Social Network Metrics

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

np.random.seed(333)

n = 170
platforms = np.random.choice(['Professional', 'Social', 'Content'], n)
data = {
    'Followers (K)': np.where(platforms == 'Content', np.random.lognormal(3, 1, n),
                             np.where(platforms == 'Social', np.random.lognormal(2.5, 1.2, n), np.random.lognormal(1.5, 0.8, n))),
    'Posts/Day': np.where(platforms == 'Content', np.random.normal(2, 0.8, n),
                         np.where(platforms == 'Social', np.random.normal(5, 2, n), np.random.normal(0.5, 0.2, n))),
    'Engagement (%)': np.where(platforms == 'Professional', np.random.normal(3, 1, n),
                              np.where(platforms == 'Social', np.random.normal(5, 2, n), np.random.normal(8, 3, n))),
    'Reach (K)': np.random.lognormal(2, 1, n),
    'Platform': platforms
}
df = pd.DataFrame(data)

plt.style.use('dark_background')
sns.set_style("darkgrid", {'axes.facecolor': '#0a0a0f', 'figure.facecolor': '#0a0a0f', 'grid.color': '#333333'})

palette = {'Professional': '#276CF5', 'Social': '#F527B0', 'Content': '#F5D327'}

g = sns.pairplot(
    df,
    hue='Platform',
    palette=palette,
    height=2,
    kind='scatter',
    diag_kind='kde',
    markers=['s', 'o', '^'],
    plot_kws={'alpha': 0.7, 's': 50, 'edgecolor': 'white', 'linewidths': 0.4},
    diag_kws={'alpha': 0.5, 'linewidth': 2.5, 'fill': True}
)

g.fig.set_facecolor('#0a0a0f')
for ax in g.axes.flat:
    if ax:
        ax.set_facecolor('#0a0a0f')
        for spine in ax.spines.values():
            spine.set_color('#333333')
        ax.tick_params(colors='#888888')
        ax.xaxis.label.set_color('white')
        ax.yaxis.label.set_color('white')

g.fig.suptitle('Platform Engagement Analysis', fontsize=14, fontweight='bold', color='white', y=1.02)
plt.setp(g._legend.get_title(), color='white')
plt.setp(g._legend.get_texts(), color='white')

plt.tight_layout()
plt.show()