Raincloud Plot

Website Load Time by Hosting Provider

Page speed distribution across cloud providers

Output
Website Load Time by Hosting Provider
Python
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import ptitprince as pt

np.random.seed(113)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#F54927', '#27F5B0', '#276CF5']

providers = ['AWS', 'Azure', 'GCP']
data = pd.DataFrame({
    'LoadTime': np.concatenate([
        np.random.gamma(2, 0.4, 120),
        np.random.gamma(2.2, 0.45, 115),
        np.random.gamma(1.9, 0.38, 125)
    ]),
    'Provider': ['AWS']*120 + ['Azure']*115 + ['GCP']*125
})

fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)

pt.RainCloud(x='Provider', y='LoadTime', data=data, palette=COLORS,
             bw=.2, width_viol=.6, ax=ax, orient='h', alpha=.65,
             dodge=True, pointplot=False, move=.2)

ax.axvline(2.5, color='#22c55e', linestyle='--', alpha=0.6, linewidth=1.5)
ax.text(2.6, 2.5, 'Good', color='#22c55e', fontsize=9)

ax.set_xlabel('Load Time (seconds)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Provider', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Website Performance by Provider', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors='#888', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#333')

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Statistical

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