Open michaelweylandt opened 1 week ago
Hi @ayrama,
Here is my feedback for your mini-project #3
Written Communication : 10/10 You project flows and you communicate all the tasks you seek to explore. There's an appropriate into and conclusion to the project. You may have missed a "g" in a 1 or 2 instances of "strategy".
Project Skeleton : 11/10 You address all of challenges, including all of the challenging components of the project. You were also able to handle the added Hawaii / Alaska challenge for the chloropleth.
Formatting and Display : 10/10 You offer a nice offering of tables and plots. The faceted chloropleth looks very good. Cool use of horizontal rules in your breakdown of the different electoral college systems.
Code Quality: 10/10 Your code is easy to read and to follow. I like how you handled the fusion challenge into one sort-of monolithic exercise. I find it easier to read that way than a series of broken-up steps.
Data Preparation: 10/10 I think all of the data prep tasks look good. The functions you crafted to handle the data downloading are clean and appropriate for the proper downloading of information.
Collected score: 51/50
Hi @ayrama,
Written Communication : 10/10 Project is well written and flows good, well thought out explanations throughout.
Project Skeleton : 10/10 Everything is answered throughly.
Formatting and Display : 10/10 Display looks professional and all the graphs and tables are well put together. The only thing that i would add is removing the grids on the map graphs. Removing these graphs lines would make the maps look really nice and more like what a typical map looks like.
Code Quality: 10/10 Code is well thought out, complete and logical.
Data Preparation: 10/10 Data is automated thus prepared well.
Collected score: 50/50
Written Communication : 10/10 I am impressed with the overall appearance and the advanced visualizations
Project Skeleton : 10/10 Very well done
Formatting and Display : 10/10 It looks really well the format is pleasant all the graphs and tables are well put together.
Code Quality: 10/10 Code is well thought out, complete and logical.
Data Preparation: 10/10 Great job!
Total score: 50/50
Hi Ayrama, Written Communication 10: You have shown that you completely understand each part of the assignment by explaining each task and question. I like that you took the effort to explain each of the 4 ECV systems. Project Skeleton 11: All prompts are completed and the graphs you chose to represent the data are very creative. Formatting and Display 10: Formatting is consistent and each table and graph is relevant to the report. Code Quality 10: From the code, I see that you spent extra time cleaning up the graphs and the effort showed with the clear and bright plots. Data Prep 10: Data import for congressional shapefiles is fully automated and efficient.
Total: 51/50
Thanks @ayrama !
Peer Feedback:
It is now time for the peer feedback round for Mini-Project 03. Please review @ayrama's submission for this mini-project and provide peer feedback.
Using the rubric at https://michael-weylandt.com/STA9750/miniprojects/mini03.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-Projects 01 and 02.
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 @ayrama, but you are of course welcome to initiate a discussion.
@ayrama: please engage fully with your peers. They are here to help you!
Submission URL should be: https://ayrama.github.io/STA9750-2024-FALL/mp03.html
Feel free to link to other repos, the course documentation, or other useful examples.
Thanks! @michaelweylandt
CC: @charles-ramirez