Update app.py

app.py

@@ -110,5 +110,5 @@ with tabs[1]:
         last_mile_col = [col for col in df_ctn.columns if "last mile" in col.lower()][0]
 
         # Group by Last Mile Service and aggregate by row count
-        grouped = df_ctn.groupby(last_mile_col).size().reset_index(name='Row Count')
+        grouped = df_ctn.groupby(last_mile_col).size().reset_index(name='CTN Count')
         st.dataframe(grouped, use_container_width=True)