/EDA-NBA-shot_logs

🏀📈 Exploratory Data Analysis of NBA players based on shot logs during the 2014-15 season

Primary LanguageJupyter Notebook

Kaggle, Python (pandas, Numpy and seaborn library)

National Basketball Association EDA Based on shot logs.

this EDA is based on the data from the shots logged during the 2014-2015 season of the NBA.

the "shot_logs" dataset from kaggle which contains all the information including game ID and closest defender to a shot made during every game played during the season

-this information can be useful in making out the players for awards such as the "best defensive player" or "the most valuable player" based on the number of shots blocked or made respectivley

-this can also be used to look for potential trade oppurtunities between two franchise, hence making important stat and financial decisions.