Polar Chart
Customer Satisfaction Wheel
Service quality metrics in radial bar format - light theme
Output
Python
import matplotlib.pyplot as plt
import numpy as np
categories = ['Product', 'Delivery', 'Support', 'Price', 'Website', 'Returns']
scores = [4.5, 4.2, 4.8, 3.9, 4.3, 4.0]
angles = np.linspace(0, 2 * np.pi, len(categories), endpoint=False)
width = 2 * np.pi / len(categories) * 0.75
# Normalize to percentage
scores_pct = [s/5 * 100 for s in scores]
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
colors = ['#F5276C', '#F54927', '#F5B027', '#6CF527', '#27D3F5', '#4927F5']
bars = ax.bar(angles, scores_pct, width=width, bottom=10, alpha=0.75)
for bar, color in zip(bars, colors):
bar.set_facecolor(color)
bar.set_edgecolor('white')
bar.set_linewidth(2)
ax.set_xticks(angles)
ax.set_xticklabels(categories, fontsize=11, color='#1f2937', fontweight='500')
ax.set_ylim(0, 110)
ax.set_yticks([25, 50, 75, 100])
ax.set_yticklabels(['', '', '', ''], fontsize=9)
ax.spines['polar'].set_color('#e5e7eb')
ax.grid(color='#e5e7eb', linewidth=0.8)
ax.set_title('Customer Satisfaction Wheel', fontsize=16, color='#1f2937', fontweight='bold', pad=20, y=1.08)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Part-to-Whole
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