staging #96

Merged
lmiranda merged 90 commits from staging into main 2026-02-01 21:33:13 +00:00
15 changed files with 15 additions and 15 deletions
Showing only changes of commit 92763a17c4 - Show all commits

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@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

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@@ -29,7 +29,7 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ.get('DATABASE_URL'))\n\nquery = \"\"\"\nSELECT\n neighbourhood_name,\n parks_index,\n schools_index,\n transit_index,\n amenity_index,\n amenity_tier\nFROM public_marts.mart_neighbourhood_amenities\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_amenities)\nORDER BY amenity_index DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")"
"source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ['DATABASE_URL'])\n\nquery = \"\"\"\nSELECT\n neighbourhood_name,\n parks_index,\n schools_index,\n transit_index,\n amenity_index,\n amenity_tier\nFROM public_marts.mart_neighbourhood_amenities\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_amenities)\nORDER BY amenity_index DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")"
},
{
"cell_type": "markdown",

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@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

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@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

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@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"# City-wide average rent by year\n",
"query = \"\"\"\n",

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@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

View File

@@ -29,7 +29,7 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ.get('DATABASE_URL'))\n\nquery = \"\"\"\nSELECT\n neighbourhood_id,\n neighbourhood_name,\n geometry,\n year,\n livability_score,\n safety_score,\n affordability_score,\n amenity_score,\n population,\n median_household_income\nFROM public_marts.mart_neighbourhood_overview\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_overview)\nORDER BY livability_score DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")"
"source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ['DATABASE_URL'])\n\nquery = \"\"\"\nSELECT\n neighbourhood_id,\n neighbourhood_name,\n geometry,\n year,\n livability_score,\n safety_score,\n affordability_score,\n amenity_score,\n population,\n median_household_income\nFROM public_marts.mart_neighbourhood_overview\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_overview)\nORDER BY livability_score DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")"
},
{
"cell_type": "markdown",

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@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",