Skip to content

Latest commit

 

History

History
23 lines (16 loc) · 811 Bytes

README.md

File metadata and controls

23 lines (16 loc) · 811 Bytes
Raw

Footstats

Scraping player statistics from the Brasileirão 2024 and displaying insights on a dashboard.

Project Objective

  1. Collect player statistics from the Brasileirão 2024.
  2. ETL for data consolidation into historical and summary tables.
  3. Display data on a dashboard.

Project Structure

Scraper

  • Web scraping player statistics from the 2024 Brasileirão from fbref.com.
  • Loading data into a staging table and logging storage.
  • Using the BeautifulSoup and SQLAlchemy libraries.

Dashboard

  • Developing a dashboard with Streamlit, featuring multiple pages.
  • Utilizing libraries such as Plotly Express, Pandas, and Numpy.

Database

  • Modeling tables and procedures in Oracle Autonomous Database using Oracle Cloud Infrastructure.