Download Speed ECDF

import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
speed = np.random.lognormal(4.5, 0.7, 800)

ax.ecdf(speed, color='#0891b2', linewidth=2.5)

advertised = 100
ax.axvline(x=advertised, color='#7c3aed', linestyle='--', linewidth=2, 
           label=f'Advertised: {advertised} Mbps')

ax.set_xlabel('Download Speed (Mbps)', fontsize=12, color='#1f2937')
ax.set_ylabel('Cumulative Probability', fontsize=12, color='#1f2937')
ax.set_title('Internet Download Speed ECDF', fontsize=16, fontweight='bold', color='#1f2937', pad=20)
ax.set_xlim(0, 300)
ax.legend(loc='lower right')
ax.grid(True, alpha=0.3)

for spine in ['top', 'right']:
    ax.spines[spine].set_visible(False)

plt.tight_layout()