internet penetration

internet penetration.py

import numpy as np
import matplotlib.pyplot as plt

# Time vector
t = np.linspace(2000, 2045, 1000)

# Logistic growth parameters
L = 90  # asymptotic max (%)
k = 0.15  # growth rate
t0 = 2023  # inflection point

# Internet penetration sigmoid
internet_penetration = L / (1 + np.exp(-k * (t - t0)))

# Plot
plt.figure(figsize=(10, 5))
plt.plot(t, internet_penetration, color='green', linewidth=2.5, label='Global Internet Penetration (%)')
plt.axvline(x=2025, color='gray', linestyle=':', linewidth=1)
plt.text(2025.5, 70, '2025: ~68%', color='gray')

plt.title('Global Internet Penetration Over Time')
plt.xlabel('Year')
plt.ylabel('Penetration (%)')
plt.grid(True, linestyle='--', alpha=0.5)
plt.ylim(0, 100)
plt.legend()
plt.tight_layout()
plt.show()