Structured Repository and Compliance Planning for Data Projects

📅 2023-12-23 — Session: Structured Repository and Compliance Planning for Data Projects

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

The session aimed to establish a structured plan for organizing data analysis repositories and ensuring compliance with research guidelines.

Developed a comprehensive plan for structuring a data analysis repository, focusing on documentation, data provenance, licensing, and organization to enhance clarity and reproducibility.
Outlined a project plan to ensure adherence to American Economic Association (AEA) guidelines, emphasizing best practices in data and code sharing, documentation, ethics, and maintenance.
Analyzed a Jupyter notebook for statistical analysis, identifying optimization opportunities and potential bottlenecks, and provided recommendations for improvement.
Fixed an AttributeError in Matplotlib’s histogram function by replacing the deprecated normed parameter with density for compatibility with newer versions.
Defined the requirements for analyzing economic data, particularly cross-covariance terms, to understand sectoral sales dynamics.

Established clear guidelines for repository structuring and research compliance.
Resolved a coding error in data visualization, improving compatibility with updated libraries.

Implement the recommended optimizations in the Jupyter notebook to enhance performance.
Further develop the economic data analysis plan, focusing on statistical methods for cross-covariance analysis.