📅 2023-10-14 — Session: Data Processing and Workflow Visualization Enhancements
🕒 21:30–22:05
🏷️ Labels: Data Processing, Workflow Visualization, Graphviz, Scikit-Learn, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance data processing workflows and improve the visualization of these processes through various tools and techniques.
Key Activities
- Developed a high-level architecture and data dictionary for software components, focusing on data flow and documentation.
- Completed data processing in notebooks, including descriptive statistics and geospatial data handling.
- Created detailed data flow and processing schemas for multiple notebooks, focusing on poverty metrics and synthetic populations.
- Addressed graph rendering issues by generating workflow graphs as images for better accessibility.
- Utilized Graphviz to create and modify workflow diagrams, improving clarity by differentiating styles for notebooks and datasets.
- Corrected node definitions in workflow diagrams using DOT language to enhance visual representation.
- Discussed model compatibility issues with scikit-learn versions and provided strategies for handling them.
Achievements
- Successfully processed and documented data across multiple notebooks.
- Generated and enhanced workflow visualizations using Graphviz, improving the clarity and accessibility of data processing workflows.
- Identified and corrected issues in workflow diagram representations.
Pending Tasks
- Further exploration of model versioning strategies to ensure compatibility across different scikit-learn versions.