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

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

Session Goal

The session aimed to create a comprehensive README for a socioeconomic analysis project focused on Argentina, and to enhance the project’s documentation with visual elements and workflow diagrams.

Key Activities

  • Created a README template in Spanish for a socioeconomic analysis project, including sections on methodology, datasets, results, and contributions.
  • Developed a guide for embedding a flowchart in a README.md file on GitHub, complete with code examples and project structure.
  • Reflected on key data processing tools and libraries such as Pandas, NumPy, and Scikit-learn, highlighting their functionalities.
  • Updated the workflow diagram for data processing using DOT language to illustrate data flow and dependencies.
  • Explored graph visualization options using DOT format with Graphviz and Python libraries.
  • Assisted in generating a graph using the Python graphviz library.
  • Provided a guide for rendering images correctly on GitHub, focusing on Markdown syntax and troubleshooting.

Achievements

  • Successfully created and documented a README template for the project.
  • Enhanced project documentation with visual elements and workflow diagrams.
  • Clarified the use of various data processing tools and libraries.

Pending Tasks

  • Further refine the README and diagrams based on peer feedback.
  • Integrate additional visualizations as the project evolves.