Final Project Presentation

Due:

Submit your slides before 1:30 pm on December 9th (Tuesday).

Weight:

This assignment is worth 10% of your final grade: 5% for your slides & slide design, and 5% for effectively presenting them in class.

Submission Details:

Presentations will be in class on December 9th and 11th. Submit your slides as a PDF or .pptx file (whichever you feel most comfortable presenting with) on E-class before 1:30 pm on December 9th. The order of presentation is the reverse of submission. The later you submit your slides, the sooner you present them.

Tasks:

You will present your analysis with your teammates in English on December 10th or 12th. Your slides do not need to include the code used to conduct your analysis (that should be able to be obtained from your report). Instead, your presentation should be a short explanation of 1) what you studied and why it matters, 2) what data you used, and 3) what you found. Below is a list of specific items your presentation should include (check the rubric of the final project to see their relative weighting).

  1. Follow these formatting rules:
  • Your presentation should be no longer than 8 minutes in length (practice! time yourself!)
  • Each team member must present at least one slide.
  • You should have between 8 and 10 slides total, including your title slide.
  • Your title slide should include the project title, team member names, and the presentation date (December 10th or 12th, 2024).
  • All slides should be numbered in the bottom-left or bottom-right corners.
  • State your research question and explain why we should care (you don’t necessarily need a slide with the question written out on it).
  1. Discuss the data source you used for your analysis:
  • Describe the data sources and display the names of the sources on your slide. You do not need the full urls to the raw data files, just the organization name (e.g. “Data source: U.S. Centers for Disease Control and Prevention”).
  • Discuss why you analyze the data. Has the data been processed? How was the data collected?
  1. Describe your data:
  • Articulate the main variables of interest in your project, and justify your choice of variables.
  • Provide descriptive statistics for all your relevant variables. These can be a mix of graphs and summary tables.
  1. Describe your results:
  • Display charts that either support or oppose your research question, or illustrate what else you might need to address your research question.
  • Your plot type choices should highlight the point you want to make or clearly show the relationship you want to emphasize - basically, what do the data say about your research question?
  • Your charts should be polished, following the design principles we have covered in class.