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mt1536 / STA9750-2024-FALL

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STA9750 mt1536 MiniProject #01 #2

Open mt1536 opened 3 weeks ago

mt1536 commented 3 weeks ago

Hi @michaelweylandt!

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

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

michaelweylandt commented 3 weeks ago

Link doesn't work. Replace <GITHUB_USERNAME> with your username.

michaelweylandt commented 3 weeks ago

Thanks @mt1536 !

Peer Feedback:

It is now time for the peer feedback round for Mini-Project #01. Please review @mt1536'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 @mt1536, but you are of course welcome to initiate a discussion.

@mt1536: please engage fully with your peers. They are here to help you!

Submission URL should be: https://mt1536.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

Chloe384 commented 3 weeks ago

Hi @mt1536,

Please see attached for your mini project 01 feedback. Great job!

What I liked:

Suggestions:

Grading:

Written Communication: 9 Project Skeleton: 9 Formatting and Display: 8 Code Quality: 9 Data Preparation: 10 Total: 45

Keep up with the good work!

Best, Chloe

CC: @michaelweylandt

nikitagtm commented 3 weeks ago

Congratulations mt1536 for completing your MINI#01.

Things I Liked: Clear Structure: The project is well-organized, covering all tasks. Insightful Analysis: The project includes good insights and explores relevant questions. References: I appreciate how you included links to the NTD database. It provides useful references.

Suggestions for Improvement: Printing Results: Instead of only writing answers in words, print the actual results from the code for clarity. This will ensure that if variables or data change, the results are updated automatically. Code Presentation- Currently your page is not dynamically populated. It's not executing R code except for Preparing the Data. You need to use {r} <YOUR CODE> to insert R code that will be executed when page loads. Conclusion: Adding a stronger conclusion summarizing the key findings would provide better closure and highlight the most important insights from the analysis.

Rating: Written Communication: 8/10 Project Skeleton: 8/10 Formatting & Display: 8/10 Code Quality: 9/10 Data Preparation: 10/10 Total: 43/50

Thank you,

matata668 commented 3 weeks ago

Hey @mt1536

My grading:

Written Communication: 9 You have explained and have analyzed your steps have statements iof your codes which gives us a better idea on what the codes are doing.

Project Skeleton: 10

Formatting & Display: 9 Your website looks clean and has the tables well displayed and formatted. Maybe you can add some data visualization.

Code Quality: 8 Your codes are working however are missing code statements. I would recommend adding them as they give you an idea of the code contex

Data Preparation: 10 N/A

Overall: 46/50. Great work!

mt1536 commented 3 weeks ago

@Chloe384 @nikitagtm @matata668 Hi all. Thank you for your thoughtful comments. As you guys noticed, there was an issue with my code when trying to display a chunk of code (no code execution was shown). I have updated this as well as the theme.

https://mt1536.github.io/STA9750-2024-FALL/mp01.html

+@michaelweylandt

Regards, mt1536

katariasiddhi commented 3 weeks ago

Hey @mt1536,

I wanted to first start with how amazing your website looks and how put together it is. All your codes have an output, and you made sure to include tables, an introduction explaining the project, and a conclusion.

All the questions were also broken down in an organized manner, so it was easy to follow along with the requirements

Written Communication: 9 Project Skeleton: 9 Formatting and Display: 8 Code Quality: 9 Data Preparation: 10 Total: 45

From: Michael Weylandt @.> Date: Thursday, September 26, 2024 at 11:36 AM To: mt1536/STA9750-2024-FALL @.> Cc: SIDDHI KATARIA @.>, Mention @.> Subject: Re: [mt1536/STA9750-2024-FALL] STA9750 mt1536 MiniProject #01 (Issue #2) ATTENTION: This email came from an external source. Do not open attachments or click on links from unknown senders or unexpected emails.

Thanks @mt1536https://github.com/mt1536 !

Peer Feedback:

It is now time for the peer feedback round for Mini-Project #1https://github.com/mt1536/STA9750-2024-FALL/issues/1. Please review @mt1536https://github.com/mt1536'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 @mt1536https://github.com/mt1536, but you are of course welcome to initiate a discussion.

@mt1536https://github.com/mt1536: please engage fully with your peers. They are here to help you!

Submission URL should be: https://mt1536.github.io/STA9750-2024-FALL/mp01.html

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

Thanks! @michaelweylandthttps://github.com/michaelweylandt

CC: @charles-ramirezhttps://github.com/charles-ramirez

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