Error Bar Chart
Marathon Finish Times
Major marathon finish time comparison across runner categories with time variability.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(42)
# Marathon data
categories = ['Elite Men', 'Elite Women', 'Amateur Men', 'Amateur Women', 'Masters 50+']
boston = np.array([128, 142, 215, 245, 238])
nyc = np.array([130, 145, 220, 250, 242])
london = np.array([127, 140, 212, 242, 235])
boston_err = np.array([3, 4, 25, 30, 28])
nyc_err = np.array([4, 5, 28, 32, 30])
london_err = np.array([3, 4, 24, 28, 26])
fig, ax = plt.subplots(figsize=(10, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
x = np.arange(len(categories))
width = 0.25
ax.bar(x - width, boston, width, yerr=boston_err, label='Boston',
color='#F5D327', edgecolor='#1f2937', capsize=3,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x, nyc, width, yerr=nyc_err, label='New York',
color='#276CF5', edgecolor='#1f2937', capsize=3,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x + width, london, width, yerr=london_err, label='London',
color='#F5276C', edgecolor='#1f2937', capsize=3,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.set_xlabel('Runner Category', fontsize=11, color='#374151', fontweight='500')
ax.set_ylabel('Finish Time (minutes)', fontsize=11, color='#374151', fontweight='500')
ax.set_title('Major Marathon Finish Times by Category', fontsize=14,
color='#1f2937', fontweight='bold', pad=15)
ax.set_xticks(x)
ax.set_xticklabels(categories, rotation=15, ha='right')
ax.legend(facecolor='#f8fafc', edgecolor='#d1d5db', fontsize=10)
ax.tick_params(colors='#6b7280', labelsize=9)
ax.set_ylim(100, 320)
ax.grid(True, axis='y', alpha=0.3, color='#d1d5db')
for spine in ax.spines.values():
spine.set_color('#d1d5db')
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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