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