Response Distribution

import matplotlib.pyplot as plt
import numpy as np

COLORS = {'bars': '#374151', 'mode': '#DC2626', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

np.random.seed(42)
responses = np.random.choice([1, 2, 3, 4, 5], size=400, p=[0.05, 0.10, 0.20, 0.35, 0.30])

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

counts, bins, patches = ax.hist(responses, bins=[0.5, 1.5, 2.5, 3.5, 4.5, 5.5], color=COLORS['bars'], 
                                 edgecolor='white', linewidth=0.5, alpha=0.85, rwidth=0.8)

mode_idx = np.argmax(counts)
patches[mode_idx].set_facecolor(COLORS['mode'])

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_xticks([1, 2, 3, 4, 5])
ax.set_xticklabels(['Strongly\nDisagree', 'Disagree', 'Neutral', 'Agree', 'Strongly\nAgree'], fontsize=8)
ax.set_ylabel('Responses', fontsize=10, color=COLORS['text'], labelpad=10)

plt.tight_layout()
plt.show()