Internet Speed by ISP

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import ptitprince as pt

np.random.seed(213)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#F5276C', '#27D3F5', '#6CF527']

isps = ['Fiber', 'Cable', 'DSL']
data = pd.DataFrame({
    'Speed': np.concatenate([
        np.random.normal(800, 150, 80),
        np.random.normal(350, 100, 100),
        np.random.normal(80, 30, 70)
    ]),
    'ISP': ['Fiber']*80 + ['Cable']*100 + ['DSL']*70
})

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

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

ax.set_xlabel('Download Speed (Mbps)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Connection Type', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Internet Speed by Provider Type', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors='#374151', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#e5e7eb')

plt.tight_layout()
plt.show()