This is a Jupyter Notebook (match_data_analysis.ipynb) with data analysis of interesting trends in the English Premier League from 2010-2018.
View the notebook markdown by opening the match_data_analysis.ipynb file.
The notebook uses Python3 with the help of MatPlotLib for plotting trends in the data, NumPy for creating/manipulating arrays efficiently, and Pandas for organizing data with tables and relevant groups to explore relationships and trends in the data.