Update src/streamlit_app.py

src/streamlit_app.py

@@ -270,34 +270,40 @@ fig.update_layout(
 # 4. Render
 st.plotly_chart(fig, use_container_width=True)
 
-# Prepare source/target/value lists
-tm = (
+# -------------------------------- Plot 7: Line Chart for Incident Counts by Region --------------------------------
+# 1. Aggregate total incidents by year
+yearly_region = (
     df
-      .groupby(["RegionName","crm_cd_desc"])
+      .groupby(["year", "RegionName"])
       .size()
       .reset_index(name="Count")
 )
-grouped = tm.copy()
-regions = list(grouped["RegionName"].unique())
-crimes  = list(grouped["crm_cd_desc"].unique())
-
-labels = regions + crimes
-source = grouped["RegionName"].apply(lambda x: labels.index(x))
-target = grouped["crm_cd_desc"].apply(lambda x: labels.index(x))
-value  = grouped["Count"]
-
-fig = go.Figure(data=[go.Sankey(
-    node=dict(label=labels, pad=15, thickness=20),
-    link=dict(source=source, target=target, value=value)
-)])
-fig.update_layout(
-    title_text="Sankey: Region → Crime Type Flows",
-    font_size=10,
-    margin=dict(t=50, l=25, r=25, b=25)
+
+# 2. Let the user pick one region to highlight
+regions = sorted(yearly_region["RegionName"].unique())
+sel_region = st.selectbox("Select Region", ["All"] + regions, index=0)
+
+if sel_region != "All":
+    yearly_region = yearly_region[yearly_region["RegionName"] == sel_region]
+
+# 3. Plot a smooth line per region (or just the one selected)
+fig = px.line(
+    yearly_region,
+    x="year",
+    y="Count",
+    color="RegionName",
+    title=(
+        f"Incident Trends Over Time" +
+        (f" – {sel_region}" if sel_region!="All" else "")
+    ),
+    labels={"year":"Year", "Count":"Incident Count"}
 )
-st.plotly_chart(fig, use_container_width=True)
 
+# 4. Add LOWESS smoothing (optional)
+for trace in fig.data:
+    trace.update(mode="lines")  # remove markers
 
+st.plotly_chart(fig, use_container_width=True)
 
 # -------------------------------- Plot 7: Bubble Map of Incident Counts by Region NO MAP --------------------------------
 # st.markdown("<div class='sectionheader'>Crime Hotspots by Region NO MAP</div>", unsafe_allow_html=True)