fig, axes = plt.subplots(1, 3, figsize=(12, 5))

cols   = ["revenue_usd", "units_sold", "return_rate_pct"]
labels = ["Revenue (USD)", "Units Sold", "Return Rate (%)"]
colors = ["#4a90d9", "#2ecc71", "#e67e22"]

for ax, col, label, color in zip(axes, cols, labels, colors):
    bp = ax.boxplot(df[col], patch_artist=True, widths=0.5,
                    medianprops=dict(color="black", linewidth=2))
    bp["boxes"][0].set_facecolor(color)
    bp["boxes"][0].set_alpha(0.7)
    ax.set_title(label, fontsize=12, fontweight="bold")
    ax.set_xticks([])

plt.suptitle("Spread of Key Metrics Across Branches",
             fontsize=14, fontweight="bold", y=1.02)
plt.tight_layout()
plt.savefig("boxplots_spread.png", dpi=150)
plt.show()