Wine Quality Score by Region

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

np.random.seed(212)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#9C2007', '#F5B027', '#5314E6', '#27F5B0']

regions = ['Bordeaux', 'Napa Valley', 'Tuscany', 'Rioja']
data = pd.DataFrame({
    'Score': np.concatenate([
        np.random.beta(8, 2, 80) * 100,
        np.random.beta(7.5, 2.5, 90) * 100,
        np.random.beta(8.2, 2, 75) * 100,
        np.random.beta(7, 2.8, 85) * 100
    ]),
    'Region': ['Bordeaux']*80 + ['Napa Valley']*90 + ['Tuscany']*75 + ['Rioja']*85
})

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

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

ax.set_xlabel('Quality Score', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Wine Region', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Wine Quality by Region', 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()