Structured Data Analysis and Repository Planning

• Day: 2023-12-23
• Time: 18:30 to 20:00
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Repository, Documentation, Jupyter, Matplotlib, AEA, Economic Analysis

Description

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.

Evidence

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• event_ids: []