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lmiranda 077e426d34 feat: add Sprint 5 visualization components and Toronto dashboard 
- Add figure factories: choropleth, time_series, summary_cards
- Add shared components: map_controls, time_slider, metric_card
- Create Toronto dashboard page with KPI cards, choropleth maps, and time series
- Add dashboard callbacks for interactivity
- Placeholder data for demonstration until QGIS boundaries are complete

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-11 16:20:01 -05:00
data
data: add TRREB and CMHC raw data files
2026-01-11 15:58:32 -05:00
dbt
feat: add loaders and dbt models for Toronto housing data
2026-01-11 16:07:30 -05:00
docs
Upload files to "docs"
2026-01-11 19:38:03 +00:00
notebooks
feat: project bootstrap and structure
2026-01-11 13:49:28 -05:00
portfolio_app
feat: add Sprint 5 visualization components and Toronto dashboard
2026-01-11 16:20:01 -05:00
scripts
feat: project bootstrap and structure
2026-01-11 13:49:28 -05:00
tests
feat: project bootstrap and structure
2026-01-11 13:49:28 -05:00
.env.example
feat: project bootstrap and structure
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.gitignore
feat: project bootstrap and structure
2026-01-11 13:49:28 -05:00
.pre-commit-config.yaml
data: add TRREB and CMHC raw data files
2026-01-11 15:58:32 -05:00
.python-version
feat: project bootstrap and structure
2026-01-11 13:49:28 -05:00
CLAUDE.md
docs: update CLAUDE.md reference doc paths
2026-01-11 14:02:39 -05:00
docker-compose.yml
feat: project bootstrap and structure
2026-01-11 13:49:28 -05:00
Makefile
feat: project bootstrap and structure
2026-01-11 13:49:28 -05:00
pyproject.toml
feat: implement bio landing page with dash-mantine-components
2026-01-11 14:43:50 -05:00
README.md
Initial commit
2026-01-11 18:25:07 +00:00

README.md

personal-portfolio

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Description
Analytics portfolio: Toronto Housing Dashboard (choropleth visualization, multi-source ETL, geospatial analysis) + Energy Pricing Analysis (ML prediction). Built with Dash, PostgreSQL/PostGIS, dbt, and Pydantic.​​​​​​​​​​​​​​​​
dbtdockerportfoliopythonpython-dash
Readme MIT 30 MiB
Languages
Python 82.6%
Jupyter Notebook 14.7%
Makefile 1.4%
Shell 0.7%
CSS 0.6%