Provide a brief description of the analytical project, its objectives, and its relevance to operations.

• List and describe the datasets used
• Include data origin (e.g., databases, public APIs)
• Mention any access restrictions or data sensitivity considerations

• Outline the analytical methods and statistical techniques applied
• Justify the choice of methods
• Note any assumptions made during the analysis

• Describe the organization of the codebase
• Explain the purpose of key scripts and modules
• Include a directory tree if helpful

• Prerequisites (e.g., Python version, required packages)
• Installation steps
• Configuration details

• Instructions on how to run the analysis
• Example commands or workflows
• Expected inputs and outputs

• Description of the results generated by the analysis
• Location and format of output files
• Interpretation guidance if applicable

• Information on project ownership and maintenance
• Version control and update policies
• Contribution guidelines

• Names and roles of project contributors
• Contact emails or communication channels

This project is for internal use within the Department for Education.

• Any usage restrictions or disclaimers