Customer Satisfaction by Service Channel

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

np.random.seed(103)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#F54927', '#27D3F5', '#D3F527', '#F527B0']

channels = ['Phone', 'Chat', 'Email', 'Self-Service']
data = pd.DataFrame({
    'NPS': np.concatenate([
        np.random.normal(72, 15, 120),
        np.random.normal(78, 12, 150),
        np.random.normal(65, 18, 100),
        np.random.normal(58, 20, 80)
    ]),
    'Channel': ['Phone']*120 + ['Chat']*150 + ['Email']*100 + ['Self-Service']*80
})

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

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

ax.set_xlabel('NPS Score', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Service Channel', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Customer Satisfaction by Channel', 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()