πŸ“… 2023-10-15 β€” Session: Developed README and Workflow for Socioeconomic Analysis

πŸ•’ 03:00–03:30
🏷️ Labels: README, Github, Data Processing, Visualization, Dot Format
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop a comprehensive README for a socioeconomic analysis project focused on Argentina, and to enhance the project’s documentation with visual elements and data processing workflows.

Key Activities

  • Created a README template in Spanish for the socioeconomic analysis project, detailing methodology, datasets, results, and contributions.
  • Generated a guide for embedding flow diagrams in GitHub README.md files, including code examples and project structure.
  • Reviewed tools and libraries for data processing and visualization, such as Pandas, NumPy, and Scikit-learn.
  • Updated the data processing workflow diagram using DOT language to illustrate data flow and dependencies.
  • Explored graph visualization options using DOT format with Graphviz and Python libraries.
  • Assisted in generating graphs using the graphviz Python library.
  • Provided a guide for troubleshooting image rendering issues in GitHub repositories.

Achievements

  • Successfully developed a structured README template for the project.
  • Enhanced documentation with visual aids and updated workflows.
  • Clarified the use of various data processing tools and libraries.

Pending Tasks

  • Finalize the integration of all visual elements into the GitHub repository.
  • Further testing and validation of image rendering and graph visualization on GitHub.