Superstore Analysis by Soham Mukherjee

gec-section-a/soham_cd.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+from matplotlib.ticker import FuncFormatter
+
+# 1. Load CSV with Pandas
+file_path = r"C:/Users/SOHAM/Desktop/visualization/dataset/sample-superstore.csv"
+df = pd.read_csv(file_path)
+
+# 2. Group by Product Category
+category_stats = (
+    df.groupby("Product Category")[["Profit", "Sales", "Quantity ordered new"]]
+    .sum()
+    .sort_values("Profit", ascending=False)
+)
+
+# 3. Plot
+plt.style.use("seaborn-v0_8-whitegrid")
+fig, axes = plt.subplots(1, 3, figsize=(18, 5), facecolor="#f9fafb")
+
+colors = ["#4f8bc9", "#a3c585", "#f7b267"]
+
+# --- Profit Chart ---
+bars1 = axes[0].bar(category_stats.index, category_stats["Profit"], color=colors)
+axes[0].set_title("Profit by Category", fontsize=14, fontweight="bold")
+axes[0].yaxis.set_major_formatter(FuncFormatter(lambda x, _: f"${x:,.0f}"))
+for bar in bars1:
+    height = bar.get_height()
+    axes[0].annotate(f"${height:,.0f}", 
+                     xy=(bar.get_x() + bar.get_width() / 2, height),
+                     xytext=(0, 6), textcoords="offset points", 
+                     ha='center', va='bottom', fontsize=10, fontweight='bold', color="#333")
+
+# --- Sales Chart ---
+bars2 = axes[1].bar(category_stats.index, category_stats["Sales"], color=colors)
+axes[1].set_title("Sales by Category", fontsize=14, fontweight="bold")
+axes[1].yaxis.set_major_formatter(FuncFormatter(lambda x, _: f"${x:,.0f}"))
+for bar in bars2:
+    height = bar.get_height()
+    axes[1].annotate(f"${height:,.0f}", 
+                     xy=(bar.get_x() + bar.get_width() / 2, height),
+                     xytext=(0, 6), textcoords="offset points", 
+                     ha='center', va='bottom', fontsize=10, fontweight='bold', color="#333")
+
+# --- Quantity Chart ---
+bars3 = axes[2].bar(category_stats.index, category_stats["Quantity ordered new"], color=colors)
+axes[2].set_title("Quantity by Category", fontsize=14, fontweight="bold")
+for bar in bars3:
+    height = bar.get_height()
+    axes[2].annotate(f"{height:,.0f}", 
+                     xy=(bar.get_x() + bar.get_width() / 2, height),
+                     xytext=(0, 6), textcoords="offset points", 
+                     ha='center', va='bottom', fontsize=10, fontweight='bold', color="#333")
+
+# Formatting
+for ax in axes:
+    ax.set_xlabel("")
+    ax.set_ylabel("")
+    ax.set_xticklabels(category_stats.index, rotation=15, fontsize=11)
+    ax.spines['top'].set_visible(False)
+    ax.spines['right'].set_visible(False)
+
+plt.subplots_adjust(wspace=0.25)
+plt.tight_layout()
+plt.savefig("category_analysis_clean.png", dpi=300, facecolor="#f9fafb")
+plt.show()