lmiranda
c9cf744d84
Implement full 5-tab Toronto Neighbourhood Dashboard with real data connectivity: Dashboard Structure: - Overview tab with livability scores and rankings - Housing tab with affordability metrics - Safety tab with crime statistics - Demographics tab with population/income data - Amenities tab with parks, schools, transit Figure Factories (portfolio_app/figures/): - bar_charts.py: ranking, stacked, horizontal bars - scatter.py: scatter plots, bubble charts - radar.py: spider/radar charts - demographics.py: donut, age pyramid, income distribution Service Layer (portfolio_app/toronto/services/): - neighbourhood_service.py: queries dbt marts for all tab data - geometry_service.py: generates GeoJSON from PostGIS - Graceful error handling when database unavailable Callbacks (portfolio_app/pages/toronto/callbacks/): - map_callbacks.py: choropleth updates, map click handling - chart_callbacks.py: supporting chart updates - selection_callbacks.py: dropdown handlers, KPI updates Data Pipeline (scripts/data/): - load_toronto_data.py: orchestration script with CLI flags Lessons Learned: - Graceful error handling in service layers - Modular callback structure for multi-tab dashboards - Figure factory pattern for reusable charts Closes: #64, #65, #66, #67, #68, #69, #70 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
212 lines
9.2 KiB
Python
212 lines
9.2 KiB
Python
"""Demographics tab for Toronto Neighbourhood Dashboard.
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Displays population, income, age, and diversity metrics.
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"""
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import dash_mantine_components as dmc
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from dash import dcc
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def create_demographics_tab() -> dmc.Stack:
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"""Create the Demographics tab layout.
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Layout:
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- Choropleth map (demographic metric) | KPI cards
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- Age distribution chart | Income distribution chart
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Returns:
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Tab content as a Mantine Stack component.
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"""
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return dmc.Stack(
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[
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# Main content: Map + KPIs
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dmc.Grid(
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[
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# Choropleth map
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dmc.GridCol(
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dmc.Paper(
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[
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dmc.Group(
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[
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dmc.Title(
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"Neighbourhood Demographics",
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order=4,
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size="h5",
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),
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dmc.Select(
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id="demographics-metric-select",
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data=[
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{
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"value": "population",
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"label": "Population",
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},
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{
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"value": "median_income",
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"label": "Median Income",
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},
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{
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"value": "median_age",
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"label": "Median Age",
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},
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{
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"value": "diversity_index",
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"label": "Diversity Index",
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},
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],
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value="population",
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size="sm",
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w=180,
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),
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],
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justify="space-between",
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mb="sm",
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),
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dcc.Graph(
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id="demographics-choropleth",
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config={
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"scrollZoom": True,
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"displayModeBar": False,
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},
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style={"height": "450px"},
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),
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],
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p="md",
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radius="sm",
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withBorder=True,
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),
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span={"base": 12, "lg": 8},
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),
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# KPI cards
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dmc.GridCol(
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dmc.Stack(
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[
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dmc.Paper(
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[
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dmc.Text(
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"City Population", size="xs", c="dimmed"
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),
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dmc.Title(
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id="demographics-city-pop",
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children="2.79M",
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order=2,
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),
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dmc.Text(
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id="demographics-pop-change",
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children="+2.3% since 2016",
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size="sm",
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c="green",
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),
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],
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p="md",
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radius="sm",
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withBorder=True,
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),
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dmc.Paper(
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[
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dmc.Text(
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"Median Household Income",
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size="xs",
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c="dimmed",
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),
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dmc.Title(
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id="demographics-city-income",
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children="$84,000",
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order=2,
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),
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dmc.Text(
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"City average",
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size="sm",
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c="dimmed",
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),
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],
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p="md",
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radius="sm",
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withBorder=True,
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),
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dmc.Paper(
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[
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dmc.Text(
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"Selected Neighbourhood",
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size="xs",
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c="dimmed",
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),
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dmc.Title(
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id="demographics-selected-name",
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children="Click map to select",
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order=4,
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size="h5",
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),
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dmc.Stack(
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id="demographics-selected-details",
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children=[
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dmc.Text("—", c="dimmed"),
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],
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gap="xs",
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),
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],
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p="md",
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radius="sm",
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withBorder=True,
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),
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],
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gap="md",
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),
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span={"base": 12, "lg": 4},
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),
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],
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gutter="md",
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),
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# Supporting charts
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dmc.Grid(
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[
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# Age distribution
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dmc.GridCol(
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dmc.Paper(
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[
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dmc.Title(
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"Age Distribution",
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order=4,
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size="h5",
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mb="sm",
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),
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dcc.Graph(
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id="demographics-age-chart",
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config={"displayModeBar": False},
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style={"height": "300px"},
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),
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],
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p="md",
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radius="sm",
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withBorder=True,
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),
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span={"base": 12, "md": 6},
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),
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# Income distribution
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dmc.GridCol(
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dmc.Paper(
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[
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dmc.Title(
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"Income Distribution",
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order=4,
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size="h5",
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mb="sm",
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),
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dcc.Graph(
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id="demographics-income-chart",
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config={"displayModeBar": False},
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style={"height": "300px"},
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),
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],
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p="md",
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radius="sm",
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withBorder=True,
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),
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span={"base": 12, "md": 6},
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),
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],
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gutter="md",
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),
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],
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gap="md",
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)
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