IDS DRR

Project Structure

.
├── README.md
├── requirements.txt
|-- common
├── setup.py
└── states
    └── himachal_pradesh
        ├── data
        │   ├── processed
        │   │   ├── district_geojson
        │   │   └── worldpop_data
        │   └── raw
        └── src
            ├── api
            ├── data_processing
            ├── models
            ├── notebooks
            ├── scrapers
            ├── utils
            └── visualization

Overview

IDS DRR V2 - more concise rewrite

Data Structure

• common/: Common scripts/files (Common portions of GEPNIC scrapers, bhuvan common dataset)
• data/raw: Raw data
• data/processed: Contains processed data after transformation
  • district_geojson: Individual district boundary files
  • worldpop_data: Processed population data

Source Code

• api: API endpoints and services
• data_processing: Data transformation scripts
• models: Analysis models
• notebooks: Jupyter notebooks for analysis
• scrapers: Data collection utilities
• utils: Helper functions
  • geojson_processor.py: GeoJSON manipulation tools
  • worldpop_data_fetcher.py: Population data retrieval
• visualization: Data visualization components

Setup

1. Install dependencies: pip install -r requirements.txt
2. To fetch age sex pyramid and population data for Himachal Pradesh run python3 path/to/worldpop_data_fetcher.py

License

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Contact

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Usage

Contributing

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License

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