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ayrama / STA9750-2024-FALL

Project from STA9750 - Fall 2024
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STA/OPR 9750 <GITHUB_USERNAME> MiniProject #02 #6

Open ayrama opened 1 week ago

ayrama commented 1 week ago

Hi @michaelweylandt!

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

The only remaining issue I couldn’t resolve is changing the theme of the web pages for index.html, mp01.html, and mp02.html. I need to switch themes because the TD tables are barely visible in the current dark 'solar' theme. I updated the theme in the _quarto.yml file to 'flatly' (a much lighter theme), then re-rendered, committed, and pushed the HTML files to my GitHub repo, but the theme remained unchanged. Even after deleting all the HTML files and the _quarto.yml file, re-creating, and pushing the newly rendered HTML files, the problem persisted. It seems to be related to GitHub's history because I was able to render the pages with the lighter theme locally.

I’ve decided not to spend any more time troubleshooting this issue for now, and I just wanted to inform you that the following link is working: mp02.

I’ll post on Piazza with details on how I managed to render the Quarto file for 'Mini-Project 2'.

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

Timbila614 commented 1 week ago

Hi @ayrama

Written Communication: 10/10 The report is clear and flows naturally. Key findings are highlighted, though their motivation and context could be slightly expanded to make them even more impactful. The writing is accessible, without major grammatical issues, making it easy to follow the project’s progression.

Project Structure: 10/10 You went beyond the basic requirements with some insightful responses to the open-ended tasks, showing a strong grasp of the material and creativity in your approach.

Formatting & Display: 10/10 Tables and figures are well-formatted, with appropriate column names, reasonable digits, and a clear display of information. Figures are of good quality, though still exploratory rather than fully polished for publication.

Code Quality: 8/10 You used well-chosen variable names and maintained a logical flow in your code. The comments offered basic explanations of your steps, ensuring the reader could follow along with your analysis. However, try adding code-fold: true to reduce the crowdiness of your chunks.

Data Preparation: 10/10 You handled data sub-sampling properly, ensuring that the dataset was ready for analysis.

Total: 48/50