Social Media Platform Engagement Analysis

import matplotlib.pyplot as plt
import numpy as np

# Social media metrics
categories = ['User Engagement', 'Reach Potential', 'Ad ROI', 'Content Virality',
              'Influencer Value', 'Video Performance', 'Shopping Features', 'Young Demographics']
              
tiktok = [98, 95, 85, 98, 90, 98, 78, 98]
instagram = [88, 90, 90, 80, 95, 85, 95, 85]
youtube = [85, 92, 88, 75, 88, 98, 70, 75]
linkedin = [75, 78, 92, 55, 70, 65, 45, 35]

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

tiktok += tiktok[:1]
instagram += instagram[:1]
youtube += youtube[:1]
linkedin += linkedin[:1]

fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

ax.plot(angles, tiktok, 'o-', linewidth=2.5, color='#27D3F5', label='TikTok', markersize=7)
ax.fill(angles, tiktok, alpha=0.15, color='#27D3F5')

ax.plot(angles, instagram, 's-', linewidth=2.5, color='#F5276C', label='Instagram', markersize=7)
ax.fill(angles, instagram, alpha=0.15, color='#F5276C')

ax.plot(angles, youtube, '^-', linewidth=2.5, color='#C82909', label='YouTube', markersize=7)
ax.fill(angles, youtube, alpha=0.15, color='#C82909')

ax.plot(angles, linkedin, 'D-', linewidth=2.5, color='#276CF5', label='LinkedIn', markersize=7)
ax.fill(angles, linkedin, alpha=0.15, color='#276CF5')

ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=10, color='#e2e8f0', fontweight='500')
ax.set_ylim(0, 100)

ax.yaxis.grid(True, color='#1e293b', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#334155', linestyle='-', linewidth=0.5)
ax.spines['polar'].set_color('#334155')
ax.tick_params(axis='y', colors='#94a3b8')

ax.set_title('Social Media Platform Comparison', fontsize=16, color='#f8fafc',
             fontweight='bold', pad=25)

ax.legend(loc='upper right', bbox_to_anchor=(1.25, 1.1), fontsize=10,
          frameon=True, facecolor='#1e293b', edgecolor='#334155', labelcolor='#e2e8f0')

plt.tight_layout()
plt.show()