fix: Complete seed script with all missing data + add statsmodels

- Seed script now seeds: amenities, population, median_age, census
  housing columns, housing mart (rent/affordability), overview mart
  (safety_score, population)
- Add statsmodels dependency for scatter plot trendlines
- Add dbt/.user.yml to gitignore

All 15 notebooks now pass with valid data.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

.gitignore

@@ -198,3 +198,4 @@ cython_debug/
 # PyPI configuration file
 .pypirc
 
+dbt/.user.yml

pyproject.toml

@@ -35,6 +35,7 @@ dependencies = [
     "geopandas>=1.1",
     "shapely>=2.0",
     "pyproj>=3.6",
+    "statsmodels>=0.14",
 
     # Visualization
     "dash>=3.3",

scripts/data/seed_amenity_data.py

@@ -5,6 +5,9 @@ This script:
 - Populates fact_amenities with sample data
 - Updates dim_neighbourhood with population from fact_census
 - Seeds median_age in fact_census where missing
+- Seeds census housing columns (tenure, income, dwelling value)
+- Seeds housing mart data (rent, affordability)
+- Seeds overview mart data (safety_score, population)
 - Runs dbt to rebuild the marts
 
 Usage:
@@ -128,6 +131,178 @@ def seed_median_age() -> int:
     return len(null_ids)
 
 
+def seed_census_housing() -> int:
+    """Seed housing columns in fact_census where missing."""
+    engine = create_engine(DATABASE_URL)
+
+    with engine.begin() as conn:
+        result = conn.execute(
+            text("SELECT id FROM public.fact_census WHERE pct_owner_occupied IS NULL")
+        )
+        null_ids = [row[0] for row in result]
+
+        if not null_ids:
+            print("No NULL census housing values found")
+            return 0
+
+        for census_id in null_ids:
+            conn.execute(
+                text(
+                    """
+                UPDATE public.fact_census SET
+                    pct_owner_occupied = :owner,
+                    pct_renter_occupied = :renter,
+                    average_dwelling_value = :dwelling,
+                    median_household_income = :income
+                WHERE id = :id
+            """
+                ),
+                {
+                    "id": census_id,
+                    "owner": round(random.uniform(30, 80), 1),
+                    "renter": round(random.uniform(20, 70), 1),
+                    "dwelling": random.randint(400000, 1500000),
+                    "income": random.randint(50000, 180000),
+                },
+            )
+
+    print(f"Seeded census housing data for {len(null_ids)} records")
+    return len(null_ids)
+
+
+def seed_housing_mart() -> int:
+    """Seed housing mart with rental and affordability data."""
+    engine = create_engine(DATABASE_URL)
+
+    with engine.begin() as conn:
+        result = conn.execute(
+            text(
+                """
+            SELECT neighbourhood_id, year
+            FROM public_marts.mart_neighbourhood_housing
+            WHERE avg_rent_2bed IS NULL
+        """
+            )
+        )
+        rows = [dict(row._mapping) for row in result]
+
+        if not rows:
+            print("No NULL housing mart values found")
+            return 0
+
+        for row in rows:
+            avg_rent = random.randint(1800, 3200)
+            income = random.randint(55000, 180000)
+            rent_to_income = round((avg_rent * 12 / income) * 100, 2)
+            affordability = round(rent_to_income / 30 * 100, 1)
+
+            conn.execute(
+                text(
+                    """
+                UPDATE public_marts.mart_neighbourhood_housing SET
+                    avg_rent_bachelor = :bachelor,
+                    avg_rent_1bed = :onebed,
+                    avg_rent_2bed = :twobed,
+                    avg_rent_3bed = :threebed,
+                    vacancy_rate = :vacancy,
+                    rent_to_income_pct = :rent_income,
+                    affordability_index = :afford_idx,
+                    is_affordable = :is_afford,
+                    median_household_income = :income,
+                    pct_owner_occupied = :owner,
+                    pct_renter_occupied = :renter
+                WHERE neighbourhood_id = :nid AND year = :year
+            """
+                ),
+                {
+                    "nid": row["neighbourhood_id"],
+                    "year": row["year"],
+                    "bachelor": avg_rent - 500,
+                    "onebed": avg_rent - 300,
+                    "twobed": avg_rent,
+                    "threebed": avg_rent + 400,
+                    "vacancy": round(random.uniform(0.5, 4.5), 1),
+                    "rent_income": rent_to_income,
+                    "afford_idx": affordability,
+                    "is_afford": rent_to_income <= 30,
+                    "income": income,
+                    "owner": round(random.uniform(30, 75), 1),
+                    "renter": round(random.uniform(25, 70), 1),
+                },
+            )
+
+    print(f"Seeded housing mart data for {len(rows)} records")
+    return len(rows)
+
+
+def seed_overview_mart() -> int:
+    """Seed overview mart with safety_score and population."""
+    engine = create_engine(DATABASE_URL)
+    total = 0
+
+    with engine.begin() as conn:
+        # Seed safety_score
+        result = conn.execute(
+            text(
+                """
+            SELECT neighbourhood_id, year
+            FROM public_marts.mart_neighbourhood_overview
+            WHERE safety_score IS NULL
+        """
+            )
+        )
+        rows = [dict(row._mapping) for row in result]
+
+        for row in rows:
+            conn.execute(
+                text(
+                    """
+                UPDATE public_marts.mart_neighbourhood_overview
+                SET safety_score = :score
+                WHERE neighbourhood_id = :nid AND year = :year
+            """
+                ),
+                {
+                    "nid": row["neighbourhood_id"],
+                    "year": row["year"],
+                    "score": round(random.uniform(40, 95), 1),
+                },
+            )
+            total += 1
+
+        # Seed population
+        result = conn.execute(
+            text(
+                """
+            SELECT neighbourhood_id, year
+            FROM public_marts.mart_neighbourhood_overview
+            WHERE population IS NULL
+        """
+            )
+        )
+        rows = [dict(row._mapping) for row in result]
+
+        for row in rows:
+            conn.execute(
+                text(
+                    """
+                UPDATE public_marts.mart_neighbourhood_overview
+                SET population = :pop
+                WHERE neighbourhood_id = :nid AND year = :year
+            """
+                ),
+                {
+                    "nid": row["neighbourhood_id"],
+                    "year": row["year"],
+                    "pop": random.randint(8000, 45000),
+                },
+            )
+            total += 1
+
+    print(f"Seeded overview mart data for {total} records")
+    return total
+
+
 def run_dbt() -> bool:
     """Run dbt to rebuild marts."""
     dbt_dir = PROJECT_ROOT / "dbt"
@@ -137,16 +312,10 @@ def run_dbt() -> bool:
     print("Running dbt to rebuild marts...")
 
     env = os.environ.copy()
+    env["POSTGRES_PASSWORD"] = os.environ.get("POSTGRES_PASSWORD", "")
 
     result = subprocess.run(
-        [
-            dbt_cmd,
-            "run",
-            "--profiles-dir",
-            str(dbt_dir),
-            "--select",
-            "+mart_neighbourhood_amenities +mart_neighbourhood_demographics",
-        ],
+        [dbt_cmd, "run", "--profiles-dir", str(dbt_dir)],
         cwd=dbt_dir,
         capture_output=True,
         text=True,
@@ -168,10 +337,15 @@ def main() -> int:
     seed_amenities()
     update_population()
     seed_median_age()
+    seed_census_housing()
 
     if not run_dbt():
         return 1
 
+    # Seed mart tables after dbt rebuild
+    seed_housing_mart()
+    seed_overview_mart()
+
     print("\nDone! Development data is ready.")
     return 0