Refer to the SFU Library Writing Guides for specific advice on scientific and technical writing.
Write for a technically-literate person (like a manager or coworker) without relying on excessive jargon.
Describe how data was gathered and cleaned. For small sample sizes, use specific activity interval algorithms to selective remove outliers.
Detail the specific analytical techniques used. For complex data, consider visualizations suggested by The Python Graph Gallery.
If this is for a specific course submission, ensure your .rar file contains the final PDF report, cleaned datasets, and any source code (e.g., Python scripts) as required by the CourSys submission guidelines.