Saturday, 21 February 2026

πŸ•Έ️ Day 33: Radar Chart (Spider Chart) in Python


 

πŸ•Έ️ Day 33: Radar Chart (Spider Chart) in Python


πŸ”Ή What is a Radar Chart?

A Radar Chart visualizes multiple variables on a circular axis.

Each variable:

  • Has its own axis

  • Starts from the center

  • Forms a shape representing performance


πŸ”Ή When Should You Use It?

Use a radar chart when:

  • Comparing two or more people

  • Comparing product features

  • Showing strengths & weaknesses

  • Visualizing performance metrics


πŸ”Ή Example Scenario

Comparing Expert vs Novice across skills:

  • Logic

  • Art

  • Code

  • Math

  • Team

  • Speech

Radar charts clearly highlight performance differences.


πŸ”Ή Key Idea Behind It

πŸ‘‰ Each spoke = one skill
πŸ‘‰ Distance from center = score
πŸ‘‰ Shape shows performance pattern
πŸ‘‰ Overlapping shapes show comparison


πŸ”Ή Python Code (Interactive Radar Chart – Plotly)

import plotly.express as px
 import pandas as pd 
 # 1. Organize data into a tidy format
 df = pd.DataFrame({
 'Score': [90, 80, 60, 85, 75, 95, 70, 85, 90, 60, 80, 70],
 'Skill': ['Logic', 'Art', 'Code', 'Math', 'Team', 'Speech'] * 2, 
 'Person': ['Expert', 'Expert', 'Expert', 'Expert', 'Expert', 'Expert',
 'Novice', 'Novice', 'Novice', 'Novice', 'Novice', 'Novice']
 }) 
 # 2. Create the chart 
fig = px.line_polar( 
 df, 
 r='Score',
 theta='Skill', 
 color='Person', 
 line_close=True, 
 template="plotly_dark", 
 color_discrete_sequence=px.colors.qualitative.Pastel ) 

 # 3. Fill the area fig.update_traces(fill='toself', opacity=0.6) fig.show()


πŸ“Œ Install Plotly if needed:
pip install plotly

πŸ”Ή Output Explanation

  • Two colored shapes represent Expert and Novice

  • Larger outward shape = higher score

  • Overlapping areas show skill differences

  • Interactive hover shows exact values

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