Update app.py

app.py

@@ -57,24 +57,22 @@ elif option == "Plots":
     ax1.set_title("Distribution of Jobs Across Categories")
     plt.xticks(rotation=45, ha="right")
 
-    # Add labels on the right side of the bars
-    for bar in bars:
-        yval = bar.get_height()
-        ax1.text(bar.get_x() + bar.get_width() / 2, yval, int(yval), 
-                 ha='center', va='bottom', color='black')  # Centered above the bar
+    # Create a legend with job categories and their counts
+    legend_labels = [f"{category}: {int(count)}" for category, count in zip(category_counts.index, category_counts.values)]
+    ax1.legend(bars, legend_labels, title="Job Categories", loc="upper left", bbox_to_anchor=(1, 1))  # Position the legend
 
-    # Adjust layout to give space for labels
-    plt.subplots_adjust(right=0.85)  # Adjust right margin for space
+    # Adjust layout to give space for the legend
+    plt.subplots_adjust(right=0.75)  # Adjust right margin for legend space
 
     st.pyplot(fig1)
 
 
+
     # 2. Pie Chart for Category Distribution
     st.subheader("Job Category Proportions")
     fig2, ax2 = plt.subplots(figsize=(10, 10))  # Adjust the size as needed
     wedges, texts, autotexts = ax2.pie(
-      category_counts, 
-      labels=category_counts.index, 
+      category_counts,  
       autopct='%1.1f%%', 
       startangle=140,
       colors=plt.cm.Paired.colors  # Optional: Change colors for better aesthetics