Update app.py

app.py

@@ -47,24 +47,50 @@ st.dataframe(df, use_container_width=True)
 # =====================
 # SUMMARY STATISTICS
 # =====================
-st.subheader("📊 Statistical Summary for All Metrics")
+st.subheader("📊 Statistical Summary")
+
+st.write("#### Distribution of ontologies per domain.")
+domain_stats = df["Domain"].value_counts().reset_index()
+domain_stats.columns = ["Domain", "count"]
+domain_stats["percentage"] = (domain_stats["count"] / domain_stats["count"].sum()) * 100
+fig, ax = plt.subplots(figsize=(12, 6))
+sns.set_style("whitegrid")
+ax = sns.barplot(
+    data=domain_stats,
+    x="Domain",
+    y="count",
+    palette="viridis"
+)
+for i, row in domain_stats.iterrows():
+    ax.text(
+        i, 
+        row["count"] + 0.02 * domain_stats["count"].max(),
+        f"{row['percentage']:.1f}%",
+        ha="center",
+        fontsize=10,
+        fontweight="bold"
+    )
+plt.title("Number and Percentage of Ontologies per Domain", fontsize=16)
+plt.xlabel("Domain", fontsize=14)
+plt.ylabel("Number of Ontologies", fontsize=14)
+plt.xticks(rotation=45, ha="right")
+plt.tight_layout()
+st.pyplot(fig)
 
-metric_cols = [
-    "total_nodes", "num_classes", "num_properties", "num_individuals",
-    "avg_depth", "avg_breadth", "Processing Time (s)"
-]
 
+st.write("#### Statistical summary of key metrics.")
+metric_cols = ["total_nodes", "num_classes", "num_properties", "num_individuals", 
+               "avg_depth", "avg_breadth", "Processing Time (s)"]
 df_metrics = df[metric_cols]
-
 summary = df_metrics.describe().T
 summary["missing"] = df_metrics.isnull().sum()
 summary = summary.round(2)
-
 slight_summary = summary[['mean', 'std', '25%', '50%', '75%', 'max']]
-
 st.dataframe(slight_summary, use_container_width=True)
 
 
+st.subheader("📊 Statistical Summary for All Metrics")
+
 # =====================
 # COMPLEXITY SCORE
 # =====================
@@ -189,4 +215,6 @@ for j in range(i + 1, len(axes)):
     axes[j].axis("off")
 
 plt.tight_layout(rect=[0, 0, 1, 1])
-st.pyplot(fig)
+st.pyplot(fig)
+
+st.write("\n\n")