Open Cdiallo77 opened 1 month ago
Thanks @Cdiallo77 !
Peer Feedback:
It is now time for the peer feedback round for Mini-Project #01. Please review @Cdiallo77's submission for this mini-project and provide peer feedback.
Using the rubric at https://michael-weylandt.com/STA9750/miniprojects/mini01.html#rubric, please grade their submission out of a total of 50 points.
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 @Cdiallo77, but you are of course welcome to initiate a discussion.
@Cdiallo77: please engage fully with your peers. They are here to help you!
Submission URL should be: https://Cdiallo77.github.io/STA9750-2024-FALL/mp01.html
Feel free to link to other repos, the course documentation, or other useful examples.
Thanks! @michaelweylandt
CC: @charles-ramirez
Hi, @plnrbrt @Haina0 @greazyz @CristelKZuniga,
This is just a reminder that your peer review is due at 11:45 pm on Wednesday, Oct 2.
Hi @Cdiallo77, Thank you for sharing your mini-project 1. I want to start by saying I like how you formatted the page on your website by mentioning the author and the date it was published. Written Communication: 1/10 You did not mention what was the subject neither what is the context of your analysis. You did not put the information from where you got the data. If people go to your website page and want to reproduce your work in order to progress in coding, they will not be able to do this because of the lack of information on where the data came from. It would have been nice as well to add response sentences as well as a written conclusion at the end of your analysis. Also, you need to describe in more detail what the code is for and why are you coding this for. I also do not see the results from your code so it is hard to understand the way the analysis is conducted. Project Skeleton: 3/10 You skipped some questions in task 3 (3.2) and also skipped tasks 4 and 6. Formatting & Display: 1/10 I am sorry but you did not display any tables or nicely formatted answers. Code Quality: 2/10 Some of your code is wrong (for example your code for the Number of trips on the NYC Subway in May 2024 shows an answer of 0 which is incorrect, as well as your code Farebox Recovery Among Major Systems shows an error) and most of the coding work that was expected in this mini-project was for task 6 which you didn't add to your webpage so I cannot really rate your code quality on this mini project. Data Preparation: 10/10 Total Grade: 17/50
Hi Cheick, Written Communication: 1 This report was very direct, in just running the R code needed. It would be great to see how you would’ve answered the questions in report-style.
Project Skeleton: 3 Some of the tasks are missing; you answered the first listed question in each task.
Formatting & Display: 4 The report was just a lot of data and no answers. Some R code chunks didn't need to be displayed as there were no tables being shown.
Code Quality: 4 While your R code ran for each question you answered, it looks very clunky with no text.
Score: 22/50
Hi @Cdiallo77
Great work on mini-project 1!
Feedback: Written Communication: 7/10 Project Skeleton: 8/10 Formatting & Display: 10/10 Code Quality: 9/10 Data Prep: 10/10
Total:44/50
Hello @Cdiallo77
Thanks for sharing mini-project 1, I have a few comments that I hope will help you improve and identify some opportunity areas for the next mini-project.
Written Communication (6): There isn't any explanation to help the reader understand what you're trying to analyze in each section of the code, which makes it difficult to follow. Next time, I suggest focusing more on providing proper explanations.
Project Skeleton (7): Some tasks are missing, so the project is incomplete.
Formatting & Display (7): Although I don't see any tables, the use of headers gives the reader an idea of what to expect as the project develops.
Code Quality (7): Since not all tasks were completed, the corresponding code is also incomplete.
Data Preparation (10)
Thank you!
Hi @michaelweylandt!
I've uploaded my work for MiniProject #01 - check it out!
https://cdiallo77.github.io/STA9750-2024-FALL/mp01.html