This project consists of web scraping features of S&P 500 companies like ticker, company name, sector, headquarter, date first added and foundation year from Wikipedia with Python using BeatifulSoup and Requests libraries. Then, the web scraped data is cleaned to perform data visualization in order to deliver insights about S&P 500 companies.
