📅 2023-10-14 — Session: Enhanced Workflow and Documentation for Data Notebooks
🕒 22:15–22:50
🏷️ Labels: Workflow, Data Processing, Documentation, Jupyter Notebooks, Graphviz
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to update and enhance the workflow and documentation for data processing using Jupyter notebooks, with a focus on clarity, reproducibility, and effective data management.
Key Activities
- Divided the workflow into two separate notebooks: ‘Cálculo de Pobreza’ and ‘Estadísticas Descriptivas’, and updated the Graphviz diagram to reflect these changes.
- Enhanced the workflow diagram for dataset processing, detailing adjustments based on the script from notebook 4, which processes datasets and saves outputs.
- Updated graph visualization to represent each initial dataset as an individual node, improving clarity.
- Reflected on dataset relationships in Jupyter notebooks, detailing input and output datasets and their functions.
- Reviewed geospatial data management and Mapbox integration notebooks, summarizing relationships and outputs.
- Specified datasets for a workflow represented in a directed graph format, outlining relationships between data sources and notebooks.
- Developed guidelines for minimal data documentation to ensure clarity, reproducibility, and maintainability.
Achievements
- Successfully updated and clarified the workflow for data processing in Jupyter notebooks.
- Created comprehensive and concise guidelines for data documentation, enhancing project clarity and reproducibility.
Pending Tasks
- Further refinement of the workflow diagrams to ensure all data relationships are accurately represented.
- Implementation of the data documentation guidelines across all relevant projects.