showing schools with no KS2 results

backend/app.py

@@ -330,6 +330,11 @@ async def get_schools(
     if page_size is None:
         page_size = settings.default_page_size
 
+    # Schools with no performance data (special schools, PRUs, newly opened, etc.)
+    # have NULL year from the LEFT JOIN — keep them but skip the groupby/trend logic.
+    df_no_perf = df[df["year"].isna()].drop_duplicates(subset=["urn"])
+    df = df[df["year"].notna()]
+
     # Get unique schools (latest year data for each)
     latest_year = df.groupby("urn")["year"].max().reset_index()
     df_latest = df.merge(latest_year, on=["urn", "year"])
@@ -351,6 +356,9 @@ async def get_schools(
             )
         df_latest = df_latest.merge(prev_rwm, on="urn", how="left")
 
+    # Merge back schools with no performance data
+    df_latest = pd.concat([df_latest, df_no_perf], ignore_index=True)
+
     # Phase filter — uses PHASE_GROUPS so all-through/middle schools appear
     # in the correct phase(s) rather than being invisible to both filters.
     if phase: