ACF Data Surge Coding Standards

This guide covers essential topics such as directory structure, file naming conventions, best practices for GitHub usage, computational considerations, the choice between functional and object-oriented programming, the use of notebooks versus scripts (i.e., RMarkdown, Jupyter Notebooks, Quarto), and guidelines for commenting and code documentation. By adhering to these standards, we ensure consistency, readability, and maintainability across our projects, enabling us to effectively support ACF in managing data projects.

• Analysis Standards
• Compute Considerations
• Data Visualization
• Directories
• Documentation
• Functional Programming
• GitHub
• Notebooks
• R Standards
• Scripts
  • R-specifc Standards
  • Python-specific Standards
• Tools