Supply Chain Risk Assessment

import matplotlib.pyplot as plt
import numpy as np

# Risk categories
categories = ['Supplier\nStability', 'Logistics', 'Quality\nControl', 'Cyber\nSecurity', 
              'Compliance', 'Cost\nVolatility', 'Geo-Political', 'Capacity']
current_risk = [72, 58, 85, 45, 78, 62, 38, 70]
threshold = [60, 60, 60, 60, 60, 60, 60, 60]

# Prepare angles
angles = np.linspace(0, 2 * np.pi, len(categories), endpoint=False).tolist()
risk_plot = current_risk + [current_risk[0]]
threshold_plot = threshold + [threshold[0]]
angles += angles[:1]

# Dark theme
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#020B14')
ax.set_facecolor('#020B14')

# Risk threshold line
ax.plot(angles, threshold_plot, color='#F5276C', linestyle='--', linewidth=2, alpha=0.8, label='Risk Threshold')
ax.fill(angles, threshold_plot, color='#F5276C', alpha=0.1)

# Current risk with glow
for lw, alpha in [(14, 0.06), (10, 0.12), (6, 0.25)]:
    ax.plot(angles, risk_plot, color='#27D3F5', linewidth=lw, alpha=alpha)
ax.plot(angles, risk_plot, color='#27D3F5', linewidth=2.5, label='Current Risk')
ax.fill(angles, risk_plot, color='#27D3F5', alpha=0.2)

# Highlight high-risk points
for angle, val in zip(angles[:-1], current_risk):
    color = '#F5276C' if val < 60 else '#27F5B0'
    ax.scatter(angle, val, color=color, s=120, zorder=5, edgecolors='white', linewidth=1.5)

# Styling
ax.set_ylim(0, 100)
ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=10, color='white', fontweight='500')
ax.set_yticks([25, 50, 75, 100])
ax.set_yticklabels(['25', '50', '75', '100'], fontsize=9, color='#888888')

ax.spines['polar'].set_color('#555555')
ax.grid(color='#555555', linewidth=0.8, alpha=0.7)
ax.tick_params(colors='#888888')

ax.set_title('Supply Chain Risk Analysis', fontsize=16, color='white', fontweight='bold', pad=25)
ax.legend(loc='upper right', bbox_to_anchor=(1.25, 1.1), frameon=False, labelcolor='white')

plt.tight_layout()
plt.show()