Response Rate by Survey Type

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

np.random.seed(218)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#F5276C', '#F5B027', '#27F5B0']

types = ['Email', 'Phone', 'In-Person']
data = pd.DataFrame({
    'Rate': np.concatenate([
        np.random.beta(3, 7, 100) * 100,
        np.random.beta(5, 5, 80) * 100,
        np.random.beta(7, 3, 60) * 100
    ]),
    'Type': ['Email']*100 + ['Phone']*80 + ['In-Person']*60
})

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

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

ax.set_xlabel('Response Rate (%)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Survey Type', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Survey Response Rate by Method', 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()