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