see a live demo here
This Python script scrapes NBA rookie data from Tankathon and retrieves player statistics from the NBA API. The data is saved in a CSV file for further analysis.
This script scrapes NBA rookie information from Tankathon for a given draft year and combines it with career stats from the NBA API. The final dataset, which includes rookies' draft positions and their statistics, is saved as a CSV file.
Ensure you have the following Python libraries installed:
pip install requests beautifulsoup4 pandas numpy nba_api streamlit
This project is a Streamlit-based web application that visualizes NBA rookie data for the 2023 season. It loads and displays a dataset of NBA rookies along with their career stats and enhances the presentation by associating team logos with each player.
The NBA Rookie of the Year Dashboard allows users to explore rookie performance statistics for the 2023 season. It features:
- Display of key rookie stats such as games played, minutes, field goals, and more.
- Team logos displayed alongside the rookie's data for a visually engaging experience.
- An interactive table where users can filter and edit the rookie stats.