Social Media Metrics by Channel

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np

np.random.seed(777)

platforms = ['Instagram', 'TikTok', 'YouTube', 'Twitter']
data = []
for plat in platforms:
    n = 45
    followers = np.random.uniform(1000, 1000000, n)
    engagement_rates = {'Instagram': 0.035, 'TikTok': 0.055, 'YouTube': 0.025, 'Twitter': 0.02}
    engagement = engagement_rates[plat] * np.log10(followers) * 100 + np.random.normal(0, 0.8, n)
    for f, e in zip(followers, engagement):
        data.append({'Followers': f, 'Engagement Rate (%)': e, 'Platform': plat})

df = pd.DataFrame(data)
df['Log Followers'] = np.log10(df['Followers'])

sns.set_style("whitegrid", {
    'axes.facecolor': '#ffffff',
    'figure.facecolor': '#ffffff',
    'grid.color': '#eeeeee'
})

palette = ['#F527B0', '#27F5B0', '#F54927', '#27D3F5']

g = sns.lmplot(
    data=df,
    x='Log Followers',
    y='Engagement Rate (%)',
    hue='Platform',
    col='Platform',
    col_wrap=2,
    height=3.5,
    aspect=1.2,
    palette=palette,
    scatter_kws={'alpha': 0.7, 's': 50, 'edgecolor': 'white', 'linewidths': 0.6},
    line_kws={'linewidth': 2.5},
    ci=95
)

g.fig.set_facecolor('#ffffff')
for ax in g.axes.flat:
    ax.set_facecolor('#ffffff')
    for spine in ax.spines.values():
        spine.set_color('#dddddd')

g.fig.suptitle('Social Media Engagement Scaling', fontsize=14, fontweight='bold', color='#1a1a1a', y=1.02)
plt.tight_layout()
plt.show()