This project looks at how COVID-19 deaths might be connected to things that make people happy. We're checking if there's a link between how many people passed away due to COVID-19 in different countries and factors that contribute to happiness, like how much money people have, how healthy they are, how much support they get, how free they feel, how generous people are, and how they see corruption. We'll use numbers and math to see if there's a connection between these sad events and what makes people feel good. The aim is to understand if there's any relationship between tough times and how happy people feel around the world.
In this link you can find a complete report about this project :
https://github.com/fmohammadipour/MADE-WS2023/blob/main/project/final-report.ipynb
if you are interested in exploring choosen dataset you can go over this file and see some visualization on them :
https://github.com/fmohammadipour/MADE-WS2023/blob/main/project/data-exploration.ipynb
in the following link you can also see the slides presenting this project as well:
https://github.com/fmohammadipour/MADE-WS2023/blob/main/project/slides.pdf
In this project one of the datasets in provided by kaggle. For downloading and use it in this project, we need to use their authentication system which includes a kaggle.json file.
you can get it from link
for more instruction and help about using kaggle api you can visit :
after getting it, the file should be placed in /project/kaggle.json
Filepath: /project/kaggle.json
{
"username":"far*****r",
"key":"ad25*******************1f"
}
- Clone this git repository.
git clone https://github.com/fmohammadipour/MADE-WS2023.git./project/reqInstall.sh
./project/pipeline.sh
this pipeline is designed to run pipeline.py to read data from its source and do some cleaning and save the results in sqlite files in /data folder.