Update app.py

app.py

@@ -59,13 +59,13 @@ bar_chart = (
 )
 
 # Combined Chart
-chart = alt.vconcat(scatter, bar_chart,title="Building Inventory Insights")
+chart = alt.vconcat(scatter, bar_chart)
 
 # Tabs for Themes
 tab1, tab2 = st.tabs(["Streamlit Theme", "Altair Native Theme"])
 
 with tab1:
-    st.altair_chart(scatter, theme="streamlit", use_container_width=True)
+    st.altair_chart(chart, theme="streamlit", use_container_width=True)
     st.caption("""
     This scatter plot visualizes the distribution of building size based on their acquisition year.
     Design choices:
@@ -74,7 +74,6 @@ with tab1:
     This scatter plot visualizes the relationship between year-acquired and Square Footage of buildings, 
     with Total Floors encoded as the size of the points.
     """)
-    st.altair_chart(bar_chart, theme="streamlit", use_container_width=True)
     st.caption("""
     This bar chart visualizes the distribution of Agency Name based on their acquisition year.
     Design choices:
@@ -84,7 +83,7 @@ with tab1:
     The Agency Name is taken as the ordinal value.
     """)
 with tab2:
-    st.altair_chart(scatter, theme=None, use_container_width=True)
+    st.altair_chart(chart, theme=None, use_container_width=True)
     st.caption("""
     This scatter plot visualizes the distribution of building size based on their acquisition year.
     Design choices:
@@ -93,7 +92,6 @@ with tab2:
     This scatter plot visualizes the relationship between year-acquired and Square Footage of buildings, 
     with Total Floors encoded as the size of the points.
     """)
-    st.altair_chart(bar_chart, theme=None, use_container_width=True)
     st.caption("""
     This bar chart visualizes the distribution of Agency Name based on their acquisition year.
     Design choices: