Social Media Engagement Rate

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

np.random.seed(999)

platforms = ['TikTok', 'Instagram', 'YouTube', 'Twitter', 'LinkedIn', 'Facebook']
colors = ['#F5276C', '#F54927', '#F5276C', '#27D3F5', '#276CF5', '#4927F5']

data = {
    'TikTok': np.random.beta(3, 12, 500) * 20,
    'Instagram': np.random.beta(2.5, 15, 500) * 15,
    'YouTube': np.random.beta(2, 18, 500) * 12,
    'Twitter': np.random.beta(1.5, 20, 500) * 10,
    'LinkedIn': np.random.beta(2, 25, 500) * 8,
    'Facebook': np.random.beta(1.2, 30, 500) * 6
}

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

overlap = 1.6
x_range = np.linspace(0, 12, 300)

for i, (platform, rate) in enumerate(data.items()):
    kde = stats.gaussian_kde(rate, 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])
    ax.plot(x_range, y + baseline, color=colors[i], linewidth=2.5)
    
    ax.text(-0.3, baseline + 0.12, platform, fontsize=10, color='#1f2937',
            ha='right', va='bottom', fontweight='600')

ax.set_xlim(-2.5, 12)
ax.set_ylim(-0.3, len(platforms) * overlap + 1.8)
ax.set_xlabel('Engagement Rate (%)', fontsize=12, color='#374151', fontweight='500')
ax.set_title('Social Media Engagement Rate', fontsize=16, color='#1f2937', fontweight='bold', pad=20)

ax.tick_params(axis='x', colors='#374151', labelsize=10)
ax.tick_params(axis='y', left=False, labelleft=False)
ax.spines['bottom'].set_color('#e5e7eb')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)

plt.tight_layout()
plt.show()