Structured Data Analysis and Repository Planning

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📅 2023-12-23 — Session: Structured Data Analysis and Repository Planning

🕒 18:30–20:00
🏷️ Labels: Repository, Documentation, Jupyter, Matplotlib, AEA, Economic Analysis
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to develop a comprehensive plan for structuring a data analysis repository and ensuring compliance with AEA guidelines for research projects.

Key Activities:

  • Developed a repository structuring plan focusing on documentation, data provenance, licensing, and organization to enhance clarity and reproducibility.
  • Created a comprehensive project plan to adhere to AEA guidelines, emphasizing data and code sharing, documentation, ethics, and maintenance.
  • Analyzed and optimized a Jupyter notebook for statistical analysis, identifying data handling, visualization, and optimization opportunities.
  • Resolved a Matplotlib AttributeError by updating the histogram function to use the density parameter instead of normed.
  • Defined requirements for analyzing cross-covariance terms in economic data to understand sectoral sales dynamics.

Achievements:

  • Established a clear repository structuring plan and compliance framework with AEA guidelines.
  • Improved Jupyter notebook performance and resolved Matplotlib errors.

Pending Tasks:

  • Further optimization of Jupyter notebooks based on identified bottlenecks.
  • Implementation of the defined requirements for economic data analysis.

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