Social Engagement by Platform

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(42)

# Reverse order so Facebook is at top (drawn last, most visible)
platforms = ['Facebook', 'LinkedIn', 'Twitter', 'Instagram', 'TikTok']
colors = ['#4927F5', '#276CF5', '#27D3F5', '#F5B027', '#F5276C']

# Generate engagement rate data (percentage)
data = {
    'Facebook': np.random.beta(1.5, 35, 400) * 10 + 0.2,
    'LinkedIn': np.random.beta(1.8, 30, 400) * 12 + 0.3,
    'Twitter': np.random.beta(2, 25, 400) * 15 + 0.5,
    'Instagram': np.random.beta(2.5, 20, 400) * 20 + 1,
    'TikTok': np.random.beta(3, 15, 400) * 25 + 2
}

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

overlap = 1.6
x_range = np.linspace(0, 15, 300)

for i, (platform, engagement) in enumerate(data.items()):
    kde = stats.gaussian_kde(engagement, bw_method=0.35)
    y = kde(x_range) * 3.5
    baseline = i * overlap
    
    ax.fill_between(x_range, baseline, y + baseline, 
                    alpha=0.7, color=colors[i], linewidth=0)
    ax.plot(x_range, y + baseline, color=colors[i], linewidth=2)
    ax.text(-0.3, baseline + 0.15, platform, fontsize=11, color='white',
            ha='right', va='bottom', fontweight='500')

ax.set_xlim(-3.5, 15)
ax.set_ylim(-0.3, len(platforms) * overlap + 2.5)
ax.set_xlabel('Engagement Rate (%)', fontsize=12, color='white', fontweight='500')
ax.set_title('Social Engagement by Platform', fontsize=16, color='white', 
             fontweight='bold', pad=20)

ax.tick_params(axis='x', colors='#888888', labelsize=10)
ax.tick_params(axis='y', left=False, labelleft=False)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color('#333333')

plt.tight_layout()
plt.show()