Update src/streamlit_app.py

src/streamlit_app.py

@@ -302,7 +302,14 @@ for trace in fig.data:
     trace.update(mode="lines")  # remove markers
 
 st.plotly_chart(fig, use_container_width=True)
-# -------------------------------- Plot 8: Line Chart for Incident Counts by Region --------------------------------
+# Description.
+st.markdown("""<div class="description"> This multi‐line chart tracks how total crime incidents have evolved across LAPD regions from 2020 
+through 2025. Each colored line represents a different precinct, letting you compare their trajectories side by side. You’ll notice that most 
+areas rose to a peak around 2022 before tapering off, while a handful of regions bucked the trend—either holding steady or dipping earlier. The 
+clear visual of converging and diverging lines makes it easy to spot which precincts saw the sharpest upticks, which managed to keep incidents 
+relatively flat, and how the overall pattern shifted over the five‐year span.</div>""",unsafe_allow_html=True)
+
+# -------------------------------- Plot 8: Stacked Bar Charts for Regions --------------------------------
 st.markdown("<div class='sectionheader'>Crime Composition by Region: Top 5 Offenses </div>", unsafe_allow_html=True)
 # 1. Compute counts per region and crime
 counts = (
@@ -343,6 +350,12 @@ fig.update_layout(
 
 # 5. Render in Streamlit
 st.plotly_chart(fig, use_container_width=True)
+# Description.
+st.markdown("""<div class="description"> This stacked‐bar chart breaks down each region’s crime profile by its five most common offenses. The bars’ 
+layers show how certain neighborhoods are dominated by property crimes (like vehicle theft and petty theft), whereas others carry a heavier share of 
+violent or specialty offenses. By grouping all five slices together, the visualization highlights both the volume and mix of crimes in each area—revealing, 
+for example, precincts where assault plays a disproportionately large role versus those driven mainly by theft. This makes it straightforward to compare how 
+offense patterns differ from one region to the next.</div>""",unsafe_allow_html=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)