Structured database design for Poverty Index

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📅 2023-10-02 — Session: Structured database design for Poverty Index

🕒 11:50–12:40
🏷️ Labels: Database Design, Poverty Index, Argentina, Data Analysis, Documentation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to design and document the database structure for the ‘Índice de Pobreza en Argentina’ project, focusing on data related to poverty and socio-economic indicators in Argentina.

Key Activities:

  • Developed a README template for project documentation, emphasizing its structure and usage.
  • Analyzed JSON data structures for economic observables, focusing on poverty and indigence statistics.
  • Created a step-by-step guide for documenting databases, enhancing usability and understanding.
  • Conducted a detailed analysis of grouping variables and data subsets for segmentation.
  • Proposed a database structure for the PobrezaArgentina project, including tables for Personas, Hogares, Aglomerados, and Regiones with primary and foreign keys.
  • Suggested a database framework divided into BD_Personas and BD_Hogares, considering segmentation and performance.
  • Reviewed methodologies for data collection and processing from EPH and Census 2010 in Argentina.

Achievements:

  • Established a comprehensive plan for database documentation and design.
  • Clarified the structure and attributes of economic data relevant to poverty analysis.

Pending Tasks:

  • Finalize the implementation of the proposed database structures.
  • Conduct further testing and validation of the database design to ensure performance and accuracy.

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