Open Dani-0000 opened 4 weeks ago
Thanks @Dani-0000 !
Peer Feedback:
It is now time for the peer feedback round for Mini-Project #01. Please review @Dani-0000'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 @Dani-0000, but you are of course welcome to initiate a discussion.
@Dani-0000: please engage fully with your peers. They are here to help you!
Submission URL should be: https://Dani-0000.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
Here is the updated link: https://dani-0000.github.io/STA9750-2024-FALL/MP01.html
Congratulations Dani-000 for completing your MINI#01.
Things I Like:
Things to Improve:
Using bold or headings for key questions and findings would improve the readability of the report, helping the reader navigate the analysis more easily.
Instead of displaying the entire tibble output like this, It would be more efficient to directly show the result as a statement.
A tibble: 1 × 4
Mode month Agency Unlinked_Passenger_Trips
<chr> <date> <chr> <dbl>
It would enhance the report if the conclusions and key findings were highlighted more prominently after addressing each question, providing a clear summary and emphasizing the main insights from the analysis.
You can use slice(1) in the code to modify the output to return just the top result instead of displaying all rows-
Mode sum_Vehicle_Revenue_Miles_Mode
<chr> <dbl>
1 Bus 49444494088
2 Demand Response 17955073508
3 Heavy Rail 14620362107
4 Commuter Rail 6970644241
5 Vanpool 3015783362
6 Light Rail 2090094714
7 Commuter Bus 1380948975
8 Publico 1021270808
9 Trolleybus 236840288
10 Bus Rapid Transit 118425283
11 Ferryboat 65589783
12 Streetcar Rail 63389725
13 Monorail Automated Guideway 37879729
14 Hybrid Rail 37787608
15 Alaska Railroad 13833261
16 Cable Car 7386019
17 Inclined Plane 705904
18 Aerial Tramway
Rating: Written Communication: 8.5/10 Project Skeleton: 9/10 Formatting & Display: 8/10 Code Quality: 9/10 Data Presentation: 10/10 Total: 44.5/50
Hi @Dani-0000,
Please see the feedback below:
Written Communication: 7.5/10 Your introduction is clear, but highlighting key insights in your conclusions would enhance the impact.
Project Skeleton: 8.5/10 A few more headings could help readers navigate even better.
Formatting & Display: 7.5/10 Using bold for important points would improve readability, and summarizing outputs would streamline your report.
Code Quality: 8/10 Your code runs smoothly, but consider making the output more concise by using methods like slice(1) for clarity.
Data Preparation: 10/10
Total Score: 41.5/50
Best, Yanting
Hi @Dani-0000!
Great job on this project. You successfully completed all tasks, your site is easy to read and follow, and your code properly executes.
Written Communication: 9/10. Including a conclusion heading and paragraph at the end of the page would help tie things up.
Project Skeleton: 9/10. Adding a few more headings and breaking up the paragraphs into smaller paragraphs may help the reader flow through the project better.
Formatting & Display: 9/10. Perhaps importing some packages to have the ability to modify your table output to look more like a table, with outlines and column headings, would make the formatting even better. This is something I hope to learn how to do myself, so just an idea!
Code Quality: 10/10. Your code executes properly and answers each question.
Data Preparation: 10/10 (Automatic)
Total: 47/50 Great job!
Hi @jasonamey,
This is just a reminder that your peer review is due today at 11:45 pm.
Hi @Dani-0000,
Written Communication 10/10 Your narrative for this assignment is very thorough and convincingly explained. There is some strong writing in your narrative as well. I do think you can round your decimals to 3 or 4 places.
Vanpool maintained the lowest expenses per Vehicle Revenue Mile (VRM) with a total of 0.3366857
Vanpool maintained the lowest expenses per Vehicle Revenue Mile (VRM) with a total of 0.337.
Project Skeleton 10/10 As far as I can tell, you complete all components of the assignment. And all the components are convincingly explained.
Formatting and Display 7/10 I look into a a strategy beyond printing out dataframes and tibbles.
I'd be consistent with your title casing here (either make the "s" uppercase, or make everything else lowercase):
summarize(sum_Vehicle_Revenue_Miles_Mode = sum(Vehicle_Revenue_Miles))
Code Quality 10/10 I think it's great you added comments in your code.
I like that you narrated your print statement here :
print(paste("Ridership fall: ", ridership_fall))
Data Preparation 10/10
I think this is a real solid project. 47/50
Hi @michaelweylandt!
I've uploaded my work for MiniProject #01 - check it out!
Fiscal Characteristics of Major US Public Transit Systems – STA 9750 2024 Submission Material.pdf