📅 2023-05-23 — Session: Structured Documentation and Data Processing for Peronómetro
🕒 19:20–22:10
🏷️ Labels: Documentation, Data Processing, Python, Command Line, Peronómetro Electoral
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to structure project documentation and process election data for the ‘Peronómetro Electoral’ project.
Key Activities
- Developed guidelines for creating comprehensive project documentation, covering sections like introduction, installation, usage, data description, analysis methodology, webpage features, examples, troubleshooting, contributing guidelines, and references.
- Provided an overview of the ‘Peronómetro Electoral’ project, focusing on data processing and web visualization of electoral data, including objectives, data sources, and analysis methods.
- Executed Python scripting for searching specific strings in files, and used
grepfor recursive string searches in the terminal. - Implemented a command to list large files and update the
.gitignorefile accordingly. - Manipulated data using Python, sorting a DataFrame by ‘votos_cantidad’ and grouping by multiple columns to select top entries.
Achievements
- Established a structured approach for project documentation.
- Clarified the project scope and data processing methods for the ‘Peronómetro Electoral’.
- Enhanced file search and management practices using Python and command-line tools.
- Improved data manipulation techniques with Python’s Pandas library.
Pending Tasks
- Further refine the project documentation with additional examples and troubleshooting sections.
- Explore more efficient data processing methods for large datasets.