Radar Chart
360 Degree Performance Review
Radar chart showing 360-degree feedback from multiple evaluators including self-assessment, manager review, peer feedback, and direct report evaluations.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
# Performance dimensions
categories = ['Communication', 'Technical Skills', 'Leadership', 'Teamwork',
'Problem Solving', 'Initiative', 'Time Management', 'Adaptability']
self_eval = [85, 90, 75, 88, 82, 80, 78, 85]
manager = [78, 88, 72, 85, 85, 75, 82, 80]
peers = [82, 85, 78, 92, 80, 82, 75, 83]
reports = [75, 82, 85, 88, 78, 78, 80, 82]
N = len(categories)
angles = np.linspace(0, 2 * np.pi, N, endpoint=False).tolist()
angles += angles[:1]
self_eval += self_eval[:1]
manager += manager[:1]
peers += peers[:1]
reports += reports[:1]
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
ax.plot(angles, self_eval, 'o-', linewidth=2.5, color='#F5B027', label='Self Assessment', markersize=7)
ax.fill(angles, self_eval, alpha=0.1, color='#F5B027')
ax.plot(angles, manager, 's-', linewidth=2.5, color='#276CF5', label='Manager Review', markersize=7)
ax.fill(angles, manager, alpha=0.1, color='#276CF5')
ax.plot(angles, peers, '^-', linewidth=2.5, color='#6CF527', label='Peer Feedback', markersize=7)
ax.fill(angles, peers, alpha=0.1, color='#6CF527')
ax.plot(angles, reports, 'D-', linewidth=2.5, color='#F5276C', label='Direct Reports', markersize=7)
ax.fill(angles, reports, alpha=0.1, color='#F5276C')
ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=11, color='#374151', fontweight='500')
ax.set_ylim(0, 100)
ax.yaxis.grid(True, color='#e5e7eb', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#d1d5db', linestyle='-', linewidth=0.5)
ax.spines['polar'].set_color('#d1d5db')
ax.set_title('360 Performance Review - Q4 2024', fontsize=16, color='#1f2937',
fontweight='bold', pad=25)
ax.legend(loc='upper right', bbox_to_anchor=(1.18, 1.1), fontsize=10,
frameon=True, facecolor='white', edgecolor='#e5e7eb')
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Polar Charts
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