STA9750 jasonamey MiniProject #03

[jasonamey]

Hi @michaelweylandt!

https://jasonamey.github.io/STA9750-2024-FALL/mp03.html

[michaelweylandt]

Thanks @jasonamey !

Peer Feedback:

• @Will-Peters
• @velasco23
• @Malexandra-Jerez
• @whaleron

It is now time for the peer feedback round for Mini-Project 03. Please review @jasonamey's submission for this mini-project and provide peer feedback.

Using the rubric at https://michael-weylandt.com/STA9750/miniprojects/mini03.html#rubric, please grade their submission out of a total of 50 points. Note that this rubric is slightly different than that used for Mini-Projects 01 and 02.

For each of the five categories, please give them a separate score and provide a total (sum) score across the entire assignment. Feel free to assign extra credit if you feel it is warranted (following the rubric).

If you give a score of less than 5 for any category, please provide a suggestion for improvement. (You can also give suggestions for any element they did well - more feedback is always great!)

As you go through this peer feedback exercise, think about what you particularly like about this submission and how you can incorporate that approach in your future work. If something is particularly insightful or creative, give some kudos!

Evaluators: This should take you around 15 minutes per peer feedback. You are not required to engage in substantial back-and-forth with @jasonamey, but you are of course welcome to initiate a discussion.

@jasonamey: please engage fully with your peers. They are here to help you!

Submission URL should be: https://jasonamey.github.io/STA9750-2024-FALL/mp03.html

Feel free to link to other repos, the course documentation, or other useful examples.

Thanks! @michaelweylandt

CC: @charles-ramirez

[velasco23]

Hi @jasonamey your project was very impressive!

Written Communication: 10/10 You did a good job at depicting the issue and highlighting your conclusions

Project Structure: 9/10 I would recommend adding a table of contents to give the reader a preview of the skeleton.

Formatting & Display: 10/10 Your graphs came out really good! Your tables were crisp and your color selection for your graphs as well.

Code Quality: 10/10 your code was easy to follow and your dataset names were clear and to the point.

Data Preparation: 10/10 You did a great job at importing and cleaning the data

Extra Credit: +5 good job on the 2014 data and presentation

54/50

[Will-Peters]

Hi @jasonamey your project was very impressive!

Written Communication: 10/10 Really went all in on this project, and it is clearly evident in the introduction alone of setting the right tone, and providing great pretext to the project

Project Structure: 9/10 If there could be an easier way to navigate between the sections or direct the reader to the task that would be helpful

Formatting & Display: 10/10 I liked the box version of the states and a lot of alternative approaches and ownership of the project.

Code Quality: 9/10 your code was easy to follow and your dataset names were clear and to the point, however would maybe add commenting on the code, to help the reader understand what each section is doing.

Data Preparation: 10/10 You did a great job at importing and cleaning the data

Extra Credit: +5 It was interesting to see your take on the 2016 election,

53/50