7 Midterm Project

For your midterm project, you will be producing a series of data visualizations of your choice. You must find sources of data, clean it with R, and visualize it with GGplot.

7.1 Requirements

  1. You should find some data on a subject of your choice. This must include at least 2 separate sources of data, and you should join them together or otherwise gather them.
  2. You should produce a Quarto document detailing your data cleaning and visualization process. Please email this to me by noon on Monday, November 4th. If you need more time, please let me know in advance.
  3. I should be able to run this code from beginning to end on my computer without issues, so be sure to include download.file() code, and make sure everything runs without errors.
  4. Every code block should have an explanation of what you’re doing, written in your own words. Add comments to your code as necessary.
  5. You should produce 4 unique visualizations of your data, which illustrate an interesting finding or point.
  6. You must also present your findings to the class as a short presentation. This must include:
    • Your visualizations and the subject they describe.

    • Your data cleaning process, and any challenges you faced.

  7. Please email me the presentation before noon on Wednesday, November 6. You’ll be showing these to the class, so be ready to explain your work.
  8. You should exclusively make use of R, the Tidyverse, and GGplot.

Don’t procrastinate on this project too much! It would be a lot to do in one night. If you need help, suggestions, or ideas, feel free to email me.

7.2 Grading

40% Data cleaning and code

  • Can the code be run from beginning to end without modification?

  • Did you explain every major step of your process?

  • Did you make use of the Tidyverse and some skills we’ve learned so far?

  • Would someone else be able to understand what you’ve done?

50% Visualization quality

  • Are your plots easy to understand?

  • Do they sufficiently explain the subject?

  • Are they aesthetically pleasing and suitable for academic or journalistic publication?

10% Presentation