Personal research project to work with NBA data, by preparing, filtering, adding metrics of interest and visualizing the top performers of the season
Usage of pandas, seaborn and matplotlib libraries to perform a deep analysis to the NBA regular season in order to determine the best players in terms of offensive efficiency, defensive rating, speed to achieve certain goals and many more statistical approaches
Code explanation is attached in the Code folder with detailed information regarding the followed procedure, and all the visualizations are too in the graphs one
Data was obteined from Basketball Reference (https://www.basketball-reference.com/leagues/NBA_2021_per_game.html)