feat: Complete Phase 5 dashboard implementation
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>
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portfolio_app/pages/toronto/tabs/overview.py
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portfolio_app/pages/toronto/tabs/overview.py
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"""Overview tab for Toronto Neighbourhood Dashboard.
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Displays composite livability score with safety, affordability, and amenity components.
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"""
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import dash_mantine_components as dmc
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from dash import dcc, html
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def create_overview_tab() -> dmc.Stack:
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"""Create the Overview tab layout.
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Layout:
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- Choropleth map (livability score) | KPI cards
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- Top/Bottom 10 bar chart | Income vs Crime scatter
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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 Livability",
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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="overview-metric-select",
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data=[
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{
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"value": "livability_score",
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"label": "Livability Score",
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},
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{
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"value": "safety_score",
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"label": "Safety Score",
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},
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{
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"value": "affordability_score",
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"label": "Affordability Score",
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},
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{
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"value": "amenity_score",
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"label": "Amenity Score",
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},
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],
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value="livability_score",
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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="overview-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("City Average", size="xs", c="dimmed"),
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dmc.Title(
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id="overview-city-avg",
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children="72",
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order=2,
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),
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dmc.Text("Livability Score", size="sm", fw=500),
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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="overview-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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html.Div(
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id="overview-selected-scores",
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children=[
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dmc.Text("—", c="dimmed"),
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],
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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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"Score Components", size="xs", c="dimmed"
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),
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dmc.Stack(
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[
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dmc.Group(
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[
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dmc.Text("Safety", size="sm"),
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dmc.Text(
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"30%",
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size="sm",
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c="dimmed",
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),
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],
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justify="space-between",
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),
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dmc.Group(
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[
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dmc.Text(
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"Affordability", size="sm"
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),
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dmc.Text(
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"40%",
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size="sm",
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c="dimmed",
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),
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],
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justify="space-between",
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),
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dmc.Group(
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[
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dmc.Text(
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"Amenities", size="sm"
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),
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dmc.Text(
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"30%",
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size="sm",
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c="dimmed",
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),
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],
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justify="space-between",
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),
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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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# Top/Bottom rankings
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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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"Top & Bottom Neighbourhoods",
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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="overview-rankings-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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# Scatter plot
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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 vs Safety",
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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="overview-scatter-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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