📅 2025-08-19 — Session: Consolidated and Exported Socioeconomic Data to CSV
🕒 23:15–23:35
🏷️ Labels: CSV, Data Analysis, Socioeconomic, Atlas De Pobreza, Machine Learning
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to organize and export socioeconomic research data into a consolidated CSV format, enhancing data accessibility and analysis.
Key Activities
- Consolidated CSV for SERP Digests: Prepared a CSV categorizing studies by characteristics and methodologies related to socioeconomic data analysis. Suggested creating a ‘ridge map’ for visual representation.
- Exporting Research Landscape Data: Created a DataFrame from socioeconomic research articles and exported it to CSV for further analysis.
- CSV Formatting and Data Normalization: Ensured CSV formatting correctness, provided a downloadable file, and offered options for data normalization and deduplication.
- Atlas de Pobreza Documentation: Provided a quick starter guide and interdisciplinary framework for the Atlas de Pobreza project, integrating socioeconomic data with machine learning.
Achievements
- Successfully organized and exported research data into a CSV format.
- Provided comprehensive documentation for the Atlas de Pobreza project.
Pending Tasks
- Develop a visual ‘ridge map’ to represent relationships in the data.
- Further explore interdisciplinary applications within the Atlas de Pobreza framework.