refactor: multi-dashboard structural migration
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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>
This commit is contained in:
2026-02-01 19:08:20 -05:00
parent a5d6866d63
commit 62d1a52eed
73 changed files with 1114 additions and 623 deletions

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-- Intermediate: Housing indicators by neighbourhood
-- Combines census housing data with allocated CMHC rental data
-- Grain: One row per neighbourhood per year
with neighbourhoods as (
select * from {{ ref('stg_toronto__neighbourhoods') }}
),
census as (
select * from {{ ref('stg_toronto__census') }}
),
allocated_rentals as (
select * from {{ ref('int_rentals__neighbourhood_allocated') }}
),
housing as (
select
n.neighbourhood_id,
n.neighbourhood_name,
n.geometry,
coalesce(r.year, c.census_year, 2021) as year,
-- Census housing metrics
c.pct_owner_occupied,
c.pct_renter_occupied,
c.average_dwelling_value,
c.median_household_income,
-- Allocated rental metrics (weighted average from CMHC zones)
r.avg_rent_2bed,
r.vacancy_rate,
-- Affordability calculations
case
when c.median_household_income > 0 and r.avg_rent_2bed > 0
then round((r.avg_rent_2bed * 12 / c.median_household_income) * 100, 2)
else null
end as rent_to_income_pct,
-- Affordability threshold (30% of income)
case
when c.median_household_income > 0 and r.avg_rent_2bed > 0
then r.avg_rent_2bed * 12 <= c.median_household_income * 0.30
else null
end as is_affordable
from neighbourhoods n
left join census c on n.neighbourhood_id = c.neighbourhood_id
left join allocated_rentals r
on n.neighbourhood_id = r.neighbourhood_id
and r.year = c.census_year
)
select * from housing