Customer Wait Time by Service Type

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

np.random.seed(209)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#27D3F5', '#F54927', '#6CF527']

services = ['Express', 'Standard', 'Premium']
data = pd.DataFrame({
    'Wait': np.concatenate([
        np.random.gamma(2, 2, 120),
        np.random.gamma(4, 3, 150),
        np.random.gamma(1.5, 1.5, 80)
    ]),
    'Service': ['Express']*120 + ['Standard']*150 + ['Premium']*80
})

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

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

ax.axvline(5, color='#ef4444', linestyle='--', alpha=0.6, linewidth=1.5)
ax.text(5.3, 2.5, 'Target', color='#ef4444', fontsize=9)

ax.set_xlabel('Wait Time (minutes)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Service Type', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Customer Wait Time by Service', 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()