set x-scale

app.py

@@ -48,18 +48,18 @@ Future Improvements:
 # This scatter plot explores the relationship between the year a building was constructed and its square footage.
 # Points are color-coded based on the building's operational status, with tooltips providing additional details.
 # Remove rows where 'Year Constructed' is missing (NaN)
-filtered_data = data.dropna(subset=['Year Constructed'])
-filtered_data = data[data['Year Constructed'] != 0]
+
 
 # Visualization 2: Relationship Between Year Constructed and Square Footage
 # This scatter plot explores the relationship between the year a building was constructed and its square footage.
 scatter_plot = (
-    alt.Chart(filtered_data)
+    alt.Chart(data)
     .mark_circle(size=60)
     .encode(
         x=alt.X(
             "Year Constructed:Q",
-            title="Year Constructed",),
+            title="Year Constructed",
+            scale=alt.Scale(domain=[1700, data['Year Constructed'].max()])),
         y=alt.Y("Square Footage:Q", title="Square Footage"),
         color=alt.Color("Bldg Status:N", title="Building Status"),
         tooltip=["Agency Name", "Location Name", "Year Constructed", "Square Footage", "Bldg Status"]