STA/OPR 9750 CristelKZuniga MiniProject #02

[CristelKZuniga]

Hi @michaelweylandt!

I've uploaded my work for MiniProject #02 - check it out!

https://cristelkzuniga.github.io/STA9750-2024-FALL/mp02.html

Thank you!

[michaelweylandt]

Thanks @CristelKZuniga !

Peer Feedback:

• @mussakone
• @Gautam-1-R
• @greazyz
• @Haina0

It is now time for the peer feedback round for Mini-Project 02. Please review @CristelKZuniga's submission for this mini-project and provide peer feedback.

Using the rubric at https://michael-weylandt.com/STA9750/miniprojects/mini02.html#rubric, please grade their submission out of a total of 50 points. Note that this rubric is slightly different than that used for Mini-Project 01.

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 @CristelKZuniga, but you are of course welcome to initiate a discussion.

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

Submission URL should be: https://CristelKZuniga.github.io/STA9750-2024-FALL/mp02.html

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

Thanks! @michaelweylandt

CC: @charles-ramirez

[mussakone]

Hi Cristel! I have reviewed your project and here is my feedback below:

Written Communication: 10/10 I believe your written communication for your project was really good. You had an intro that let me know what kind of data I was going to view and in your questions for the task you showed your code along with a caption that explained what your data meant. Your elevator pitch was also really good and creative.

Project Skeleton: 10/10 All of your task were completed and neatly organized as well.

Formatting and Display: 10/10 First of all your project is very appealing because of the way you split up each section making it very easy to follow even with so much code. I also like how you included a picture in the end,I don't see that too often with these kinds of projects. Your charts are also different but effective in showing data.

Code Quality: 8/10 All your code is accurate in helping you find answers to yours questions, however you have some 'warnings' within your code . You should use warning= False this was suggested to me by another student.

Data Prep: 10/10 All the data is present and gathered properly in other to complete the project.

Overall Grade : 48/50

[greazyz]

Hi @CristelKZuniga,

Written Communication (6): The introduction gave a good outline of the report. There isn't a lot of explanation before you completed each step and how each step connects to the next. Project Skeleton (9): All the code is clear and directly answers all the questions. I like that you used R code to print out the answer; I see it used in question 5 of task 2. You can clean up more of the R code output with chunk options. Formatting (8): I like that you explored different graphs with ggplot2. I am not sure if the scatterplot was useful in showing the success metric when it doesn't show which dot represents which movie. The heat map was fun to analyze! Code Quality (9): You can use {r message=FALSE error=FALSE} to hide a lot of the messages that appear after your code to make it neater. Data Prep (10)

Total: 42/50

[Haina0]

Hi @CristelKZuniga

I enjoyed reviewing your project site, it's very detailed and organized.

Written Communication: 9/10 The report is organized well, addressing each project question with clear responses with great explanations.

Project Skeleton: 9/10 Your responses are clear and to the point.

Formatting & Display: 7/10 The tables and figures are presented effectively, making the data easy to read.

Code Quality: 10/10 The code executes correctly with well-chosen variable names, making it easy to understand the logic behind each step and you added comments to help explain parts of the code.

Data Preparation: 10/10

45/50 - Great Work!