Radar Chart
Job Candidate Evaluation
HR recruitment candidate comparison across evaluation criteria.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
# Candidate evaluation
categories = ['Experience', 'Technical\nSkills', 'Soft\nSkills', 'Culture\nFit', 'Growth\nPotential', 'References']
candidate_1 = [75, 92, 78, 85, 88, 90]
candidate_2 = [90, 80, 92, 90, 75, 85]
candidate_3 = [65, 88, 85, 78, 95, 80]
N = len(categories)
angles = np.linspace(0, 2 * np.pi, N, endpoint=False).tolist()
angles += angles[:1]
candidate_1 += candidate_1[:1]
candidate_2 += candidate_2[:1]
candidate_3 += candidate_3[:1]
fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
ax.plot(angles, candidate_1, 'o-', linewidth=2.5, color='#5314E6', label='Alex (Junior)', markersize=7)
ax.fill(angles, candidate_1, alpha=0.2, color='#5314E6')
ax.plot(angles, candidate_2, 's-', linewidth=2.5, color='#F5B027', label='Jordan (Senior)', markersize=7)
ax.fill(angles, candidate_2, alpha=0.2, color='#F5B027')
ax.plot(angles, candidate_3, '^-', linewidth=2.5, color='#6CF527', label='Taylor (Mid)', markersize=7)
ax.fill(angles, candidate_3, alpha=0.2, color='#6CF527')
ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=10, color='#374151', fontweight='500')
ax.set_ylim(0, 100)
ax.set_yticks([25, 50, 75, 100])
ax.set_yticklabels(['25', '50', '75', '100'], fontsize=9, color='#6b7280')
ax.yaxis.grid(True, color='#e5e7eb', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#e5e7eb', linestyle='-', linewidth=0.8)
ax.legend(loc='upper right', bbox_to_anchor=(1.25, 1.1), fontsize=10,
facecolor='#ffffff', edgecolor='#e5e7eb')
plt.title('Job Candidate Evaluation', fontsize=16, color='#1f2937',
fontweight='bold', pad=20)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Polar Charts
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