Python分析NBA比赛数据_python分析nba_python_NBA_数据分析_

[{"title":"（ 13 个子文件 238KB ） Python分析NBA比赛数据_python分析nba_python_NBA_数据分析_","children":[{"title":"Python分析NBA比赛数据","children":[{"title":"说明文档","children":[{"title":"Elo等级分定义.pdf <span style='color:#111;'> 197.35KB </span>","children":null,"spread":false}],"spread":true},{"title":"17-18Result.csv <span style='color:#111;'> 61.25KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"16-17Team_Per_Game_Stats.csv <span style='color:#111;'> 4.08KB </span>","children":null,"spread":false},{"title":"16-17Opponent_Per_Game_Stats.csv <span style='color:#111;'> 4.09KB </span>","children":null,"spread":false},{"title":"16-17Miscellaneous_Stats.csv <span style='color:#111;'> 4.99KB </span>","children":null,"spread":false},{"title":"2016-2017_results.csv <span style='color:#111;'> 47.55KB </span>","children":null,"spread":false},{"title":"17-18Schedule.csv <span style='color:#111;'> 43.45KB </span>","children":null,"spread":false}],"spread":true},{"title":"其他年份数据","children":[{"title":"16-17Schedule.csv <span style='color:#111;'> 42.17KB </span>","children":null,"spread":false},{"title":"2015-2016_results.csv <span style='color:#111;'> 47.94KB </span>","children":null,"spread":false},{"title":"15-16Miscellaneous_Stats.csv <span style='color:#111;'> 4.68KB </span>","children":null,"spread":false},{"title":"15-16Opponent_Per_Game_Stats.csv <span style='color:#111;'> 3.98KB </span>","children":null,"spread":false},{"title":"15-16Team_Per_Game_Stats.csv <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false}],"spread":true},{"title":"Analysis_NBA_Data.py <span style='color:#111;'> 5.41KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]