Documented and Structured Poverty Database for Argentina

• Day: 2023-10-02
• Time: 11:50 to 12:40
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Poverty Index, Database Design, Data Analysis, Argentina, Documentation

Description

Session Goal

The session aimed to document and structure the database for the ‘Índice de Pobreza en Argentina’ project, focusing on data analysis and management.

Key Activities

• Created a README template for the project, detailing its importance and usage instructions.
• Analyzed JSON data structures related to economic observables, focusing on poverty and indigence statistics.
• Developed a step-by-step guide for documenting databases, covering sections like overview, file structure, and usage.
• Analyzed variables for data segmentation and described different data subsets.
• Proposed a database structure for PobrezaArgentina with tables for Personas, Hogares, Aglomerados, and Regiones.
• Suggested database structuring for analysis, considering keys and performance.
• Reviewed data collection and processing methodologies from the EPH and 2010 Census.

Achievements

• Successfully documented the project with a comprehensive README.
• Gained insights into the JSON data structure and economic observables.
• Established a clear framework for database documentation and structuring.

Pending Tasks

• Finalize the database schema implementation and test for performance and accuracy.

Evidence

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• event_ids: []