities
👉 Edges (lines) represent relationships
👉 More connections = more central node

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🔹 Python Code (Simple Network Chart – NetworkX)

import networkx as nx
import matplotlib.pyplot as plt

# Create graph
G = nx.Graph()

# Add connections
 G.add_edges_from([
 ("You", "Designer"), 
("You", "Developer"), 
("Designer", "Marketer"), 
("Developer", "Client"),
 ("Marketer", "Client") ]) 
# Draw graph
plt.figure(figsize=(6,6))
nx.draw(G, with_labels=True, node_size=3000, node_color="skyblue", font_size=10)
plt.title("Team Collaboration Network")
plt.show()

📌 Install if needed:

pip install networkx

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🔹 Output Explanation (Beginner Friendly)

• Each circle is a person.

• Each line shows a connection.

• If two people are connected, they work together.

• If someone has many lines, they are more connected.

You can easily see:

👉 Who is central in the network
👉 Who connects different people
👉 How everyone is related

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🔹 Network Chart vs Sankey Diagram

Aspect	Network Chart	Sankey
Shows relationships	✅	❌
Shows flow quantity	❌	✅
Good for social graphs	Excellent	Limited
Shows direction	Optional	Yes

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🔹 Key Takeaways

• Best for relationship visualization

• Great for social networks

• Easy to understand

• Powerful for concept mapping