JacobWeinbren / Canadian-Census

Canadian Census Data Processing

Notes

• Variables are worked out as a proportion of the total variable (i.e, their heading)
• Calculated variables (e.g., median age) are retained
• Total variables are retained

Sources

• Boundaries
• Census Data

File Summaries

• scripts/menu_list.py: Parses CSV to extract and structure characteristics.
• scripts/clean.py: Filters menu items based on valid IDs from the CSV.
• scripts/computed_values.py: Identifies and collects calculated variables from the CSV.
• scripts/intersect.py: Generates map data by intersecting areas and buildings.
• data/census/: Contains the raw census data in CSV format.
• src/database.ts: Processes CSV files and updates Redis.
• src/server.ts: Sets up an Express server to serve map tiles.
• src/statistics.ts: Calculates percentiles for menu items.

Build and Run

1. Install dependencies:

npm install
pip install -r requirements.txt

2. Build the TypeScript code:

npm run build

3. Generate menu items and statistics:

python scripts/menu_list.py
npm run statistics
python scripts/clean.py

4. Generate map data:

python scripts/intersect.py

5. Create the database:

npm run create

6. Start the server:

npm run start

License

This project is licensed under the MIT License.