Update app.py

app.py

@@ -177,14 +177,14 @@ if st.session_state.df is not None:
                     fig = px.box(st.session_state.df, x="job_title", y="salary_in_usd",
                                  title="Salary Distribution by Job Title")
 
-                    # Insert visualization after "4. Geographic Salary Variations" for better context
-                    insert_section = "4. Geographic Salary Variations"
+                    # Insert visualization after "4. Influence of Company Size" for better flow
+                    insert_section = "4. Influence of Company Size"
                     if insert_section in result:
                         parts = result.split(insert_section)
-                        st.markdown(parts[0])  # Show content before section
-                        st.markdown(f"## {insert_section}{parts[1].split('5.')[0]}")  # Show the section content
-
+                        st.markdown(parts[0])  # Show content before the section
+                        
                         # Insert the visualization here
+                        st.markdown(f"## {insert_section}{parts[1].split('5.')[0]}")
                         st.plotly_chart(fig, use_container_width=True)
 
                         # Continue with the rest of the report
@@ -196,7 +196,7 @@ if st.session_state.df is not None:
                 else:
                     st.markdown(result)
 
-    # Tab 2: Enhanced Full Data Visualization
+    # Tab 2: Full Data Visualization
     with tab2:
         st.subheader("📊 Comprehensive Data Visualizations")
 
@@ -223,6 +223,12 @@ if st.session_state.df is not None:
                           title="Salary Distribution by Company Size")
             st.plotly_chart(fig4)
 
+        # Salary by Region (if available)
+        if "region" in st.session_state.df.columns:
+            fig5 = px.box(st.session_state.df, x="region", y="salary_in_usd",
+                          title="Salary Distribution by Region")
+            st.plotly_chart(fig5)
+
     temp_dir.cleanup()
 else:
     st.info("Please load a dataset to proceed.")