π 2023-10-15 β Session: Developed README and Workflow for Socioeconomic Analysis
π 03:00β03:30
π·οΈ Labels: README, Github, Data Processing, Graph Visualization, Workflow
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to create a comprehensive README for a socioeconomic analysis project focused on Argentina, and to enhance the projectβs 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
graphvizlibrary. - 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.