This repository is a final project for Modern Applied Data Analysis (EPID 8060E) course.
This project uses RStudio, Quarto, Github, and Zotero.
- All data related to this project are in the subfolders inside the
data
folder. Theraw_data
folder contains the raw data file in .rds format whileprocessed_cleaned_data
contains 2 cleaned data files in .csv and .rds formats. The only difference between those 2 cleaned data files is just their file type. - All codes related to this project are in
code
folder with subfolders. Theprocessing_cleaning_code
folder contains the code file used for importing and cleaning raw data whileanalysis_code
folder contains the code file used for doing the analysis of cleaned data. - All results (figures, tables, computed values) are in the
results
folder with subfolders. Theexploratory_analysis_result
folder contains the results generated during the exploratory analysis process whilefinal_analysis_result
folder contains the results generated during the final analysis process. - All products (manuscripts, supplement, references, presentation slides, web apps, etc.) are in the
products
folder with subfolders. Themanuscript
folder contains the manuscript of the project including Introduction, Methods, Results, Discussion, and Conclusion parts whilesupplement
folder contains the supplementary materials of this project. Thebibtex
folder contains the reference file in CSL style that were used as references in this project. - For more information, please go through
readme.md
files in each folders.
Once you got the repository, you can check out the examples by executing them in order. First run the processing_cleaning_code, which will produce the processed data. Then run the analysis scripts, which will take the processed data and produce some results. Then you can run the manuscript file.