Social Media Platforms Bubble

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

fig, ax = plt.subplots(figsize=(14, 9), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

platforms = ['YouTube', 'Facebook', 'Instagram', 'TikTok', 'X', 'LinkedIn', 'Snapchat', 'Reddit']
dau = np.array([2.5, 2.0, 2.0, 1.5, 0.5, 0.4, 0.4, 0.08])
engagement = np.array([45, 35, 30, 52, 25, 15, 28, 35])
ad_revenue = np.array([30, 85, 50, 18, 4.5, 6, 4.5, 0.8])

colors = ['#F54927', '#276CF5', '#F527B0', '#27D3F5', '#F5B027', '#4927F5', '#F5D327', '#F5276C']
sizes = ad_revenue * 30

for glow_mult, glow_alpha in [(3.5, 0.02), (2.8, 0.04), (2.2, 0.06), (1.7, 0.10), (1.3, 0.15)]:
    ax.scatter(dau, engagement, s=sizes*glow_mult, c=colors, alpha=glow_alpha, edgecolors='none')

ax.scatter(dau, engagement, s=sizes, c=colors, alpha=0.9, edgecolors='none')
ax.scatter(dau, engagement, s=sizes*0.4, c=colors, alpha=0.4, edgecolors='none')
ax.scatter(dau - np.sqrt(sizes)*0.01, engagement + np.sqrt(sizes)*0.06, s=sizes*0.15, c='white', alpha=0.5, edgecolors='none')

for i, platform in enumerate(platforms):
    offset_y = np.sqrt(sizes[i])/2 + 10
    ax.annotate(platform, (dau[i], engagement[i]), fontsize=11, color='white',
                ha='center', va='bottom', xytext=(0, offset_y), textcoords='offset points', fontweight='bold')

ax.text(0.0, 1.08, 'Social Media Platforms', transform=ax.transAxes, fontsize=24, color='white', fontweight='bold')
ax.text(0.0, 1.02, 'Daily Users vs Engagement · Bubble size = Ad Revenue', transform=ax.transAxes, fontsize=11, color='#555555')

ax.set_xlabel('Daily Active Users (Billions)', fontsize=14, color='#888888', fontweight='500', labelpad=15)
ax.set_ylabel('Avg. Engagement (min/day)', fontsize=14, color='#888888', fontweight='500', labelpad=15)
ax.tick_params(colors='#555555', labelsize=11, length=0)

for y in [10, 20, 30, 40, 50, 60]:
    ax.axhline(y=y, color='#1a1a2e', linewidth=0.8, zorder=0)
for spine in ax.spines.values():
    spine.set_visible(False)

plt.tight_layout()
plt.show()