Update app.py

app.py

@@ -2,6 +2,16 @@ import streamlit as st
 import altair as alt
 import pandas as pd
 
+st.title("Building Inventory Insights")
+st.caption("""
+    This scatter plot visualizes the distribution of building size based on their acquisition year.
+    Design choices:
+    - X-axis displays the years acquired sorted in descending order.
+    - Y-axis displays the square footage.
+    This scatter plot visualizes the relationship between year-acquired and Square Footage of buildings, 
+    with Total Floors encoded as the size of the points.
+    """)
+
 # Load Dataset
 @st.cache_data
 def load_data():
@@ -63,14 +73,7 @@ chart = alt.vconcat(scatter, bar_chart, title="Building Inventory Insights")
 tab1, tab2 = st.tabs(["Streamlit Theme", "Altair Native Theme"])
 
 with tab1:
-    st.caption("""
-    This scatter plot visualizes the distribution of building size based on their acquisition year.
-    Design choices:
-    - X-axis displays the years acquired sorted in descending order.
-    - Y-axis displays the square footage.
-    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(chart, theme="streamlit", use_container_width=True)
 
 with tab2: