This project was created as part of my Data Science MSc. The task was to explore a data set related to the English Premier League and perform some statistical analysis and visualisation on the data set.
I chose to look at 11 key metrics to see whether these had a strong impact on a team's success. I obtained the data through a combination of direct downloads and web scraping using the BeautifulSoup library. This project required a large amount of data preprocessing and cleaning in order to get the data into a format suitable for analysis.
The analysis was performed primarily with Pandas data frames, and the visualisation used Matplotlib, Seaborn and Folium to create interactive maps.