πŸ“… 2023-01-02 β€” Session: Structured README and Data Automation for EPH Repository

πŸ•’ 23:00–23:20
🏷️ Labels: README, EPH, Automation, Markdown, Data Processing
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to develop a comprehensive README file structure for the EPH survey repository and automate data processing tasks using Python scripts.

Key Activities:

  • Outlined the structure for the README file, covering sections like introduction, data description, script overview, requirements, usage, license, and contact information.
  • Provided an overview of the INDEC EPH microdata repository, detailing data formats, survey scope, and citation requirements.
  • Documented the purpose and functionality of the β€˜actualizador.py’ script and β€˜extract_dbf_files.ipynb’ notebook, which automate data downloading, decompressing, and organization from the EPH of INDEC.
  • Explained Markdown syntax for adding comments, creating hyperlinks, and formatting elements like horizontal lines.

Achievements:

  • Established a clear and structured outline for the README.md file of the EPH INDEC Argentina repository.
  • Automated data processing tasks were clarified and documented, enhancing the efficiency of handling EPH data.

Pending Tasks:

  • Finalize the README.md file with detailed instructions and examples.
  • Test the automation scripts to ensure they function as expected with the latest data.