comment changes

app.py

@@ -113,8 +113,7 @@ This visualization shows the total square footage acquired by each agency over t
 - **Sorting by Total Square Footage**: This is done to highlight the largest area holders.
 - **Tooltips**: Displaying the agency name, decade, and square footage for each segment, improves readability.
 
-**Potential Improvements:**
-
+**Improvements:**
 An interactive filter could allow users to select specific decades or agencies for a closer look. Adding a toggle to switch between absolute and relative square footage contributions per decade could also make the viz better. Homework 6 will be about implementing these interactive elements in the viz.
 """)
 
@@ -128,7 +127,6 @@ df['Decade'] = (df['Year Acquired'] // 10 * 10).astype(int)
 df_sqft_decade = df.groupby(['Agency Name', 'Decade'])['Square Footage'].sum().reset_index()
 df_sqft_decade = df_sqft_decade.sort_values(by='Square Footage', ascending=False)
 
-
 #altair code for the viz
 chart2 = alt.Chart(df_sqft_decade).mark_bar().encode(
     x=alt.X('Square Footage:Q', title='Total Square Footage'),
@@ -139,6 +137,4 @@ chart2 = alt.Chart(df_sqft_decade).mark_bar().encode(
 st.altair_chart(chart2, use_container_width=True)
 # Footer
 st.write("---")
-st.write("Created by Mihir Sahasrabudhe for HW5-IS445")
-
-
+st.write("Created by Mihir Sahasrabudhe for HW5-IS445")