lmiranda
d0f32edba7
- Add StatCan CMHC parser to fetch rental data from Statistics Canada API - Create year spine (2014-2025) as time dimension driver instead of census - Add CMA-level rental and income intermediate models - Update mart_neighbourhood_overview to use rental years as base - Fix neighbourhood_service queries to match dbt schema - Add CMHC data loading to pipeline script Data now flows correctly: 158 neighbourhoods × 12 years = 1,896 records Rent data available 2019-2025, crime data 2014-2024 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
26 lines
901 B
SQL
26 lines
901 B
SQL
-- Intermediate: Toronto CMA rental metrics by year
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-- Aggregates rental data to city-wide averages by year
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-- Source: StatCan CMHC data at CMA level
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-- Grain: One row per year
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with rentals as (
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select * from {{ ref('stg_cmhc__rentals') }}
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),
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-- Pivot bedroom types to columns
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yearly_rentals as (
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select
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year,
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max(case when bedroom_type = 'bachelor' then avg_rent end) as avg_rent_bachelor,
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max(case when bedroom_type = '1bed' then avg_rent end) as avg_rent_1bed,
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max(case when bedroom_type = '2bed' then avg_rent end) as avg_rent_2bed,
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max(case when bedroom_type = '3bed' then avg_rent end) as avg_rent_3bed,
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-- Use 2-bedroom as standard reference
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max(case when bedroom_type = '2bed' then avg_rent end) as avg_rent_standard,
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max(vacancy_rate) as vacancy_rate
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from rentals
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group by year
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)
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select * from yearly_rentals
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