Announcing the Release of DHS-To-Database-dhs2CSVTables-simplified!
We are excited to announce the release of our new project: DHS-To-Database-dhs2CSVTables-simplified! This open-source tool is designed to simplify the conversion of raw Demographic and Health Surveys (DHS) data into a format suitable for database storage in CSVTables format.
What is DHS-To-Database-dhs2CSVTables-simplified?
Our project serves as a convenient wrapper around the existing DHS-To-Database tool developed by Harry Gibson. While the original tool is powerful, we recognized the need for a more accessible and user-friendly way to handle DHS data conversions. This new wrapper allows users to perform these conversions effortlessly without delving deep into the original library internals.
Key Features
- User-Friendly Wrapper: Provides an easy-to-use interface for converting raw DHS data.
- Supports Python 3.8 and Above: Ensure compatibility with modern Python environments.
- Simplified Usage: Designed for seamless interaction with raw DHS data.
- CSV to SQLite Conversion (New in v0.2.0): Now supports converting relational CSV tables to a SQLite database using the
csvs-to-sqlitecommand-line tool. This allows seamless migration of DHS data into a more structured relational database format.
For detailed documentation, examples, and to get started with the tool, please visit our GitHub repository: DHS-To-Database-dhs2CSVTables-simplified.
Contributing
We welcome contributions from the community! If you have suggestions or improvements, please feel free to fork the repository and submit a pull request. Your contributions can help enhance this tool for everyone.
Acknowledgments
A special thanks to Harry Gibson for his foundational work on the DHS-To-Database tool. Our project builds on his incredible contributions to the open-source community.