Update src/streamlit_app.py

src/streamlit_app.py

@@ -13,14 +13,11 @@ st.markdown("---")
 st.markdown(
     """
     ## What Is This About?
-
     Every day, hundreds of crime incidents are reported across Chicago's 77 community areas.
     But where do they happen? At what time? And does poverty play a role?
-
     This interactive article walks you through 2026 Chicago crime data drawn directly from
     the [Chicago Data Portal](https://data.cityofchicago.org/) to help you explore the
     geography, timing, and social context of crime in one of America's largest cities.
-
     The dataset records every reported crime incident in 2026, including the exact location,
     date and time, crime type, and the police district that handled it. Each row is one
     reported incident. We also include community-level socioeconomic data to examine the
@@ -146,7 +143,6 @@ st.markdown(
     **Drag a box on the map** to select a geographic area, or **click a district boundary**
     to highlight it — both actions filter the bar chart on the right and the timeline below.
     You can also **click a crime category** in the bar chart to drill into its temporal trend.
-
     The bottom line chart breaks daily incident counts into four time-of-day periods
     (plus a grey total line). The bar chart and line chart use the **full dataset** with
     no sampling; only the map points are sampled to keep the browser responsive.
@@ -282,7 +278,6 @@ st.markdown(
     the heatmap by crime category, or leave it on *All* to see the overall pattern.
     Each cell shows the total number of incidents at that day-of-week x hour-of-day
     combination across the full dataset; darker red means more incidents.
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     Across nearly every category, Friday and Saturday evenings (6 pm to midnight)
     stand out as the most active windows, while the early-morning hours (2 to 5 am)
     are consistently quietest.
@@ -337,12 +332,10 @@ st.markdown(
     with a binned crime density heatmap overlaid. The heatmap uses the full dataset
     with no sampling: each cell's color reflects how many incidents fall in that
     geographic bin, giving a clear picture of crime hotspots.
-
     The scatter plot on the right makes the poverty-crime relationship explicit:
     each dot is one community area, and the dashed line is a statistical trend.
     There is a moderate positive correlation, though it is far from deterministic -
     policy, policing patterns, and reporting rates all play a role.
-
     **Socioeconomic data source:** [Census Data - Chicago Data Portal](https://data.cityofchicago.org/Health-Human-Services/Census-Data-Selected-Socioeconomic-Indicators-in-C/kn9c-c2s2)
     """
 )
@@ -454,7 +447,6 @@ st.markdown(
     | Socioeconomic Indicators by Community | City of Chicago Data Portal | [kn9c-c2s2](https://data.cityofchicago.org/Health-Human-Services/Census-Data-Selected-Socioeconomic-Indicators-in-C/kn9c-c2s2) |
     | Police District Boundaries (GeoJSON) | City of Chicago Data Portal | [24zt-jpfn](https://data.cityofchicago.org/Public-Safety/Boundaries-Police-Districts-current-/24zt-jpfn) |
     | Community Area Boundaries (GeoJSON) | City of Chicago Data Portal | [igwz-8jzy](https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Community-Areas-current-/cauq-8yn6) |
-
     All data accessed April 2026. Visualizations built with [Altair](https://altair-viz.github.io/) and [Streamlit](https://streamlit.io/).
     """
 )