STA9750 ElissaLeung MiniProject #01

[ElissaLeung]

Hi @michaelweylandt!

I've uploaded my work for MiniProject #01 - check it out!

https://ElissaLeung.github.io/STA9750-2024-FALL/mp01.html

[michaelweylandt]

Thanks @ElissaLeung !

Peer Feedback:

• @CristelKZuniga
• @Timbila614
• @chrismontano129
• @Gautam-1-R

It is now time for the peer feedback round for Mini-Project #01. Please review @ElissaLeung'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 @ElissaLeung, but you are of course welcome to initiate a discussion.

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

Submission URL should be: https://ElissaLeung.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

[Chrismontano129]

Hey @ElissaLeung

-Written Communication (10) The introduction gives background information about public transportation in the United States while succinctly outlining the project's goal. However, readers who may not be familiar with transportation might find it helpful to provide a quick clarification for some technical words (such as "revenue miles").

-Project Skeleton (10) Most of the activities assigned by the instructor are completed by the website, including data exploration and visualization. It appears that there was a chance lost to expand the analysis and include more data insights, such as the relationship between population density and fare revenue for additional extra credit?

Recommendation: Expanding on the comparative analysis between various transit systems would demonstrate a comprehensive comprehension.

-Formatting & Display (10) The tables are generally well-formatted, with meaningful column names and captions.

-Code Quality (10) Code snippets are clear and make use of well-named variables,

-Data Preparation (10) The project utilizes the provided dataset effectively

Total : 50

[charles-ramirez]

Hi @CristelKZuniga @Timbila614 @Gautam-1-R,

This is just a reminder that your peer review is due today at 11:45 pm.

[Timbila614]

Hi @Elissa!

I read your project, and this is my feedback:

Written Communication 10/10: The flow is clear, and key findings are well presented. Also, in some places, more context would enhance the reader's understanding.

Project Skeleton 10/10: All project tasks have been addressed and your codes work fine.

Formatting & Display 10/10: Tables are presented with proper formatting and clear column names.

Code Quality 10/10: Code executes properly and includes helpful comments.

Data Preparation 10/10: Data preparation appears flawless, with appropriate filtering and summarization of columns to generate useful insights.

Total: 50/50

[CristelKZuniga]

Hello @ElissaLeung

Here's my feedback regarding your project. Overall, I liked it a lot. The analysis you developed about how COVID influenced transit services was very interesting.

-Written Communication (10) In general, the information is clear and well-explained. I liked that in the introduction, you clearly explained the purpose of the analysis, and in the conclusion, you strongly tied the final result together.

-Project Skeleton (10) All activities are effectively completed. It's clear that you put effort in the analysis.

• Formatting & Display (9): The tables are well-formatted, and I like that you used headers, typography, and links to enhance the style of your project. For next time, I’d recommend answering right next to the question before showing the code.

• Code Quality (10): The code is clear and executes properly. I would suggest adding more comments to make it easier for the reader to understand what the code is doing.

-Data Preparation (10)

Total 49/50

Thank you,