Project Health Dashboard

import matplotlib.pyplot as plt
import numpy as np

metrics = ['Budget', 'Timeline', 'Scope', 'Quality', 'Risk', 'Resources']
current = [78, 65, 88, 82, 55, 72]
target = [85, 80, 85, 90, 70, 80]

current += current[:1]
target += target[:1]
angles = np.linspace(0, 2 * np.pi, len(metrics), endpoint=False).tolist()
angles += angles[:1]

fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

ax.plot(angles, target, color='#e5e7eb', linewidth=2.5, linestyle='--', label='Target')
ax.fill(angles, target, color='#e5e7eb', alpha=0.1)

ax.plot(angles, current, color='#6CF527', linewidth=2.5, label='Current')
ax.fill(angles, current, color='#6CF527', alpha=0.3)

# Highlight underperforming areas
for i, (c, t) in enumerate(zip(current[:-1], target[:-1])):
    if c < t - 10:
        ax.scatter(angles[i], c, color='#F5276C', s=100, zorder=5, edgecolor='white', linewidth=2)

ax.set_xticks(angles[:-1])
ax.set_xticklabels(metrics, fontsize=11, color='#1f2937', fontweight='500')
ax.set_ylim(0, 100)
ax.set_yticks([25, 50, 75, 100])
ax.set_yticklabels(['25', '50', '75', '100'], fontsize=9, color='#374151')
ax.spines['polar'].set_color('#e5e7eb')
ax.grid(color='#e5e7eb', linewidth=0.8)
ax.legend(loc='upper right', bbox_to_anchor=(1.2, 1.1), fontsize=10)
ax.set_title('Project Health Dashboard', fontsize=16, color='#1f2937', fontweight='bold', pad=20, y=1.08)

plt.tight_layout()
plt.show()