- Web Scraping: Extract data from USports official website and USports hoops website using Python libraries like BeautifulSoup and requests.
- Data Cleaning: Process scraped data for consistency, accuracy, and relevance. Handle missing values, standardize formats, and remove duplicates.
- Database Integration: Store cleaned data into an SQLite database for efficient management and retrieval.
- Data Analysis: Analyze collected data for insights into team performance, player statistics, game outcomes, and other relevant metrics.
- Data Visualization: Utilize Matplotlib to create graphs and plots for visualizing analysis results.
Here are some visualizations generated from the analysis:
