Employee Productivity Score KDE

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

np.random.seed(888)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
GRID_COLOR = '#e5e7eb'

# Productivity scores (0-100)
engineering = np.random.normal(78, 10, 300)
sales = np.random.normal(72, 14, 300)
marketing = np.random.normal(75, 12, 300)
support = np.random.normal(70, 11, 300)

fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)

x_range = np.linspace(30, 100, 500)

for data, color, label in [(engineering, '#4927F5', 'Engineering'), 
                            (sales, '#6CF527', 'Sales'),
                            (marketing, '#F5B027', 'Marketing'),
                            (support, '#F5276C', 'Support')]:
    kde = gaussian_kde(data)
    density = kde(x_range)
    ax.plot(x_range, density, color=color, linewidth=2.5, label=label)
    ax.fill_between(x_range, density, alpha=0.2, color=color)

ax.set_xlabel('Productivity Score', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Density', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Employee Productivity by Department', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors=TEXT_COLOR, labelsize=10)
for spine in ax.spines.values():
    spine.set_color(GRID_COLOR)
ax.yaxis.grid(True, color=GRID_COLOR, linewidth=0.5, alpha=0.7)
ax.legend(facecolor=BG_COLOR, edgecolor=GRID_COLOR, labelcolor=TEXT_COLOR, fontsize=10)

plt.tight_layout()
plt.show()