Employee Tenure Distribution

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(114)

tenure = np.random.exponential(4, 1000)
tenure = tenure[tenure < 25]

kde = stats.gaussian_kde(tenure)
x = np.linspace(0, 25, 500)
y = kde(x)

fig, ax = plt.subplots(figsize=(12, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

ax.fill_between(x, y, alpha=0.4, color='#276CF5')
ax.plot(x, y, color='#276CF5', linewidth=3)

ax.axvspan(0, 2, alpha=0.1, color='#27D3F5', label='New (0-2 yrs)')
ax.axvspan(2, 5, alpha=0.1, color='#6CF527', label='Established (2-5 yrs)')
ax.axvspan(5, 10, alpha=0.1, color='#F5B027', label='Senior (5-10 yrs)')
ax.axvspan(10, 25, alpha=0.1, color='#4927F5', label='Veteran (10+ yrs)')

median = np.median(tenure)
ax.axvline(median, color='#374151', linestyle='--', linewidth=2)
ax.text(median+0.5, max(y)*0.85, 'Median: ' + str(round(median, 1)) + ' yrs', color='#374151', fontsize=10, fontweight='bold')

ax.set_xlabel('Years of Service', fontsize=12, color='#1f2937', fontweight='500')
ax.set_ylabel('Density', fontsize=12, color='#1f2937', fontweight='500')
ax.set_title('Employee Tenure Distribution', fontsize=16, color='#1f2937', fontweight='bold', pad=15)

ax.tick_params(colors='#374151', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#d1d5db')
ax.legend(loc='upper right', facecolor='#f9fafb', edgecolor='#d1d5db', labelcolor='#374151')
ax.grid(True, alpha=0.3, color='#e5e7eb')
ax.set_xlim(0, 25)

plt.tight_layout()
plt.show()