Startup Funding by Sector

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

sectors = ['AI/ML', 'FinTech', 'HealthTech', 'CleanTech', 'EdTech', 'SaaS']
seed = np.array([2.5, 2.2, 1.8, 2.0, 1.5, 2.0])
series_a = np.array([15, 12, 10, 11, 8, 12])
series_b = np.array([45, 38, 32, 35, 25, 40])
seed_err = np.array([0.8, 0.6, 0.5, 0.6, 0.4, 0.5])
a_err = np.array([4, 3, 2.5, 3, 2, 3])
b_err = np.array([12, 10, 8, 9, 6, 10])

fig, ax = plt.subplots(figsize=(11, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

x = np.arange(len(sectors))
width = 0.25

ax.bar(x - width, seed, width, yerr=seed_err, label='Seed',
       color='#6CF527', edgecolor='white', linewidth=1.5, capsize=3,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x, series_a, width, yerr=a_err, label='Series A',
       color='#27D3F5', edgecolor='white', linewidth=1.5, capsize=3,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x + width, series_b, width, yerr=b_err, label='Series B',
       color='#5314E6', edgecolor='white', linewidth=1.5, capsize=3,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})

ax.set_xlabel('Sector', fontsize=12, color='#374151', fontweight='600')
ax.set_ylabel('Average Funding ($M)', fontsize=12, color='#374151', fontweight='600')
ax.set_title('Startup Funding by Sector and Stage', fontsize=15, 
             color='#1f2937', fontweight='bold', pad=20)

ax.set_xticks(x)
ax.set_xticklabels(sectors, fontsize=11)
ax.legend(facecolor='#ffffff', edgecolor='#e5e7eb', fontsize=10)
ax.tick_params(colors='#6b7280', labelsize=10)
ax.set_ylim(0, 65)
ax.grid(True, axis='y', alpha=0.4, color='#e5e7eb')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#d1d5db')
ax.spines['bottom'].set_color('#d1d5db')

plt.tight_layout()
plt.show()