User Analytics by Device Type

import matplotlib.pyplot as plt
import squarify
import numpy as np

# Sessions by device (in thousands)
labels = ['iOS Mobile', 'Android Mobile', 'Windows Desktop', 'macOS Desktop',
          'iPad Tablet', 'Android Tablet', 'Chrome OS', 'Linux', 'Smart TV']
sizes = [380, 420, 285, 145, 85, 55, 45, 38, 22]
total = sum(sizes)

# CLAUDE.md colors
colors = ['#F5276C', '#6CF527', '#276CF5', '#27D3F5', '#F5B027',
          '#5314E6', '#F54927', '#27F5B0', '#C82909']

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

pct = [s/total*100 for s in sizes]
squarify.plot(sizes=sizes, 
              label=[f'{l}\n{s}K ({p:.1f}%)' for l, s, p in zip(labels, sizes, pct)],
              color=colors, alpha=0.85, ax=ax,
              text_kwargs={'fontsize': 9, 'color': 'white', 'fontweight': 'bold'})

ax.axis('off')
ax.set_title(f'User Sessions by Device - {total/1000:.2f}M Total', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()