Update app.py

app.py

@@ -80,27 +80,27 @@ elif option == "Plots":
       colors=plt.cm.Paired.colors  # Optional: Change colors for better aesthetics
      )
 
-     ax2.axis('equal')  # Equal aspect ratio ensures the pie chart is circular.
+    ax2.axis('equal')  # Equal aspect ratio ensures the pie chart is circular.
 
-# Customize the text labels
+    # Customize the text labels
     for text in texts: 
        text.set_fontsize(10)  # Adjust font size for labels
     for autotext in autotexts: 
        autotext.set_color('white')  # Change the color of the percentage text
        autotext.set_fontsize(10)  # Adjust font size for percentage
 
-# Add a legend to the right of the pie chart
+    # Add a legend to the right of the pie chart
     ax2.legend(wedges, category_counts.index, title="Job Categories", loc="center left", bbox_to_anchor=(1, 0, 0.5, 1))
 
     st.pyplot(fig2)
 
     
 
-   # 4. Top Job Titles Bar Plot
+    # 4. Top Job Titles Bar Plot
     st.subheader("Top Job Titles")
     top_job_titles = jobs_df[job_title_column].value_counts().head(10)
 
-# Create the bar plot
+    # Create the bar plot
     fig4, ax4 = plt.subplots(figsize=(10, 6))  # Adjust figure size for better readability
     bars = ax4.bar(top_job_titles.index, top_job_titles.values, color='lightcoral')
 
@@ -109,12 +109,12 @@ elif option == "Plots":
     ax4.set_title("Top 10 Job Titles")
     plt.xticks(rotation=45, ha="right")
 
-# Add labels on the right side of the bars
+    # Add labels on the right side of the bars
     for bar in bars:
         yval = bar.get_height()
         ax4.text(bar.get_x() + bar.get_width() / 2, yval, int(yval),ha='center', va='bottom', color='black')  # Centered above the bar
 
-# Adjust layout to give space for labels
+    # Adjust layout to give space for labels
     plt.subplots_adjust(right=0.85)  # Adjust right margin for space
 
     st.pyplot(fig4)