l3ocho
62d1a52eed
Some checks failed
CI / lint-and-test (pull_request) Has been cancelled
- 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>
82 lines
2.2 KiB
SQL
82 lines
2.2 KiB
SQL
-- Mart: Neighbourhood Demographics Analysis
|
|
-- Dashboard Tab: Demographics
|
|
-- Grain: One row per neighbourhood per census year
|
|
|
|
with demographics as (
|
|
select * from {{ ref('int_neighbourhood__demographics') }}
|
|
),
|
|
|
|
-- City-wide averages for comparison
|
|
city_avg as (
|
|
select
|
|
census_year,
|
|
avg(median_household_income) as city_avg_income,
|
|
avg(median_age) as city_avg_age,
|
|
avg(unemployment_rate) as city_avg_unemployment,
|
|
avg(education_bachelors_pct) as city_avg_education,
|
|
avg(population_density) as city_avg_density
|
|
from demographics
|
|
group by census_year
|
|
),
|
|
|
|
final as (
|
|
select
|
|
d.neighbourhood_id,
|
|
d.neighbourhood_name,
|
|
d.geometry,
|
|
d.census_year as year,
|
|
|
|
-- Population
|
|
d.population,
|
|
d.land_area_sqkm,
|
|
d.population_density,
|
|
|
|
-- Income
|
|
d.median_household_income,
|
|
d.average_household_income,
|
|
d.income_quintile,
|
|
|
|
-- Income index (100 = city average)
|
|
case
|
|
when ca.city_avg_income > 0
|
|
then round(d.median_household_income / ca.city_avg_income * 100, 1)
|
|
else null
|
|
end as income_index,
|
|
|
|
-- Demographics
|
|
d.median_age,
|
|
d.unemployment_rate,
|
|
d.education_bachelors_pct,
|
|
|
|
-- Age index (100 = city average)
|
|
case
|
|
when ca.city_avg_age > 0
|
|
then round(d.median_age / ca.city_avg_age * 100, 1)
|
|
else null
|
|
end as age_index,
|
|
|
|
-- Housing tenure
|
|
d.pct_owner_occupied,
|
|
d.pct_renter_occupied,
|
|
d.average_dwelling_value,
|
|
|
|
-- Diversity index (using tenure mix as proxy - higher rental = more diverse typically)
|
|
round(
|
|
1 - (
|
|
power(d.pct_owner_occupied / 100, 2) +
|
|
power(d.pct_renter_occupied / 100, 2)
|
|
),
|
|
3
|
|
) * 100 as tenure_diversity_index,
|
|
|
|
-- City comparisons
|
|
round(ca.city_avg_income::numeric, 2) as city_avg_income,
|
|
round(ca.city_avg_age::numeric, 1) as city_avg_age,
|
|
round(ca.city_avg_unemployment::numeric, 2) as city_avg_unemployment
|
|
|
|
from demographics d
|
|
left join city_avg ca on d.census_year = ca.census_year
|
|
)
|
|
|
|
select * from final
|