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Project description

MyNHANES

Overview

MyNHANES is a Django-based application designed to manage and analyze the NHANES (National Health and Nutrition Examination Survey) dataset. It provides a suite of tools for importing, exporting, querying, and managing NHANES data, enabling users to perform complex data analyses and generate reports efficiently.

Features

  • Data Management: Import and export NHANES cycles, datasets, and configurations seamlessly between development and production environments.
  • Custom Queries: Users can configure custom queries with dynamic fields and filters to extract specific data from the NHANES dataset.
  • Automated Deployment: Supports automated setup and deployment processes, making it easy to get the application running in any environment.
  • User-Friendly Interface: Comes with an intuitive admin interface for managing NHANES data and configurations without needing direct database access.

Installation

To install MyNHANES, follow these steps:

  1. Ensure you have Python 3.10 or newer installed.

  2. Install the package using pip:

    pip install mynhanes
    
  3. After installation, you can start setting up your application with the available management commands.

Usage

Once installed, you can use the management commands provided by Django to manage your NHANES data:

  • Deploying the Application:

    python manage.py deploy --option [local|remote]
    

    Use local for a fresh setup and remote to connect to an existing database.

  • Start Web Interface:

    python manage.py runserver
    

    This command will start a local web server.

  • Importing Data:

    python manage.py loader
    

    Use this command will load data from NHANES.

Configuration

Edit the settings.py file to adjust database configurations and other settings according to your environment needs.

Contributing

Contributions to MyNHANES are welcome! Please feel free to fork the repository, make changes, and submit pull requests.

License

MyNHANES is open-source software licensed under the MIT license.

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