Age Distribution

import matplotlib.pyplot as plt
import numpy as np

COLORS = {'bars': '#F59E0B', 'median': '#EF4444', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

np.random.seed(42)
ages = np.clip(np.random.gamma(7, 5, 1000), 0, 100).astype(int)

fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])

ax.hist(ages, bins=20, color=COLORS['bars'], edgecolor='white', linewidth=0.5, alpha=0.8)

median_age = np.median(ages)
ax.axvline(median_age, color=COLORS['median'], linewidth=2, linestyle='--')
ax.scatter([median_age], [ax.get_ylim()[1] * 0.95], marker='v', s=60, c=COLORS['median'], zorder=5)
ax.text(median_age + 2, ax.get_ylim()[1] * 0.92, f'Median: {median_age:.0f}', fontsize=10, color=COLORS['median'], fontweight='bold')

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color(COLORS['grid'])
ax.spines['bottom'].set_color(COLORS['grid'])
ax.yaxis.grid(True, color=COLORS['grid'], linewidth=1, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_xlabel('Age', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Count', fontsize=10, color=COLORS['text'], labelpad=10)

plt.tight_layout()
plt.show()