Update src/streamlit_app.py

src/streamlit_app.py

@@ -51,12 +51,17 @@ design targeted strategies to improve public safety.</div>""",unsafe_allow_html=
 # 2. Data info & load
 st.markdown("<div class='sectionheader'> Dataset Information </div>", unsafe_allow_html=True)
 st.markdown(
-    """ <div class='description'>
-- **Source:** LAPD crime incidents dataset  
-- **Rows:** incidents (one per row)  
-- **Columns:** e.g. `crm_cd_desc` (crime type), `arrest` (boolean), `date`, `location_description`, etc.  
-- **Purpose:** Interactive exploration of top crime categories and arrest rates.</div>
-"""
+    """
+    <div class="description">
+      <ul>
+        <li><strong>Source:</strong> LAPD crime incidents dataset</li>
+        <li><strong>Rows:</strong> one incident per row</li>
+        <li><strong>Columns:</strong> e.g. <code>crm_cd_desc</code> (crime type), <code>arrest</code> (boolean), <code>year</code>, <code>location_description</code>, etc.</li>
+        <li><strong>Purpose:</strong> Interactive exploration of top crime categories and arrest rates.</li>
+      </ul>
+    </div>
+    """,
+    unsafe_allow_html=True
 )
 
 # 1. Resolve the path to the CSV next to this script
@@ -77,7 +82,6 @@ if df.empty:
     
 # 3. Data preview
 st.markdown("<div class='sectionheader'> Data Preview </div>", unsafe_allow_html=True)
-st.write(f"Total records: {df.shape[0]}  |  Total columns: {df.shape[1]}")
 st.markdown(
     f"<div class='description'>"
     f"Total records: <strong>{df.shape[0]:,}</strong> &nbsp;|&nbsp; "