Raincloud Plot
Social Media Engagement by Post Type
Interaction rates across content formats
Output
Python
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import ptitprince as pt
np.random.seed(210)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#F5276C', '#4927F5', '#F5B027', '#27F5B0']
types = ['Image', 'Video', 'Carousel', 'Story']
data = pd.DataFrame({
'Engagement': np.concatenate([
np.random.lognormal(1.5, 0.6, 100),
np.random.lognormal(2.0, 0.7, 90),
np.random.lognormal(1.8, 0.5, 85),
np.random.lognormal(2.2, 0.8, 75)
]),
'Type': ['Image']*100 + ['Video']*90 + ['Carousel']*85 + ['Story']*75
})
fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)
pt.RainCloud(x='Type', y='Engagement', data=data, palette=COLORS,
bw=.2, width_viol=.6, ax=ax, orient='h', alpha=.65,
dodge=True, pointplot=False, move=.2)
ax.set_xlabel('Engagement Rate (%)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Post Type', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Social Media Engagement by Format', 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()
Library
Matplotlib
Category
Statistical
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