Sleep Quality Score by Age Group

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

np.random.seed(109)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#276CF5', '#6CF527', '#F5B027', '#F5276C']

ages = ['18-30', '31-45', '46-60', '60+']
data = pd.DataFrame({
    'Score': np.concatenate([
        np.random.normal(78, 12, 100),
        np.random.normal(72, 14, 110),
        np.random.normal(65, 15, 95),
        np.random.normal(60, 16, 85)
    ]),
    'Age': ['18-30']*100 + ['31-45']*110 + ['46-60']*95 + ['60+']*85
})

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

pt.RainCloud(x='Age', 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('Sleep Quality Score', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Age Group', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Sleep Quality by Age Group', 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()