The name of the GitHub Repo is not a sign that this is a school paper; the folder is clean and well-organized.
README.md
The README.md is completed, including an overview section and folder description, and an LLM usage claim. The readme also includes acknowledgement, data source, and how to use it; it is a detailed and well-structured readme file.
LLM
There is an LLM usage file, which includes all the conversations that help generate this report. Add specific times that the chats will be more helpful.
outputs/paper.pdf
Title, abstract and introduction
The title is good and clear, which will help the reader understand the focus of this paper. The abstract is good; it uses concentrated language to explain motivation and what has been done in this paper. Maybe including a table of contents will help the reader understand what sections are included in your paper.
Data
The data section is well explained, including data sources and what packages are used to clean data. Maybe including a glimpse of the data will help the reader to understand the data more easily. This entire section explains where the data came from, how dealt with the data and which is the interesting variable.
Results
The result section is a complete result section that gives an explanation of each coefficient of each variable. And also gives the conclusion of whether the regression analysis is valid in this situation. Then explained the r square to help understand the explanatory power of the model.
Discussion
There are six discussion sections. Bias and weaknesses are explained well in the limitation section. And also included a future section in the discussion. This is a good discussion section.
Reference
The reference section is included; it uses BibTeX format and also cites r and other packages that are used in reference.
Data folder
The folder includes raw data, simulated data, and also data after cleaning, which is well structured.
The name of the GitHub Repo is not a sign that this is a school paper; the folder is clean and well-organized.
README.md
The README.md is completed, including an overview section and folder description, and an LLM usage claim. The readme also includes acknowledgement, data source, and how to use it; it is a detailed and well-structured readme file.
LLM There is an LLM usage file, which includes all the conversations that help generate this report. Add specific times that the chats will be more helpful.
outputs/paper.pdf
Title, abstract and introduction
The title is good and clear, which will help the reader understand the focus of this paper. The abstract is good; it uses concentrated language to explain motivation and what has been done in this paper. Maybe including a table of contents will help the reader understand what sections are included in your paper.
Data The data section is well explained, including data sources and what packages are used to clean data. Maybe including a glimpse of the data will help the reader to understand the data more easily. This entire section explains where the data came from, how dealt with the data and which is the interesting variable.
Results
The result section is a complete result section that gives an explanation of each coefficient of each variable. And also gives the conclusion of whether the regression analysis is valid in this situation. Then explained the r square to help understand the explanatory power of the model.
Discussion
There are six discussion sections. Bias and weaknesses are explained well in the limitation section. And also included a future section in the discussion. This is a good discussion section.
Reference
The reference section is included; it uses BibTeX format and also cites r and other packages that are used in reference.
Data folder
The folder includes raw data, simulated data, and also data after cleaning, which is well structured.