Update app.py

app.py

@@ -67,35 +67,95 @@ def load_and_clean_data():
 # Load the data
 data = load_and_clean_data()
 
+# # Sidebar for controls
+# st.sidebar.header("Dashboard Controls")
+
+# # First, define the visualization type (viz_type) selection
+# viz_type = st.sidebar.selectbox("Select Visualization", [
+#     "Complaint Types", "Geographic Distribution", "Complaints by Disposition", "Submission Methods","Monthly Trends by Complaint Type",
+#     "Complaints Over Time", "Complaints by Housing Block and Type"
+# ])
+
+# # Remove the year selection when certain visualizations are selected
+# if viz_type not in ["Complaints Over Time", "Complaints by Housing Block and Type"]:
+#     year_options = ['All Time'] + sorted(data['Year Reported'].unique().tolist())
+#     selected_year = st.sidebar.selectbox("Select Year", options=year_options)
+# else:
+#     selected_year = 'All Time'  # Default to 'All Time' if visualization doesn't require year
+
+# # Date Range Selector for Complaints Over Time (only show when Complaints Over Time is selected)
+# if viz_type == "Complaints Over Time":
+#     start_date = st.sidebar.date_input("Start Date", pd.to_datetime("2020-01-01"))
+#     end_date = st.sidebar.date_input("End Date", pd.to_datetime("2024-12-31"))
+
+# # Allow the user to select the type of chart (Bar or Pie) for Submission Methods
+# if viz_type == "Submission Methods":
+#     plot_type = st.sidebar.selectbox("Select Plot Type", options=["Bar Chart", "Pie Chart"])
+
+# # Dropdown for Housing Block (only show when Complaints by Housing Block and Type is selected)
+# if viz_type == "Complaints by Housing Block and Type":
+#     block_options = ['All Blocks'] + sorted(data['Housing Block'].unique().tolist())
+#     selected_block = st.sidebar.selectbox("Select Housing Block", options=block_options)
+
+# # Ensure selected_block is only used if defined
+# if viz_type == "Complaints by Housing Block and Type" and 'selected_block' not in locals():
+#     selected_block = 'All Blocks'  # Default to 'All Blocks' if no selection made
+
+# # Filter data based on selected year
+# if selected_year != 'All Time':
+#     filtered_data = data[data['Year Reported'] == selected_year]
+# else:
+#     filtered_data = data  
+
+# # Further filter by Housing Block
+# if 'selected_block' in locals() and selected_block != 'All Blocks':
+#     filtered_data = filtered_data[filtered_data['Housing Block'] == selected_block]
+
+# # Filter data based on date range (only for Complaints Over Time visualization)
+# if viz_type == "Complaints Over Time":
+#     filtered_data_time = filtered_data[
+#         (filtered_data['Date Reported'] >= pd.to_datetime(start_date)) & 
+#         (filtered_data['Date Reported'] <= pd.to_datetime(end_date))
+#     ]
+# else:
+#     filtered_data_time = filtered_data
+
+# # Filter data based on selected housing block (only for Complaints by Housing Block visualization)
+# if viz_type == "Complaints by Housing Block and Type" and selected_block != 'All Blocks':
+#     filtered_data_time = filtered_data_time[filtered_data_time['Housing Block'] == selected_block]
+
+# # Header for selected year
+# st.header(f"Analysis for {'All Time' if selected_year == 'All Time' else selected_year}")
+
 # Sidebar for controls
 st.sidebar.header("Dashboard Controls")
 
 # First, define the visualization type (viz_type) selection
 viz_type = st.sidebar.selectbox("Select Visualization", [
-    "Complaint Types", "Geographic Distribution", "Complaints by Disposition", "Submission Methods","Monthly Trends by Complaint Type",
-    "Complaints Over Time", "Complaints by Housing Block and Type"
+    "Complaint Types", "Geographic Distribution", "Complaints by Disposition", "Submission Methods",
+    "Monthly Trends by Complaint Type", "Complaints Over Time", "Complaints by Housing Block and Type"
 ])
 
 # Remove the year selection when certain visualizations are selected
 if viz_type not in ["Complaints Over Time", "Complaints by Housing Block and Type"]:
     year_options = ['All Time'] + sorted(data['Year Reported'].unique().tolist())
-    selected_year = st.sidebar.selectbox("Select Year", options=year_options)
+    selected_year = st.sidebar.selectbox("Select Year", options=year_options, key="year_select")
 else:
     selected_year = 'All Time'  # Default to 'All Time' if visualization doesn't require year
 
 # Date Range Selector for Complaints Over Time (only show when Complaints Over Time is selected)
 if viz_type == "Complaints Over Time":
-    start_date = st.sidebar.date_input("Start Date", pd.to_datetime("2020-01-01"))
-    end_date = st.sidebar.date_input("End Date", pd.to_datetime("2024-12-31"))
-
-# Allow the user to select the type of chart (Bar or Pie) for Submission Methods
-if viz_type == "Submission Methods":
-    plot_type = st.sidebar.selectbox("Select Plot Type", options=["Bar Chart", "Pie Chart"])
+    start_date = st.sidebar.date_input("Start Date", pd.to_datetime("2020-01-01"), key="start_date")
+    end_date = st.sidebar.date_input("End Date", pd.to_datetime("2024-12-31"), key="end_date")
 
 # Dropdown for Housing Block (only show when Complaints by Housing Block and Type is selected)
 if viz_type == "Complaints by Housing Block and Type":
     block_options = ['All Blocks'] + sorted(data['Housing Block'].unique().tolist())
-    selected_block = st.sidebar.selectbox("Select Housing Block", options=block_options)
+    selected_block = st.sidebar.selectbox("Select Housing Block", options=block_options, key="block_select")
+
+# Allow the user to select the type of chart (Bar or Pie) for Submission Methods
+if viz_type == "Submission Methods":
+    plot_type = st.sidebar.selectbox("Select Plot Type", options=["Bar Chart", "Pie Chart"], key="plot_type_select")
 
 # Ensure selected_block is only used if defined
 if viz_type == "Complaints by Housing Block and Type" and 'selected_block' not in locals():
@@ -128,6 +188,7 @@ if viz_type == "Complaints by Housing Block and Type" and selected_block != 'All
 st.header(f"Analysis for {'All Time' if selected_year == 'All Time' else selected_year}")
 
 
+
 # Display metrics
 col1, col2 = st.columns(2)
 with col1: