Flight Delay by Airline

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

np.random.seed(211)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#276CF5', '#F54927', '#6CF527', '#F5B027']

airlines = ['Delta', 'United', 'Southwest', 'American']
data = pd.DataFrame({
    'Delay': np.concatenate([
        np.random.exponential(12, 100),
        np.random.exponential(18, 95),
        np.random.exponential(10, 110),
        np.random.exponential(15, 90)
    ]),
    'Airline': ['Delta']*100 + ['United']*95 + ['Southwest']*110 + ['American']*90
})

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

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

ax.axvline(15, color='#ef4444', linestyle='--', alpha=0.6, linewidth=1.5)
ax.text(16, 3.5, 'On-Time Threshold', color='#ef4444', fontsize=9)

ax.set_xlabel('Delay (minutes)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Airline', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Flight Delays by Airline', 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()