How to improve time management for a data-heavy Statistics project due next week? I'm a sophomore majoring in Actuarial Science, taking 18 units this semester?

Focus on building the report structure before you touch the raw data. Since you have a ten-page requirement, create a blank document and write out the section headers based on the rubric first. This prevents the "blank page" syndrome and gives you a clear roadmap. Once the headers are in place, treat each section as a small, manageable task rather than one massive mountain to climb. Next, prioritize your R-code by focusing on the visuals first. It is much easier to write the descriptive text once you have the plots and regression outputs staring back at you. If you get stuck on a specific piece of code, don't spend hours debugging it in isolation. Write down what you intended to show, move on to the next section, and come back to the code once your brain is fresh. Finally, be realistic about your time. With 18 units and a job, you cannot afford to aim for perfection on every single sentence. Get the core analysis and required visualizations finished by Sunday night. Use Monday and Tuesday strictly for formatting, proofreading, and tightening up your explanations. If you have the skeleton finished, you can always fill in more detail later, but you cannot fix a project that isn't written down. You have enough technical skill to succeed if you just keep moving forward.