Treemap
Website Traffic Sources Analysis
Dark-themed treemap visualizing website traffic distribution across different acquisition channels including organic, paid, social, and referral sources.
Output
Python
import matplotlib.pyplot as plt
import squarify
import numpy as np
# Traffic sources (sessions in thousands)
labels = ['Organic Search', 'Direct', 'Paid Search', 'Social Media',
'Email', 'Referral', 'Display Ads', 'Affiliates']
sizes = [450, 280, 190, 165, 120, 85, 55, 40]
total = sum(sizes)
# CLAUDE.md colors
colors = ['#6CF527', '#27D3F5', '#F5B027', '#F5276C',
'#5314E6', '#276CF5', '#F54927', '#27F5B0']
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': 10, 'color': 'white', 'fontweight': 'bold'})
ax.axis('off')
ax.set_title(f'Website Traffic Sources - {total/1000:.2f}M Sessions',
fontsize=18, color='#f8fafc', fontweight='bold', pad=20)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Part-to-Whole
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