Update src/streamlit_app.py

src/streamlit_app.py

@@ -202,28 +202,6 @@ This heatmap shows the frequency of the top 10 crimes from 2020 to 2025. The x a
 """)
 
 
-# -------------------------------- ???????????????? --------------------------------
-# Count the crime type and list out the top 10 crime type that have the most cases.
-top_crimes = df['crm_cd_desc'].value_counts().nlargest(10).index
-df = df[df['year'] != 2025]
-df_top = df[df['crm_cd_desc'].isin(top_crimes)]
-
-# Group by crime type and year.
-stacked_year_df = df_top.groupby(['year', 'crm_cd_desc']).size().reset_index(name='count')
-
-# Create the stacked bar chart.
-alt.Chart(stacked_year_df).mark_bar().encode(
-    x=alt.X('year:O', title='Year'),
-    y=alt.Y('count:Q', stack='zero', title='Number of Incidents'),
-    color=alt.Color('crm_cd_desc:N', title='Crime Type'),
-    tooltip=['year', 'crm_cd_desc', 'count']
-).properties(
-    width=600,
-    height=400,
-    title='Stacked Crime Composition by Year (Top 10 Crime Types)'
-)
-
-
 # -------------------------------- Plot 3: Line Chart --------------------------------
 df = df[df['year'] != 2025] # 2025 is not end, so the trend can't be see