Salary Distribution

import matplotlib.pyplot as plt
import numpy as np

COLORS = {'box': '#8B5CF6', 'median': '#FFFFFF', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

np.random.seed(42)
engineering = np.random.lognormal(11.3, 0.3, 100)
marketing = np.random.lognormal(11.0, 0.25, 80)
sales = np.random.lognormal(11.1, 0.4, 90)
hr = np.random.lognormal(10.8, 0.2, 50)
data = [engineering/1000, marketing/1000, sales/1000, hr/1000]

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

bp = ax.boxplot(data, widths=0.5, patch_artist=True, showfliers=True,
                medianprops=dict(color=COLORS['median'], linewidth=2),
                boxprops=dict(facecolor=COLORS['box'], edgecolor='white'),
                whiskerprops=dict(color=COLORS['box']), capprops=dict(color=COLORS['box']),
                flierprops=dict(marker='o', markerfacecolor=COLORS['box'], markersize=5, alpha=0.5))

ax.set_xticklabels(['Engineering', 'Marketing', 'Sales', 'HR'])
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_ylabel('Salary ($K)', fontsize=10, color=COLORS['text'], labelpad=10)

plt.tight_layout()
plt.show()