l3ocho
62d1a52eed
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- Rename dbt project from toronto_housing to portfolio - Restructure dbt models into domain subdirectories: - shared/ for cross-domain dimensions (dim_time) - staging/toronto/, intermediate/toronto/, marts/toronto/ - Update SQLAlchemy models for raw_toronto schema - Add explicit cross-schema FK relationships for FactRentals - Namespace figure factories under figures/toronto/ - Namespace notebooks under notebooks/toronto/ - Update Makefile with domain-specific targets and env loading - Update all documentation for multi-dashboard structure This enables adding new dashboard projects (e.g., /football, /energy) without structural conflicts or naming collisions. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
57 lines
1.6 KiB
SQL
57 lines
1.6 KiB
SQL
-- Intermediate: Housing indicators by neighbourhood
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-- Combines census housing data with allocated CMHC rental data
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-- Grain: One row per neighbourhood per year
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with neighbourhoods as (
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select * from {{ ref('stg_toronto__neighbourhoods') }}
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),
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census as (
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select * from {{ ref('stg_toronto__census') }}
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),
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allocated_rentals as (
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select * from {{ ref('int_rentals__neighbourhood_allocated') }}
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),
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housing as (
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select
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n.neighbourhood_id,
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n.neighbourhood_name,
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n.geometry,
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coalesce(r.year, c.census_year, 2021) as year,
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-- Census housing metrics
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c.pct_owner_occupied,
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c.pct_renter_occupied,
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c.average_dwelling_value,
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c.median_household_income,
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-- Allocated rental metrics (weighted average from CMHC zones)
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r.avg_rent_2bed,
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r.vacancy_rate,
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-- Affordability calculations
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case
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when c.median_household_income > 0 and r.avg_rent_2bed > 0
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then round((r.avg_rent_2bed * 12 / c.median_household_income) * 100, 2)
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else null
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end as rent_to_income_pct,
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-- Affordability threshold (30% of income)
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case
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when c.median_household_income > 0 and r.avg_rent_2bed > 0
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then r.avg_rent_2bed * 12 <= c.median_household_income * 0.30
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else null
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end as is_affordable
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from neighbourhoods n
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left join census c on n.neighbourhood_id = c.neighbourhood_id
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left join allocated_rentals r
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on n.neighbourhood_id = r.neighbourhood_id
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and r.year = c.census_year
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)
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select * from housing
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