Python
import pandas as pd

url = 'https://raw.githubusercontent.com/fivethirtyeight/nba-player-advanced-metrics/master/nba-data-historical.csv'
nba_df = pd.read_csv(url)
nba_df = nba_df[['player_id', 'name_common', 'year_id', 'age', 'team_id', 'G', 'Min', 'MPG', 'FT%']]
nba_df = nba_df.dropna()
nba_df.shape
(19489, 9)