Social Media Engagement Map

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

np.random.seed(42)

# Social media engagement data
likes = np.concatenate([
    np.random.exponential(500, 3000),
    np.random.normal(2000, 300, 1000)
])
shares = likes * (0.1 + 0.05 * np.random.randn(len(likes))) + np.random.exponential(50, len(likes))
shares = np.clip(shares, 0, None)

fig, ax = plt.subplots(figsize=(10, 8), facecolor='#020B14')
ax.set_facecolor('#020B14')

# Custom colormap: coral to yellow
colors = ['#020B14', '#3d1a2e', '#F5276C', '#F5B027', '#F5D327']
cmap = LinearSegmentedColormap.from_list('coral_yellow', colors, N=256)

h = ax.hist2d(likes, shares, bins=50, cmap=cmap, cmin=1)
cbar = plt.colorbar(h[3], ax=ax, pad=0.02)
cbar.set_label('Post Count', color='white', fontsize=11)
cbar.ax.yaxis.set_tick_params(color='white')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='white')

ax.set_xlabel('Likes', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Shares', fontsize=11, color='white', fontweight='500')
ax.set_title('Social Media Engagement Map', fontsize=14, color='white', fontweight='bold', pad=15)

ax.tick_params(colors='white', labelsize=9)
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()