This respository is for the final group project of the course MED5018, SUSTech. We tried to analyze the data of COVID-19 from various aspects, including vaccinations, relations of some factors (i.e. sex, age, economy, smoking prevalence, diabetes prevalence) to mortality/new_confirmed/new_deceased, and clustering of another set of factors for possible commonality.
The results are summarized briefly in the document.
- Please download data into the
data/
folder (in local and don't submit them) and save figures into theassets/
folder - Save the code in corresponding folders, i.e.
code/direction1
,code/direction2
orcode/direction3
- If meet some problem when using git or github, check using-github-tutorial or refer to Github official document.
- After plotting, add some descriptions for the pictures in the corresponding README.md file if possible. (it's ok to write them in the .ipynb file)
- Data of relatively small size are already uploaded.