Streamlit - Data clearing - Web Scraping

MongoDb - Docker - Api - Heroku - Postman

This repository contains a Python Streamlit application for analyzing Eurocopa data. In order to do that I have used a kaggle dataset which have been fed with wikipedia information using web scraping using BeautifulSoup library (web_scrapping.ipynb) as well as cleaning the data(VisualizacionDedatos.ipynb).

This information was loaded in a MongoDB Atlas cloud (alimentar_bbdd.ipynb) and the information was recovery through endpoints using Fastapi (eurocopa.py)

All this information is loaded into a docker container and uploaded to an heroku website (https://newappeurocopa.herokuapp.com/) and the information can be requested via Postman returning a .json

where the api will be ready to be consumed by the streamlit dashboard at https://euro-dashboard.herokuapp.com/. For the geolocalitation I used an API provided by Nominatim.

It is important to keep in mind that the main objetive of this project is to show tha differents tools I'm able to use more than the beauty of the dashboard