STA9750 Velasco23 MiniProject #02

[velasco23]

Hi @michaelweylandt!

I've uploaded my work for MiniProject https://github.com/velasco23/STA9750-2024-FALL/issues/3 - check it out!

https://velasco23.github.io/STA9750-2024-FALL/mp02.html

[michaelweylandt]

Thanks @velasco23 !

Peer Feedback:

• @Slyastrologer
• @clintavarghese
• @Will-Peters
• @mt1536

It is now time for the peer feedback round for Mini-Project 02. Please review @velasco23'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 @velasco23, but you are of course welcome to initiate a discussion.

@velasco23: please engage fully with your peers. They are here to help you!

Submission URL should be: https://velasco23.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

[slyastrologer]

Hi @velasco23!! Please find my feedback below.

Written Communication: 8 Your report flowed smoothly, but for the next time, I would recommend integrating the professor’s questions a bit better into your presentation. I would also suggest including more details about your thought process when answering the questions (for example: why a box plot to evaluate successful and unsuccessful movies?).

Project Skeleton: 10

Formatting & Display: 10

Code Quality: 10 The quality of your code is very good, and I liked how you included different types of graphs such as box plots (I have never seen box plots used in the way you used them before).

Data Preparation: 10

Total: 48/50 Your project was formatted nicely and I liked the inclusion of different types of data visualizations in your project. I think if you integrated the professor’s questions into your presentation better and tell readers a bit more about your thought processes, this would be an even better project.

[velasco23]

@slyastrologer thank you for taking the time to grade my work. I will take your feed back and improve my future submissions.

[Will-Peters]

Hi @velasco23

Firstly, it is clear a lot of work has gone into this project, and you have made sure that you are addressing each question, and do well suppressing the code, to be investigated as needed.

Written Communication: 9 I like the fact that you did copy in the questions, however maybe against my other comments, that fact that you have to scroll back up to see the question it is addressing, when reviewing the code makes it difficult to follow.

Project Skeleton: 10 Need I say more, you addressed each of the points, and put a lot of work into ensuring, it even copying it over

Formatting & Display: 9 Maybe this is a little nitpicky however when putting it onto a dark blue background, would advise against a light blue text to answer, additionally when commenting on the mutate/TITLE_RATINGS it is a lot of colours having white background, purple text.

Code Quality: 9 The quality of your code is very good, however would like to see some of the tables being produced i.e. for t2q1 to validate and prove out the results.

Data Preparation: 10

Total: 47/50 Your project was formatted nicely and I liked the inclusion of different types of data visualizations in your project. I think if you integrated the professor’s questions into your presentation better and tell readers a bit more about your thought processes, this would be an even better project.

[clintavarghese]

@velasco23 Great effort overall! Here’s my feedback:

Written Communication: 7 Your project has a nice flow, but the code could benefit from more detailed comments. This would make it easier to follow and understand your work. Also, consider placing the code next to the questions to clarify your findings.

Project Skeleton: 10 The project structure is well-organized, and I especially appreciate the clear table of contents.

Formatting & Display: 7: Each section is well-titled, but in Task 4, you haven't accounted for individual decades. For instance, in Task 4 Q1 - Top 10 Genres, the bar graph lacks detail on genre performance across each decade. For Task 4 Q2, using a line chart instead of a box plot could better illustrate trends over time. In Task 4 Q3, it would be beneficial to show how genres are associated with decade rather than a specific year(hits_gen2010 <- hits |> filter(rank>36) |> left_join(gen, by = "tconst") |> filter(startYear=="2010") . Some of your graphs are excellent, though others could better match the intended analysis.

Code Quality: 9 Your code quality is strong overall. I’d just recommend adding more comments for clarity and selecting visualization types that best convey your insights.

Data Preparations: 10

Total: 43/50

Keep up the great work!

[mt1536]

Hi @velasco23,

Written Communication: 9 Your report is well-written and flows naturally. The only thing I would point out is that the instructor provided questions could be further incorporated into the data exploration by showing the motivation and explaining their insights about the data. However, when taking the project as a whole, I see this is not necessary.

Project Skeleton: 10 Excellent Project Skeleton

Formatting & Display: 10

Code Quality: 10 This is just flawless

Data Preparation: 10

Total: 49/50 I love how you folded the code chunks. I might use that going forward. Data visualization was very clean. Your proposal at the end sounds very interesting. Great job