Files
personal-portfolio/portfolio_app/pages/toronto/methodology.py
lmiranda fcaefabce8 chore: Remove TRREB references from Python modules
- Remove DimTRREBDistrict model and FactPurchases model
- Remove TRREBDistrict schema and AreaType enum
- Remove TRREBDistrictParser from geo parsers
- Remove load_trreb_districts from dimension loaders
- Remove create_district_map from choropleth figures
- Remove get_demo_districts and get_demo_purchase_data from demo_data
- Update summary metrics to remove purchase-related metrics
- Update callbacks to remove TRREB-related comments
- Update methodology page to remove TRREB data source section
- Update dashboard data notice to remove TRREB mention

Closes #49

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-16 10:11:11 -05:00

216 lines
8.6 KiB
Python

"""Methodology page for Toronto Housing Dashboard."""
import dash
import dash_mantine_components as dmc
from dash import dcc, html
from dash_iconify import DashIconify
dash.register_page(
__name__,
path="/toronto/methodology",
title="Methodology | Toronto Housing Dashboard",
description="Data sources, methodology, and limitations for the Toronto Housing Dashboard",
)
def layout() -> dmc.Container:
"""Render the methodology page layout."""
return dmc.Container(
size="md",
py="xl",
children=[
# Back to Dashboard button
dcc.Link(
dmc.Button(
"Back to Dashboard",
leftSection=DashIconify(icon="tabler:arrow-left", width=18),
variant="subtle",
color="gray",
),
href="/toronto",
),
# Header
dmc.Title("Methodology", order=1, mb="lg", mt="md"),
dmc.Text(
"This page documents the data sources, processing methodology, "
"and known limitations of the Toronto Housing Dashboard.",
size="lg",
c="dimmed",
mb="xl",
),
# Data Sources Section
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
mb="lg",
children=[
dmc.Title("Data Sources", order=2, mb="md"),
# CMHC
dmc.Title("Rental Data: CMHC", order=3, size="h4", mb="sm"),
dmc.Text(
[
"Canada Mortgage and Housing Corporation (CMHC) conducts the annual ",
html.Strong("Rental Market Survey"),
" providing rental market statistics for major urban centres.",
],
mb="sm",
),
dmc.List(
[
dmc.ListItem("Source: CMHC Rental Market Survey (Excel)"),
dmc.ListItem(
"Geographic granularity: ~20 CMHC Zones (Census Tract aligned)"
),
dmc.ListItem(
"Temporal granularity: Annual (October survey)"
),
dmc.ListItem("Coverage: 2021-present"),
dmc.ListItem(
[
"Metrics: Average/median rent, vacancy rate, universe count, ",
"turnover rate, year-over-year rent change",
]
),
],
mb="md",
),
dmc.Anchor(
"CMHC Housing Market Information Portal",
href="https://www.cmhc-schl.gc.ca/professionals/housing-markets-data-and-research/housing-data/data-tables/rental-market",
target="_blank",
),
],
),
# Geographic Considerations
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
mb="lg",
children=[
dmc.Title("Geographic Considerations", order=2, mb="md"),
dmc.Text(
"The dashboard presents two geographic layers:",
mb="sm",
),
dmc.List(
[
dmc.ListItem(
[
html.Strong("City Neighbourhoods (158): "),
"Official City of Toronto neighbourhood boundaries, "
"used for neighbourhood-level analysis.",
]
),
dmc.ListItem(
[
html.Strong("CMHC Zones (~20): "),
"Used for rental data visualization. "
"Zones are aligned with Census Tract boundaries.",
]
),
],
),
],
),
# Policy Events
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
mb="lg",
children=[
dmc.Title("Policy Event Annotations", order=2, mb="md"),
dmc.Text(
"The time series charts include markers for significant policy events "
"that may have influenced housing market conditions. These annotations are "
"for contextual reference only.",
mb="md",
),
dmc.Alert(
title="No Causation Claims",
color="blue",
children=[
"The presence of a policy marker near a market trend change does ",
html.Strong("not"),
" imply causation. Housing markets are influenced by numerous factors "
"beyond policy interventions.",
],
),
],
),
# Limitations
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
mb="lg",
children=[
dmc.Title("Limitations", order=2, mb="md"),
dmc.List(
[
dmc.ListItem(
[
html.Strong("Aggregate Data: "),
"All statistics are aggregates. Individual property characteristics, "
"condition, and micro-location are not reflected.",
]
),
dmc.ListItem(
[
html.Strong("Reporting Lag: "),
"CMHC rental data is annual (October survey). "
"Other data sources may have different update frequencies.",
]
),
dmc.ListItem(
[
html.Strong("Data Suppression: "),
"Some cells may be suppressed for confidentiality when counts "
"are below thresholds.",
]
),
],
),
],
),
# Technical Implementation
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
children=[
dmc.Title("Technical Implementation", order=2, mb="md"),
dmc.Text("This dashboard is built with:", mb="sm"),
dmc.List(
[
dmc.ListItem("Python 3.11+ with Dash and Plotly"),
dmc.ListItem("PostgreSQL with PostGIS for geospatial data"),
dmc.ListItem("dbt for data transformation"),
dmc.ListItem("Pydantic for data validation"),
dmc.ListItem("SQLAlchemy 2.0 for database operations"),
],
mb="md",
),
dmc.Anchor(
"View source code on GitHub",
href="https://github.com/lmiranda/personal-portfolio",
target="_blank",
),
],
),
# Back link
dmc.Group(
mt="xl",
children=[
dmc.Anchor(
"← Back to Dashboard",
href="/toronto",
size="lg",
),
],
),
],
)