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mussakone / STA9750-2024-FALL

Project for Basic Software Tools for Data Analysis
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STA9750 <GITHUB_USERNAME> MiniProject #01 #2

Closed mussakone closed 1 month ago

mussakone commented 1 month ago

Hi @michaelweylandt!

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

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

Sorry it's incomplete I was having issues with RStudio memory and time is short

michaelweylandt commented 1 month ago

Thanks @mussakone !

Peer Feedback:

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

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

Submission URL should be: https://mussakone.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

chricannon commented 1 month ago

Your URL works but it appears you did not get through the entirety of the project.

Written communication: 2/10. I can see your title "this is my project" and heading "Here is some text", but there is otherwise no other written text speaking to the code, questions, and findings.

Project Skeleton: 2/10. The instructor provided code was properly included. You answered a few of the prompts, but most of the tasks were not complete.

Formatting & Display: 3/10. The outputs of the code you inputted are properly displaying table outputs, but there are no other tables created or displayed.

Code Quality: 10/10. The code inputted runs properly.

Data Preparation: 10/10. Automatic.

Total: 27/50

Edodia commented 1 month ago

Hi @michaelweylandt https://github.com/michaelweylandt & @mussakone https://github.com/mussakone,

Project Skeleton: 6/10. Did not finish however the code was written correctly and works. Written Communication: 5/10 Needs more personal discussion of code.However, there are some comments describing the tasks. Code Quality: 10/10 Data Prep 10/10 Formatting And Display 7/10: Would look alot better if tables were added, however it looks readable and clear.

Total 38/50

On Thu, Sep 26, 2024 at 11:36 AM Michael Weylandt @.***> wrote:

Thanks @mussakone https://github.com/mussakone !

Peer Feedback:

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

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

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

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

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

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

— Reply to this email directly, view it on GitHub https://github.com/mussakone/STA9750-2024-FALL/issues/2#issuecomment-2377312981, or unsubscribe https://github.com/notifications/unsubscribe-auth/A5WEXCP2UAW5PTKVCCWGIKTZYQSXPAVCNFSM6AAAAABO37RKDSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGNZXGMYTEOJYGE . You are receiving this because you were mentioned.Message ID: @.***>

velasco23 commented 1 month ago

Hi @mussakone I was able to access your website successfully.

Written Communication - 7/10 although we all know what the project is about adding a little context about the data set and the question/task can add value for future uses.

Project Skeleton - 7/10 would be a 10/10 if it was complete.

Formatting & Display 7/10 - I would recommend to break it up by tasks assigned.

code quality - 9/10 - variable names made sense.

Data Preparation - 10/10

40/50

mussakone commented 1 month ago

Your URL works but it appears you did not get through the entirety of the project.

Written communication: 2/10. I can see your title "this is my project" and heading "Here is some text", but there is otherwise no other written text speaking to the code, questions, and findings.

Project Skeleton: 2/10. The instructor provided code was properly included. You answered a few of the prompts, but most of the tasks were not complete.

Formatting & Display: 3/10. The outputs of the code you inputted are properly displaying table outputs, but there are no other tables created or displayed.

Code Quality: 10/10. The code inputted runs properly.

Data Preparation: 10/10. Automatic.

Total: 27/50